TRACCS: TRansport data collection supporting the quantitative Analysis of measures relating to transport and Climate Change

Transcription

1 TRACCS: TRansport data collection supporting the quantitative Analysis of measures relating to transport and Climate Change European Commission (DG Clima) project Jan Dec Bern, May 2012

2 Team and Key Responsibilities Emisia (GR) Co-ordination Road and non-motorized transport INFRAS (CH) Aviation and rail CH, AT, DE and HBEFA data for road IVL (SE) Waterborne transport Data for Sweden/Nordic countries 2

3 Key Project Objectives Transport Data Collection (stock, activity, economic) Produce multi-dimensional consistent data matrices for all transport modes Produce relevant indicators to summarize results Why? GHG, air pollutant emission modeling Environmental policy, impact on climate change 3

4 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

5 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

6 Current status Month 5 of project Main current activity: Data collection Task Month Road Pass Data Collection Processing Presentation 2 Road Freight Data Collection Processing Presentation 3 Aviation Data Collection Processing Presentation 4 Rail Data Collection Processing Presentation 5 Waterborne Data Collection Processing Presentation 6 Non-motor 7 Peer review Management Progress Reports Reports IN I1 I2 I3 DF F Meetings KO M1 M2 M3 FM Legend 1st Progress Report Main emphasis of activity Less emphasis on activity Task executed according to schedule 6

7 Data Collection Specifics Temporal Annual time-series, from Existing data for earlier years Pre-1990 not to be considered Spatial EU27 As much as possible candidates (Croatia, FYROM, Iceland, Turkey, Norway, Switzerland) 7

8 Description of road transport dataset Vehicle Classification according to main criteria Vehicle Category Vehicle type Propulsion Mopeds/Motorcycles (L) 2-stroke, 4-stroke Passenger Cars (M1) Buses (M2, M3) Light Commercial Vehicles (N1) Heavy Goods Vehicles (N2, N3) Market Segment (small, compact, medium, large, luxury, MPV, SUV, or any other similar segmentation) Urban, Coach N1/I N1/II N1/III GVW types as per COPERT/HBEFA (Rigid from 7.5t to >32t, Articulated from 14-20t to 50-60t) Gasoline Petrol, Diesel, LPG, CNG, Flexifuel (E85), Gasoline Hybrid Diesel, LPG, CNG/Biogas, B30 Petrol, Diesel, LPG, CNG, Flexifuel (E85), Gasoline Hybrid Petrol, Diesel Additionally: Age distribution of vehicles. Ownership of passenger cars (corporate, self-employed professional, private). 8

9 Description of road transport dataset Data Required Data type Number of vehicles New registrations / De-registrations Second hand registrations Activity data Price and VAT Registration and Ownership taxes Insurance, Operation, Maintenance, and Toll costs Labour cost Short Explanation Number of operating vehicles in stock, classified by age Annual new registrations / Vehicles exiting the stock, per age Registrations of second-hand vehicles, according to age Mileage/passenger-km/vehicle-km/tonne-km (per age) Purchase cost per vehicle type Per vehicle type Per vehicle type For drivers of commercial vehicles 9

10 What has been collected so far? 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 10

11 Next step Collection of national data Main source: National statistics web sites Time-consuming process Difficult to discover the appropriate data Various data formats (.pdf,.xls,.mdb, etc.) 11

12 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

13 Thank you for your attention! For more information on the project, please visit 13