European approaches to transport data collection and analysis for strategic policy and impact evaluation


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Presentation by Ricardo-AEA's Transport Practice Director, Sujith Kollamthodi.
Presented at the Transport Research Board 92nd Annual Meeting, Wednesday 16 January, Washington DC

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European approaches to transport data collection and analysis for strategic policy and impact evaluation

  1. 1. European approaches to transport data collectionand analysis for strategic policy and impactevaluationTRB 92nd Annual MeetingSession 824: Transport data program development: International bestpractices – Part 216th January 2013Sujith KollamthodiPractice Director – Sustainable TransportRicardo-AEA Limited
  2. 2. Overview• Ricardo-AEA is responsible for annually compiling the UK’s National Atmospheric Emissions Inventory• Key part of this is the road transportation emissions inventory• Complexity of the road transportation sector means that multiple data sources are required to provide accurate estimates• New techniques and data sources are enabling us to make significant improvements to these inventories
  3. 3. Basic methodology Emissions from each = Emission Factor X Activity vehicle type (Tonnes per year) (grams/km or g/kg fuel (vkm traveled or kg fuel consumed) 1.4 1.2 NOx (g/km) 1.0 0.8Emission factor 0.6determinants: 0.4 0.2•pollutant type Emission 0.0•vehicle type factors 0 50 100 150•vehicle size (engine •hot exhaust Speed (kph)size/weight) •cold start•vehicle age •evaporative•retrofit technology EMISSIONS•fuel type•fuel quality • tonnes/yr (UK)•fuel volatility Activity data • 1x1 km maps•speed •km traveled/yr•temperature •fuel•degradation consumption/yr •trip length
  4. 4. Road transport inventory – coverageand level of disaggregationPollutants • CO2, CH4, N2O, Fuel consumption • NOx, PM10, PM2.5, CO, VOCs, benzene, 1,3- butadiene, SO2, NH3, primary NO2, PAHs…Vehicle types • Petrol and diesel cars • Petrol and diesel vans • Rigid and artic HGVs • Buses and coaches • MotorcyclesRoad types • Urban • Rural • Motorway
  5. 5. Activity data Annual vehicle km data • Department for Transport (DfT) traffic census: for Great Britain, with disaggregation for England, Scotland, Wales Vehicle Speed data • DfT traffic census Vehicle sales and fleet composition data (DfT Licensing Statistics) • % diesel cars • % by age (to derive fleet composition by emissions standard) • Technology, retrofits Fuel consumption data from UK official fuel sales statistics • Gasoline, diesel, LPG , natural gas • Bottom-up estimates reconciled with top-down fuel sales data
  6. 6. Road traffic by vehicle type and roadclassRoad traffic by vehicle type and road class in Great Britain 2011 (Billion vehicle kilometers) Cars and Motor- Buses & Goods All motor taxis cycles coaches Light vans vehicles vehiclesMotorways 2 75.0 0.4 0.4 12.5 11.2 99.5Rural A roads: Trunk 3 44.3 0.4 0.3 7.9 5.2 58.1 Principal 66.2 0.8 0.6 11.4 4.1 83.1 All rural A roads 110.5 1.1 0.9 19.3 9.3 141.2 1Urban A roads: Trunk 3 4.3 - - 0.7 0.3 5.4 Principal 60.5 0.8 1.1 9.2 2.3 73.9 All urban A roads 64.7 0.8 1.2 9.9 2.6 79.3 4All major roads 250.3 2.4 2.5 41.7 23.0 319.9Minor roads: Minor rural roads 52.8 0.8 0.5 10.8 1.4 66.3 Minor urban roads 1 84.3 1.5 1.7 14.0 1.2 102.7 All minor roads 137.1 2.3 2.1 24.9 2.6 169.0ALL ROADS 387.4 4.6 4.7 66.6 25.6 488.9 Information required by 31st August each year: all years back to 1990 on a consistent basis
  7. 7. Mapping fuel use and emissions Emissions mapped using • OS UK Road Network Links • DfT traffic census count-point data • Speed data from automatic traffic counters OS Road Network • VKM traveled statistics DfT Traffic Links Flows & VKM Implied UK-average emission factors for Average Emission Factors by many different road types Road Type • 1x1 km emission maps • Local Authority Fuel Use Statistics to support provision of sub-national energy trends • Local Authority CO2 end user emissions
  8. 8. Scoping Study on use of AutomaticNumber Plate Recognition (ANPR)data Current situation • Vehicle fleet composition estimates based on licensing data, vehicle survival functions, mileage-with-age profiles • No regional or road-type variations, except assumption that higher mileage for diesel cars on rural roads/motorways than on urban roads NAEI analysis of ANPR data • Variation in petrol/diesel car mix by region and road type • Variation in age distribution for cars, vans and heavy duty trucks by region and road type
  9. 9. Scoping Study on use of AutomaticNumber Plate Recognition (ANPR)data ANPR data: Proportion of car fleet on urban roads comprising diesel cars in different regions of the UK: 2007-2010 East of England 40% East Midlands London 35% North East North West 30% South East South West West Midlands 25% Yorkshire/Humber Scotland 20% 2006 2007 2008 2009 2010 Wales
  10. 10. Benefits of using ANPR data Improved emissions for both AQ and GHG inventories Country-specific Improved fleet inventories for GHG composition emissions from road data transport Improvements to the UK’s National Transport Model and Improvements to Local road scheme Authority Air Quality assessment tools Review and Assessments, Air Quality Action Plans and Local Authority CO2 inventories
  11. 11. Summary • UK road transportation emissions inventory relies on a huge amount of traffic and vehicle data supplied by the UK Department for Transport • Continuous improvement of the methodologies used means that the current approach has a high level of accuracy • ANPR data can help further improve transportation inventories by providing better resolution at the regional and local level
  12. 12. Sujith KollamthodiPractice Director – Sustainable TransportRicardo-AEA LimitedThe Gemini BuildingFermi AvenueHarwellOxfordshireOX11 0QRUnited KingdomTel: +44 (0)870 190 6513E: sujith.kollamthodi@ricardo-aea.comW: http://www.ricardo-aea.comCopyright Ricardo-AEA LtdThis presentation is submitted by Ricardo-AEA. It may not be used for any other purposes, reproduced in whole or in part,nor passed to any organisation or person without the specific permission in writing of the Commercial Manager, Ricardo-AEA Ltd.