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Modelling effects of policy instruments for sustainable urban transport in Scandinavia

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The purpose of this paper is to review the modelling used for the planning of infrastructure and design of policy instruments for transport in cities in Scandinavia, and to survey elasticities of transport demand with respect to policy instruments and important background variables. There are a number important objectives governing policy, maximizing welfare, reducing CO2 and other emissions, curbing congestion on roads and crowding in public transport in cities and improving the conditions for walking and cycling. The current transport demand models in Sweden and Norway were originally built to serve the purpose of forecasting for national infrastructure planning, primarily outside cities. They were not designed to represent the adaption of car use, congestion on roads or crowding in public transport or the effects of improving of conditions for walking and cycling. Therefore, recent discussions on the needs to develop planning for cities has raised these issues. The central results from the survey of effects are that, car use is shown to be more price sensitive in urban than in rural areas, and larger the larger the city. Although the benefits of a given congestion charging system are considerably and non-linearly dependent on initial congestion levels, traffic effects and adaptation costs are surprisingly stable across transport system modifications. The demand for car travel is largely insensitive to supply of public transport and on baseline congestion, and therefore on the total benefit of the charges. For public transport both population size and population density appear to independently influence public transport use. The estimated elasticities being 0,48 and 0,17 respectively. What is not obvious is when supply could improve net welfare. Both an increase in the population and the following crowding can motivate an increase in frequency by the increased net welfare. Large dense cities with more public transport are found to have less car use. The form of the city and its long time use of strategies to facilitate public transport use also decreases the market share of car travel and increases the share of public transport. In large cities density is also found to be correlated with less car and energy use in many cross-sectional studies. The idea that density could induce less car use and CO2-emissions is however challenged by a smaller number of longitudinal studies showing smaller effects from density to car use and CO2-emissions. It has been suggested that some of the effects found in cross sectional studies may not remain in before and after studies. Even though land use policies can be beneficial, their effects are generally less well known than policies addressing transport congestion externalities. As these are better known and likely to be welfare improving the effects of policy instruments associated with congestion pricing, parking pricing, improvements of the supply of public transport are likely to be preferable.

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  • Pyddoke, Roger, 2016. "Modelling effects of policy instruments for sustainable urban transport in Scandinavia," Working papers in Transport Economics 2016:29, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
  • Handle: RePEc:hhs:ctswps:2016_029
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    File URL: http://www.transportportal.se/swopec/CTS2016-29.pdf
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    1. Fu, Miao & Andrew Kelly, J. & Peter Clinch, J. & King, Fearghal, 2012. "Environmental policy implications of working from home: Modelling the impacts of land-use, infrastructure and socio-demographics," Energy Policy, Elsevier, vol. 47(C), pages 416-423.
    2. Alex Anas & Richard Arnott & Kenneth A. Small, 1998. "Urban Spatial Structure," Journal of Economic Literature, American Economic Association, vol. 36(3), pages 1426-1464, September.
    3. Larson, William & Liu, Feng & Yezer, Anthony, 2012. "Energy footprint of the city: Effects of urban land use and transportation policies," Journal of Urban Economics, Elsevier, vol. 72(2), pages 147-159.
    4. Börjesson, Maria & Fosgerau, Mogens & Algers, Staffan, 2012. "On the income elasticity of the value of travel time," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(2), pages 368-377.
    5. Reid Ewing & Robert Cervero, 2010. "Travel and the Built Environment," Journal of the American Planning Association, Taylor & Francis Journals, vol. 76(3), pages 265-294.
    6. Hensher, David A. & King, Jenny, 2001. "Parking demand and responsiveness to supply, pricing and location in the Sydney central business district," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(3), pages 177-196, March.
    7. van Ommeren, Jos & Russo, Giovanni, 2014. "Time-varying parking prices," Economics of Transportation, Elsevier, vol. 3(2), pages 166-174.
    8. Michael L. Anderson, 2014. "Subways, Strikes, and Slowdowns: The Impacts of Public Transit on Traffic Congestion," American Economic Review, American Economic Association, vol. 104(9), pages 2763-2796, September.
    9. Gilles Duranton & Matthew A. Turner, 2011. "The Fundamental Law of Road Congestion: Evidence from US Cities," American Economic Review, American Economic Association, vol. 101(6), pages 2616-2652, October.
    10. Hensher, David A., 2008. "Assessing systematic sources of variation in public transport elasticities: Some comparative warnings," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(7), pages 1031-1042, August.
    11. Gerard de Jong & Hugh Gunn, 2001. "Recent Evidence on Car Cost and Time Elasticities of Travel Demand in Europe," Journal of Transport Economics and Policy, University of Bath, vol. 35(2), pages 137-160, May.
    12. Almroth, Andreas & Berglund, Svante & Canella , Olivier & Engelson, Leonid & Flötteröd, Gunnar & Jonsson, Daniel & Kristoffersson, Ida & West, Jens, 2014. "Further development of SAMPERS and modeling of urban congestion," Working papers in Transport Economics 2014:10, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    13. van Ommeren, Jos & Wentink, Derk & Dekkers, Jasper, 2011. "The real price of parking policy," Journal of Urban Economics, Elsevier, vol. 70(1), pages 25-31, July.
    14. De Vos, Jonas & Witlox, Frank, 2013. "Transportation policy as spatial planning tool; reducing urban sprawl by increasing travel costs and clustering infrastructure and public transportation," Journal of Transport Geography, Elsevier, vol. 33(C), pages 117-125.
    15. May, Anthony D. & Kelly, Charlotte & Shepherd, Simon, 2006. "The principles of integration in urban transport strategies," Transport Policy, Elsevier, vol. 13(4), pages 319-327, July.
    16. Jussila Hammes , Johanna & Pyddoke , Roger & Swärdh, Jan-Erik, 2016. "The influence of public transport supply on private car use in 17 mid-sized Swedish cities from 1997 to 2011," Working papers in Transport Economics 2016:25, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    17. Beaudoin, Justin & Farzin, Y. Hossein & Lin Lawell, C.-Y. Cynthia, 2015. "Public transit investment and sustainable transportation: A review of studies of transit's impact on traffic congestion and air quality," Research in Transportation Economics, Elsevier, vol. 52(C), pages 15-22.
    18. Eliasson, Jonas & Hultkrantz, Lars & Nerhagen, Lena & Rosqvist, Lena Smidfelt, 2009. "The Stockholm congestion - charging trial 2006: Overview of effects," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(3), pages 240-250, March.
    19. Robert Cervero & Jin Murakami, 2010. "Effects of Built Environments on Vehicle Miles Traveled: Evidence from 370 US Urbanized Areas," Environment and Planning A, , vol. 42(2), pages 400-418, February.
    20. Ruiz Estrada, Mario Arturo, 2011. "Policy modeling: Definition, classification and evaluation," Journal of Policy Modeling, Elsevier, vol. 33(4), pages 523-536, July.
    21. Eliasson, Jonas & Pyddoke, Roger & Swärdh, Jan-Erik, 2018. "Distributional effects of taxes on car fuel, use, ownership and purchases," Economics of Transportation, Elsevier, vol. 15(C), pages 1-15.
    22. Gyourko, Joseph & Molloy, Raven, 2015. "Regulation and Housing Supply," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 1289-1337, Elsevier.
    23. Pyddoke, Roger & Swärdh, Jan-Erik, 2015. "Differences in the effects of fuel price and income on private car use in Sweden 1999-2008," Working papers in Transport Economics 2015:1, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    24. Proost, Stef & Dender, Kurt Van, 2008. "Optimal urban transport pricing in the presence of congestion, economies of density and costly public funds," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(9), pages 1220-1230, November.
    25. Brownstone, David & Golob, Thomas F., 2009. "The impact of residential density on vehicle usage and energy consumption," Journal of Urban Economics, Elsevier, vol. 65(1), pages 91-98, January.
    26. Marcial Echenique & Anthony Hargreaves & Gordon Mitchell & Anil Namdeo, 2012. "Growing Cities Sustainably," Journal of the American Planning Association, Taylor & Francis Journals, vol. 78(2), pages 121-137.
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    More about this item

    Keywords

    Sustainable; Urban transport; Policy instrument; Car; Public transport; Congestion; Crowding; Parking; Density;
    All these keywords.

    JEL classification:

    • R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy
    • R52 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Land Use and Other Regulations

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