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The impact of land use effects in infrastructure appraisal

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  • Eliasson, Jonas
  • Savemark, Christian
  • Franklin, Joel

Abstract

When benefits of proposed infrastructure investments are forecasted, residential location is usually treated as fixed, since very few operational transport models are able to forecast residential relocation. It has been argued that this may constitute a source of serious error or bias when evaluating and comparing the benefits of proposed infrastructure investments. We use a stylized simulation model of a metropolitan region to compare calculated benefits for a large number of infrastructure investments with and without taking changes in residential location into account. In particular, we explore the changes in project selection when assembling an optimal project portfolio under a budget constraint. The simulation model includes endogenous land prices and demand for residential land, heterogeneous preferences and wage offers across residents, and spillover mechanisms which affect wage rates in zones. The model is calibrated to generate realistic travel patterns and demand elasticities. Our results indicate that ignoring residential relocation has a small but appreciable effect on the selected project portfolio, but only a very small effect on achieved total benefits.

Suggested Citation

  • Eliasson, Jonas & Savemark, Christian & Franklin, Joel, 2020. "The impact of land use effects in infrastructure appraisal," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 262-276.
    • Handle: RePEc:eee:transa:v:141:y:2020:i:c:p:262-276
    DOI: 10.1016/j.tra.2020.09.026
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    1. Maria Börjesson & Jonas Eliasson, 2019. "Should values of time be differentiated?," Transport Reviews, Taylor & Francis Journals, vol. 39(3), pages 357-375, May.
    2. Nellthorp, J. & Mackie, P. J., 2000. "The UK Roads Review--a hedonic model of decision making," Transport Policy, Elsevier, vol. 7(2), pages 127-138, April.
    3. Harberger, Arnold C, 1978. "On the Use of Distributional Weights in Social Cost-Benefit Analysis," Journal of Political Economy, University of Chicago Press, vol. 86(2), pages 87-120, April.
    4. Eliasson, Jonas & Mattsson, Lars-Göran, 2000. "A model for integrated analysis of household location and travel choices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(5), pages 375-394, June.
    5. Eliasson, Jonas & Fosgerau, Mogens, 2019. "Cost-benefit analysis of transport improvements in the presence of spillovers, matching and an income tax," Economics of Transportation, Elsevier, vol. 18(C), pages 1-9.
    6. Sergio R. Jara-Diaz & Cristián A. Guevara, 2003. "Behind the Subjective Value of Travel Time Savings," Journal of Transport Economics and Policy, University of Bath, vol. 37(1), pages 29-46, January.
    7. John K. Dagsvik & Anders Karlström, 2005. "Compensating Variation and Hicksian Choice Probabilities in Random Utility Models that are Nonlinear in Income," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(1), pages 57-76.
    8. Maria Börjesson & Jonas Eliasson & Mattias Lundberg, 2014. "Is CBA Ranking of Transport Investments Robust?," Journal of Transport Economics and Policy, University of Bath, vol. 48(2), pages 189-204, May.
    9. Waddell, Paul & Ulfarsson, Gudmundur F. & Franklin, Joel P. & Lobb, John, 2007. "Incorporating land use in metropolitan transportation planning," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(5), pages 382-410, June.
    10. Paul Waddell, 2011. "Integrated Land Use and Transportation Planning and Modelling: Addressing Challenges in Research and Practice," Transport Reviews, Taylor & Francis Journals, vol. 31(2), pages 209-229.
    11. Jonas Eliasson & Maria Börjesson & James Odeck & Morten Welde, 2015. "Does Benefit-Cost Efficiency Influence Transport Investment Decisions?," Journal of Transport Economics and Policy, University of Bath, vol. 49(3), pages 377-396, July.
    12. Anthony J. Venables, 2007. "Evaluating Urban Transport Improvements: Cost-Benefit Analysis in the Presence of Agglomeration and Income Taxation," Journal of Transport Economics and Policy, University of Bath, vol. 41(2), pages 173-188, May.
    13. Patricia C. Melo & Daniel J. Graham, 2014. "Testing for labour pooling as a source of agglomeration economies: Evidence for labour markets in England and Wales," Papers in Regional Science, Wiley Blackwell, vol. 93(1), pages 31-52, March.
    14. Jonas Eliasson & Lars-Göran Mattsson, 2001. "Transport and Location Effects of Road Pricing: A Simulation Approach," Journal of Transport Economics and Policy, University of Bath, vol. 35(3), pages 417-456, September.
    15. Börjesson, Maria & Jonsson, R. Daniel & Berglund, Svante & Almström, Peter, 2014. "Land-use impacts in transport appraisal," Research in Transportation Economics, Elsevier, vol. 47(C), pages 82-91.
    16. Asplund, Disa & Eliasson, Jonas, 2016. "Does uncertainty make cost-benefit analyses pointless?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 195-205.
    17. Börjesson, Maria & Isacsson, Gunnar & Andersson, Matts & Anderstig, Christer, 2019. "Agglomeration, productivity and the role of transport system improvements," Economics of Transportation, Elsevier, vol. 18(C), pages 27-39.
    18. Jonas Eliasson, 2010. "The Influence of Accessibility on Residential Location," Advances in Spatial Science, in: Francesca Pagliara & John Preston & David Simmonds (ed.), Residential Location Choice, pages 137-164, Springer.
    19. Bondemark, Anders & Sundbergh, Pia & Tornberg, Patrik & Brundell-Freij, Karin, 2020. "Do impact assessments influence transport plans? The case of Sweden," Transportation Research Part A: Policy and Practice, Elsevier, vol. 134(C), pages 52-64.
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    Cited by:

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    4. Serban Raicu & Dorinela Costescu & Mihaela Popa & Vasile Dragu, 2021. "Dynamic Intercorrelations between Transport/Traffic Infrastructures and Territorial Systems: From Economic Growth to Sustainable Development," Sustainability, MDPI, vol. 13(21), pages 1-16, October.

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    More about this item

    Keywords

    Cost-benefit analysis; Land use; Wider impacts; Land use/transport interaction models;
    All these keywords.

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy

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