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PARKSIDE LINK ROAD TRAFFIC MODELLING REPORT Intended for St. Helens Council Document type Report Date May, 2017

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Page 1: PARKSIDE LINK ROAD TRAFFIC MODELLING REPORT

PARKSIDE LINK ROAD

TRAFFIC MODELLING

REPORT

Intended for

St. Helens Council

Document type

Report

Date

May, 2017

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PARKSIDE LINK ROAD

TRAFFIC MODELLING REPORT

Ramboll

2nd Floor, The Exchange

St. John Street

Chester

CH1 1DA

United Kingdom

T +44(0)1244 311855

www.ramboll.co.uk

Revision [xx]

Date 24/04/2017

Made by Tom Craven

Checked by Nicola Evans

Approved by Nigel Roberts

Ref PD-RAM-03-00-REP-TR-OOO2

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TRAFFIC MODELLING REP0RT

CONTENTS

1. INTRODUCTION 1 1.1 Scheme Summary 1 1.2 Report Structure 2 2. MODEL OVERVIEW 3 2.3 Base Year 4 2.4 Model Data Sources 4 2.5 Model Time Periods 4 2.6 Modelled User Classes 4 2.7 Trip Matrices 5 2.8 Model Network 5 2.9 Calibration, Validation, Realism and Sensitivity Testing 5 2.10 Demand Model Structure 5 3. SUMMARY OF DATA COLLECTION 6 3.1 Traffic Counts 6 3.2 ATC Data 8 3.3 Journey Time Data 8 3.4 Signal Data 9 3.5 LCRTM Data 9 4. BASE MODEL BUILD 10 4.1 Modelled Areas 10 4.1.1 Building Network 11 4.2 Network Coding 13 4.2.1 Traffic Signals 14 4.2.2 Roundabouts 14 4.2.3 Priority Junctions 14 4.2.4 Links 14 5. TRIP MATRIX DEVELOPMENT 15 5.1 Introduction 15 5.2 Zone System 15 5.2.1 Fully modelled Area 15 5.3 Approach to Matrix Development 15 5.4 Matrix Assignment 16 6. MODEL VALIDATION 19 6.1 Base Model Validation 19 6.2 AM Peak validation 19 6.3 AM Peak DMRB & GEH Statistics 19 6.4 AM Peak Summary 19 6.5 Inter-peak validation 20 6.6 Inter-peak DMRB & GEH Statistics 20 6.7 Inter-peak Peak Summary 20 6.8 PM Peak validation 21 6.9 PM Peak DMRB & GEH Statistics 21 6.10 PM Peak Summary 21

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7. TRAFFIC FORECASTING 23 7.1 Introduction 23 7.2 Traffic Forecast Rates 23 8. TRIP GENERATION 25 8.1 Proposed Trip Generation 25 8.2 Development Trip Rates 25 8.3 Development Trips 26 8.4 Final Forecast Trip Matrices 27 9. PARKSIDE LINK ROAD SCHEME ASSIGNMENT (DO

SOMETHING) 36 10. CONCLUSION 38

APPENDICES

Appendix 1 TURNING COUNT SURVEY SUMMARY

Appendix 2 TRICS DATA

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1. INTRODUCTION

Ramboll has been commissioned by Balfour Beatty on behalf of St. Helens Council (SHMBC) to

develop a SATURN (Simulation and Assignment of Traffic to Urban Road Networks) Transport

Model in support of the Outline Business Case (OBC) for the development of the Parkside Link

Road in St. Helens, Merseyside.

This transport model is used to understand current traffic conditions in the area, to provide

evidence for the planning of changes to the transport network and to produce traffic forecasts

that are used in the detailed economic, social and environmental appraisal of proposed

interventions in the transport system.

The primary purpose of the model is to test the impact of the link road on the highway network

including the M6 and M62 motorways and all local strategic roads.

This report presents the methodology used to build the base SATURN model which will help

assess the changes to the highway network as a result of the proposed Parkside Link Road.

1.1 Scheme Summary

Figure 1.1: Parkside Regeneration Scheme + Proposed Parkside Link Road

Figure 1.1 presents the current plans for the Parkside Regeneration site which will be split in to 3

phases of which Phase 1 is planned to be operational by 2020 with Phase 2 and Phase 3

becoming operational over the next 10 years. A more detailed breakdown of accommodation for

the site is explained in Chapter 8.

Following the decommissioning of Parkside Colliery, there has been significant interest from both

the private and public sector in bringing the site forward for logistics and distribution use and as

a Strategic Rail Freight Interchange (SRFI). The Parkside Link Road will provide direct access to

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the Parkside Regeneration site from a new signalised junction on the A49 in the west, to the

motorway network at Junction 22 on the M6 in the east. The road scheme will include new

junctions with the A573 Parkside Road and the A579 Winwick Lane. In addition, it will provide

access to the land to the east of the M6 J22 enabling future development of the proposed SRFI

development. Completion of a SRFI at Parkside will bring new economic activity to the borough,

with thousands of jobs created on site and across the Liverpool City Region. The site benefits

from a strategic location adjacent to the M6 and M62 and is the only potential SRFI site in the

region that has the potential to receive trains from all directions and will serve intermodal flows

on the West Coast Mainline and Chat Moss line.

The new Link Road will form a strategic link to the network utilising the existing A573 Parkside

Road overbridge crossing over the M6, enabling access to sites on both the west (Phase 1 & 2)

and east (Phase 3) of the M6 and improving connectivity through the region. The outcome of

this study was an indicative benefit cost ratio (BCR) for use at Strategic Outline Business Case

(SOBC).

1.2 Report Structure

This report summarises the development of the 2015 base year Parkside Link Road Transport

Model (PLRTM) and its subsequent validation, in accordance with the Department for Transport’s

(DfT) Transport Assessment Guidance: WebTAG.

Following this introduction, the report structure is as follows:

Chapter 2 provides an overview of the modelling approach;

Chapter 3 describes the data used in the model development;

Chapter 4 provides an overview of the of how the base SATURN model was built;

Chapter 5 outlines the development of the model network trip matrices;

Chapter 6 discusses the model’s validation methodology;

Chapter 7 provides details of the traffic forecasting;

Chapter 8 provides an estimate of the trip generation for the full Parkside Regeneration site ;

Chapter 9 presents the assigned flows for the ‘Do Something’ trip matrices; and

Chapter 10 provides a conclusion.

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2. MODEL OVERVIEW

The key requirement of the transport model is that it represents accurately the base year traffic

patterns on the road network and therefore forms a robust basis on which to forecast future year

network conditions, both with and without changes to the transport network in the area.

The transport models base and future year traffic flows and conditions play an important role in

scheme assessment, environmental appraisal, highway and junction design and economic

assessments.

2.1 Model Availability and Scope

The existing Liverpool City Regional Traffic Model (LCRTM), which covers the area of interest for

the Parkside Link Road, has been identified to help appraise the scheme for the OBC. The model

has a base year of 2012 and includes up-to-date transport forecasts for the Liverpool City

Region. The model was deemed suitable for the SOC (Stage 1 in the appraisal process as defined

in TAG), however, the LCRTM is a link based strategic transport model and, as such, can only

provide an indication of the impact of the scheme. It does not contain junction coding so, for

example, the impact on Junction 22 on the M6 cannot be fully considered.

Therefore, a new SATURN based model has been considered appropriate to support the Outline

Business Case (OBC) for the new Parkside Link Road.

The proposed extent of the model is identified in Chapter 4 and has taken into consideration the

requirements for air quality and noise and considered local operational requirements.

2.2 Model Structure

This report sets out the development of the SATURN model built to assess the traffic flows on the

network and the potential impact of the new Parkside Link Road. The nodes and zoning structure

of the model are outlined in Chapter 4 and are considered to be appropriate to the level of detail

within the transport network and takes into account future, as well as existing, land uses.

This model uses SATURN version 11.2.05, which is a ‘congested assignment’ software suite

widely used for the evaluation of all kinds of highway systems and proposals, and is recognised

as an “industry standard” traffic assignment model that satisfies the requirements for modelling

highway networks as set out in WebTAG.

The suite provides a combined traffic simulation and assignment model for the analysis of road

proposals ranging from traffic management schemes over relatively localised networks to major

infrastructure improvements. One of the key features of SATURN is its ability to simulate the

operation of junctions in some detail, including the prediction of queues and delays, the effect of

queues blocking back on adjacent junctions, and the influence of congestion at specific points in

the network on route choice.

The basic inputs to the SATURN model are the transport demands, in the form of a matrix of trip

movements between zones, and the ‘supply’ in the form of a detailed description of the road

network.

Following the network building procedure, the trip matrix is assigned to the network using an

iterative series of loops between ‘assignment’ and ‘simulation’ until the model has converged.

The ‘assignment’ process calculates the minimum cost routes for trips in terms of a weighted

combination of time and distance. The ‘simulation’ stage then simulates the operation of each

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junction in the network. It should be noted that as route costs can depend upon the routes taken

by other vehicles, the junction simulations can lead to a different set of minimum cost routes.

Thus, the process is repeated, until successive assignment-simulation loops produce an

acceptably low level of change in vehicle flows, when the model is deemed to have achieved

convergence.

Following the convergence of the model, the model is calibrated. The modelled number of

vehicles on the network is compared with the observed counts. The description of the road

network (supply) is checked carefully and a matrix estimation procedure is used to adjust the trip

patterns in the trip matrices (demand) if required.

The final stage is to validate the model, in which comparisons are made between modelled flows

and a separate and independent set of traffic count data that was not used in the calibration

process. Modelled journey times are also compared with observed times.

2.3 Base Year

The Parkside Link Road Traffic Model (PLRTM) has been calibrated to a base year of 2015.

2.4 Model Data Sources

The principal sources of data used in the model building process consisted of manual classified

junction turning counts carried out between November 2015 and March 2017 and are detailed in

Chapter 3 of this report.

2.5 Model Time Periods

In accordance with the current standard practice identified in WebTAG Unit 3.1 ‘Modelling’, the

model will assess the AM and PM peak periods and an average inter-peak hour. The peak periods

will be modelled as a single peak hour and are as follows:

AM peak hour – 08:00 to 09:00

PM peak hour – 17:00 to 18:00

Inter-peak hour – 1 hour average between 09:00 to 17:00

2.6 Modelled User Classes

The model is calibrated at a 2 user class level:

Class 1 – Light Vehicles - Cars and Light Goods vehicles

Class 2 - Heavy Vehicles - OGV1 and OGV2

The rationale for splitting the demand in this fashion is that the user classes have quite different

values of time and/or vehicle operating costs. The values affect their choice of routes in the

highway model, their response to changes in costs in the demand model, and also the economic

evaluation of time savings in the cost benefits analysis.

All demand matrices for the traffic assignment are to be in origin-destination (O-D) format. An

O-D matrix stores trips according to the actual origin and destination zone of a trip and this

information is needed so that the trips can be assigned onto the road network.

Demand in the SATURN traffic assignment is expressed in terms of Passenger Car Units (PCU).

The factors used to convert from vehicles to PCUs are presented in the table below.

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Table 2.1: Modelled User Classes in Traffic Assignment

User Class Vehicle Type PCU Factor

1 Cars – Employers’ Business 1.0

2 Cars – Commuting 1.0

3 Cars – Other 1.0

4 Light Goods Vehicles (LGVs) 1.0

5 Heavy Goods Vehicles (HGVs) 2.4

2.7 Trip Matrices

Trip matrices have been estimated from the turning count data. These turning counts form a

comprehensive coverage of vehicle movements through the modelled area and it is anticipated

that careful combination of this data will ensure a robust prior matrix for the study. The final trip

matrix will be estimated using ME2 but it is considered that the amount of estimation in the final

matrix will be small compared to the overall matrix size, providing a robust prior matrix has been

completed.

2.8 Model Network

The majority of the SATURN model network will be included in the Fully Modelled Area and

modelled as simulation networks comprising link and junction attributes. This will enable delays

at junctions to be fully assessed. This is important as the area is very congested and currently a

number of alternative routes are being used to attempt to avoid the major delays at key

junctions. The model will be set up to reflect these route choices.

2.9 Calibration, Validation, Realism and Sensitivity Testing

The SATURN highway assignment model will be calibrated and validated following DMRB’s and

latest WebTAG guidance. This will include link count calibration using WebTAG criteria and

calculation of GEH values. Network journey times will be calibrated against link journey times

and delays for the LCRTM model and strategic links for the DfT TRADS database. Vehicle routing

through the modelled network will be subject to sensitivity testing to ensure that realistic

journeys are taking place in the model.

2.10 Demand Model Structure

Traffic forecasts for the OBC will be produced for the Opening Year (assumed 2020) and a post-

opening future year (2030, 10 years from completion), for the ‘Do Minimum’ and ‘Do Something’

scenarios for the three peak time periods (AM, PM and Inter-peak). This will allow alignment

with the forecast scenarios considered for the LCRTM and ensure compatibility with these

assumptions.

The SATURN model for the Parkside Link Road has been developed as a fixed demand model for

the forecast years. The rationale for this is that the route is of local significance but provides

improved access to the strategic highway network and will be designed for access to local

employment sites; however, due to the fact that it forms a new link in the local network, it will

also attract some localised rerouting of traffic within the network. It will not, however, enable

strategic rerouting of traffic nor significantly improve journey times for longer distance traffic

movements and, as such, is unlikely to attract additional trips through variable demand

parameters. These parameters will, however, be considered in more detail for the later stages of

scheme development.

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3. SUMMARY OF DATA COLLECTION

3.1 Traffic Counts

The SATURN traffic model has been built and validated using existing turning count surveys

undertaken in November 2015 (Traffic Counts 1 & 2) and March 2017 (Traffic Count 3) as part of

the assessment of the Langtree development, Parkside Regeneration. The classified data

includes full turning counts and queue lengths at all recorded sites.

The use of this data will provide a consistent approach with the neighbouring Parkside

Development and includes reliable development flow forecasts. The data is considered to be well

within the permitted age limit and is split in to manual classified turning count data and queue

length data.

Traffic Counts 1 and 2 were undertaken on Tuesday 17th and Wednesday 18th November 2015

between the times of 06:00 to 20:00 and recorded fully classified turning counts and queue

lengths during these hours for all possible traffic movements in 15 minute intervals.

Traffic Count 3 was undertaken on Tuesday 7th March 2017 between the times of 07:30–10:00 &

15:30–18:00 and recorded fully classified turning counts and queue lengths during these hours

for all possible traffic movements in 15 minute intervals.

Data was collected via high mast video units positioned at the junctions and analysed manually

at a later date.

Enumerators recorded the maximum length of queues at each junction, on the same day and

time as the turning counts, every five minutes. Queue lengths were measured by number of

vehicles in queue, where:

Motorbikes

Cars

Small and large vans

Mini buses

Small lorries

were counted as 1 vehicle, and;

HGVs

Full size buses/coaches

were counted as 2 vehicles.

For the purpose of the SATURN model the classified counts were summarised in to 2 user class

categories for the 3 model time periods; AM peak, Inter-peak and PM Peak. Vehicle categories

were summarised as;

1) Light Vehicles (Lights) – includes Cars, Light Goods Vehicles (LGVs), Motor Cycles (MCL)

2) Other Goods Vehicles (OGVs) – includes all Heavy Goods Vehicles (HGVs)

No journey time or Road Side Interview (RSI) data is currently available.

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Table 3.1 below summaries the location, date and survey times for the 3 traffic counts and

subsequent sites used in building the base model.

Table 3.1: Traffic Count Survey Locations

Traffic Count

Site Location Date Survey Times

1 1 M62 Junction 9 17/11/2015 06:00-20:00

1 2 A49 Winwick Park Ave / Newton Road / Winwick Link Road

17/11/2015 06:00-20:00

1 3 M62 Junction 22 17/11/2015 06:00-20:00

1 4 A49 / Delph Lane Site Access 17/11/2015 06:00-20:00

1 5 A49 / Parkside Site Access 17/11/2015 06:00-20:00

1 6 A49 / Hermitage Green Lane 17/11/2015 06:00-20:00

1 7 A49 / Hollins Lane 17/11/2015 06:00-20:00

1 8 A49 / Golborne Road 17/11/2015 06:00-20:00

1 9 Golborne Road / Myddleton Lane 17/11/2015 06:00-20:00

1 10 Barrow Lane / Wincwick Lane 17/11/2015 06:00-20:00

1 11 Barrow Lane / Parkside 17/11/2015 06:00-20:00

1 12 A572 Southworth Road / Parkside Road / Golborne Dale Road

17/11/2015 06:00-20:00

1 13 A49 / Southworth Road 17/11/2015 06:00-20:00

1 14 A49 / Crow Lane East 17/11/2015 06:00-20:00

2 15 A573 / A580 18/11/2017 06:00-20:00

2 16 A580 / Church Lane 18/11/2017 06:00-20:00

2 17 A572 / A580 18/11/2017 06:00-20:00

2 18 B520 / A572 18/11/2017 06:00-20:00

2 19 A572 / A579 18/11/2017 06:00-20:00

3 1 Stone Cross Lane N / A580 East Lancashire Road / Stone Cross Lane S

07/03/2017 07:30-10:00 & 15:30-18:00

3 2 A579 Atherleigh Way / A580 East Lancashire Road 07/03/2017 07:30-10:00 & 15:30-18:00

3 3 A599 Penny Lane / Vista Road 07/03/2017 07:30-10:00 & 15:30-18:00

3 4 M6(J23) Slip Road / A49 Lodge Lane / A580 East Lancashire Road

07/03/2017 07:30-10:00 & 15:30-18:00

3 5 Water St / A572 Crown Lane E / Victoria Road 07/03/2017 07:30-10:00 & 15:30-18:00

3 6 Queens Drive / Crown Lane E / Sanderling Road 07/03/2017 07:30-10:00 & 15:30-18:00

3 7 A49 High St / Park Road N 07/03/2017 07:30-10:00 & 15:30-18:00

3 8 A49 Mill Lane / Alfred St 07/03/2017 07:30-10:00 & 15:30-18:00

Average queues lengths for the 3 modelled peak hours (AM peak, Inter-peak and PM Peak) for

each arm approach of the junctions were used to develop the PLRTM. Average queues were

measured per arm and not per lane, so for multiple lane approaches, the average queue would

be an average across all lanes of the approach.

Appendix 1 presents a summary of the traffic count surveys in the form of origin-destination

matrices for all counts that were used to develop the PLRTM for the 3 modelled time periods (AM

peak, Inter-peak and PM Peak) and vehicle categories (Lights and OGVs).

All summarised traffic count data used to develop and build the PLRTM can be found in Appendix

1.

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Figure 3.2 presents the location of the 3 sets of traffic count surveys used in the development of

the PLRTM.

Figure 3.2: Traffic Count Survey Locations

3.2 ATC Data

In absence of count data on the strategic motorway links (M6 & M62), Journey Time and Traffic

Flow Data (MIDAS Data) was obtained from Highways England. This data is long term Automatic

Traffic Count (ATCs) data recorded across motorways in England.

MIDAS data was collected for the base year 2015 in both directions either side of the M6 J22 and

M62 J9.

In order to validate the model, screenline traffic counts were gathered for 8 locations within the

highway network. These counts consisted of the MIDAS data explained above and screenline

counts recorded as part of the turning count surveys.

Figure 4.2 in Chapter 4 below shows the location of all screenline counts used to validate the

model.

3.3 Journey Time Data

For each of the time periods we received comparative data from LCRTM on strategic links in the

local network.

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3.4 Signal Data

Table 3.3 presents a list of the 10 signal controlled junctions situated within the SATURN model

network.

Table 3.3: Signal Junction Locations

Signal Site

Traffic Count

Traffic Count Site

Location Local Authority

1 1 1 M62 J9 Warrington

2 1 2 A49 Newton Road / Winwick Park Avenue / Winwick Link Road

Warrington

3 1 4 A49 Newton Road / Delph Lane Warrington

4 1 7 A49 Newton Road / Hollins Lane Warrington

5 1 13 A49 Newton Road / Southworth Road St. Helens

6 1 16 A580 East Lancs / B5207 Church Lane Wigan

7 1 17 A580 East Lancs / A572 Newton Road Wigan

8 1 18 B5207 Church Lane / A572 Newton Road Wigan

9 1 19 A572 Newton Road / A579 Winwick Lane Wigan

10 2 1 A580 East Lancs / Stone Cross Lane Wigan

Traffic signal data was collected from St. Helens Metropolitan Borough Council, Warrington

Borough Council and Wigan Borough Council for all signal sites 1 to 10 in Table 3.2. These sites

correspond to traffic count sites within the model network described in Table 3.1.

Signal data was required in two formats for all signal sites, this data included:

1) Junction drawing showing staging and phasing diagrams for each signal cycle; and

2) Signal timing data for all 3 peak hour periods – which includes phase green, inter-green and

cycle times.

For signal sites 1-5 (St. Helens & Warrington), both sets of data were available and the supplied

information was interrogated and all phase green times, inter-green times and cycle times were

extracted to feed in to the junction coding for signalised junctions discussed in the section 4.2.

For sites 6-10 only junction drawings showing staging and phasing diagrams were available.

Signal timing data was collected manually on Tuesday 25th April for all 3 peak hour periods in the

absence of missing data.

3.5 LCRTM Data

LCRTM base year 2012 data and forecast years 2020 and 2030 data were used to derive robust

traffic forecasting growth factors. Their use and derivation are explained in Chapter 7.

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4. BASE MODEL BUILD

This chapter summarises the development of the SATURN network build process.

4.1 Modelled Areas

Road traffic assignment models require a computerised representation of the highway network

within a study area and the roads and junctions within this area are represented by a number of

selected links and nodes where; the ‘Nodes’ represent the points where roads intersect

(junctions) or there is a significant change in the road and the ‘Links’ represent the sections of

highways between nodes (or junctions).

This SATURN network comprises mainly of a ‘simulation’ network, in which the operation of

junctions are simulated, and a less detailed ‘buffer’ network, which essentially functions as a

more conventional link-based model. This PLRTM has been modelled as a ‘simulation’ network

across the entire study area with the buffer network accounting for the motorway links and

peripheral areas where traffic enters the simulation network.

For the purpose of preparing traffic forecasts for the model, the area of detailed modelling

comprises the core simulation area or fully modelled area. It covers an area bound by the M62

to the south, Winwick Link Road and Newton Road to the East, East Lancs Road to the north and

the A49 to the west. The M6 bisects the modelled area from north west to south east, forming a

major junction within the modelled area with its junction with Winwick Link Road and Winwick

Road. Within this core area there are a number of key links and the extents of the model can be

found along the following routes and boundaries;

A49 – a key local north / south route through Newton-le-Willows to the west of the study

area linking East Lancs Road and the M6 in the north west of the study area with the M62 in

the south;

Winwick Link Road > Newton Road – a key local eastern route linking the M62 in the

south to the M6 (J22) and East Lancs Road to the north east of the study area;

Southworth Road > Newton Road – a key local west / east route connecting Newton-le-

Willows in the west with East Lancs Road in the east;

Parkside Road > Warrington Road – local north / south A-road route through the middle

of the study area linking East Lancs Road in the north to M62 in the south via a major

roundabout junction with Winwick Link Road;

A580 East Lancs Road – a primary strategic A-road on the northern boundary of the study

area linking Manchester to the East with Liverpool

M62 – a major strategic motorway link forming the southern boundary of the study area;

M6 – a major strategic motorway link dissecting the study area from north west to south

east.

The modelled highway network for this transport model will represent the main strategic and

local road network links within the assigned study area and includes the aforementioned

motorways, major ‘A’ roads, other ‘A’ roads, ‘B’ roads and minor roads. This assigned highway

network will form the base network for this SATURN model and is presented in Figure 4.1.

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Figure 4.1: SATURN Network Plan

4.1.1 Building Network

The base SATURN network has been developed using site observation, OS Mapping, GIS analysis

and traffic signal information obtained from the local highway authorities and observations.

Within the study area, all significant junctions are fully simulated, and all links are coded to give

a representation of their length, speed, capacity and traffic flow classifications. This level of

detail reflects the significance of the key links and junctions in route choice decisions through the

study network.

Each junction was simulated and coded separately, to ensure that the number of lanes and

turning movements was correctly recorded for each junction approach and that the capacity and

saturation level of each junction were added according to lane widths etc.

Information of the junctions were obtained by using information from the local authorities,

Google maps, GIS, turning count survey info and visiting the sites.

The network is constructed from:

Nodes – Each junction is represented by a node in the simulation network and all relevant

highway nodes were recorded manually on the OS base map of the area within a GIS

environment, which was used to generate individual co-ordinates (latitude and longitude) for

each node. All nodes are identified by corresponding node numbers.

Links – Roads between intersections (nodes) are represented by links. All relevant links

were drawn between nodes, to reflect the real life network. Separate links were drawn to

reflect changes of speed limit of carriageway type, which were assigned to links based on site

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observation. GIS was used to calculate the link length. This was based on node-to-node

distance along the real life network, rather than along the simplified model links. The most

recent 5 years of accident data was spatially joined to the model from road safety data

published by the Department for Transport, to provide link-specific accident data.

Zones – Zones or centroids were located in the study area to represent specific sub-areas,

some of which contain residential and/or commercial development with additional zones

representing entry links on the periphery of the study area or entry links from the proposed

Parkside development. Each zone centroid is joined by one (or more) zone connecters that

link to the network which represents the loading point(s) for that zone. All zones within the

network (except the Parkside development zones) are defined by traffic count surveys

detailed section 3.1. Each count is representative of all traffic entering and exiting each zone

and forms the base traffic information for the base trip matrices for model.

Zone Connectors – Zone connectors are how zones are connected to the network. Zone

Connectors are connected to links and not nodes and represent where traffic exits / enters a

zone in the network.

‘Dummy’ Nodes – are nodes that are not simulated and allow unrestricted traffic flows

without delay (except for banned turns and U-turns). This allows links to be defined with

separate identities, generally used on long links to indicate intermediate points on curved

roads or to represent points where new intersections are to be added in modified networks.

Zone Nodes – are ‘Dummy’ nodes that have been incorporated into the network model as

points at which vehicles can join or leave the modelled network. Corresponding Zone

Connectors join the zone nodes to nodes in the main network.

The PLRTM network is defined by 17 entry zones of which 15 represent existing geographical

areas in the study area (zones 1 to 15) and 2 zones (zones 16 and 17) represent the proposed

Parkside development.

The 15 geographical zones are controlled by the recorded turning count surveys and represent

the total traffic for that zone for a typical day. The development zones (zones 16 and 17)

represent the loading points for Phase 1 and 2 of the Parkside Development (zone 16) and the

Rail Freight Interchange (zone 17) and will load directly on to the new Link Road.

Figure 4.2 presents the SATURN model network, modelled zones and how they load on to the

SATURN network via zone connectors. The figure also shows the location of the Screenline

Counts used to validate the model.

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Figure 4.2: Zone, Zone Connector & Screenline Count Locations

4.2 Network Coding

The coding of the model simulation network was based on providing a robust estimate of junction

capacity related to the physical layout of the intersection of a node for the following junction

types;

Traffic Signals

Roundabouts

Priority Junctions

For each junction the following information was required:

Saturation Flows

Lane Allocation

Turn Allocation

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Gap Acceptance

Speed Flow

4.2.1 Traffic Signals

Coding of traffic signals in SATURN requires definition of the node number and associated data

relating to the number of entry links, junction type, link speeds, link lengths, lane usage,

saturation flows, speed-flow curves and signal timing information.

The signal timing information includes all green, inter-green, staging and phasing details for a

specified signal cycle for each signal junction. Saturation flows were calculated by inputting a

saturation flow applicable to the geometry of the junction which is then adjusted within SATURN

in relation to the inputted signal data.

4.2.2 Roundabouts

The coding of roundabouts in SATURN is based on defining the entry and circulating saturation

flows and gap acceptance. These three parameters are determined by the geometry of the

junction and the coding included node data, entry data, number of lanes and a defined speed-

flow curve.

4.2.3 Priority Junctions

Priority junctions represent the give-way movement of a minor road onto a major road and the

movement from the major road to the minor. The calculation of saturation flows is key to the

junction coding along with the allocation of lanes, flare lanes, sightlines and SATURN priority

markers.

The coding of priority junctions is split into un-opposed and opposed movements in the junction.

The unopposed movements are largely dependent on the road widths of the main road, while

opposed movements relate more closely to the geometry of the junction and visibility lengths.

The definition of movements from major to minor arms of the junction and minor to major and

the geometric calculation of saturation flows for un-opposed and opposed turns are required to

calculate saturation flows which are added to node data to complete the junction coding.

4.2.4 Links

In the network we have a series of links each of which has its own classification based on road

type, defined length (measured by OS mapping and GIS) and a speed-flow relationship attributed

to its speed flow type. All links required saturation flows and capacities which were taken from

standard DfT speed-flow curves.

When defining a link both directions of the link need to be coded, even if it’s one-way. One-way

links were coded by specifying zero lanes to the non-existent direction. Some bi-directional links

such as the motorway (M6, M62) and dual carriageway (East Lancs Road, Winwick Link Road)

links were coded as separate single one-way links as these roads have central reservations and

for the purpose of the model are representative of separate links.

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5. TRIP MATRIX DEVELOPMENT

5.1 Introduction

This chapter describes the production of the 2015 base year demand matrices which represent the origins and destinations of the trips in the model.

5.2 Zone System

5.2.1 Fully modelled Area

The Fully Modelled Area for the Parkside Traffic Model is based on a SATURN simulation model.

Essentially this allows all the link and junction attributes of the local highway network to be

included in the model build. Therefore the interaction of traffic flows, speeds and delays

throughout the area can be utilised in the model to give a more realistic indication of how the

network reacts to changes in these parameters.

The geographical area covered by the model is shown on Figure 4.1. The zone system in the

model is based around defined geographical areas of traffic origin and destination. They are

attached to the computerised network by zone connectors that reflect physical road connections

to the highway network.

15 zonal areas have been identified for the model with two additional zones created to represent

the development areas of Parkside Regeneration site on both sides of the M6. The zone system

is shown on Figure 4.2. The zones are of different sizes and of differing origins and destinations

for traffic movements. These are related to observed traffic flow levels at the point where they

are attached to the network.

5.3 Approach to Matrix Development

All the zonal connectors represent links on which traffic counts have been observed. This gives a

control on the trip end flows when considering the study matrix for the model. Thus the total trip

origins and destinations for each zone can be determined. The count data described previously

consists of directly observed turning movements surveyed in 2015, supplemented with long term

ATC data on the M6 and M62, obtained from Highways England.

Trip end totals for each zone were obtained separately for light vehicles and heavy vehicles, such

that study matrices could be developed for each of the vehicle types. Matrices were developed to

represent light vehicles in the AM Peak, inter-peak and PM Peak hours for an average weekday in

2015. Similar heavy vehicle matrices were developed. The subsequent matrices also represent

all trip purposes.

Having defined the trip end values for origins and destinations, the full O-D trips had to be

determined. This was achieved by adopting the Furness procedure to match the rows and

columns in the matrices. This is a standard procedure in SATURN and is considered appropriate

for defining the study matrices due to the close control of the procedure enabled by the observed

count values.

As a sense check on the final Furnessed matrices, the matrices were assigned to the modelled

highway network to check that a reasonable match was obtained between counts and assigned

matrix flows. This demonstrated good correspondence between the values and it was

determined that the Furnessed matrices were fit for purpose.

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5.4 Matrix Assignment

In order to carry out the final assignment of the study matrices, the light and heavy vehicle

matrices were added together to provide an ‘All Vehicle’ matrix. For the purposes of assignment

in SATURN, the heavy vehicle matrices were factored by 2.4 to represent equivalent pcu values.

This conversion factor is the same as that adopted for the LCRTM.

The assignment of the matrices to the computer network was carried out using standard SATURN

equilibrium assignment techniques.

Tables 5.1 to 5.3 present the 2015 Base Trip Matrices for the 3 modelled time periods for light

vehicles, heavy vehicles and all vehicles (lights + heavies).

Figure 5.1: 2015 Trip Matrices (AM Peak)

Zone 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Total

1 0 310 1418 5 17 2 4 88 167 66 174 89 917 57 90 3405

2 162 0 585 2 6 1 1 29 55 22 57 29 151 19 30 1149

3 1516 479 0 8 26 3 6 136 258 102 269 137 2833 89 139 6000

4 11 14 82 0 1 0 0 4 8 3 8 4 42 3 4 185

5 14 9 52 0 0 0 0 3 5 2 5 3 27 2 3 123

6 3 2 10 0 0 0 0 1 1 0 1 1 5 0 1 25

7 1 1 4 0 0 0 0 0 0 0 0 0 2 0 0 10

8 91 58 329 1 3 0 1 0 31 12 32 16 170 11 17 772

9 224 141 404 3 8 1 2 40 0 30 79 40 418 26 41 1458

10 61 39 221 1 2 0 0 11 21 0 22 11 114 7 11 521

11 206 130 371 2 7 1 2 37 70 14 0 37 384 24 38 1322

12 31 20 112 0 1 0 0 6 11 4 11 0 58 4 6 264

13 702 444 2537 8 24 2 5 126 239 94 498 127 0 82 129 5018

14 51 32 185 1 2 0 0 9 17 7 18 9 96 0 47 475

15 64 41 232 1 2 0 0 12 22 9 23 12 120 38 0 575

Total 3138 1719 6542 32 100 10 22 501 903 366 1198 514 5339 362 555 21300

Zone 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Total

1 0 47 365 3 3 0 1 4 20 11 57 4 97 10 3 625

2 17 0 186 1 1 0 1 2 9 5 26 2 45 5 1 301

3 367 48 0 3 3 0 1 4 20 11 58 4 998 11 3 1531

4 1 1 8 0 0 0 0 0 0 0 1 0 1 0 0 12

5 1 2 20 0 0 0 0 0 1 0 2 0 3 0 0 29

6 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 2

7 1 1 8 0 0 0 0 0 0 0 1 0 1 0 0 12

8 2 3 24 0 0 0 0 0 1 1 4 0 6 1 0 42

9 11 14 118 1 1 0 0 1 0 3 17 1 29 3 1 200

10 3 4 26 0 0 0 0 0 2 0 5 0 31 1 0 72

11 19 25 211 2 2 0 1 2 11 6 0 2 51 6 2 340

12 2 3 22 0 0 0 0 0 1 1 3 0 6 1 0 39

13 78 115 986 8 8 1 3 10 48 3 137 11 0 25 7 1440

14 4 5 63 0 0 0 0 0 2 1 6 0 11 0 2 94

15 2 3 36 0 0 0 0 0 1 1 4 0 6 3 0 56

Total 508 271 2075 18 18 1 7 23 116 43 321 24 1285 66 19 4795

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Total

1 0 357 1783 8 20 2 5 92 187 77 231 93 1014 67 93 4030

2 179 0 771 3 7 1 2 31 64 27 83 31 196 24 31 1450

3 1883 527 0 11 29 3 7 140 278 113 327 141 3831 100 142 7531

4 12 15 90 0 1 0 0 4 8 3 9 4 43 3 4 197

5 15 11 72 0 0 0 0 3 6 2 7 3 30 2 3 152

6 3 2 12 0 0 0 0 1 1 0 1 1 5 0 1 27

7 2 2 12 0 0 0 0 0 0 0 1 0 3 0 0 22

8 93 61 353 1 3 0 1 0 32 13 36 16 176 12 17 814

9 235 155 522 4 9 1 2 41 0 33 96 41 447 29 42 1658

10 64 43 247 1 2 0 0 11 23 0 27 11 145 8 11 593

11 225 155 582 4 9 1 3 39 81 20 0 39 435 30 40 1662

12 33 23 134 0 1 0 0 6 12 5 14 0 64 5 6 303

13 780 559 3523 16 32 3 8 136 287 97 635 138 0 107 136 6458

14 55 37 248 1 2 0 0 9 19 8 24 9 107 0 49 569

15 66 44 268 1 2 0 0 12 23 10 27 12 126 41 0 631

Total 3646 1990 8617 50 118 11 29 524 1019 409 1519 538 6624 428 574 26095

2015 Light Vehicles (pcu) (AM Peak)

2015 Heavy Vehicles (pcu) (AM Peak)

2015 All Vehicles (pcu) (AM Peak)

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Figure 5.2: 2015 Trip Matrices (Inter-peak)

Zone 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Total

1 0 293 1575 9 18 4 1 80 194 105 167 32 765 59 50 3351

2 189 0 680 3 7 1 1 30 73 40 63 12 144 22 19 1285

3 1889 276 0 17 34 7 3 115 365 120 315 60 2883 111 94 6288

4 4 4 32 0 0 0 0 1 3 2 2 0 11 1 1 61

5 14 8 65 0 0 0 0 2 6 3 5 1 22 2 1 130

6 3 2 13 0 0 0 0 0 1 1 1 0 4 0 0 26

7 1 1 5 0 0 0 0 0 0 0 0 0 2 0 0 10

8 63 36 181 1 2 0 0 0 24 13 21 4 95 7 6 455

9 156 91 351 3 6 1 0 25 0 33 52 10 239 18 16 1001

10 48 28 115 1 2 0 0 8 18 0 16 3 73 6 5 322

11 167 97 374 3 6 1 0 27 64 17 0 11 254 20 17 1059

12 38 22 169 1 1 0 0 6 15 8 13 0 57 4 4 337

13 591 345 2390 11 21 4 2 95 229 124 394 38 0 69 59 4372

14 41 24 186 1 1 0 0 7 16 9 14 3 63 0 21 385

15 32 19 144 1 1 0 0 5 12 7 11 2 49 19 0 302

Total 3236 1246 6279 51 100 20 8 402 1020 481 1074 176 4663 338 293 19385

Zone 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Total

1 0 67 509 1 4 1 1 4 55 21 81 5 115 15 7 885

2 23 0 190 0 1 0 0 1 19 7 28 2 40 5 3 320

3 630 62 0 1 3 0 1 3 51 19 75 5 1073 14 7 1944

4 0 0 4 0 0 0 0 0 0 0 0 0 1 0 0 7

5 1 1 13 0 0 0 0 0 1 0 1 0 2 0 0 20

6 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 3

7 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 3

8 2 2 25 0 0 0 0 0 2 1 3 0 4 0 0 39

9 16 16 132 0 1 0 0 1 0 5 19 1 28 4 2 226

10 3 3 26 0 0 0 0 0 3 0 4 0 17 1 0 59

11 28 28 226 0 1 0 0 1 23 9 0 2 47 6 3 375

12 2 2 25 0 0 0 0 0 2 1 3 0 4 0 0 39

13 82 90 710 1 5 1 1 5 73 3 108 7 0 20 10 1116

14 5 5 54 0 0 0 0 0 4 1 6 0 8 0 3 85

15 2 2 21 0 0 0 0 0 1 1 2 0 3 2 0 35

Total 795 278 1940 5 16 2 5 16 234 67 329 23 1340 70 35 5156

Zone 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Total

1 0 360 2084 10 22 4 2 84 249 126 248 37 880 74 57 4236

2 213 0 869 4 8 2 1 32 92 47 91 14 184 27 21 1604

3 2518 338 0 18 37 7 4 118 416 139 390 65 3956 125 101 8233

4 4 5 36 0 0 0 0 1 3 2 3 0 12 1 1 68

5 16 10 77 0 0 0 0 2 6 3 6 1 24 2 2 150

6 3 2 15 0 0 0 0 0 1 1 1 0 5 0 0 29

7 1 1 7 0 0 0 0 0 1 0 1 0 2 0 0 14

8 65 39 206 1 2 0 0 0 26 14 23 4 99 8 6 495

9 173 107 483 3 6 1 1 26 0 38 72 11 266 22 17 1227

10 51 31 141 1 2 0 0 8 21 0 20 3 90 6 5 381

11 195 125 600 3 7 1 1 28 87 26 0 13 302 26 20 1434

12 40 24 194 1 1 0 0 6 16 9 15 0 61 5 4 376

13 673 435 3100 12 26 5 3 100 302 127 502 45 0 90 69 5488

14 46 29 240 1 2 0 0 7 20 10 19 3 71 0 23 471

15 34 21 165 1 1 0 0 5 14 7 13 2 52 21 0 337

Total 4031 1524 8219 56 116 22 13 418 1254 548 1403 199 6003 407 328 24541

2015 Light Vehicles (pcu) (Inter-peak)

2015 Heavy Vehicles (pcu) (Inter-peak)

2015 All Vehicles (pcu) (Inter-peak)

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Figure 5.3: 2015 Trip Matrices (PM Peak)

Zone 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Total

1 0 315 2213 24 18 4 2 138 285 184 242 33 1052 91 43 4645

2 285 0 838 9 7 1 1 52 108 70 92 13 199 34 16 1725

3 3180 333 0 51 38 8 5 129 603 39 511 70 4445 192 91 9694

4 4 3 29 0 0 0 0 1 3 2 3 0 11 1 0 59

5 16 7 59 1 0 0 0 3 6 4 5 1 22 2 1 127

6 2 1 6 0 0 0 0 0 1 0 1 0 2 0 0 13

7 4 2 17 0 0 0 0 1 2 1 1 0 6 1 0 36

8 89 37 228 3 2 0 0 0 34 22 29 4 87 11 5 552

9 237 99 436 8 6 1 1 44 0 58 76 10 331 29 14 1349

10 64 27 236 2 2 0 0 12 24 0 21 3 90 8 4 492

11 295 124 543 9 7 1 1 54 112 36 0 13 413 36 17 1662

12 71 30 160 2 2 0 0 13 27 17 23 0 99 9 4 456

13 726 304 2501 23 17 3 2 133 275 178 467 32 0 88 42 4791

14 60 25 220 2 1 0 0 11 23 15 19 3 84 0 17 479

15 6 2 21 0 0 0 0 1 2 1 2 0 8 3 0 48

Total 5039 1308 7507 134 100 20 13 593 1505 627 1491 182 6851 503 255 26127

Zone 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Total

1 0 19 140 0 1 0 0 1 13 4 8 1 29 4 2 221

2 5 0 51 0 0 0 0 0 4 1 2 0 9 1 1 76

3 169 18 0 0 1 0 0 1 12 4 41 1 299 4 2 552

4 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 2

5 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 5

6 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 2

7 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 3

8 0 0 5 0 0 0 0 0 0 0 0 0 1 0 0 8

9 3 4 29 0 0 0 0 0 0 1 2 0 6 1 0 47

10 1 1 13 0 0 0 0 0 1 0 0 0 2 0 0 18

11 5 6 40 0 0 0 0 0 4 1 0 0 9 1 1 68

12 0 0 4 0 0 0 0 0 0 0 0 0 1 0 0 6

13 21 27 221 0 1 0 0 1 18 6 11 1 0 6 3 318

14 1 1 8 0 0 0 0 0 0 0 0 0 1 0 0 12

15 0 0 5 0 0 0 0 0 0 0 0 0 1 0 0 7

Total 207 77 524 1 4 1 1 4 53 17 66 3 357 19 9 1343

Zone 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Total

1 0 334 2353 24 19 4 3 139 298 188 250 34 1081 95 45 4866

2 290 0 889 9 7 1 1 53 112 71 94 13 208 36 17 1801

3 3349 351 0 51 39 8 5 130 615 43 552 71 4744 196 93 10247

4 4 3 30 0 0 0 0 1 3 2 3 0 11 1 0 61

5 16 7 62 1 0 0 0 3 6 4 5 1 23 2 1 131

6 2 1 7 0 0 0 0 0 1 0 1 0 2 0 0 14

7 5 2 19 0 0 0 0 1 2 1 2 0 7 1 0 39

8 90 38 233 3 2 0 0 0 34 22 29 4 88 11 5 559

9 241 103 465 8 6 1 1 44 0 59 78 11 338 30 14 1396

10 65 28 249 2 2 0 0 12 25 0 21 3 91 8 4 510

11 300 129 583 10 7 1 1 54 116 37 0 13 422 37 18 1729

12 71 30 164 2 2 0 0 13 27 17 23 0 99 9 4 462

13 747 331 2722 24 19 4 3 134 293 183 478 33 0 94 44 5108

14 60 26 228 2 1 0 0 11 23 15 19 3 85 0 17 491

15 6 3 26 0 0 0 0 1 2 1 2 0 9 4 0 55

Total 5246 1386 8031 135 103 21 14 597 1558 645 1556 185 7208 522 264 27470

2015 Light Vehicles (pcu) (PM Peak)

2015 Heavy Vehicles (pcu) (PM Peak)

2015 All Vehicles (pcu) (PM Peak)

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6. MODEL VALIDATION

6.1 Base Model Validation

A screenline of counts was defined across the main north-south routes in the central part of the

model to test the calibration of the modelled flows. These included counts in both directions on

the A49 south of Newton-le-Willows station, M6 between junctions 22 and 23, Parkside Road

north of M6 and A579 Winwick Lane. The screenlines counts (sites 1-8) can be seen in Figure 4.2

in Chapter 4.

Modelled link count validation was tested against standard WebTAG criteria using DMRB and GEH

statistical comparison. The results of this analysis are shown for the three time periods in the

tables below.

6.2 AM Peak validation

Table 6.1: AM Peak Validation

Screenline

Count Location A Node B Node Count Modelled Capacity Diff % Diff GEH

1 A49 N 594 554 280 217 10000 -62 -22.38 3.97

2 Parkside Road

569 651 196 191 10000 -4 -2.78 0.39

3 Winwick Lane

577 576 425 375 10000 -49 -11.76 2.5

4 M6 N 585 586 5096 5739 10000 643 12.61 8.73

5 A49 S 554 594 520 612 10000 92 17.65 3.86

6 Parkside Road

651 569 307 371 10000 64 20.69 3.45

7 Winwick Lane

576 577 940 825 10000 -114 12.23 3.87

8 M6 S 590 589 5537 5859 10000 322 5.81 4.26

6.3 AM Peak DMRB & GEH Statistics

MODELLED v COUNTS SATISFYING THE DMRB RULES: (IN ALL 4 TESTS THE OK % SHOULD BE >

85%)

FLOW <700: MODELLED WITHIN +-100 OF OBSERVED = 100.00% - 5 OUT OF 5

700 < FLOW < 2700: MODELLED WITHIN 15% OF OBSERVED = 100.00% - 1 OUT OF 1

FLOW > 2700: MODELLED WITHIN 400 OF OBSERVED = 50.00% - 1 OUT OF 2

COMPLIANCE SUMMED OVER ALL FLOW RANGES = 87.50% - 7 OUT OF 8

ALL LINKS - GEH STATISTIC < 5.0 = 87.50% - 7 OUT OF 8

6.4 AM Peak Summary

The above analysis shows that the AM Peak model calibrates against both the DMRB and GEH

criteria. The counts validate well in the southbound direction but with one count outside the

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TRAFFIC MODELLING REPORT 20

validation criteria (M6) in the northbound direction. Therefore there is a good degree of fit

between the modelled flows and the observed traffic flows.

6.5 Inter-peak validation

Table 6.2: Inter-peak Validation

Screenline

Count Location A Node B Node Count Modelled Capacity Diff % Diff GEH

1 A49 N 594 554 365 221 10000 -143 -39.3 8.39

2 Parkside Road

569 651 200 160 10000 -39 -20.2 3.02

3 Winwick Lane

577 576 580 638 10000 58 9.9 2.34

4 M6 N 585 586 5018 5264 10000 246 4.9 3.43

5 A49 S 554 594 301 199 10000 -101 -33.8 6.45

6 Parkside Road

651 569 160 185 10000 25 15.7 1.91

7 Winwick Lane

576 577 587 679 10000 92 15.6 3.65

8 M6 S 590 589 5215 5585 10000 370 7.1 5.04

6.6 Inter-peak DMRB & GEH Statistics

MODELLED v COUNTS SATISFYING THE DMRB RULES: (IN ALL 4 TESTS THE OK % SHOULD BE >

85%)

FLOW < 700: MODELLED WITHIN +-100 OF OBSERVED = 66.67% - 4 OUT OF 6

700 < FLOW < 2700: MODELLED WITHIN 15% OF OBSERVED = no such links included

FLOW > 2700: MODELLED WITHIN 400 OF OBSERVED = 100.00% - 2 OUT OF 2

COMPLIANCE SUMMED OVER ALL FLOW RANGES = 75.00% - 6 OUT OF 8

ALL LINKS - GEH STATISTIC < 5.0 = 62.50% - 5 OUT OF 8

6.7 Inter-peak Peak Summary

The count validation for the Inter-peak period shows that 6 out of the 8 counts validate against

either the DMRB or GEH criteria. Whilst this is a good fit of the data, it is slightly outside the

recommended criteria. In this time period the northbound modelled count on A49 is lower than

the observed count and the southbound flow on Parkside Road is lower than the count at this

location. Nevertheless the model shows a good representation of the observed count

information.

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6.8 PM Peak validation

Table 6.3: PM Peak Validation

Screenline

Count Location

A Node

B Node

Count Modelled Capacity Diff % Diff GEH

1 A49 N

594 554 558 237 10000 -320 -57.4 16.08

2 Parkside Road

569 651 270 176 10000 -93 -34.8 6.3

3 Winwick Lane

577 576 650 726 10000 76 11.6 2.9

4 M6 N 585 586 5739 5367 10000 -371 -6.4 4.99

5 A49 S 554 594 270 342 10000 72 -26.7 4.12

6 Parkside Road

651 569 181 227 10000 46 25.5 3.23

7 Winwick Lane

576 577 783 840 10000 57 7.3 2.01

8 M6 S 590 589 5218 5628 10000 410 7.8 5.56

6.9 PM Peak DMRB & GEH Statistics

MODELLED v COUNTS SATISFYING THE DMRB RULES: (IN ALL 4 TESTS THE OK % SHOULD BE >

85%)

FLOW < 700: MODELLED WITHIN +-100 OF OBSERVED = 80.00% - 4 OUT OF 5

700 < FLOW < 2700: MODELLED WITHIN 15% OF OBSERVED = 100.00% - 1 OUT OF 1

FLOW > 2700: MODELLED WITHIN 400 OF OBSERVED = 50.00% - 1 OUT OF 2

COMPLIANCE SUMMED OVER ALL FLOW RANGES = 75.00% - 6 OUT OF 8

ALL LINKS - GEH STATISTIC < 5.0 = 62.50% - 5 OUT OF 8

6.10 PM Peak Summary

The PM Peak modelled counts also show that 6 out of 8 counts meet the validation criteria for the

DMRB assessment or the GEH statistic. Again the northbound A49 modelled flow is lower than

the observed count but the southbound M6 modelled count is lower than the observed count.

The model is showing count validation slightly outside the recommended statistical test criteria

but is nonetheless a good fit between the observed and modelled data.

The base models are therefore a good platform for use in testing forecast scenarios and ‘Do

Something’ schemes for the Parkside Link Road.

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Figure 6.4 presents the 2015 ‘Do Nothing’ Modelled Flows for the PLRTM.

Figure 6.4: 2015 ‘Do Nothing’ Modelled Flows

A580 A580 East Lancs Rd A580 East Lancs Rd

East Lancs Rd A580

East Lancs Rd

A49

Warrington Rd

Southworth Rd

New Link Rd

A49

M6

2 Way Hourly Flows

2015 Do Nothing

AM 750

IP 750

PM 750

M62 M62

Newton Rd

Newton Rd

A49

Newton Rd

Winwick Link Rd

A49

11600

1085011000

610

390630

690

390520

830

420580

790

420580

0

00

580

350400

600

370410

580

350400

0

00

610

350330

595

390700

2660

32802920

10570

1024011520

1200

13201570

1200

13201570

1300

13101900

Par

ksid

e R

d

Pa

rksi

de

Rd

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7. TRAFFIC FORECASTING

7.1 Introduction

To test the new link road, the scheme will be assessed at its year of opening and a future design

year 10 years after opening, which is the minimum design horizon for strategic road schemes of

this nature.

The opening year of the scheme will be 2020 whereby only Phase 1 of the development will be

operational and the design year of the scheme will be 2030 whereby Phase 2 and Phase 3 (Rail

Freight Interchange) of the Parkside Development will be complete and operational.

Table 7.1: Assessments Years

Base Year 2015

Opening Year 2020

Design Year 2030

7.2 Traffic Forecast Rates

In order to calculate opening and design year flows, base year (2015) traffic flows have been

extracted from the base year traffic matrices generated in section 5 and have been factored to

opening year 2020 and design year 2030 levels using TEMPro growth forecasts for the North

West (Region) and districts St. Helens and Warrington using TEMPRO version 7.2

Growth forecasts in TEMPro are based on growth associated with light vehicles only; therefore

growth factors for heavy vehicles (HGVs) have been derived using TEMPro and adjusted to heavy

growth rates using the modelled output from the LCRTM.

Traffic forecasting growth rates were compatible with the LCRTM. Matrix data was obtained from

Liverpool City Region for the LCRTM Base Year of 2012 and forecast years of 2020 and 2030.

These rates were derived for the same 3 time periods as those used in the PLRTM and

corresponded to:

AM Peak – 0800-0900;

Average Inter-peak – 1000-1600; and

PM Peak – 1700-1800.

The LCRTM matrices were further disaggregated by trip purpose representing:

Cars – Employers’ Business

Cars – Commuting

Cars – Other

Light Goods Vehicles (LGVs)

Heavy Goods Vehicles (HGVs)

These LCRTM purpose matrices were combined into Heavy Vehicle matrices (representing OGV’s)

and Light Vehicle matrices representing all other purposes. Thus, the forecast matrices used in

this PLRTM represented Heavy Vehicles (all purposes) and Light Vehicles (all purposes).

The Base Model for this PLRTM was based in 2015 and TEMPro 7.2 growth rates were used to

derive forecast growth rates from 2015 to 2020 for the Light Vehicle matrices.

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TRAFFIC MODELLING REPORT 24

Heavy vehicle growth rates from 2015 to 2020 were derived by calculating a correspondence

between the 2012 to 2020 Light and Heavy vehicle matrices from the LCRTM and applying this to

the TEMPro 7.2 Light Vehicle growth rates.

Table 7.2 shows the growth rates derived for the model for light vehicles from 2015 to 2020 and

from 2020 to 2030.

Table 7.2: Light Vehicle Growth Rates

Light Vehicle

Growth Rates

AM Peak Inter-peak PM Peak

2015-2020 1.059 1.083 1.041

2020-2030 1.083 1.103 1.110

Table 7.3 shows the growth rates derived for the model for heavy vehicles from 2015 to 2020

and from 2020 to 2030.

Table 7.3: Heavy Vehicle Growth Rates

Heavy Vehicle

Growth Rates

AM Peak Inter-peak PM Peak

2015-2020 1.066 1.067 1.065

2020-2030 1.072 1.072 1.073

The derived traffic growth rates are consistent with both the LCRTM and TEMPro 7 and as such

the traffic growth for the period from 2020 to 2030 is taken directly from the LCRTM for both the

Light and Heavy vehicle matrices used in the model. Therefore the forecast traffic growth is

constrained to TEMPro 7 growth within the model and is consistent with the WebTAG guidance.

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TRAFFIC MODELLING REPORT 25

8. TRIP GENERATION

This chapter provides an estimate of the number of trips the proposed Parkside Development is

expected to generate or attract considering ‘full occupation/operation’ of Phase 1, Phase 2 and

Phase 3.

8.1 Proposed Trip Generation

The development scenarios considered in the PLRTM include 2 phases of development of the

Parkside Colliery site to the west of the M6 motorway and a third phase representing the

development of the Rail Freight Interchange centre to the east of M6.

The sizes of the respective phases are shown below and for the purposes of development of the

PLRTM, the development type is considered to be commercial warehousing (B8).

Table 8.1 presents the schedule of accommodation for proposed Parkside Development for Phase

1, Phase 2 and the proposed RFI (Phase 3).

Table 8.1: Parkside Development (Phase 1 & 2) & RFI – Schedule of Accommodation

PHASE WAREHOUSE SIZE (sq.m) SIZE (sq.ft) USE

1 A 41,806 449,996 B8

1 B 21,833 235,008 B8

1 C 13,471 145,000 B8

1 D 15,793 169,994 B8

Total Phase 1 92,903 999,999 2 E 14,214 152,998 B8

2 F 16,258 174,999 B8

2 G 51,096 549,992 B8

2 H 19,509 209,993 B8

2 J 9,290 99,997 B8

2 K 23,225 249,992 B8

Total Phase 2 133,592 1,437,971 TOTAL PHASE 1 & 2 226,495 2,437,970 RFI 8 32,516 350,000 B8

RFI 9 46,452 500,000 B8

RFI 10 27,871 300,000 B8

RFI 11 18,581 200,000 B8

RFI 12 18,581 200,000 B8

RFI 13 13,935 150,000 B8

RFI 14 27,871 300,000 B8

RFI 15 46,452 500,000 B8

RFI 16 27,871 300,000 B8

TOTAL RFI (PHASE 3) 260,128 2,800,000

8.2 Development Trip Rates

Trip rates associated with this development type have been derived from the TRICS database.

Sites of a similar size and nature in the database have been used to calculate an equivalent set of

average trip rates for a selection of representative sites within TRICS for the Parkside

developments.

The derived trip rates for ‘All Vehicles’ and OGVs across the 3 time periods and the daily total trip

rates are shown in the Table 8.2.

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Table 8.2: Parkside Development Trip Rates (B8 Warehousing)

TRIP RATES 08:00-09:00 09:00-17:00 17:00-18:00 05:00-22:00

AM IP (average) PM Daily

ALL Arrivals 0.214 0.073 0.075 1.199

VEHICLES Departures 0.048 0.072 0.205 1.174

OGV Arrivals 0.024 0.027 0.026 0.403

Departures 0.029 0.023 0.032 0.445

Details of the TRICS database output can be found in Appendix 2.

8.3 Development Trips

Applying the trip rates derived in Table 8.2 to the overall floor space sizes shown Tables 8.1

generates the total trips for all vehicles (lights + heavies) presented in Table 8.3 below.

Table 8.3: Parkside Development (Phase 1 & 2) & RFI – Trips (Total All Vehicles)

TRIPS

TOTAL ALL VEHICLES

08:00-

09:00

09:00-

17:00

17:00-

18:00

05:00-

22:00

AM

IP

(average) PM Daily

1 A 110 60 117 992

1 B 57 31 61 518

1 C 35 19 38 320

1 D 41 23 44 375

Total Phase 1 243 134 260 2205

2 E 37 20 40 337

2 F 43 23 46 386

2 G 134 74 143 1213

2 H 51 28 55 463

2 J 24 13 26 220

2 K 61 33 65 551

Total Phase 2 350 193 374 3170

TOTAL PHASE 1 & 2 593 326 634 5375

RFI 8 85 47 91 772

RFI 9 122 67 130 1102

RFI 10 73 40 78 661

RFI 11 49 27 52 441

RFI 12 49 27 52 441

RFI 13 37 20 39 331

RFI 14 73 40 78 661

RFI 15 122 67 130 1102

RFI 16 73 40 78 661

TOTAL RFI (PHASE 3) 682 375 728 6173

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TRAFFIC MODELLING REPORT 27

Table 8.4 presents the estimated trips apportioned to OGVs for the Parkside Development Phase

1, 2 and 3 (RFI).

Table 8.4: Parkside Development (Phase 1 & 2) & RFI – Trips (OGVs)

TRIPS

OGVs

08:00-

09:00

09:00-

17:00

17:00-

18:00

05:00-

22:00

AM

IP

(average) PM Daily

1 A 22 21 24 355

1 B 12 11 13 185

1 C 7 7 8 114

1 D 8 8 9 134

Total Phase 1 49 46 54 788

2 E 8 7 8 121

2 F 9 8 9 138

2 G 27 25 30 433

2 H 10 10 11 165

2 J 5 5 5 79

2 K 12 12 13 197

Total Phase 2 71 67 77 1133

TOTAL PHASE 1 & 2 593 120 113 131

RFI 8 17 16 19 276

RFI 9 25 23 27 394

RFI 10 15 14 16 236

RFI 11 10 9 11 158

RFI 12 10 9 11 158

RFI 13 7 7 8 118

RFI 14 15 14 16 236

RFI 15 25 23 27 394

RFI 16 15 14 16 236

TOTAL RFI 138 130 151 2206

In this PLRTM, zone 16 represents both Phase 1 and Phase 2 of the Parkside development and

zone 17 represents Phase 3 (RFI site).

For the development scenarios considered it has been assumed that Phase 1 is operational in

2020 and these trips have been allocated to the 2020 trip matrices.

In 2030, both Phase 2 and the RFI site are assumed to be operational and these trips have been

included in the 2030 matrices.

The distribution of trips for all the development phases has been assumed to align with the

existing trip end proportions for the base model and have been assigned accordingly.

No trips are assumed to travel between the development phases for the forecast models.

8.4 Final Forecast Trip Matrices

The forecast matrices have been constrained to TEMPRO growth rates as explained previously,

therefore when including the development traffic in the matrices, the growth rates for the non-

development related trips has been reduced. This ensures that the overall growth included in the

2020 and 2030 matrices remains as the total TEMPro growth.

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TRAFFIC MODELLING REPORT 28

In the final growthed matrices a lower growth rate has been applied to non-development zones

(zones 1-15) and derived trips from TRICS have been added to zones 16 and 17.

The resultant final forecast trip matrices for the 3 modelled time periods used in the PLRTM are

shown below in Tables 8.5 to 8.10.

Figure 8.5: 2020 Trip Matrices (AM Peak)

Zone 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 Total

1 0 326 1489 6 18 2 4 92 175 69 183 93 963 60 95 31 0 3606

2 170 0 614 2 6 1 1 30 58 23 60 31 159 20 31 10 0 1216

3 1592 503 0 9 28 3 6 143 270 107 282 144 2975 93 146 55 0 6356

4 12 15 86 0 1 0 0 4 8 3 8 4 44 3 4 2 0 194

5 15 9 54 0 0 0 0 3 5 2 5 3 28 2 3 1 0 130

6 3 2 11 0 0 0 0 1 1 0 1 1 6 0 1 0 0 27

7 1 1 4 0 0 0 0 0 0 0 0 0 2 0 0 0 0 8

8 96 60 345 1 3 0 1 0 32 13 34 17 179 11 18 7 0 817

9 235 149 424 3 8 1 2 42 0 32 83 42 439 28 43 13 0 1544

10 64 41 232 1 2 0 0 12 22 0 23 12 120 8 12 5 0 554

11 216 136 390 2 8 1 2 39 73 15 0 39 403 25 40 12 0 1401

12 33 21 118 0 1 0 0 6 11 4 12 0 61 4 6 2 0 279

13 737 466 2663 8 26 3 6 132 251 99 523 133 0 86 136 46 0 5315

14 54 34 194 1 2 0 0 10 18 7 19 10 100 0 49 4 0 502

15 67 43 244 1 2 0 1 12 23 9 24 12 126 40 0 5 0 609

16 29 16 60 0 1 0 0 5 8 3 11 5 49 3 5 0 0 195

17 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Total 3324 1822 6928 34 106 11 23 531 955 386 1268 546 5654 383 589 193 0 22753

Zone 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 Total

1 0 47 365 3 3 0 1 4 20 11 57 4 97 10 3 15 0 640

2 17 0 186 1 1 0 1 2 9 5 26 2 45 5 1 7 0 308

3 367 48 0 3 3 0 1 4 20 11 58 4 998 11 3 38 0 1569

4 1 1 8 0 0 0 0 0 0 0 1 0 1 0 0 0 0 12

5 1 2 20 0 0 0 0 0 1 0 2 0 3 0 0 1 0 30

6 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2

7 1 1 8 0 0 0 0 0 0 0 1 0 1 0 0 0 0 12

8 2 3 24 0 0 0 0 0 1 1 4 0 6 1 0 1 0 43

9 11 14 118 1 1 0 0 1 0 3 17 1 29 3 1 5 0 205

10 3 4 26 0 0 0 0 0 2 0 5 0 31 1 0 2 0 74

11 19 25 211 2 2 0 1 2 11 6 0 2 51 6 2 8 0 348

12 2 3 22 0 0 0 0 0 1 1 3 0 6 1 0 1 0 40

13 78 115 986 8 8 1 3 10 48 3 137 11 0 25 7 35 0 1475

14 4 5 63 0 0 0 0 0 2 1 6 0 11 0 2 2 0 96

15 2 3 36 0 0 0 0 0 1 1 4 0 6 3 0 1 0 57

16 12 7 51 0 0 0 0 1 3 1 8 1 32 2 0 0 0 118

17 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Total 520 278 2126 18 18 1 7 24 119 44 329 25 1317 68 19 116 0 5029

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 Total

1 0 373 1854 9 21 2 5 96 195 80 240 97 1060 70 98 46 0 4246

2 187 0 800 3 7 1 2 32 67 28 86 33 204 25 32 17 0 1524

3 1959 551 0 12 31 3 7 147 290 118 340 148 3973 104 149 93 0 7925

4 13 16 94 0 1 0 0 4 8 3 9 4 45 3 4 2 0 206

5 16 11 74 0 0 0 0 3 6 2 7 3 31 2 3 2 0 160

6 3 2 13 0 0 0 0 1 1 0 1 1 6 0 1 0 0 29

7 2 2 12 0 0 0 0 0 0 0 1 0 3 0 0 0 0 20

8 98 63 369 1 3 0 1 0 33 14 38 17 185 12 18 8 0 860

9 246 163 542 4 9 1 2 43 0 35 100 43 468 31 44 18 0 1749

10 67 45 258 1 2 0 0 12 24 0 28 12 151 9 12 7 0 628

11 235 161 601 4 10 1 3 41 84 21 0 41 454 31 42 20 0 1749

12 35 24 140 0 1 0 0 6 12 5 15 0 67 5 6 3 0 319

13 815 581 3649 16 34 4 9 142 299 102 660 144 0 111 143 81 0 6790

14 58 39 257 1 2 0 0 10 20 8 25 10 111 0 51 6 0 598

15 69 46 280 1 2 0 1 12 24 10 28 12 132 43 0 6 0 666

16 41 23 111 0 1 0 0 6 11 4 19 6 81 5 5 0 0 313

17 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Total 3844 2100 9054 52 124 12 30 555 1074 430 1597 571 6971 451 608 309 0 27782

2020 Light Vehicles (AM Peak)

2020 Heavy Vehicles (pcu) (AM Peak)

2020 All Vehicles (pcu) (AM Peak)

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TRAFFIC MODELLING REPORT 29

Figure 8.6: 2020 Trip Matrices (Inter-peak)

Zone 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 Total

1 0 315 1698 10 19 4 2 87 209 113 180 34 825 63 54 15 0 3628

2 204 0 733 4 7 1 1 33 79 43 68 13 156 24 20 6 0 1391

3 2036 297 0 19 37 7 3 124 393 129 340 65 3108 119 102 29 0 6807

4 4 5 35 0 0 0 0 1 3 2 3 0 12 1 1 0 0 66

5 16 9 70 0 0 0 0 2 6 3 5 1 24 2 2 1 0 141

6 3 2 14 0 0 0 0 0 1 1 1 0 5 0 0 0 0 28

7 1 1 6 0 0 0 0 0 0 0 0 0 2 0 0 0 0 11

8 67 39 195 1 2 0 0 0 26 14 22 4 103 8 7 2 0 493

9 169 98 378 3 6 1 0 27 0 35 56 11 257 20 17 5 0 1084

10 52 30 124 1 2 0 0 8 20 0 17 3 79 6 5 1 0 349

11 180 105 403 3 6 1 1 29 69 19 0 11 274 21 18 5 0 1146

12 40 24 182 1 1 0 0 6 16 8 13 0 62 5 4 2 0 365

13 637 372 2576 12 23 5 2 102 246 134 425 41 0 75 64 20 0 4733

14 45 26 200 1 2 0 0 7 17 9 15 3 68 0 22 2 0 417

15 35 20 155 1 1 0 0 6 13 7 12 2 53 20 0 1 0 327

16 15 6 29 0 0 0 0 2 5 2 5 1 21 2 1 0 0 88

17 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Total 3503 1349 6797 55 108 22 9 435 1104 521 1163 190 5047 366 317 88 0 21073

Zone 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 Total

1 0 67 509 1 4 1 1 4 55 21 81 5 115 15 7 19 0 904

2 23 0 190 0 1 0 0 1 19 7 28 2 40 5 3 7 0 326

3 630 62 0 1 3 0 1 3 51 19 75 5 1073 14 7 41 0 1986

4 0 0 4 0 0 0 0 0 0 0 0 0 1 0 0 0 0 7

5 1 1 13 0 0 0 0 0 1 0 1 0 2 0 0 0 0 20

6 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3

7 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3

8 2 2 25 0 0 0 0 0 2 1 3 0 4 0 0 1 0 40

9 16 16 132 0 1 0 0 1 0 5 19 1 28 4 2 5 0 231

10 3 3 26 0 0 0 0 0 3 0 4 0 17 1 0 1 0 60

11 28 28 226 0 1 0 0 1 23 9 0 2 47 6 3 8 0 383

12 2 2 25 0 0 0 0 0 2 1 3 0 4 0 0 1 0 40

13 82 90 710 1 5 1 1 5 73 3 108 7 0 20 10 24 0 1140

14 5 5 54 0 0 0 0 0 4 1 6 0 8 0 3 2 0 87

15 2 2 21 0 0 0 0 0 1 1 2 0 3 2 0 1 0 35

16 17 6 41 0 0 0 0 0 5 1 7 0 29 1 1 0 0 110

17 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Total 812 284 1981 5 17 2 5 17 239 69 336 24 1369 71 36 110 0 5376

Zone 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 Total

1 0 382 2206 11 23 4 3 90 264 134 261 40 939 79 61 34 0 4532

2 227 0 922 4 9 2 1 34 98 50 96 15 195 29 23 13 0 1717

3 2666 359 0 20 40 8 4 127 444 149 414 70 4181 133 109 70 0 8793

4 4 5 39 0 0 0 0 1 3 2 3 1 12 1 1 0 0 73

5 17 10 83 0 0 0 0 3 7 4 6 1 26 2 2 1 0 161

6 3 2 16 0 0 0 0 1 1 1 1 0 5 0 0 0 0 32

7 1 1 8 0 0 0 0 0 1 0 1 0 2 0 0 0 0 15

8 70 41 220 1 3 0 0 0 28 15 25 4 107 8 7 3 0 533

9 185 115 511 3 7 1 1 28 0 40 76 12 285 23 19 9 0 1315

10 55 33 150 1 2 0 0 8 23 0 21 4 95 7 6 3 0 409

11 208 132 629 4 8 1 1 30 92 27 0 14 321 27 21 13 0 1529

12 43 26 207 1 2 0 0 7 17 9 16 0 65 5 4 2 0 405

13 719 462 3286 13 28 5 3 107 320 136 533 48 0 95 74 44 0 5873

14 49 31 254 1 2 0 0 7 21 11 20 3 76 0 25 4 0 504

15 36 22 177 1 1 0 0 6 15 8 14 2 56 22 0 2 0 362

16 32 12 70 0 1 0 0 2 10 4 12 1 50 3 2 0 0 198

17 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Total 4315 1633 8778 60 125 24 13 451 1344 589 1499 214 6416 437 352 198 0 26449

2020 Light Vehicles (pcu) (Inter-peak)

2020 Heavy Vehicles (pcu) (Inter-peak)

2020 All Vehicles (pcu) (Inter-peak)

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TRAFFIC MODELLING REPORT 30

Figure 8.7: 2020 Trip Matrices (PM Peak)

Zone 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 Total

1 0 325 2286 25 18 4 2 143 295 190 250 34 1087 94 45 37 0 4835

2 294 0 866 9 7 1 1 54 112 72 95 13 206 36 17 14 0 1796

3 3285 344 0 53 39 8 5 133 623 40 528 72 4592 198 94 76 0 10091

4 4 3 30 0 0 0 0 2 3 2 3 0 12 1 0 0 0 61

5 17 7 61 1 0 0 0 3 6 4 5 1 23 2 1 1 0 132

6 2 1 6 0 0 0 0 0 1 0 1 0 2 0 0 0 0 13

7 5 2 17 0 0 0 0 1 2 1 1 0 6 1 0 0 0 37

8 92 39 236 3 2 0 0 0 35 23 30 4 90 11 5 4 0 574

9 245 103 450 8 6 1 1 45 0 60 79 11 342 30 14 11 0 1404

10 66 28 244 2 2 0 0 12 25 0 21 3 93 8 4 4 0 513

11 305 128 561 10 7 1 1 56 116 37 0 13 427 37 18 13 0 1730

12 73 31 165 2 2 0 0 13 28 18 23 0 102 9 4 4 0 475

13 750 314 2584 24 18 4 2 138 284 184 482 33 0 90 43 38 0 4987

14 62 26 227 2 1 0 0 11 23 15 20 3 86 0 18 4 0 498

15 6 2 22 0 0 0 0 1 2 1 2 0 8 4 0 0 0 50

16 40 10 59 1 1 0 0 5 12 5 12 1 54 4 2 0 0 206

17 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Total 5245 1362 7814 140 104 21 13 617 1566 653 1552 190 7131 523 265 206 0 27401

Zone 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 Total

1 0 45 336 1 2 1 1 2 30 10 19 2 69 10 5 21 0 551

2 12 0 123 0 1 0 0 1 9 3 6 0 22 3 1 7 0 189

3 406 44 0 1 2 1 1 2 29 9 99 2 718 10 4 53 0 1379

4 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4

5 1 1 8 0 0 0 0 0 0 0 0 0 1 0 0 0 0 11

6 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4

7 0 0 5 0 0 0 0 0 0 0 0 0 1 0 0 0 0 8

8 1 1 13 0 0 0 0 0 1 0 0 0 2 0 0 1 0 19

9 8 9 70 0 0 0 0 0 0 2 4 0 15 2 1 5 0 117

10 2 2 31 0 0 0 0 0 2 0 1 0 4 1 0 2 0 45

11 12 14 96 0 1 0 0 1 9 3 0 0 21 3 1 7 0 169

12 1 1 10 0 0 0 0 0 1 0 0 0 1 0 0 1 0 15

13 51 65 530 1 3 1 1 3 44 14 27 2 0 15 7 31 0 794

14 1 2 20 0 0 0 0 0 1 0 1 0 2 0 1 1 0 30

15 1 1 12 0 0 0 0 0 1 0 0 0 1 1 0 1 0 18

16 20 7 51 0 0 0 0 0 5 2 6 0 35 2 1 0 0 130

17 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Total 517 193 1,309 2 10 2 2 10 132 43 164 7 891 48 22 130 0 3483

Zone 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 Total

1 0 370 2622 25 21 4 3 145 325 200 268 36 1156 104 49 58 0 5386

2 307 0 989 10 8 2 1 55 121 75 100 13 227 39 18 21 0 1985

3 3691 387 0 53 41 8 6 135 652 49 627 74 5310 208 99 130 0 11470

4 4 4 33 0 0 0 0 2 3 2 3 0 12 1 0 1 0 65

5 17 8 69 1 0 0 0 3 7 4 6 1 24 2 1 1 0 143

6 2 1 9 0 0 0 0 0 1 0 1 0 3 0 0 0 0 17

7 5 2 22 0 0 0 0 1 2 1 2 0 7 1 0 1 0 45

8 93 40 248 3 2 0 0 0 36 23 30 4 92 11 5 5 0 593

9 253 112 520 8 6 1 1 45 0 62 83 11 357 32 15 15 0 1521

10 69 30 275 2 2 0 0 12 27 0 22 3 97 9 4 6 0 557

11 317 142 657 10 8 2 1 57 125 40 0 14 448 40 19 20 0 1899

12 74 31 176 2 2 0 0 13 28 18 24 0 103 9 4 4 0 490

13 801 379 3114 25 21 4 3 141 328 197 509 35 0 105 50 69 0 5780

14 63 27 247 2 2 0 0 11 24 15 21 3 89 0 19 5 0 528

15 7 3 34 0 0 0 0 1 3 2 2 0 10 5 0 1 0 68

16 60 18 110 1 1 0 0 5 17 7 18 2 89 6 3 0 0 336

17 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Total 5762 1554 9123 142 113 23 16 627 1698 696 1715 197 8022 572 287 336 0 30884

2020 Light Vehicles (pcu) (PM Peak)

2020 Heavy Vehicles (pcu) (PM Peak)

2020 All Vehicles (pcu) (PM Peak)

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Figure 8.8: 2030 Trip Matrices (AM Peak)

Zone 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 Total

1 0 345 1577 6 19 2 4 98 185 73 193 99 1020 64 100 77 87 3949

2 180 0 650 2 6 1 1 32 61 24 64 32 168 21 33 26 29 1330

3 1686 533 0 9 29 3 6 151 286 113 299 152 3150 99 155 136 153 6960

4 13 16 91 0 1 0 0 5 9 3 9 5 47 3 5 4 5 216

5 16 10 57 0 0 0 0 3 5 2 6 3 30 2 3 3 3 143

6 3 2 11 0 0 0 0 1 1 0 1 1 6 0 1 1 1 29

7 1 1 5 0 0 0 0 0 0 0 0 0 2 0 0 0 0 9

8 101 64 366 1 4 0 1 0 34 14 36 18 189 12 19 18 20 897

9 249 157 449 3 9 1 2 45 0 33 88 45 465 29 46 33 37 1691

10 68 43 245 1 2 0 1 12 23 0 24 12 127 8 12 12 13 603

11 229 144 413 3 8 1 2 41 78 15 0 41 427 27 42 30 34 1535

12 35 22 125 0 1 0 0 6 12 5 12 0 65 4 6 6 7 306

13 781 494 2820 9 27 3 6 140 265 105 554 141 0 91 144 114 128 5822

14 57 36 206 1 2 0 0 10 19 8 20 10 106 0 52 11 12 550

15 71 45 258 1 2 0 1 13 24 10 25 13 134 42 0 13 15 667

16 71 39 149 1 2 0 1 11 21 8 27 12 121 8 13 0 0 484

17 80 44 167 1 3 0 1 13 23 9 31 13 136 9 14 0 0 544

Total 3641 1995 7589 38 115 11 26 581 1046 422 1389 597 6193 419 645 484 544 25735

Zone 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 Total

1 0 47 365 3 3 0 1 4 20 11 57 4 97 10 3 38 43 706

2 17 0 186 1 1 0 1 2 9 5 26 2 45 5 1 18 21 340

3 367 48 0 3 3 0 1 4 20 11 58 4 998 11 3 92 106 1729

4 1 1 8 0 0 0 0 0 0 0 1 0 1 0 0 1 1 14

5 1 2 20 0 0 0 0 0 1 0 2 0 3 0 0 2 2 33

6 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2

7 1 1 8 0 0 0 0 0 0 0 1 0 1 0 0 1 1 14

8 2 3 24 0 0 0 0 0 1 1 4 0 6 1 0 3 3 48

9 11 14 118 1 1 0 0 1 0 3 17 1 29 3 1 12 14 226

10 3 4 26 0 0 0 0 0 2 0 5 0 31 1 0 4 5 81

11 19 25 211 2 2 0 1 2 11 6 0 2 51 6 2 20 23 383

12 2 3 22 0 0 0 0 0 1 1 3 0 6 1 0 2 3 44

13 78 115 986 8 8 1 3 10 48 3 137 11 0 25 7 86 99 1625

14 4 5 63 0 0 0 0 0 2 1 6 0 11 0 2 6 7 107

15 2 3 36 0 0 0 0 0 1 1 4 0 6 3 0 3 4 63

16 30 16 124 1 1 0 0 1 7 2 19 2 77 4 1 0 0 285

17 35 19 143 1 1 0 1 2 8 3 22 2 89 5 1 0 0 332

Total 573 306 2342 20 20 1 8 26 131 48 362 28 1451 75 21 288 332 6032

Zone 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 Total

1 0 392 1942 9 22 2 5 102 205 84 250 103 1117 74 103 115 130 4655

2 197 0 836 3 7 1 2 34 70 29 90 34 213 26 34 44 50 1670

3 2053 581 0 12 32 3 7 155 306 124 357 156 4148 110 158 228 259 8689

4 14 17 99 0 1 0 0 5 9 3 10 5 48 3 5 5 6 230

5 17 12 77 0 0 0 0 3 6 2 8 3 33 2 3 5 5 176

6 3 2 13 0 0 0 0 1 1 0 1 1 6 0 1 1 1 31

7 2 2 13 0 0 0 0 0 0 0 1 0 3 0 0 1 1 23

8 103 67 390 1 4 0 1 0 35 15 40 18 195 13 19 21 23 945

9 260 171 567 4 10 1 2 46 0 36 105 46 494 32 47 45 51 1917

10 71 47 271 1 2 0 1 12 25 0 29 12 158 9 12 16 18 684

11 248 169 624 5 10 1 3 43 89 21 0 43 478 33 44 50 57 1918

12 37 25 147 0 1 0 0 6 13 6 15 0 71 5 6 8 10 350

13 859 609 3806 17 35 4 9 150 313 108 691 152 0 116 151 200 227 7447

14 61 41 269 1 2 0 0 10 21 9 26 10 117 0 54 17 19 657

15 73 48 294 1 2 0 1 13 25 11 29 13 140 45 0 16 19 730

16 101 55 273 2 3 0 1 12 28 10 46 14 198 12 14 0 0 769

17 115 63 310 2 4 0 2 15 31 12 53 15 225 14 15 0 0 876

Total 4214 2301 9931 58 135 12 34 607 1177 470 1751 625 7644 494 666 772 876 31767

2030 All Vehicles (pcu) (AM Peak)

2030 Light Vehicles (AM Peak)

2030 Heavy Vehicles (pcu) (AM Peak)

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Figure 8.9: 2030 Trip Matrices (Inter-peak)

Zone 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 Total

1 0 344 1854 11 21 4 2 95 228 124 197 38 900 69 59 38 42 4026

2 223 0 800 4 8 2 1 36 86 47 74 14 170 26 22 15 16 1543

3 2223 324 0 20 40 8 3 135 430 141 371 71 3394 130 111 72 79 7554

4 4 5 38 0 0 0 0 1 3 2 3 1 13 1 1 1 1 74

5 17 10 76 0 0 0 0 3 7 4 6 1 26 2 2 1 2 156

6 3 2 15 0 0 0 0 1 1 1 1 0 5 0 0 0 0 31

7 1 1 6 0 0 0 0 0 1 0 0 0 2 0 0 0 0 13

8 74 43 213 1 3 1 0 0 28 15 25 5 112 9 7 5 6 547

9 184 107 413 3 7 1 1 29 0 39 61 12 281 22 18 11 13 1203

10 56 33 135 1 2 0 0 9 22 0 19 4 86 7 6 4 4 387

11 196 115 441 4 7 1 1 31 76 21 0 13 300 23 20 12 13 1272

12 44 26 198 1 2 0 0 7 17 9 15 0 67 5 4 4 4 405

13 696 406 2813 13 25 5 2 112 269 146 464 44 0 82 70 50 55 5252

14 49 28 218 1 2 0 0 8 19 10 16 3 74 0 24 4 5 463

15 38 22 170 1 1 0 0 6 15 8 13 2 58 22 0 5 4 365

16 37 14 72 1 1 0 0 5 12 6 12 2 53 4 3 0 0 222

17 41 16 79 1 1 0 0 5 13 6 14 2 59 4 4 0 0 245

Total 3887 1497 7543 61 120 24 10 482 1226 578 1290 211 5601 406 352 224 245 23756

Zone 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 Total

1 0 67 509 1 4 1 1 4 55 21 81 5 115 15 7 47 54 985

2 23 0 190 0 1 0 0 1 19 7 28 2 40 5 3 17 19 356

3 630 62 0 1 3 0 1 3 51 19 75 5 1073 14 7 102 118 2164

4 0 0 4 0 0 0 0 0 0 0 0 0 1 0 0 0 0 7

5 1 1 13 0 0 0 0 0 1 0 1 0 2 0 0 1 1 22

6 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4

7 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4

8 2 2 25 0 0 0 0 0 2 1 3 0 4 0 0 2 2 44

9 16 16 132 0 1 0 0 1 0 5 19 1 28 4 2 12 14 252

10 3 3 26 0 0 0 0 0 3 0 4 0 17 1 0 3 4 65

11 28 28 226 0 1 0 0 1 23 9 0 2 47 6 3 20 23 417

12 2 2 25 0 0 0 0 0 2 1 3 0 4 0 0 2 2 44

13 82 90 710 1 5 1 1 5 73 3 108 7 0 20 10 59 68 1242

14 5 5 54 0 0 0 0 0 4 1 6 0 8 0 3 4 5 95

15 2 2 21 0 0 0 0 0 1 1 2 0 3 2 0 2 2 39

16 42 15 102 0 1 0 0 1 12 4 17 1 70 4 2 0 0 271

17 48 17 117 0 1 0 0 1 14 4 20 1 81 4 2 0 0 312

Total 885 310 2159 5 18 3 5 18 261 75 367 26 1492 77 39 271 312 6322

Zone 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 Total

1 0 411 2363 12 25 5 3 98 283 144 277 43 1015 84 66 85 96 5011

2 246 0 990 4 9 2 1 37 105 54 102 16 210 31 25 32 36 1899

3 2853 387 0 21 43 8 4 139 481 160 445 76 4467 144 118 174 197 9718

4 5 5 42 0 0 0 0 1 4 2 3 1 14 1 1 1 1 81

5 18 11 89 0 0 0 0 3 7 4 7 1 28 2 2 3 3 178

6 4 2 17 0 0 0 0 1 1 1 1 0 5 0 0 0 1 35

7 2 1 8 0 0 0 0 0 1 0 1 0 2 0 0 0 0 16

8 76 45 238 1 3 1 0 0 30 16 27 5 116 9 8 7 8 591

9 200 124 546 4 7 1 1 30 0 44 81 13 309 25 20 23 26 1454

10 60 36 162 1 2 0 0 9 24 0 23 4 103 7 6 7 8 452

11 224 142 666 4 9 2 1 33 98 29 0 15 347 29 23 32 36 1689

12 46 28 224 1 2 0 0 7 19 10 17 0 71 6 5 6 7 448

13 778 496 3523 14 30 6 3 116 343 149 572 51 0 102 79 109 123 6494

14 53 33 272 1 2 0 0 8 23 12 22 3 82 0 27 9 10 558

15 40 24 191 1 1 0 0 6 16 8 15 3 61 24 0 7 6 403

16 79 29 174 1 2 0 0 5 24 9 30 3 124 8 5 0 0 493

17 89 33 197 1 2 0 0 6 27 10 34 4 140 8 6 0 0 557

Total 4772 1807 9702 66 138 27 15 501 1486 653 1657 237 7092 483 390 495 557 30078

2030 Light Vehicles (pcu) (Inter-peak)

2030 Heavy Vehicles (pcu) (Inter-peak)

2030 All Vehicles (pcu) (Inter-peak)

Page 37: PARKSIDE LINK ROAD TRAFFIC MODELLING REPORT

PARKSIDE LINK ROAD

TRAFFIC MODELLING REPORT 33

Figure 8.10: 2030 Trip Matrices (PM Peak)

Zone 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 Total

1 0 354 2490 27 20 4 3 155 321 207 272 37 1184 102 49 93 103 5421

2 321 0 943 10 8 2 1 59 122 78 103 14 224 39 18 34 38 2014

3 3578 374 0 57 43 8 6 145 678 44 575 79 5001 216 103 193 214 11313

4 4 4 33 0 0 0 0 2 3 2 3 0 13 1 1 1 1 69

5 18 8 66 1 0 0 0 3 7 4 6 1 25 2 1 3 3 148

6 2 1 7 0 0 0 0 0 1 0 1 0 3 0 0 0 0 15

7 5 2 19 0 0 0 0 1 2 1 2 0 7 1 0 1 1 41

8 100 42 256 3 2 0 0 0 38 25 32 4 98 12 6 11 12 644

9 267 112 490 9 6 1 1 49 0 65 86 12 373 32 15 27 30 1575

10 72 30 266 2 2 0 0 13 27 0 23 3 101 9 4 10 11 575

11 332 139 611 11 8 2 1 61 126 41 0 15 465 40 19 33 37 1939

12 80 33 180 3 2 0 0 15 30 19 26 0 111 10 5 9 10 532

13 816 342 2813 26 19 4 3 150 310 200 525 36 0 98 47 96 106 5591

14 67 28 247 2 2 0 0 12 25 16 22 3 94 0 19 10 11 559

15 6 3 24 0 0 0 0 1 2 2 2 0 9 4 0 1 1 56

16 101 26 150 3 2 0 0 12 30 13 30 4 137 10 5 0 0 521

17 111 29 166 3 2 0 0 13 33 14 33 4 151 11 6 0 0 577

Total 5881 1527 8760 157 116 23 15 692 1756 732 1740 213 7995 587 297 521 577 31588

Zone 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 Total

1 0 45 336 1 2 1 1 2 30 10 19 2 69 10 5 52 60 641

2 12 0 123 0 1 0 0 1 9 3 6 0 22 3 1 18 20 220

3 406 44 0 1 2 1 1 2 29 9 99 2 718 10 4 130 149 1604

4 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4

5 1 1 8 0 0 0 0 0 0 0 0 0 1 0 0 1 1 13

6 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4

7 0 0 5 0 0 0 0 0 0 0 0 0 1 0 0 1 1 9

8 1 1 13 0 0 0 0 0 1 0 0 0 2 0 0 2 2 22

9 8 9 70 0 0 0 0 0 0 2 4 0 15 2 1 11 13 136

10 2 2 31 0 0 0 0 0 2 0 1 0 4 1 0 4 5 52

11 12 14 96 0 1 0 0 1 9 3 0 0 21 3 1 16 18 197

12 1 1 10 0 0 0 0 0 1 0 0 0 1 0 0 1 2 18

13 51 65 530 1 3 1 1 3 44 14 27 2 0 15 7 75 86 923

14 1 2 20 0 0 0 0 0 1 0 1 0 2 0 1 3 3 35

15 1 1 12 0 0 0 0 0 1 0 0 0 1 1 0 2 2 21

16 49 18 123 0 1 0 0 1 12 4 15 1 84 5 2 0 0 315

17 56 21 141 0 1 0 0 1 14 5 18 1 96 5 2 0 0 362

Total 601 224 1523 3 11 3 3 11 154 50 190 8 1037 56 25 315 362 4577

Zone 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 Total

1 0 399 2825 28 22 5 3 157 351 217 291 39 1253 112 53 144 162 6062

2 333 0 1066 10 8 2 1 60 131 81 109 15 246 42 20 52 59 2234

3 3983 418 0 58 45 9 6 147 707 53 674 80 5718 226 107 323 363 12918

4 5 4 36 0 0 0 0 2 4 2 3 0 13 1 1 2 2 73

5 19 8 74 1 0 0 0 3 7 5 6 1 26 2 1 4 4 161

6 2 1 9 0 0 0 0 0 1 0 1 0 3 0 0 1 1 19

7 5 3 24 0 0 0 0 1 2 1 2 0 8 1 0 1 2 50

8 101 43 269 3 2 0 0 0 39 25 33 4 100 12 6 13 14 666

9 275 121 560 9 7 1 1 49 0 67 90 12 387 34 16 38 42 1711

10 74 33 297 2 2 0 0 13 29 0 24 3 105 9 4 14 16 627

11 344 153 707 11 9 2 1 62 135 44 0 15 486 43 20 49 55 2136

12 80 34 190 3 2 0 0 15 31 20 26 0 112 10 5 11 12 550

13 868 407 3344 27 22 5 3 153 353 214 552 38 0 113 53 170 191 6514

14 69 30 267 2 2 0 0 12 27 17 22 3 96 0 20 12 14 593

15 7 4 36 0 0 0 0 1 3 2 2 0 11 5 0 3 3 77

16 149 44 273 3 3 1 0 13 42 17 45 4 220 15 7 0 0 836

17 167 50 307 3 3 1 1 14 48 19 51 5 248 16 8 0 0 939

Total 6482 1751 10283 160 127 26 18 703 1910 782 1930 221 9031 643 323 836 939 36165

2030 Light Vehicles (pcu) (PM Peak)

2030 Heavy Vehicles (pcu) (PM Peak)

2030 All Vehicles (pcu) (PM Peak)

Page 38: PARKSIDE LINK ROAD TRAFFIC MODELLING REPORT

PARKSIDE LINK ROAD

TRAFFIC MODELLING REPORT 34

Figures 8.11 and 8.12 show the forecast 2020 and 2030 ‘Do Minimum’ modelled flows for the

PLRTM. The ‘Do Minimum’ scenario reflects the 2015 base modelled flows and traffic growth to

2020 and 2030 levels.

Figure 8.11: 2020 ‘Do Minimum’ Modelled Flows

A580 A580 East Lancs Rd A580 East Lancs Rd

East Lancs Rd A580

East Lancs Rd

A49

Warrington Rd

Southworth Rd

New Link Rd

A49

M6

2 Way Hourly Flows

2020 Do Minium

AM 750

IP 750

PM 750

M62 M62

Newton Rd

Newton Rd

A49

Newton Rd

Winwick Link Rd

A49

12000

1196013240

480

340610

680

490690

790

450710

740

480760

0

00

650

540630

690

550650

650

540630

0

00

590

430470

630

450780

2810

35503430

11140

1100012520

1220

13301860

1220

13301860

1340

13201980

Par

ksid

e R

d

Pa

rksi

de

Rd

Page 39: PARKSIDE LINK ROAD TRAFFIC MODELLING REPORT

PARKSIDE LINK ROAD

TRAFFIC MODELLING REPORT 35

Table 8.12: 2030 ‘Do Minimum’ Modelled Flows

A580 A580 East Lancs Rd A580 East Lancs Rd

East Lancs Rd A580

East Lancs Rd

A49

Warrington Rd

Southworth Rd

New Link Rd

A49

M6

2 Way Hourly Flows

2030 Do Minium

AM 750

IP 750

PM 750

M62 M62

Newton Rd

Newton Rd

A49

Newton Rd

Winwick Link Rd

A49

12870

1342014520

570

480850

940

7101000

980

7201120

860

820780

0

00

820

680910

650

700930

820

680910

0

00

590

420240

860

7401200

2950

36403680

12160

1233014270

1754

17901980

1240

11201260

1240

13621810

Par

ksid

e R

d

Pa

rksi

de

Rd

Page 40: PARKSIDE LINK ROAD TRAFFIC MODELLING REPORT

PARKSIDE LINK ROAD

TRAFFIC MODELLING REPORT 36

9. PARKSIDE LINK ROAD SCHEME ASSIGNMENT (DO

SOMETHING)

The ‘Do Something’ network has been developed by editing the ‘Do Minimum’ network to

incorporate the Parkside Link Road and new junctions as part of the scheme.

The 2020 and 2030 matrices were assigned to the ‘Do Something’ network to produce the ‘Do

Something’ assignments which are presented in Tables 9.1 and 9.2.

Table 9.1: 2020 ‘Do Something’ Modelled Flows

A580 A580 East Lancs Rd A580 East Lancs Rd

East Lancs Rd A580

East Lancs Rd

A49

Warrington Rd

Southworth Rd

New Link Rd

A49

M6

2 Way Hourly Flows

2020 Do Something

AM 750

IP 750

PM 750

M62 M62

Newton Rd

Newton Rd

A49

Newton Rd

Winwick Link Rd

A49

11550

1154012670

770

310630

1010

760830

920

770910

700

350580

370

450400

750

580580

373

110190

700

710550

930

1040750

700

550570

490

480510

2860

35503630

11180

1096012530

2120

23602820

1560

13302090

1460

13302130

Par

ksid

e R

d

Par

ksid

e R

d

Page 41: PARKSIDE LINK ROAD TRAFFIC MODELLING REPORT

PARKSIDE LINK ROAD

TRAFFIC MODELLING REPORT 37

Table 9.2: 2030 ‘Do Something’ Modelled Flows

It can be seen that the scheme provides an attractive additional route through the local highway

network. As such it attracts high levels of additional traffic that accesses the development sites

and reroutes from congested links.

Generally, the link between Parkside Road and Winwick Lane carries around double the traffic

volumes as the link between A49 and Parkside Road. This is as a result of traffic reassigning

between the main north-south routes to filter across to junction 22 of M6 in order to access the

strategic highway network.

Between A49 and Parkside Road, some of this rerouting is taking place along Southworth Road,

so this section of the Parkside Link Road attracts less overall traffic.

A580 A580 East Lancs Rd A580 East Lancs Rd

East Lancs Rd A580

East Lancs Rd

A49

Warrington Rd

Southworth Rd

New Link Rd

A49

M6

2 Way Hourly Flows

2030 Do Something

AM 750

IP 750

PM 750

Newton Rd

Newton Rd

M62 M62

Newton Rd

A49

A49

Winwick Link Rd

12530

1290013850

880

530800

1020

8001060

1030

8101060

810

520750

600

420570

630

820590

580

420480

1030

10001024

1190

9501070

770

640700

610

520670

3040

37303850

12207

1227014250

1790

23002700

1230

13501780

1330

13602030

Par

ksid

e R

d

Pa

rksi

de

Rd

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PARKSIDE LINK ROAD

TRAFFIC MODELLING REPORT 38

10. CONCLUSION

The Parkside Link Road model is well validated and suitable for assessing the impact of the

development proposals and the new scheme. It gives a good comparison between observed

traffic counts and modelled data and is suitable for this stage of scheme appraisal.

Moving forward to further detailed scheme development, the model will require additional

information from LCRTM and the Highways England Northwest Regional model to enable a more

robust model to be prepared for future appraisal.

The output from the SATURN modelling process has been included as input to the traffic

economic appraisal of the Parkside Link Road scheme.

Page 43: PARKSIDE LINK ROAD TRAFFIC MODELLING REPORT

PARKSIDE LINK ROAD

TRAFFIC MODELLING REPORT

APPENDIX 1

TURNING COUNT SURVEY SUMMARY

Page 44: PARKSIDE LINK ROAD TRAFFIC MODELLING REPORT

Turning Count Summary

Traffic Count 1SITE 1M62 J94 Arm RoundaboutSignalised

ARMA A49 Newton Road NB M62 WC A49 Winwick RoadD M62 E

LIGHTS HEAVIES

AM PEAK AM PEAK08:00-09:00 A B C D ORIG 08:00-0A B C DA 0 419 815 125 1359 A 0 46 32 10 88B 546 0 322 138 1006 B 51 0 22 22 95C 495 335 0 264 1094 C 43 28 0 57 128D 236 0 584 0 820 D 11 0 57 0 68DEST 1277 754 1721 527 4279 105 74 111 89 379

INTER PEAK INTER PEAK09:00-17:00 A B C D 09:00-1A B C DA 0 362 668 125 1154 A 0 38 37 11 86B 360 0 240 13 613 B 27 0 25 2 55C 569 260 0 416 1245 C 25 27 0 73 126D 181 3 339 1 525 D 15 1 57 1 74

1110 625 1247 556 3537 67 67 120 88 341

PM PEAK PM PEAK17:00-18:00 A B C D 17:00-1A B C DA 0 532 592 106 1230 A 0 11 24 1 36B 566 0 334 6 906 B 8 0 12 0 20C 814 425 0 446 1685 C 23 14 0 30 67D 326 0 388 3 717 D 16 0 44 1 61

1706 957 1314 561 4538 47 25 80 32 184

Appendix 1 - Traffic Count Survey Summary.xlsx

NDC for Curtins

Page 45: PARKSIDE LINK ROAD TRAFFIC MODELLING REPORT

Turning Count Summary

Traffic Count 1SITE 2A49 Newton Road / Winwick Park Avenue / Winwick Link Road4 Arm RoundaboutSignalised

ARMA A49 Newton Road NB Winwick Park AvenueC A49 Newton Road SD Winwick Link Road

LIGHTS HEAVIES

AM PEAK AM PEAK08:00-09:00 A B C D ORIG 08:00-09:00 A B C DA 0 12 547 165 724 A 0 1 22 16 39B 71 0 32 50 153 B 2 0 2 0 4C 668 10 0 771 1449 C 29 7 0 74 110D 66 10 601 4 681 D 2 0 56 1 59DEST 805 32 1180 990 3007 33 8 80 91 212

INTER PEAK INTER PEAK09:00-17:00 A B C D 09:00-17:00 A B C DA 1 15 530 64 610 A 0 1 25 4 29B 19 0 20 10 48 B 1 0 2 0 2C 566 23 0 419 1007 C 27 1 0 35 62D 67 12 511 4 594 D 5 0 61 2 68

652 51 1060 496 2258 33 2 87 41 162

PM PEAK PM PEAK17:00-18:00 A B C D 17:00-18:00 A B C DA 12 40 536 87 675 A 0 0 7 1 8B 19 0 21 6 46 B 0 0 0 0 0C 1044 71 0 580 1695 C 26 0 0 21 47D 154 24 610 9 797 D 6 0 29 0 35

1229 135 1167 682 3213 32 0 36 22 90

Appendix 1 - Traffic Count Survey Summary.xlsx

NDC for Curtins

Page 46: PARKSIDE LINK ROAD TRAFFIC MODELLING REPORT

JOB NO / NAMEDATE 2007

SURVEY TYPETurning Count Summary

Traffic Count 1SITE 3M6 J224 Arm RoundaboutPriority

ARMA M6 NB Winwick Link Road NC M6 SD A679 Winwick Lane S

LIGHTS HEAVIES

AM PEAK AM PEAK08:00-09:00 A B C D ORIG 08:00-09:00 A B C DA 0 460 0 106 566 A 0 37 0 3 40B 493 0 492 226 1211 B 53 0 23 23 99C 0 64 0 224 288 C 0 2 0 36 38D 78 319 523 0 920 D 3 16 51 0 70DEST 571 843 1015 556 2985 56 55 74 62 247

INTER PEAK INTER PEAK09:00-17:00 A B C D 09:00-17:00 A B C DA 0 342 0 26 368 A 0 42 0 2 44B 298 0 79 172 549 B 23 0 6 11 40C 0 66 0 253 320 C 0 7 0 43 50D 60 243 220 0 522 D 5 20 35 0 60

358 650 299 451 1758 28 69 41 57 194

PM PEAK PM PEAK17:00-18:00 A B C D 17:00-18:00 A B C DA 0 460 0 37 497 A 0 24 0 1 25B 601 0 65 140 806 B 18 0 2 1 21C 0 102 0 259 361 C 0 5 0 11 16D 210 301 284 0 795 D 2 7 17 0 26

811 863 349 436 2459 20 36 19 13 88

Appendix 1 - Traffic Count Survey Summary.xlsx

NDC for

Page 47: PARKSIDE LINK ROAD TRAFFIC MODELLING REPORT

Turning Count Summary

Traffic Count 1SITE 4Delph Lane Retail Park Access3 ArmSignal

ARMA A49 Newton Road NB Delph LaneC A49 Newton Road S

LIGHTS HEAVIES

AM PEAK AM PEAK08:00-09:00 A B C ORIG 08:00-09:00 A B CA 0 63 1148 1211 A 0 5 73 78B 343 0 236 579 B 10 0 13 23C 1091 175 0 1266 C 100 3 0 103DEST 1434 238 1384 3056 110 8 86 204

INTER PEAK INTER PEAK09:00-17:00 A B C 09:00-17:00 A B CA 0 94 964 1058 A 0 8 80 87B 113 0 173 286 B 7 0 6 13C 904 199 0 1103 C 56 7 0 64

1017 293 1137 2447 63 15 86 163

PM PEAK PM PEAK17:00-18:00 A B C 17:00-18:00 A B CA 0 74 1097 1171 A 0 4 34 38B 161 0 122 283 B 3 0 3 6C 1531 182 0 1713 C 43 5 0 48

1692 256 1219 3167 46 9 37 92

Appendix 1 - Traffic Count Survey Summary.xlsx - Site 4NDC forCurtins

Page 48: PARKSIDE LINK ROAD TRAFFIC MODELLING REPORT

Turning Count Summary

Traffic Count 1SITE 6A49 / Hermitage Green Lane3 ArmPriority

ARMA A49 Winwick Road B Hermitage Green LaneC A49 Newton Road

LIGHTS HEAVIES

AM PEAK AM PEAK08:00-09:00 A B C ORIG 08:00-09:00 A B CA 0 373 31 404 A 0 20 0 20B 259 0 2 261 B 15 0 0 15C 1 1 0 2 C 0 0 0 0DEST 260 374 33 667 15 20 0 35

INTER PEAK INTER PEAK09:00-17:00 A B C 09:00-17:00 A B CA 0 245 4 249 A 0 19 0 19B 309 0 1 310 B 22 0 0 22C 3 1 0 3 C 0 0 0 0

311 246 5 563 22 19 0 41

PM PEAK PM PEAK17:00-18:00 A B C 17:00-18:00 A B CA 0 250 5 255 A 0 2 0 2B 743 0 9 752 B 17 0 0 17C 18 2 0 20 C 0 0 0 0

761 252 14 1027 17 2 0 19

Appendix 1 - Traffic Count Survey Summary.xlsx - Site 6NDC forCurtins

Page 49: PARKSIDE LINK ROAD TRAFFIC MODELLING REPORT

Turning Count Summary

Traffic Count 1SITE 7A49 Newton Road / Hollins Lane3 ArmSignalised

ARMA A49 Newton Road NB Hollins LaneC A49 Newton Road S

LIGHTS HEAVIES

AM PEAK AM PEAK08:00-09:00 A B C ORIG 08:00-09:00 A B CA 0 108 267 375 A 0 0 22 22B 42 0 331 373 B 2 0 10 12C 203 248 0 451 C 14 8 0 22DEST 245 356 598 1199 16 8 32 56

INTER PEAK INTER PEAK09:00-17:00 A B C 09:00-17:00 A B CA 0 40 217 257 A 0 2 17 19B 46 0 178 223 B 2 0 4 6C 241 148 0 389 C 21 4 0 25

287 189 395 870 23 6 21 50

PM PEAK PM PEAK17:00-18:00 A B C 17:00-18:00 A B CA 0 81 208 289 A 0 0 2 2B 134 0 222 356 B 0 0 2 2C 562 258 0 820 C 23 3 0 26

696 339 430 1465 23 3 4 30

Appendix 1 - Traffic Count Survey Summary.xlsx - Site 7NDC forCurtins

Page 50: PARKSIDE LINK ROAD TRAFFIC MODELLING REPORT

Turning Count Summary

Traffic Count 1SITE 9Golborne Road / Myddleton Lane3 ArmPriority

ARMA Golborne Road NB Golborne Road SC Myddleton Lane

LIGHTS HEAVIES

AM PEAK AM PEAK08:00-09:00 A B C ORIG 08:00-09:00 A B CA 0 226 99 325 A 0 4 2 6B 110 0 589 699 B 1 0 12 13C 67 199 0 266 C 0 5 0 5DEST 177 425 688 1290 1 9 14 24

INTER PEAK INTER PEAK09:00-17:00 A B C 09:00-17:00 A B CA 0 136 39 174 A 0 4 1 5B 174 0 248 421 B 5 0 6 11C 65 244 0 309 C 1 7 0 8

239 380 287 905 7 11 7 24

PM PEAK PM PEAK17:00-18:00 A B C 17:00-18:00 A B CA 0 136 60 196 A 0 0 0 0B 341 0 341 682 B 3 0 4 7C 146 323 0 469 C 0 4 0 4

487 459 401 1347 3 4 4 11

Appendix 1 - Traffic Count Survey Summary.xlsx - Site 9NDC forCurtins

Page 51: PARKSIDE LINK ROAD TRAFFIC MODELLING REPORT

Turning Count Summary

Traffic Count 1SITE 11Parkside Road / Barrow Lane3 ArmPriority

ARMA Parkside Road NB Parkside Road SC Barrow Lane

LIGHTS HEAVIES

AM PEAK AM PEAK08:00-09:00 A B C ORIG 08:00-09:00 A B CA 0 299 0 299 A 0 3 0 3B 168 0 0 168 B 2 0 0 2C 0 0 0 0 C 0 0 0 0DEST 168 299 0 467 2 3 0 5

INTER PEAK INTER PEAK09:00-17:00 A B C 09:00-17:00 A B CA 0 147 1 148 A 0 4 0 4B 188 0 1 188 B 6 0 0 6C 1 1 0 1 C 0 0 0 0

189 147 1 337 6 4 0 10

PM PEAK PM PEAK17:00-18:00 A B C 17:00-18:00 A B CA 0 179 2 181 A 0 0 0 0B 362 0 1 363 B 3 0 0 3C 0 0 0 0 C 0 0 0 0

362 179 3 544 3 0 0 3

Appendix 1 - Traffic Count Survey Summary.xlsx - Site 11NDC forCurtins

Page 52: PARKSIDE LINK ROAD TRAFFIC MODELLING REPORT

Turning Count Summary

Traffic Count 1SITE 14A49/Crow Lane East3 Arm RoundaboutPriority

ARMA A49 Ashton RoadB Crow Lane C A49 High Street

LIGHTS HEAVIES

AM PEAK AM PEAK08:00-09:00 A B C ORIG 08:00-09:00 A B CA 0 138 283 421 A 0 16 8 24B 168 0 293 461 B 17 0 23 40C 288 224 6 518 C 2 11 0 13DEST 456 362 582 1400 19 27 31 77

INTER PEAK INTER PEAK09:00-17:00 A B C 09:00-17:00 A B CA 1 104 155 260 A 0 13 4 16B 120 1 247 368 B 16 0 16 33C 165 234 6 405 C 6 17 0 23

287 338 409 1034 22 30 20 72

PM PEAK PM PEAK17:00-18:00 A B C 17:00-18:00 A B CA 0 146 322 468 A 0 6 3 9B 148 0 330 478 B 7 0 3 10C 277 359 10 646 C 2 14 0 16

425 505 662 1592 9 20 6 35

Appendix 1 - Traffic Count Survey Summary.xlsx - Site 14NDC forCurtins

Page 53: PARKSIDE LINK ROAD TRAFFIC MODELLING REPORT

Turning Count Summary

Traffic Count 2Site 15A573/A5804 Arm RoundaboutPriority

ARMA A573 Bridge StreetB A580 East Lancashire Road WC A573 Warrington Road SD A580 East Lancashire Road E

LIGHTS HEAVIES

AM PEAK AM PEAK08:00-09:00 A B C D ORIG 08:00-09:00 A B C DA 0 304 146 155 605 A 0 14 4 7 25B 79 50 54 854 1037 B 10 5 3 103 121C 151 14 0 28 193 C 3 1 0 1 5D 47 986 48 1 1082 D 6 129 0 0 135DEST 277 1354 248 1038 2917 19 149 7 111 286

INTER PEAK INTER PEAK09:00-17:00 A B C D 09:00-17:00 A B C DA 0 188 115 115 419 A 0 16 3 8 27B 94 19 19 686 818 B 13 1 1 112 126C 131 11 0 19 161 C 3 1 0 1 5D 94 720 35 1 848 D 7 111 0 0 118

318 938 169 820 2245 23 128 4 121 276

PM PEAK PM PEAK17:00-18:00 A B C D 17:00-18:00 A B C DA 0 302 142 179 623 A 0 4 1 3 8B 52 8 13 961 1034 B 6 0 1 58 65C 195 11 0 21 227 C 0 0 0 1 1D 128 1079 29 0 1236 D 6 52 0 0 58

375 1400 184 1161 3120 12 56 2 62 132

Appendix 1 - Traffic Count Survey Summary.xlsx - Site 15NDC for

Client

Page 54: PARKSIDE LINK ROAD TRAFFIC MODELLING REPORT

Turning Count Summary

Traffic Count 2Site 16A580 / Church Lane4 Arm Signal

ARMA B5207 Church Lane NB A580 East Lancashire Road WC B5207 Church Lane SD A580 East Lancashire Road E

LIGHTS HEAVIES

AM PEAK AM PEAK08:00-09:00 A B C D ORIG 08:00-09:00 A B C DA 0 28 147 71 246 A 0 1 7 9 17B 48 0 171 1030 1249 B 1 0 5 103 109C 86 64 0 5 155 C 3 3 0 0 6D 101 813 130 0 1044 D 3 118 1 0 122DEST 235 905 448 1106 2694 7 122 13 112 254

INTER PEAK INTER PEAK09:00-17:00 A B C D 09:00-17:00 A B C DA 0 19 115 154 288 A 0 1 6 11 18B 28 0 59 724 811 B 1 0 4 103 108C 136 58 0 2 196 C 8 5 0 0 13D 148 714 6 0 868 D 12 109 1 0 121

311 791 180 880 2162 21 114 11 114 260

PM PEAK PM PEAK17:00-18:00 A B C D 17:00-18:00 A B C DA 0 21 103 160 284 A 0 0 2 5 7B 79 0 81 1165 1325 B 1 0 4 56 61C 223 54 0 3 280 C 3 0 0 1 4D 268 1093 4 0 1365 D 2 56 0 0 58

570 1168 188 1328 3254 6 56 6 62 130

Appendix 1 - Traffic Count Survey Summary.xlsx - Site 16NDC forCurtins

Page 55: PARKSIDE LINK ROAD TRAFFIC MODELLING REPORT

Turning Count Summary

Traffic Count 2Site 17A580 / A5724 Arm Signal

ARMA A572 Newton Road NB A580 East Lancashire Road WC A572 Newton Road SD A580 East Lancashire Road E

LIGHTS HEAVIES

AM PEAK AM PEAK08:00-09:00 A B C D ORIG 08:00-09:00 A B C DA 0 216 203 9 428 A 0 10 21 1 32B 210 0 1 896 1107 B 8 0 0 105 113C 140 6 0 294 440 C 9 0 0 25 34D 16 830 491 0 1337 D 0 108 37 0 145DEST 366 1052 695 1199 3312 17 118 58 131 324

INTER PEAK INTER PEAK09:00-17:00 A B C D 09:00-17:00 A B C DA 0 161 147 24 331 A 0 12 11 2 24B 167 0 0 708 876 B 14 0 0 101 115C 189 17 0 343 550 C 12 1 0 39 52D 30 687 356 0 1072 D 3 106 41 0 150

387 865 503 1075 2829 29 119 52 142 341

PM PEAK PM PEAK17:00-18:00 A B C D 17:00-18:00 A B C DA 0 202 170 28 400 A 0 6 5 1 12B 294 0 0 1043 1337 B 7 0 0 54 61C 276 14 0 426 716 C 11 0 0 13 24D 60 1143 504 0 1707 D 0 50 16 0 66

630 1359 674 1497 4160 18 56 21 68 163

Appendix 1 - Traffic Count Survey Summary.xlsx - Site 17NDC forCurtins

Page 56: PARKSIDE LINK ROAD TRAFFIC MODELLING REPORT

Turning Count Summary

Traffic Count 2Site 18B5207/A5724 Arm StaggeredSignal

ARMA B5207 Church LaneB A572 Newton Road SC B5207 Kenyon LaneD A572 Newton Road N

LIGHTS HEAVIES

AM PEAK AM PEAK08:00-09:00 A B C D ORIG 08:00-09:00 A B C DA 0 170 283 3 456 A 0 8 4 0 12B 43 0 86 351 480 B 2 0 5 31 38C 108 24 0 86 218 C 4 6 0 6 16D 1 545 146 0 692 D 0 60 2 0 62DEST 152 739 515 440 1846 6 74 11 37 128

INTER PEAK INTER PEAK09:00-17:00 A B C D 09:00-17:00 A B C DA 0 82 88 10 180 A 0 7 4 0 11B 64 0 30 440 533 B 7 0 2 48 58C 130 35 0 96 260 C 5 3 0 4 12D 3 438 58 0 498 D 0 48 4 0 52

196 555 176 545 1472 13 58 10 52 133

PM PEAK PM PEAK17:00-18:00 A B C D 17:00-18:00 A B C DA 0 74 104 11 189 A 0 2 2 0 4B 74 0 20 490 584 B 3 0 1 23 27C 207 28 0 205 440 C 1 2 0 1 4D 1 592 59 0 652 D 1 22 0 0 23

282 694 183 706 1865 5 26 3 24 58

Appendix 1 - Traffic Count Survey Summary.xlsx - Site 18NDC forCurtins

Page 57: PARKSIDE LINK ROAD TRAFFIC MODELLING REPORT

Turning Count Summary

Traffic Count 2SITE 44: M6(J23)Slip Road (NW Arm) /Lodge Lane (NE Arm) /A580 East Lancashire Road (East Arm) /M6(J23)Slip Road (SE Arm) /Lodge Lane (SW Arm) /A580 East Lancashire Road (West Arm) /Shell Access 7 Arm Motorway JunctionSignalised

ARMA M6(J23)Slip Road (NW Arm) B Lodge Lane (NE Arm) C A580 East Lancashire Road (East Arm) D M6(J23)Slip Road (SE Arm) E Lodge Lane (SW Arm) F A580 East Lancashire Road (West Arm) G Shell Access

LIGHTS HEAVIES

AM PEAK AM PEAK08:00-09:00 A B C D E F G ORIG 08:00‐09:00 A B C D E F GA 0 91 388 4 102 11 0 596 A 0 5 30 0 7 3 0 45

B 14 0 162 186 67 9 2 440 B 1 0 6 15 1 1 0 24

C 382 155 5 130 50 657 22 1401 C 47 2 0 36 10 65 2 162

D 33 146 121 5 102 316 4 727 D 3 13 12 0 14 61 1 104

E 158 54 57 23 0 120 9 421 E 12 2 9 2 0 9 2 36

F 16 31 655 391 105 0 0 1198 F 9 5 65 93 3 0 0 175

G 28 12 3 23 3 4 0 73 G 5 0 2 6 1 0 0 14

DEST 631 489 1391 762 429 1117 37 4856 77 27 124 152 36 139 5 560

INTER PEAK INTER PEAK09:00‐17:00 09:00‐17:00 A B C D E F GA 0 65 456 6 109 60 4 699 A 0 7 51 0 5 4 2 69

B 17 0 122 140 42 26 3 350 B 4 0 6 18 2 1 0 30

C 365 126 4 110 33 488 14 1139 C 34 4 0 17 4 52 2 112

D 17 175 178 6 48 460 8 892 D 2 11 14 0 10 91 3 130

E 92 62 52 34 0 157 8 405 E 9 1 7 2 0 12 0 31

F 40 48 503 272 98 0 0 962 F 11 4 60 68 6 0 1 150

G 22 9 12 15 1 7 0 65 G 2 1 0 3 0 4 0 10

553 486 1326 582 331 1198 37 4512 62 27 138 107 27 163 8 531

PM PEAK PM PEAK17:00-18:00 A B C D E F G 17:00‐18:00 A B C D E F GA 0 73 540 6 135 108 3 865 A 0 7 28 0 7 5 1 48

B 38 0 151 191 74 27 4 485 B 0 0 1 8 0 1 0 10

C 500 141 4 148 47 734 5 1579 C 27 6 0 12 0 42 0 87

D 23 263 418 8 86 661 15 1474 D 1 16 21 0 5 63 0 106

E 109 96 52 37 0 253 11 558 E 2 1 3 0 0 6 0 12

F 48 60 650 248 113 0 1 1120 F 1 2 48 34 4 0 0 89

G 22 18 23 18 0 4 0 85 G 2 0 1 1 0 1 0 5

740 651 1838 656 455 1787 39 6166 33 32 102 55 16 118 1 357

Page 58: PARKSIDE LINK ROAD TRAFFIC MODELLING REPORT

Turning Count Summary

Traffic Count 2SITE 88 : A49 Mill Lane (North Arm) /Alfred St /A49 Mill Lane (South Arm)3 ArmPriority

ARMA A49 Mill Lane (North Arm) B Alfred St C A49 Mill Lane (South Arm)

LIGHTS HEAVIES

AM PEAK AM PEAK08:00-09:00 A B C ORIG 08:00-09:00 A B CA 17 499 516 A 2 33 35

B 5 3 8 B 1 3 4

C 369 5 374 C 16 1 17

DEST 374 22 502 898 17 3 36 56

INTER PEAK INTER PEAK09:00‐17:00 09:00‐17:00A 15 342 358 A 2 20 21

B 16 7 23 B 0 0 1

C 484 9 493 C 28 0 28

500 24 349 874 28 2 20 50

PM PEAK PM PEAK17:00-18:00 A B C 17:00-18:00 A B CA 7 332 339 A 1 4 5

B 16 12 28 B 1 1 2

C 839 6 845 C 23 0 23

855 13 344 1212 24 1 5 30

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PARKSIDE LINK ROAD

TRAFFIC MODELLING REPORT

APPENDIX 2

TRICS DATA

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Gifford LLP Ringwood Road Southampton SO40 7HT Licence No: 727701

Calculation Reference: AUDIT-727701-170424-0449

TRIP RATE CALCULATION SELECTION PARAMETERS:

Land Use : 02 - EMPLOYMENT

Category : F - WAREHOUSING (COMMERCIAL)

VEHICLES

Selected regions and areas:

01 GREATER LONDON

HO HOUNSLOW 2 days

04 EAST ANGLIA

SF SUFFOLK 1 days

05 EAST MIDLANDS

LN LINCOLNSHIRE 1 days

09 NORTH

TW TYNE & WEAR 1 days

This section displays the number of survey days per TRICS® sub-region in the selected set

Secondary Filtering selection:

This data displays the chosen trip rate parameter and its selected range. Only sites that fall within the parameter range

are included in the trip rate calculation.

Parameter: Gross floor area

Actual Range: 13500 to 32300 (units: sqm)

Range Selected by User: 5000 to 80066 (units: sqm)

Public Transport Provision:

Selection by: Include all surveys

Date Range: 01/01/09 to 23/11/16

This data displays the range of survey dates selected. Only surveys that were conducted within this date range are

included in the trip rate calculation.

Selected survey days:

Monday 1 days

Wednesday 1 days

Thursday 2 days

Friday 1 days

This data displays the number of selected surveys by day of the week.

Selected survey types:

Manual count 5 days

Directional ATC Count 0 days

This data displays the number of manual classified surveys and the number of unclassified ATC surveys, the total adding

up to the overall number of surveys in the selected set. Manual surveys are undertaken using staff, whilst ATC surveys are

undertaking using machines.

Selected Locations:

Suburban Area (PPS6 Out of Centre) 3

Edge of Town 2

This data displays the number of surveys per main location category within the selected set. The main location categories

consist of Free Standing, Edge of Town, Suburban Area, Neighbourhood Centre, Edge of Town Centre, Town Centre and

Not Known.

Selected Location Sub Categories:

Industrial Zone 4

No Sub Category 1

This data displays the number of surveys per location sub-category within the selected set. The location sub-categories

consist of Commercial Zone, Industrial Zone, Development Zone, Residential Zone, Retail Zone, Built-Up Zone, Village, Out

of Town, High Street and No Sub Category.

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Gifford LLP Ringwood Road Southampton SO40 7HT Licence No: 727701

Secondary Filtering selection:

Use Class:

B 8 5 days

This data displays the number of surveys per Use Class classification within the selected set. The Use Classes Order 2005

has been used for this purpose, which can be found within the Library module of TRICS®.

Population within 1 mile:

1,001 to 5,000 2 days

10,001 to 15,000 1 days

20,001 to 25,000 1 days

25,001 to 50,000 1 days

This data displays the number of selected surveys within stated 1-mile radii of population.

Population within 5 miles:

5,001 to 25,000 1 days

25,001 to 50,000 1 days

250,001 to 500,000 1 days

500,001 or More 2 days

This data displays the number of selected surveys within stated 5-mile radii of population.

Car ownership within 5 miles:

0.6 to 1.0 1 days

1.1 to 1.5 4 days

This data displays the number of selected surveys within stated ranges of average cars owned per residential dwelling,

within a radius of 5-miles of selected survey sites.

Travel Plan:

Yes 2 days

No 3 days

This data displays the number of surveys within the selected set that were undertaken at sites with Travel Plans in place,

and the number of surveys that were undertaken at sites without Travel Plans.

PTAL Rating:

No PTAL Present 3 days

1b Very poor 2 days

This data displays the number of selected surveys with PTAL Ratings.

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Gifford LLP Ringwood Road Southampton SO40 7HT Licence No: 727701

LIST OF SITES relevant to selection parameters

1 HO-02-F-01 LOGISTICS AND FREIGHT HOUNSLOW

ASCOT ROAD

FELTHAM

Suburban Area (PPS6 Out of Centre)

Industrial Zone

Total Gross floor area: 1 3 5 0 0 sqm

Survey date: WEDNESDAY 23/11/16 Survey Type: MANUAL

2 HO-02-F-02 LOGISTICS AND FREIGHT HOUNSLOW

ASCOT ROAD

FELTHAM

Suburban Area (PPS6 Out of Centre)

Industrial Zone

Total Gross floor area: 1 3 5 0 0 sqm

Survey date: THURSDAY 11/09/14 Survey Type: MANUAL

3 LN-02-F-01 BOOK SERVICE LINCOLNSHIRE

TRENT ROAD

GRANTHAM

Edge of Town

No Sub Category

Total Gross floor area: 3 2 3 0 0 sqm

Survey date: MONDAY 29/11/10 Survey Type: MANUAL

4 SF-02-F-02 WAREHOUSING SUFFOLK

WALTON ROAD

FELIXSTOWE

Suburban Area (PPS6 Out of Centre)

Industrial Zone

Total Gross floor area: 2 2 2 7 0 sqm

Survey date: THURSDAY 11/07/13 Survey Type: MANUAL

5 TW-02-F-01 ASDA DISTRIBUTION CENTRE TYNE & WEAR

MANDARIN WAY

PATTISON IND. ESTATE

WASHINGTON

Edge of Town

Industrial Zone

Total Gross floor area: 3 1 0 0 0 sqm

Survey date: FRIDAY 13/11/15 Survey Type: MANUAL

This section provides a list of all survey sites and days in the selected set. For each individual survey site, it displays a

unique site reference code and site address, the selected trip rate calculation parameter and its value, the day of the week

and date of each survey, and whether the survey was a manual classified count or an ATC count.

MANUALLY DESELECTED SITES

Site Ref Reason for Deselection

AN-02-F-02 Northern Ireland. Not a representative location.

GA-02-F-01 Ireland. Not a representative location.

LU-02-F-01 Ireland. Not a representative location.

WR-02-F-01 None representative location

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Gifford LLP Ringwood Road Southampton SO40 7HT Licence No: 727701

Trip Rates for Key Periods Trips per 100 sqm GFA

Period Inbound Outbound Total

0800-0900 0.214 0.048 0.262

1700-1800 0.075 0.205 0.280

TRIP RATE for Land Use 02 - EMPLOYMENT/F - WAREHOUSING (COMMERCIAL)

VEHICLES

Calculation factor: 100 sqm

BOLD print indicates peak (busiest) period

ARRIVALS DEPARTURES TOTALS

No. Ave. Trip No. Ave. Trip No. Ave. Trip

Time Range Days GFA Rate Days GFA Rate Days GFA Rate

00:00 - 00:30

00:30 - 01:00

01:00 - 01:30

01:30 - 02:00

02:00 - 02:30

02:30 - 03:00

03:00 - 03:30

03:30 - 04:00

04:00 - 04:30

04:30 - 05:00

1 22270 0.013 1 22270 0.018 1 22270 0.03105:00 - 05:30

1 22270 0.004 1 22270 0.022 1 22270 0.02605:30 - 06:00

1 22270 0.018 1 22270 0.022 1 22270 0.04006:00 - 06:30

1 22270 0.040 1 22270 0.040 1 22270 0.08006:30 - 07:00

5 22514 0.042 5 22514 0.020 5 22514 0.06207:00 - 07:30

5 22514 0.082 5 22514 0.021 5 22514 0.10307:30 - 08:00

5 22514 0.091 5 22514 0.020 5 22514 0.11108:00 - 08:30

5 22514 0.123 5 22514 0.028 5 22514 0.15108:30 - 09:00

5 22514 0.066 5 22514 0.016 5 22514 0.08209:00 - 09:30

5 22514 0.030 5 22514 0.026 5 22514 0.05609:30 - 10:00

5 22514 0.032 5 22514 0.026 5 22514 0.05810:00 - 10:30

5 22514 0.019 5 22514 0.023 5 22514 0.04210:30 - 11:00

5 22514 0.024 5 22514 0.028 5 22514 0.05211:00 - 11:30

5 22514 0.033 5 22514 0.028 5 22514 0.06111:30 - 12:00

5 22514 0.038 5 22514 0.060 5 22514 0.09812:00 - 12:30

5 22514 0.036 5 22514 0.038 5 22514 0.07412:30 - 13:00

5 22514 0.070 5 22514 0.050 5 22514 0.12013:00 - 13:30

5 22514 0.054 5 22514 0.026 5 22514 0.08013:30 - 14:00

5 22514 0.035 5 22514 0.040 5 22514 0.07514:00 - 14:30

5 22514 0.021 5 22514 0.028 5 22514 0.04914:30 - 15:00

5 22514 0.032 5 22514 0.040 5 22514 0.07215:00 - 15:30

5 22514 0.034 5 22514 0.033 5 22514 0.06715:30 - 16:00

5 22514 0.028 5 22514 0.052 5 22514 0.08016:00 - 16:30

5 22514 0.028 5 22514 0.059 5 22514 0.08716:30 - 17:00

5 22514 0.028 5 22514 0.066 5 22514 0.09417:00 - 17:30

5 22514 0.047 5 22514 0.139 5 22514 0.18617:30 - 18:00

5 22514 0.033 5 22514 0.081 5 22514 0.11418:00 - 18:30

5 22514 0.018 5 22514 0.044 5 22514 0.06218:30 - 19:00

1 22270 0.027 1 22270 0.013 1 22270 0.04019:00 - 19:30

1 22270 0.009 1 22270 0.018 1 22270 0.02719:30 - 20:00

1 22270 0.004 1 22270 0.018 1 22270 0.02220:00 - 20:30

1 22270 0.009 1 22270 0.013 1 22270 0.02220:30 - 21:00

1 22270 0.018 1 22270 0.009 1 22270 0.02721:00 - 21:30

1 22270 0.013 1 22270 0.009 1 22270 0.02221:30 - 22:00

22:00 - 22:30

22:30 - 23:00

23:00 - 23:30

23:30 - 24:00

Total Rates: 1.199 1.174 2.373

This section displays the trip rate results based on the selected set of surveys and the selected count type (shown just

above the table). It is split by three main columns, representing arrivals trips, departures trips, and total trips (arrivals plus

departures). Within each of these main columns are three sub-columns. These display the number of survey days where

count data is included (per time period), the average value of the selected trip rate calculation parameter (per time

period), and the trip rate result (per time period). Total trip rates (the sum of the column) are also displayed at the foot of

the table.

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Gifford LLP Ringwood Road Southampton SO40 7HT Licence No: 727701

To obtain a trip rate, the average (mean) trip rate parameter value (TRP) is first calculated for all selected survey days

that have count data available for the stated time period. The average (mean) number of arrivals, departures or totals

(whichever applies) is also calculated (COUNT) for all selected survey days that have count data available for the stated

time period. Then, the average count is divided by the average trip rate parameter value, and multiplied by the stated

calculation factor (shown just above the table and abbreviated here as FACT). So, the method is: COUNT/TRP*FACT. Trip

rates are then rounded to 3 decimal places.

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Gifford LLP Ringwood Road Southampton SO40 7HT Licence No: 727701

Parameter summary

Trip rate parameter range selected: 13500 - 32300 (units: sqm)

Survey date date range: 01/01/09 - 23/11/16

Number of weekdays (Monday-Friday): 5

Number of Saturdays: 0

Number of Sundays: 0

Surveys automatically removed from selection: 0

Surveys manually removed from selection: 4

This section displays a quick summary of some of the data filtering selections made by the TRICS® user. The trip rate

calculation parameter range of all selected surveys is displayed first, followed by the range of minimum and maximum

survey dates selected by the user. Then, the total number of selected weekdays and weekend days in the selected set of

surveys are show. Finally, the number of survey days that have been manually removed from the selected set outside of

the standard filtering procedure are displayed.

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Gifford LLP Ringwood Road Southampton SO40 7HT Licence No: 727701

This graph is a visual representation of the trip rate calculation results screen. The same time periods and trip rates are

displayed, but in addition there is an additional column showing the percentage of the total trip rate by individual time

period, allowing peak periods to be easily identified through observation. Note that the type of count and the selected

direction is shown at the top of the graph.

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TRICS 7.4.1 250317 B17.49 (C) 2017 TRICS Consortium Ltd Monday 24/04/17

Page 8

Gifford LLP Ringwood Road Southampton SO40 7HT Licence No: 727701

This graph is a visual representation of the trip rate calculation results screen. The same time periods and trip rates are

displayed, but in addition there is an additional column showing the percentage of the total trip rate by individual time

period, allowing peak periods to be easily identified through observation. Note that the type of count and the selected

direction is shown at the top of the graph.

Page 68: PARKSIDE LINK ROAD TRAFFIC MODELLING REPORT

TRICS 7.4.1 250317 B17.49 (C) 2017 TRICS Consortium Ltd Monday 24/04/17

Page 9

Gifford LLP Ringwood Road Southampton SO40 7HT Licence No: 727701

This graph is a visual representation of the trip rate calculation results screen. The same time periods and trip rates are

displayed, but in addition there is an additional column showing the percentage of the total trip rate by individual time

period, allowing peak periods to be easily identified through observation. Note that the type of count and the selected

direction is shown at the top of the graph.

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Gifford LLP Ringwood Road Southampton SO40 7HT Licence No: 727701

TRIP RATE for Land Use 02 - EMPLOYMENT/F - WAREHOUSING (COMMERCIAL)

TAXIS

Calculation factor: 100 sqm

BOLD print indicates peak (busiest) period

ARRIVALS DEPARTURES TOTALS

No. Ave. Trip No. Ave. Trip No. Ave. Trip

Time Range Days GFA Rate Days GFA Rate Days GFA Rate

00:00 - 00:30

00:30 - 01:00

01:00 - 01:30

01:30 - 02:00

02:00 - 02:30

02:30 - 03:00

03:00 - 03:30

03:30 - 04:00

04:00 - 04:30

04:30 - 05:00

1 22270 0.000 1 22270 0.000 1 22270 0.00005:00 - 05:30

1 22270 0.000 1 22270 0.000 1 22270 0.00005:30 - 06:00

1 22270 0.000 1 22270 0.000 1 22270 0.00006:00 - 06:30

1 22270 0.000 1 22270 0.000 1 22270 0.00006:30 - 07:00

5 22514 0.000 5 22514 0.000 5 22514 0.00007:00 - 07:30

5 22514 0.000 5 22514 0.000 5 22514 0.00007:30 - 08:00

5 22514 0.000 5 22514 0.000 5 22514 0.00008:00 - 08:30

5 22514 0.001 5 22514 0.001 5 22514 0.00208:30 - 09:00

5 22514 0.001 5 22514 0.001 5 22514 0.00209:00 - 09:30

5 22514 0.000 5 22514 0.000 5 22514 0.00009:30 - 10:00

5 22514 0.000 5 22514 0.000 5 22514 0.00010:00 - 10:30

5 22514 0.000 5 22514 0.000 5 22514 0.00010:30 - 11:00

5 22514 0.000 5 22514 0.000 5 22514 0.00011:00 - 11:30

5 22514 0.000 5 22514 0.000 5 22514 0.00011:30 - 12:00

5 22514 0.000 5 22514 0.000 5 22514 0.00012:00 - 12:30

5 22514 0.000 5 22514 0.000 5 22514 0.00012:30 - 13:00

5 22514 0.000 5 22514 0.000 5 22514 0.00013:00 - 13:30

5 22514 0.000 5 22514 0.000 5 22514 0.00013:30 - 14:00

5 22514 0.000 5 22514 0.000 5 22514 0.00014:00 - 14:30

5 22514 0.000 5 22514 0.000 5 22514 0.00014:30 - 15:00

5 22514 0.000 5 22514 0.000 5 22514 0.00015:00 - 15:30

5 22514 0.000 5 22514 0.000 5 22514 0.00015:30 - 16:00

5 22514 0.000 5 22514 0.000 5 22514 0.00016:00 - 16:30

5 22514 0.001 5 22514 0.001 5 22514 0.00216:30 - 17:00

5 22514 0.000 5 22514 0.000 5 22514 0.00017:00 - 17:30

5 22514 0.000 5 22514 0.000 5 22514 0.00017:30 - 18:00

5 22514 0.000 5 22514 0.000 5 22514 0.00018:00 - 18:30

5 22514 0.001 5 22514 0.001 5 22514 0.00218:30 - 19:00

1 22270 0.000 1 22270 0.000 1 22270 0.00019:00 - 19:30

1 22270 0.000 1 22270 0.000 1 22270 0.00019:30 - 20:00

1 22270 0.000 1 22270 0.000 1 22270 0.00020:00 - 20:30

1 22270 0.000 1 22270 0.000 1 22270 0.00020:30 - 21:00

1 22270 0.000 1 22270 0.000 1 22270 0.00021:00 - 21:30

1 22270 0.000 1 22270 0.000 1 22270 0.00021:30 - 22:00

22:00 - 22:30

22:30 - 23:00

23:00 - 23:30

23:30 - 24:00

Total Rates: 0.004 0.004 0.008

This section displays the trip rate results based on the selected set of surveys and the selected count type (shown just

above the table). It is split by three main columns, representing arrivals trips, departures trips, and total trips (arrivals plus

departures). Within each of these main columns are three sub-columns. These display the number of survey days where

count data is included (per time period), the average value of the selected trip rate calculation parameter (per time

period), and the trip rate result (per time period). Total trip rates (the sum of the column) are also displayed at the foot of

the table.

To obtain a trip rate, the average (mean) trip rate parameter value (TRP) is first calculated for all selected survey days

that have count data available for the stated time period. The average (mean) number of arrivals, departures or totals

(whichever applies) is also calculated (COUNT) for all selected survey days that have count data available for the stated

time period. Then, the average count is divided by the average trip rate parameter value, and multiplied by the stated

calculation factor (shown just above the table and abbreviated here as FACT). So, the method is: COUNT/TRP*FACT. Trip

rates are then rounded to 3 decimal places.

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Parameter summary

Trip rate parameter range selected: 13500 - 32300 (units: sqm)

Survey date date range: 01/01/09 - 23/11/16

Number of weekdays (Monday-Friday): 5

Number of Saturdays: 0

Number of Sundays: 0

Surveys automatically removed from selection: 0

Surveys manually removed from selection: 4

This section displays a quick summary of some of the data filtering selections made by the TRICS® user. The trip rate

calculation parameter range of all selected surveys is displayed first, followed by the range of minimum and maximum

survey dates selected by the user. Then, the total number of selected weekdays and weekend days in the selected set of

surveys are show. Finally, the number of survey days that have been manually removed from the selected set outside of

the standard filtering procedure are displayed.

Page 71: PARKSIDE LINK ROAD TRAFFIC MODELLING REPORT

TRICS 7.4.1 250317 B17.49 (C) 2017 TRICS Consortium Ltd Monday 24/04/17

Page 12

Gifford LLP Ringwood Road Southampton SO40 7HT Licence No: 727701

This graph is a visual representation of the trip rate calculation results screen. The same time periods and trip rates are

displayed, but in addition there is an additional column showing the percentage of the total trip rate by individual time

period, allowing peak periods to be easily identified through observation. Note that the type of count and the selected

direction is shown at the top of the graph.

Page 72: PARKSIDE LINK ROAD TRAFFIC MODELLING REPORT

TRICS 7.4.1 250317 B17.49 (C) 2017 TRICS Consortium Ltd Monday 24/04/17

Page 13

Gifford LLP Ringwood Road Southampton SO40 7HT Licence No: 727701

This graph is a visual representation of the trip rate calculation results screen. The same time periods and trip rates are

displayed, but in addition there is an additional column showing the percentage of the total trip rate by individual time

period, allowing peak periods to be easily identified through observation. Note that the type of count and the selected

direction is shown at the top of the graph.

Page 73: PARKSIDE LINK ROAD TRAFFIC MODELLING REPORT

TRICS 7.4.1 250317 B17.49 (C) 2017 TRICS Consortium Ltd Monday 24/04/17

Page 14

Gifford LLP Ringwood Road Southampton SO40 7HT Licence No: 727701

This graph is a visual representation of the trip rate calculation results screen. The same time periods and trip rates are

displayed, but in addition there is an additional column showing the percentage of the total trip rate by individual time

period, allowing peak periods to be easily identified through observation. Note that the type of count and the selected

direction is shown at the top of the graph.

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TRICS 7.4.1 250317 B17.49 (C) 2017 TRICS Consortium Ltd Monday 24/04/17

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Gifford LLP Ringwood Road Southampton SO40 7HT Licence No: 727701

TRIP RATE for Land Use 02 - EMPLOYMENT/F - WAREHOUSING (COMMERCIAL)

OGVS

Calculation factor: 100 sqm

BOLD print indicates peak (busiest) period

ARRIVALS DEPARTURES TOTALS

No. Ave. Trip No. Ave. Trip No. Ave. Trip

Time Range Days GFA Rate Days GFA Rate Days GFA Rate

00:00 - 00:30

00:30 - 01:00

01:00 - 01:30

01:30 - 02:00

02:00 - 02:30

02:30 - 03:00

03:00 - 03:30

03:30 - 04:00

04:00 - 04:30

04:30 - 05:00

1 22270 0.009 1 22270 0.018 1 22270 0.02705:00 - 05:30

1 22270 0.004 1 22270 0.022 1 22270 0.02605:30 - 06:00

1 22270 0.009 1 22270 0.022 1 22270 0.03106:00 - 06:30

1 22270 0.018 1 22270 0.040 1 22270 0.05806:30 - 07:00

5 22514 0.012 5 22514 0.012 5 22514 0.02407:00 - 07:30

5 22514 0.018 5 22514 0.016 5 22514 0.03407:30 - 08:00

5 22514 0.009 5 22514 0.011 5 22514 0.02008:00 - 08:30

5 22514 0.015 5 22514 0.018 5 22514 0.03308:30 - 09:00

5 22514 0.017 5 22514 0.009 5 22514 0.02609:00 - 09:30

5 22514 0.014 5 22514 0.018 5 22514 0.03209:30 - 10:00

5 22514 0.018 5 22514 0.014 5 22514 0.03210:00 - 10:30

5 22514 0.010 5 22514 0.013 5 22514 0.02310:30 - 11:00

5 22514 0.008 5 22514 0.007 5 22514 0.01511:00 - 11:30

5 22514 0.013 5 22514 0.007 5 22514 0.02011:30 - 12:00

5 22514 0.012 5 22514 0.011 5 22514 0.02312:00 - 12:30

5 22514 0.008 5 22514 0.012 5 22514 0.02012:30 - 13:00

5 22514 0.018 5 22514 0.013 5 22514 0.03113:00 - 13:30

5 22514 0.009 5 22514 0.011 5 22514 0.02013:30 - 14:00

5 22514 0.015 5 22514 0.010 5 22514 0.02514:00 - 14:30

5 22514 0.009 5 22514 0.010 5 22514 0.01914:30 - 15:00

5 22514 0.017 5 22514 0.016 5 22514 0.03315:00 - 15:30

5 22514 0.016 5 22514 0.009 5 22514 0.02515:30 - 16:00

5 22514 0.017 5 22514 0.013 5 22514 0.03016:00 - 16:30

5 22514 0.012 5 22514 0.013 5 22514 0.02516:30 - 17:00

5 22514 0.014 5 22514 0.015 5 22514 0.02917:00 - 17:30

5 22514 0.012 5 22514 0.017 5 22514 0.02917:30 - 18:00

5 22514 0.007 5 22514 0.005 5 22514 0.01218:00 - 18:30

5 22514 0.007 5 22514 0.010 5 22514 0.01718:30 - 19:00

1 22270 0.013 1 22270 0.013 1 22270 0.02619:00 - 19:30

1 22270 0.004 1 22270 0.009 1 22270 0.01319:30 - 20:00

1 22270 0.004 1 22270 0.018 1 22270 0.02220:00 - 20:30

1 22270 0.009 1 22270 0.009 1 22270 0.01820:30 - 21:00

1 22270 0.013 1 22270 0.004 1 22270 0.01721:00 - 21:30

1 22270 0.013 1 22270 0.000 1 22270 0.01321:30 - 22:00

22:00 - 22:30

22:30 - 23:00

23:00 - 23:30

23:30 - 24:00

Total Rates: 0.403 0.445 0.848

This section displays the trip rate results based on the selected set of surveys and the selected count type (shown just

above the table). It is split by three main columns, representing arrivals trips, departures trips, and total trips (arrivals plus

departures). Within each of these main columns are three sub-columns. These display the number of survey days where

count data is included (per time period), the average value of the selected trip rate calculation parameter (per time

period), and the trip rate result (per time period). Total trip rates (the sum of the column) are also displayed at the foot of

the table.

To obtain a trip rate, the average (mean) trip rate parameter value (TRP) is first calculated for all selected survey days

that have count data available for the stated time period. The average (mean) number of arrivals, departures or totals

(whichever applies) is also calculated (COUNT) for all selected survey days that have count data available for the stated

time period. Then, the average count is divided by the average trip rate parameter value, and multiplied by the stated

calculation factor (shown just above the table and abbreviated here as FACT). So, the method is: COUNT/TRP*FACT. Trip

rates are then rounded to 3 decimal places.

Page 75: PARKSIDE LINK ROAD TRAFFIC MODELLING REPORT

TRICS 7.4.1 250317 B17.49 (C) 2017 TRICS Consortium Ltd Monday 24/04/17

Page 16

Gifford LLP Ringwood Road Southampton SO40 7HT Licence No: 727701

Parameter summary

Trip rate parameter range selected: 13500 - 32300 (units: sqm)

Survey date date range: 01/01/09 - 23/11/16

Number of weekdays (Monday-Friday): 5

Number of Saturdays: 0

Number of Sundays: 0

Surveys automatically removed from selection: 0

Surveys manually removed from selection: 4

This section displays a quick summary of some of the data filtering selections made by the TRICS® user. The trip rate

calculation parameter range of all selected surveys is displayed first, followed by the range of minimum and maximum

survey dates selected by the user. Then, the total number of selected weekdays and weekend days in the selected set of

surveys are show. Finally, the number of survey days that have been manually removed from the selected set outside of

the standard filtering procedure are displayed.

Page 76: PARKSIDE LINK ROAD TRAFFIC MODELLING REPORT

TRICS 7.4.1 250317 B17.49 (C) 2017 TRICS Consortium Ltd Monday 24/04/17

Page 17

Gifford LLP Ringwood Road Southampton SO40 7HT Licence No: 727701

This graph is a visual representation of the trip rate calculation results screen. The same time periods and trip rates are

displayed, but in addition there is an additional column showing the percentage of the total trip rate by individual time

period, allowing peak periods to be easily identified through observation. Note that the type of count and the selected

direction is shown at the top of the graph.

Page 77: PARKSIDE LINK ROAD TRAFFIC MODELLING REPORT

TRICS 7.4.1 250317 B17.49 (C) 2017 TRICS Consortium Ltd Monday 24/04/17

Page 18

Gifford LLP Ringwood Road Southampton SO40 7HT Licence No: 727701

This graph is a visual representation of the trip rate calculation results screen. The same time periods and trip rates are

displayed, but in addition there is an additional column showing the percentage of the total trip rate by individual time

period, allowing peak periods to be easily identified through observation. Note that the type of count and the selected

direction is shown at the top of the graph.

Page 78: PARKSIDE LINK ROAD TRAFFIC MODELLING REPORT

TRICS 7.4.1 250317 B17.49 (C) 2017 TRICS Consortium Ltd Monday 24/04/17

Page 19

Gifford LLP Ringwood Road Southampton SO40 7HT Licence No: 727701

This graph is a visual representation of the trip rate calculation results screen. The same time periods and trip rates are

displayed, but in addition there is an additional column showing the percentage of the total trip rate by individual time

period, allowing peak periods to be easily identified through observation. Note that the type of count and the selected

direction is shown at the top of the graph.

Page 79: PARKSIDE LINK ROAD TRAFFIC MODELLING REPORT

TRICS 7.4.1 250317 B17.49 (C) 2017 TRICS Consortium Ltd Monday 24/04/17

Page 20

Gifford LLP Ringwood Road Southampton SO40 7HT Licence No: 727701

TRIP RATE for Land Use 02 - EMPLOYMENT/F - WAREHOUSING (COMMERCIAL)

PSVS

Calculation factor: 100 sqm

BOLD print indicates peak (busiest) period

ARRIVALS DEPARTURES TOTALS

No. Ave. Trip No. Ave. Trip No. Ave. Trip

Time Range Days GFA Rate Days GFA Rate Days GFA Rate

00:00 - 00:30

00:30 - 01:00

01:00 - 01:30

01:30 - 02:00

02:00 - 02:30

02:30 - 03:00

03:00 - 03:30

03:30 - 04:00

04:00 - 04:30

04:30 - 05:00

1 22270 0.000 1 22270 0.000 1 22270 0.00005:00 - 05:30

1 22270 0.000 1 22270 0.000 1 22270 0.00005:30 - 06:00

1 22270 0.000 1 22270 0.000 1 22270 0.00006:00 - 06:30

1 22270 0.000 1 22270 0.000 1 22270 0.00006:30 - 07:00

5 22514 0.000 5 22514 0.000 5 22514 0.00007:00 - 07:30

5 22514 0.000 5 22514 0.000 5 22514 0.00007:30 - 08:00

5 22514 0.000 5 22514 0.000 5 22514 0.00008:00 - 08:30

5 22514 0.000 5 22514 0.000 5 22514 0.00008:30 - 09:00

5 22514 0.000 5 22514 0.000 5 22514 0.00009:00 - 09:30

5 22514 0.000 5 22514 0.000 5 22514 0.00009:30 - 10:00

5 22514 0.000 5 22514 0.000 5 22514 0.00010:00 - 10:30

5 22514 0.000 5 22514 0.000 5 22514 0.00010:30 - 11:00

5 22514 0.000 5 22514 0.000 5 22514 0.00011:00 - 11:30

5 22514 0.000 5 22514 0.000 5 22514 0.00011:30 - 12:00

5 22514 0.000 5 22514 0.000 5 22514 0.00012:00 - 12:30

5 22514 0.000 5 22514 0.000 5 22514 0.00012:30 - 13:00

5 22514 0.000 5 22514 0.000 5 22514 0.00013:00 - 13:30

5 22514 0.000 5 22514 0.000 5 22514 0.00013:30 - 14:00

5 22514 0.000 5 22514 0.000 5 22514 0.00014:00 - 14:30

5 22514 0.000 5 22514 0.000 5 22514 0.00014:30 - 15:00

5 22514 0.000 5 22514 0.000 5 22514 0.00015:00 - 15:30

5 22514 0.000 5 22514 0.000 5 22514 0.00015:30 - 16:00

5 22514 0.000 5 22514 0.000 5 22514 0.00016:00 - 16:30

5 22514 0.000 5 22514 0.000 5 22514 0.00016:30 - 17:00

5 22514 0.000 5 22514 0.000 5 22514 0.00017:00 - 17:30

5 22514 0.001 5 22514 0.000 5 22514 0.00117:30 - 18:00

5 22514 0.000 5 22514 0.001 5 22514 0.00118:00 - 18:30

5 22514 0.000 5 22514 0.000 5 22514 0.00018:30 - 19:00

1 22270 0.000 1 22270 0.000 1 22270 0.00019:00 - 19:30

1 22270 0.000 1 22270 0.000 1 22270 0.00019:30 - 20:00

1 22270 0.000 1 22270 0.000 1 22270 0.00020:00 - 20:30

1 22270 0.000 1 22270 0.000 1 22270 0.00020:30 - 21:00

1 22270 0.000 1 22270 0.000 1 22270 0.00021:00 - 21:30

1 22270 0.000 1 22270 0.000 1 22270 0.00021:30 - 22:00

22:00 - 22:30

22:30 - 23:00

23:00 - 23:30

23:30 - 24:00

Total Rates: 0.001 0.001 0.002

This section displays the trip rate results based on the selected set of surveys and the selected count type (shown just

above the table). It is split by three main columns, representing arrivals trips, departures trips, and total trips (arrivals plus

departures). Within each of these main columns are three sub-columns. These display the number of survey days where

count data is included (per time period), the average value of the selected trip rate calculation parameter (per time

period), and the trip rate result (per time period). Total trip rates (the sum of the column) are also displayed at the foot of

the table.

To obtain a trip rate, the average (mean) trip rate parameter value (TRP) is first calculated for all selected survey days

that have count data available for the stated time period. The average (mean) number of arrivals, departures or totals

(whichever applies) is also calculated (COUNT) for all selected survey days that have count data available for the stated

time period. Then, the average count is divided by the average trip rate parameter value, and multiplied by the stated

calculation factor (shown just above the table and abbreviated here as FACT). So, the method is: COUNT/TRP*FACT. Trip

rates are then rounded to 3 decimal places.

Page 80: PARKSIDE LINK ROAD TRAFFIC MODELLING REPORT

TRICS 7.4.1 250317 B17.49 (C) 2017 TRICS Consortium Ltd Monday 24/04/17

Page 21

Gifford LLP Ringwood Road Southampton SO40 7HT Licence No: 727701

Parameter summary

Trip rate parameter range selected: 13500 - 32300 (units: sqm)

Survey date date range: 01/01/09 - 23/11/16

Number of weekdays (Monday-Friday): 5

Number of Saturdays: 0

Number of Sundays: 0

Surveys automatically removed from selection: 0

Surveys manually removed from selection: 4

This section displays a quick summary of some of the data filtering selections made by the TRICS® user. The trip rate

calculation parameter range of all selected surveys is displayed first, followed by the range of minimum and maximum

survey dates selected by the user. Then, the total number of selected weekdays and weekend days in the selected set of

surveys are show. Finally, the number of survey days that have been manually removed from the selected set outside of

the standard filtering procedure are displayed.

Page 81: PARKSIDE LINK ROAD TRAFFIC MODELLING REPORT

TRICS 7.4.1 250317 B17.49 (C) 2017 TRICS Consortium Ltd Monday 24/04/17

Page 22

Gifford LLP Ringwood Road Southampton SO40 7HT Licence No: 727701

This graph is a visual representation of the trip rate calculation results screen. The same time periods and trip rates are

displayed, but in addition there is an additional column showing the percentage of the total trip rate by individual time

period, allowing peak periods to be easily identified through observation. Note that the type of count and the selected

direction is shown at the top of the graph.

Page 82: PARKSIDE LINK ROAD TRAFFIC MODELLING REPORT

TRICS 7.4.1 250317 B17.49 (C) 2017 TRICS Consortium Ltd Monday 24/04/17

Page 23

Gifford LLP Ringwood Road Southampton SO40 7HT Licence No: 727701

This graph is a visual representation of the trip rate calculation results screen. The same time periods and trip rates are

displayed, but in addition there is an additional column showing the percentage of the total trip rate by individual time

period, allowing peak periods to be easily identified through observation. Note that the type of count and the selected

direction is shown at the top of the graph.

Page 83: PARKSIDE LINK ROAD TRAFFIC MODELLING REPORT

TRICS 7.4.1 250317 B17.49 (C) 2017 TRICS Consortium Ltd Monday 24/04/17

Page 24

Gifford LLP Ringwood Road Southampton SO40 7HT Licence No: 727701

This graph is a visual representation of the trip rate calculation results screen. The same time periods and trip rates are

displayed, but in addition there is an additional column showing the percentage of the total trip rate by individual time

period, allowing peak periods to be easily identified through observation. Note that the type of count and the selected

direction is shown at the top of the graph.

Page 84: PARKSIDE LINK ROAD TRAFFIC MODELLING REPORT

TRICS 7.4.1 250317 B17.49 (C) 2017 TRICS Consortium Ltd Monday 24/04/17

Page 25

Gifford LLP Ringwood Road Southampton SO40 7HT Licence No: 727701

TRIP RATE for Land Use 02 - EMPLOYMENT/F - WAREHOUSING (COMMERCIAL)

CYCLISTS

Calculation factor: 100 sqm

BOLD print indicates peak (busiest) period

ARRIVALS DEPARTURES TOTALS

No. Ave. Trip No. Ave. Trip No. Ave. Trip

Time Range Days GFA Rate Days GFA Rate Days GFA Rate

00:00 - 00:30

00:30 - 01:00

01:00 - 01:30

01:30 - 02:00

02:00 - 02:30

02:30 - 03:00

03:00 - 03:30

03:30 - 04:00

04:00 - 04:30

04:30 - 05:00

1 22270 0.000 1 22270 0.000 1 22270 0.00005:00 - 05:30

1 22270 0.000 1 22270 0.000 1 22270 0.00005:30 - 06:00

1 22270 0.000 1 22270 0.000 1 22270 0.00006:00 - 06:30

1 22270 0.000 1 22270 0.000 1 22270 0.00006:30 - 07:00

5 22514 0.002 5 22514 0.000 5 22514 0.00207:00 - 07:30

5 22514 0.001 5 22514 0.000 5 22514 0.00107:30 - 08:00

5 22514 0.004 5 22514 0.000 5 22514 0.00408:00 - 08:30

5 22514 0.007 5 22514 0.000 5 22514 0.00708:30 - 09:00

5 22514 0.003 5 22514 0.000 5 22514 0.00309:00 - 09:30

5 22514 0.002 5 22514 0.000 5 22514 0.00209:30 - 10:00

5 22514 0.000 5 22514 0.000 5 22514 0.00010:00 - 10:30

5 22514 0.000 5 22514 0.000 5 22514 0.00010:30 - 11:00

5 22514 0.000 5 22514 0.000 5 22514 0.00011:00 - 11:30

5 22514 0.000 5 22514 0.001 5 22514 0.00111:30 - 12:00

5 22514 0.000 5 22514 0.001 5 22514 0.00112:00 - 12:30

5 22514 0.001 5 22514 0.000 5 22514 0.00112:30 - 13:00

5 22514 0.003 5 22514 0.001 5 22514 0.00413:00 - 13:30

5 22514 0.002 5 22514 0.001 5 22514 0.00313:30 - 14:00

5 22514 0.001 5 22514 0.002 5 22514 0.00314:00 - 14:30

5 22514 0.000 5 22514 0.002 5 22514 0.00214:30 - 15:00

5 22514 0.004 5 22514 0.001 5 22514 0.00515:00 - 15:30

5 22514 0.002 5 22514 0.002 5 22514 0.00415:30 - 16:00

5 22514 0.000 5 22514 0.002 5 22514 0.00216:00 - 16:30

5 22514 0.003 5 22514 0.002 5 22514 0.00516:30 - 17:00

5 22514 0.001 5 22514 0.004 5 22514 0.00517:00 - 17:30

5 22514 0.001 5 22514 0.010 5 22514 0.01117:30 - 18:00

5 22514 0.001 5 22514 0.007 5 22514 0.00818:00 - 18:30

5 22514 0.000 5 22514 0.002 5 22514 0.00218:30 - 19:00

1 22270 0.000 1 22270 0.000 1 22270 0.00019:00 - 19:30

1 22270 0.000 1 22270 0.000 1 22270 0.00019:30 - 20:00

1 22270 0.000 1 22270 0.000 1 22270 0.00020:00 - 20:30

1 22270 0.000 1 22270 0.000 1 22270 0.00020:30 - 21:00

1 22270 0.000 1 22270 0.000 1 22270 0.00021:00 - 21:30

1 22270 0.000 1 22270 0.000 1 22270 0.00021:30 - 22:00

22:00 - 22:30

22:30 - 23:00

23:00 - 23:30

23:30 - 24:00

Total Rates: 0.038 0.038 0.076

This section displays the trip rate results based on the selected set of surveys and the selected count type (shown just

above the table). It is split by three main columns, representing arrivals trips, departures trips, and total trips (arrivals plus

departures). Within each of these main columns are three sub-columns. These display the number of survey days where

count data is included (per time period), the average value of the selected trip rate calculation parameter (per time

period), and the trip rate result (per time period). Total trip rates (the sum of the column) are also displayed at the foot of

the table.

To obtain a trip rate, the average (mean) trip rate parameter value (TRP) is first calculated for all selected survey days

that have count data available for the stated time period. The average (mean) number of arrivals, departures or totals

(whichever applies) is also calculated (COUNT) for all selected survey days that have count data available for the stated

time period. Then, the average count is divided by the average trip rate parameter value, and multiplied by the stated

calculation factor (shown just above the table and abbreviated here as FACT). So, the method is: COUNT/TRP*FACT. Trip

rates are then rounded to 3 decimal places.

Page 85: PARKSIDE LINK ROAD TRAFFIC MODELLING REPORT

TRICS 7.4.1 250317 B17.49 (C) 2017 TRICS Consortium Ltd Monday 24/04/17

Page 26

Gifford LLP Ringwood Road Southampton SO40 7HT Licence No: 727701

Parameter summary

Trip rate parameter range selected: 13500 - 32300 (units: sqm)

Survey date date range: 01/01/09 - 23/11/16

Number of weekdays (Monday-Friday): 5

Number of Saturdays: 0

Number of Sundays: 0

Surveys automatically removed from selection: 0

Surveys manually removed from selection: 4

This section displays a quick summary of some of the data filtering selections made by the TRICS® user. The trip rate

calculation parameter range of all selected surveys is displayed first, followed by the range of minimum and maximum

survey dates selected by the user. Then, the total number of selected weekdays and weekend days in the selected set of

surveys are show. Finally, the number of survey days that have been manually removed from the selected set outside of

the standard filtering procedure are displayed.

Page 86: PARKSIDE LINK ROAD TRAFFIC MODELLING REPORT

TRICS 7.4.1 250317 B17.49 (C) 2017 TRICS Consortium Ltd Monday 24/04/17

Page 27

Gifford LLP Ringwood Road Southampton SO40 7HT Licence No: 727701

This graph is a visual representation of the trip rate calculation results screen. The same time periods and trip rates are

displayed, but in addition there is an additional column showing the percentage of the total trip rate by individual time

period, allowing peak periods to be easily identified through observation. Note that the type of count and the selected

direction is shown at the top of the graph.

Page 87: PARKSIDE LINK ROAD TRAFFIC MODELLING REPORT

TRICS 7.4.1 250317 B17.49 (C) 2017 TRICS Consortium Ltd Monday 24/04/17

Page 28

Gifford LLP Ringwood Road Southampton SO40 7HT Licence No: 727701

This graph is a visual representation of the trip rate calculation results screen. The same time periods and trip rates are

displayed, but in addition there is an additional column showing the percentage of the total trip rate by individual time

period, allowing peak periods to be easily identified through observation. Note that the type of count and the selected

direction is shown at the top of the graph.

Page 88: PARKSIDE LINK ROAD TRAFFIC MODELLING REPORT

TRICS 7.4.1 250317 B17.49 (C) 2017 TRICS Consortium Ltd Monday 24/04/17

Page 29

Gifford LLP Ringwood Road Southampton SO40 7HT Licence No: 727701

This graph is a visual representation of the trip rate calculation results screen. The same time periods and trip rates are

displayed, but in addition there is an additional column showing the percentage of the total trip rate by individual time

period, allowing peak periods to be easily identified through observation. Note that the type of count and the selected

direction is shown at the top of the graph.