mm road works matching session

Leuven, NFP meeting, 26th October 2010

Mobility management and road maintenance

Dutch experiences and lessons learnedFriso Metz, KpVV

2

Message

“Eén calamiteitgeeft meer profijt dan tien jaar beleid”

“One calamitygives more benefitsthan 10 years of policy”

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Issues

1. History & cases

2. Development of tools

3. Knowledge transfer

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PART I: History & cases

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Brief History of MM and road construction

I Before 2002: Rijkswaterstaat: typical engineering organisation

II 2002-2005: Experiments with MM

III 2005-2009: Focus on nuisance reduction

IV 2009-: Structural organisation: from projects to networks

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Amsterdam: A10 West

Amsterdam: A9 Orbital

A6 Dutch Bridge

A16 Moerdijk bridge

Maastricht A2 corridor

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I (-2002) Starting point

Rijkswaterstaat (RWS): National Road authority- Agency of the minstry of Transport and Water Management

- Engineering organisation- Road works: only the quality of the road works count- No focus on the impacts- ‘many small road works’, temporary closure of traffic lanes

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Experiment 1: A10 West 2002

- Large maintenance project- Choice: long project with a ‘bit suffering’ vs short period of

much suffering- Closing large parts of the A10 West was more efficient and safer- Implementation during holiday time

Communication: - ‘huge traffic disaster’

Some MM measures

Results- A10 miracle: no traffic jam- People took their own responsibility- MM measures hardly used

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Experiment 2: A9 orbital (2005)

Employees on time Employees in traffic

jam

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Experiment 2: A9 orbital (2005)

- Reduced capacity/ closure of exits- Southeast business parks (50.000 employees) affected- RWS: even in holiday period, large traffic jams- Cooperation RWS + Verkeer.advies: involving business sector- Traffic management: alternative roads- Mobility management package

- Southeast-pass: all PT solutions in one pass- Personal travel advise- Webcams

- Goal: 5000 less cars each day- Results:17.000 employees received a pass; 3700 used it- 3700 less cars each day- Target has been reached: no extra nuisance

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II (2002-2005) Experiments

Results:- High awareness that MM works- Many road works ahead- Minister of transport: reduce nuisance- MM obligation during large road works

High interest, but lack of coherence between:- Planning and design (construction process)- Traffic management- Mobility management- Communication- Guidelines (didn’t match / did not exist)

RWS (DVS): - MM team giving support to all projects- Development of tools- Cooperation with KpVV

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III 2005-2009: Focus on nuisance reduction

RWS: guidelines MM during roadworkscoordination between guidelines communication – MM –traffic management – road maintenance

- terminology and termsTarget: max 6% extra hindrance during road works

Cooperation with NS (national railway company)Struggle: cost effectiveness

(Wegwijs A2)

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IV 2009-: Structural organisation

- Toekan & Sumo method- ‘Minder Hinder’: integration of guidelines- Integration of MM in larger context- Measures:

1 Smart planning of road works

2 Smart design

3 Mobility Management

4 Traffic management

5 Communication

6 User oriented implementation

7 Regional cooperation

con

tract

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A6 Dutch Bridge

Overall goals Less nuisance for road users

Traffic jams are not longer in the morning peak (A6 ->

Amsterdam)

No extra congestion at A27

1500 less cars during the morning peak

Target groups Car drivers using the A6 bridge >= 3 times/ week

Services

provided

Letter to car users (license plate registration)

Personal advise (FileMijden/ A6 pass

News letters, media, website, helpdesk

Mobility option

offered

Not travelling by car over the A6 bridge in the

morning rush hour

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A6 Dutch BridgeSUMO Assessment levels results

seriv

es

A Useful activities Communication to 18.931 car drivers (100%)

B Awareness

C Usage of mobility services

6.496 car users show interest

(34%)

D Satisfaction with mobility services

Op

tion

s o

ffere

d

E Acceptance FileMijden: 2.875 aanmeldingen

(15 %)

A6 pass: 845 bestellingen (4%)

F Experimental behaviour

FileMijden A6: : 2.702 tries to avoid rush hours; 173 of them

drop off: (88 %)

A6 pass: 719 try it; 110 return it/ <12 times on the bridge

(85%)

G Satisfaction FileMijden A6 : 2.300 participants are satisfied

(80 %)

A6 pass: 597 participants are satisfied

(71 %)

eff

ects

H New behaviour temporary measures; more awareness of travelling outside rush

hours, teleworking and PT

I System impact FileMijden avg 425 less cars in peak hour (32% of total)

A6 pas avg 330 less cars in peak hour (24% of total)

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A6 Dutch BridgeSUMO Assessment levels results

seriv

es

A Useful activities Communication to 18.931 car drivers (100%)

B Awareness

C Usage of mobility services

6.496 car users show interest

(34%)

D Satisfaction with mobility services

Op

tion

s o

ffere

d

E Acceptance FileMijden: 2.875 aanmeldingen

(15 %)

A6 pass: 845 bestellingen (4%)

F Experimental behaviour

FileMijden A6: : 2.702 tries to avoid rush hours; 173 of them

drop off: (88 %)

A6 pass: 719 try it; 110 return it/ <12 times on the bridge

(85%)

G Satisfaction FileMijden A6 : 2.300 participants are satisfied

(80 %)

A6 pass: 597 participants are satisfied

(71 %)

eff

ects

H New behaviour temporary measures; more awareness of travelling outside rush

hours, teleworking and PT

I System impact FileMijden avg 425 less cars in peak hour (32% of total)

A6 pas avg 330 less cars in peak hour (24% of total)

Rush hour avoidancedriving outside rush hours 33 %alternative route 17 %avoiding bridge all day 14 %using bridge in rush hour 13 %use of 11 %teleworking 8 %cycling 3 %cancelling meetings 1 %

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A16 Moerdijk bridge: cost benefit analysis

Measures:Filemijden, information about alternative routes, P+R

(x € 1000) Costs Benefits ResultsFilemijden 840 1365 + PM + 525 + PMInformation 745 947 + PM + 202 + PMP+R 360 56 - 304

Totaal 1945 2368 423 + PM

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Calculation of MM targets

1000

1. Scope

Extra 200 door goede publieks-

communicatie

3. Contractering

4. Uitvoerin

g

Tijd (indicatief)

Toenemende publiekscommunicatieCommunicatie nog hoofdzakelijk tussen direct betrokkenen en

participanten

5. Evaluatie en nazorg

2. Voorbereiding uitvoering

0- 9 mnd- 15 mnd- 24 mnd

Bruto verkeershinder

Ca. 6000 voertuigen

Toegestane

netto-hinder

Opgave VM

2000

Opgave MM

500

5000

1800

800 Verwachte netto-hinder

5000

1600

600 Gerealiseerd

e netto-hinder

2500 2400 2200

200

400 minder gehinderde

voertuigen door nog slimmer uitvoeren

400

Slim Bouwen

T o e kan

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PART II: Development of tools

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Toekan: 4 ways of influencing mobility behaviour

20% 40% 60% 80% 100%0%

Cancelling of trips

Alternative route

Alternative time

Alternative travel modePotency for behaviour changePotency for behaviour change

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Real time travel information

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Toekan method

steps interaction with

1 getting the challenge clear road maintainers

2 market segmentation3 estimating potency of measures road maintainers

+

4 strategy for behaviour change companies + PT +

5 selection of measures logistics

analy

sis

exp

ert

sd

eci

ders

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2 Market segmentation

Maastricht

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3 Estimating potency of measures

Home to work

Business trips

Leisure trips

Freight transport

Alternative route

Alternative modality

Cancellingtrips

Alternative time

Home to work

Business trips

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3 Estimating potency of measures

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•Working with Toekan gives better results•Step by step approach makes clear what to do•No overkill of measures•Satisfied road users•Tool for cooperation with partners

Use of Toekan results in clear measures

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PART III: Knowledge transfer

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Differences between sites

Areas: near businessparks // near residential areasFocus: employers vs. Road usersPartners: companies/ PT operators/ travel card suppliers

Measures: PT passesTeleworkingPeak hour avoidanceCommunicationAlternative routesNew buslinesVanpools

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Organisation

Structure and responsibilities

Maastricht

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Organisation

Maastricht

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Succes factors

•People who dared to experiment•Urgency is extremely high• It’s easier to change travel behaviour during a short period

•Political support•RWS: shift from technical department to user orientation•DVS team: sharing knowledge•Professionalisation: developing tools•Funding•Budget for evaluation•Partnerships with local governments + PT operators