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Indicator Specification
Transport is one of the main sources of greenhouse gases and also gives rise to significant air pollution, which can seriously damage human health and ecosystems. The indicator helps to understand developments in the passenger transport sector (transport's 'magnitude' and transport patterns), which in turn explains observed trends in transport's impact on the environment.
The relevance of the modal split policy for environmental impact of passenger transport arises from differences in environmental performance (resource consumption, greenhouse gas emissions, pollutant and noise emissions, land consumption, accidents etc.) of transport modes. These differences are becoming smaller on a passenger-km basis, which makes it increasingly difficult to determine the direct and future overall environmental effects of modal shifting. The total environmental effect of modal shifting can in fact only be determined on a case-by-case basis, where local circumstances and specific local environmental effects can be taken into account (e.g. transport in urban areas or over long distances).
The outlook presents plausible future of transport developments in pan-European region and can be used for estimation of passenger transport impact on environment (particularly when it comes to transport contribution to climate change). It helps to assess achievability of targets and identify appropriate policy response options for making transportation more sustainable.The indicator "projected passenger transport demand from OECD environmental outlook" is presented as the European transport activity by modal split (passenger cars and motorcycles). The indicator covers the period of 1990 - 2020 with 5 year intervals, in billion vehicle kilometer traveled.
Billion vehicle kilometer traveled
The large number of non binding policy instruments have been developed under fora such as Environment for Europe process, the European Council of Ministers of Transport (ECMT) and the UNECE/WTO Transport, Health and Environment Pan-European Programme (The PEP). The PEP was set up to address the key challenges to achieve more sustainable transport patterns and a closer integration of environmental and health concerns into transport policies.
Reducing the link between transport growth and GDP is a central theme in EU transport policy for reducing the negative impacts from transport:
Shifting transport from road to rail is an important strategic element in the EU transport policy. The objective was first formulated in the Sustainable Development Strategy (SDS). In the review of the T&E integration strategy in 2001 and 2002, the Council states that the modal split should remain stable for at least the next ten years, even with further traffic growth.
In the White Paper on the Common Transport Policy (CTP) "European Transport Policy for 2010: Time to Decide", the modal shift is central and the Commission proposes measures aimed at the modal shift.
The White Paper on the Common Transport Policy also says that common transport policy alone will not provide all the answers. It must be part of an overall strategy integrating sustainable development, to include: a) economic policy and changes in the production process that influence demand for transport; b) land-use planning policy and in particular town planning; c) social and education policy; d) urban transport policy; e) budgetary and fiscal policy to, to link the internalisation of external, and especial environmental, costs with competition of trans-European network; f) competition policy, to ensure, in line with the objectives of high-quality public services, and in particularly in rail sector, that the opening-up of market is not harmed by the dominant companies already present on market; g) research policy for transport in Europe.
The European Neighbourhood Policy stressed that generating more trade and tourism between the Union and its neighbours, requires efficient, multimodal and sustainable transport systems. EU should develop an Actions plan for cooperation with its neighbors to improve the physical transport networks connecting the Union with neighboring countries, to step up aviation relations with partner countries with the aim to open up markets and to co-operate on safety and security issues. The Action Plans will also contain specific provisions to address the vulnerability of transport networks and services vis-A-vis terrorist attacks. The highest attention will be paid to enhance the security of air and maritime transport.
EECCA Environmental Strategy recognizes the need to incorporate environmental concerns into transport policies and sets this action as one of the Strategy objectives.
One of the actions selected by THE PEP is 'demand side management and modal shift and with special attention to the needs of the countries of Eastern Europe, Caucasus and Central Asia (EECCA) and of South-Eastern Europe, as well as issues related to ecologically particularly sensitive areas'.
Structural goals and targets
GlobalPan-European level
EU
Efficiency targets
EU
EECCA
Link to other policy goals and targets
Pan-European
EU
'introduction of road pricing' (EU Sust. Dev. Strategy, 2001)
"promoting measures to reflect the full environmental costs in the price of transport" (6EAP)
Promote more balanced regional development (EU 2001 Sust. Dev. Strategy)
Link sea, inland water and rail transport
Improve efficiency of intermodal services (2001 White Paper on Transport)
EECCA
The projections of the European transport activity by modal split are based on the results of the MOVE II model under reference case scenario presented in the OECD Environmental Outlook, 2001.
The outputs of the following models are used as an input in MOVE II model:
- JOBS for economic developments
- MOBILE 6, COPERT and others for detailed emission calculations
The system is based on a calculation of the number of kilometers driven in a given region for each technology and each vehicle type in a given calendar year. For a given region and vehicle type, the age distribution vehicles were also estimated. Based on the age distribution, and knowledge of the emissions standards adopted or expected to be adopted in each country, a table was created which determined the technology type for each model year, the number of vehicles of that technology type in a given calendar year and the number kilometers driven by vehicles using that technology. Vehicle categories included light duty gasoline vehicles (passenger cars), light duty diesel vehicles, light duty gasoline trucks (including so called sport utility vehicles), light diesel trucks, heavy duty gasoline trucks and buses and motorcycles (including scooters). Emissions of each pollutant (CO, VOC, NOx, N2O, CH4 and PM were then combined for each vehicle type for calendar years between 1990 and 2030. The emissions were calculated with the results of the detailed emission calculation models (e.g. MOBILE 6, COPERT an others).
The three primary drivers leading to increases in world's vehicle fleets are population growth, increased urbanization and economic improvements. The development of these drivers for the reference case was projected based on the eco-classical equilibrium model JOBS (see more about the model here).
Reference scenario:
The Reference Scenario is based on current activities and trends. It does not take into account the adoption or implementation of new policies.
The base year for the outlook was 1995. The historical data for the vehicle stock were takes from the OECD statistics for OECD countries. Statistics for other regions where taken from the UNECE and The International Organization of Motor Vehicle Manufacturers. The total fuel use and fuel split was taken from the IEA statistics (based on the phone interview with Mr. Peter Wiederkehr).
The base year data used in JOBS model were mostly taken from GTAP (Global Trade Analysis Project, Version 4) data base developed by Purdue University with 1995 as a base year. In addition to the base year data, assumptions are made in the Reference Scenario concerning:
- total GDP developments (based on OECD Economic Developments projections);
- population growth (based on UN median fertility estimations).
1) Ideally one would calculate emissions for each country of the world separately, recognizing the reality that every country is different at least in some important respects. However, such an approach would be prohibitively burdensome and time consuming. Instead the World was divided into regions where the similarities between them were broad enough to provide reasonable emissions estimates. Major factors which were considered were emissions regulations, vehicle types, economic conditions and growth forecast, etc.
2) The data for vehicle stock in non-OECD regions is rather poor. In order to fill the gap the UNECE data were combined with the data from the International Motor Vehicle Association.
In order to answer the specific policy question: 'Is there in Europe a trend of reduction of car passenger transport and increase of rail passenger transport in total inland passenger transport in relative to other modes?' a modal split of a passenger transport should be presented for all transport categories. In the existing in OECD Outlook 2001 data the passenger transport include only road transport. Information for the rail passenger transport as well maritime transport is missing. It should also be noted that the modal spilt data are presented at the global level. Should the methodology spreadsheets be available it should be possible to obtain these data.
Model related uncertainty: The Move II model is static in the sense that all changes are introduced by the user. This provides on the one hand more flexibility to the user, but on the other hand, no checks for consistency or plausibility of the changes are done by the model. (based on the phone interview with Mr. Peter Wiederkehr).
1) Input data to Move II model:
The historical data taken from the international sources for the countries of the Former Union were not always accurate; some assumptions had to be made. It is unclear what these assumptions were. (based on the phone interview with Mr. Peter Wiederkehr).
More on the uncertainties regarding input data can be found in the Outlook indictors from IEA/SPM model.
2) Output data from MOVE II model:
In the OECD Environmental outlook the outlook data for transport activity by modal split is presented at global level. Disaggregated datasets for Europe should be requested.
No uncertainty has been specified
Work specified here requires to be completed within 1 year from now.
Work specified here will require more than 1 year (from now) to be completed.
For references, please go to https://www.eea.europa.eu/data-and-maps/indicators/passenger-transport-demand-outlook-from-oecd or scan the QR code.
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