TRACCS: TRansport data collection supporting the quantitative Analysis of

measures relating to transport and Climate Change

European Commission (DG Clima) project

Jan. 2012 – Dec. 2013

Bern, May 2012

Team and Key Responsibilities

Emisia (GR)Co-ordinationRoad and non-motorized transport

INFRAS (CH)Aviation and railCH, AT, DE and HBEFA data for road

IVL (SE)Waterborne transportData for Sweden/Nordic countries

2

Key Project Objectives

Transport Data Collection (stock, activity, economic)

Produce multi-dimensional consistent data matrices

Produce relevant indicators to summarize results

Why?GHG, air pollutant emission modeling

Environmental policy, impact on climate change

3

Project Structure

Task 1: Road passenger transport

Task 2: Road freight transport

Task 3: Airborne transport

Task 4: Rail transport

Task 5: Waterborne transport

Task 6: Non-motorized transport

Task 7: Peer review of data

4

General Approach for Tasks 1-6

A. Data collection• Identification of sources and contacts• Similar projects, existing models, new data

B. Data streamlining• QA/QC procedures• Visual check, gap filling, error correction,

reconciliation module, time series analysis

C. Data presentation• Description of final dataset• Consistent matrices, relevant indicators

5

Current status

6

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 241 Road Pass

Data CollectionProcessingPresentation

2 Road FreightData CollectionProcessingPresentation

3 AviationData CollectionProcessingPresentation

4 RailData CollectionProcessingPresentation

5 WaterborneData CollectionProcessingPresentation

6 Non-motor7 Peer review

ManagementProgress Reports 1 2 3 4 5 6Reports IN I1 I2 I3 DF FMeetings KO M1 M2 M3 FM

LegendMain emphasis of activityLess emphasis on activityTask executed according to schedule

Task Month

1st Progress Report

• Month 5 of

project

• Main current

activity:

Data

collection

Data Collection Specifics

TemporalAnnual time-series, from 2005-2010Existing data for earlier yearsPre-1990 not to be considered

SpatialEU27As much as possible candidates (Croatia, FYROM, Iceland, Turkey, Norway, Switzerland)

7

Description of road transport dataset

8

Vehicle Category Vehicle type PropulsionMopeds/Motorcycles (L)

2-stroke, 4-stroke Gasoline

Passenger Cars (M1)

Market Segment (small, compact, medium, large, luxury, MPV, SUV, or any other similar segmentation)

Petrol, Diesel, LPG, CNG,Flexifuel (E85), Gasoline Hybrid

Buses (M2, M3) Urban, CoachDiesel, LPG, CNG/Biogas, B30

Light Commercial Vehicles (N1)

N1/IN1/IIN1/III

Petrol, Diesel, LPG, CNG,Flexifuel (E85), Gasoline Hybrid

Heavy Goods Vehicles (N2, N3)

GVW types as per COPERT/HBEFA (Rigid from ≤7.5t to >32t, Articulated from 14-20t to 50-60t)

Petrol, Diesel

Vehicle Classification according to main criteria

Additionally:

Age distribution of vehicles. Ownership of passenger cars (corporate, self-employed professional, private).

Description of road transport dataset

9

Data type Short Explanation

Number of vehiclesNumber of operating vehicles in stock, classified by age

New registrations / De-registrations

Annual new registrations / Vehicles exiting the stock, per age

Second hand registrations

Registrations of second-hand vehicles, according to age

Activity dataMileage/passenger-km/vehicle-km/tonne-km (per age)

Price and VAT Purchase cost per vehicle type

Registration and Ownership taxes

Per vehicle type

Insurance, Operation, Maintenance, and Toll costs

Per vehicle type

Labour cost For drivers of commercial vehicles

Data Required

What has been collected so far?

10

Public available data from:Eurostat (stock of vehicles, new registrations, traffic, activity data, other)

ACEA (new registrations)

ACEM (stock and new registrations)

ANFAC European Motor Vehicle Parc (vehicles in use, de-registrations, other)

Car price reports by EC

Main problems:Major gaps (countries, years, etc.)Different formats, classification/categorization

Next step

Collection of national data

Main source: National statistics web sites

11

Time-consuming process

Difficult to “discover” the appropriate

data

Various data formats (.pdf, .xls, .mdb,

etc.)

What we need from countries

Close collaboration with specific persons

Contribution with available national data to the best possible degree (.xls preferred, .mdb, etc.)

National reports and other relevant sources

Correspond to our invitation letter (by June 30)

12

Thank you for your attention!

13

For more information on the

project, please visit

http://traccs.emisia.com