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Land-use impacts in transport appraisal

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Abstract

Cost-Benefit analysis (CBA) is sometimes criticized for not taking account of induced demand due to planning policy or relocalization triggered by large infrastructure investments. There is also a notion among planers and decision makers that accounting for these effects can underestimate the relative merits of rail investments. In this paper we explore if induced demand from relocalization triggered by an infrastructure investment have any significant impact on the CBA outcome. A second aim is to investigate the robustness of the relative CBA ranking of rail and road investments with respect to the general planning policy in the region 25 years ahead. We use a large-scale integrated land-use and traffic model calibrated for the Stockholm region. We find that the induced demand from relocalization triggered by infrastructure investments has a very limited impact on the CBA outcome. This result is largely due to the fact that the population that relocates over 20-30 years is limited in comparison to the total population. Moreover, the uncertainty in the CBA outcome, and in particular the relative ranking of rail and road investments, caused by uncertainties in future land-use policies is limited. As expected, however, the CBA outcome of rail investments is to a larger extent dependent on stronger planning policy than road investments. The results underscores that the planning policy in the region have a considerably stronger impact on accessibility and total car use than individual road or rail investments. Only the largest road investment, a second bypass in the region, induces car use of the same magnitude as the impact of the planning policy in the region.

Suggested Citation

  • Börjesson, Maria & Jonsson , Daniel & Berglund, Svante & Almström , Peter, 2013. "Land-use impacts in transport appraisal," Working papers in Transport Economics 2013:32, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    • Handle: RePEc:hhs:ctswps:2013_032
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    References listed on IDEAS

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    1. Francisco Martínez & Claudio Araya, 2000. "Transport and Land-Use Benefits under Location Externalities," Environment and Planning A, , vol. 32(9), pages 1611-1624, September.
    2. Noland, Robert B., 2001. "Relationships between highway capacity and induced vehicle travel," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(1), pages 47-72, January.
    3. Phil Goodwin & Robert Noland, 2003. "Building new roads really does create extra traffic: a response to Prakash et al," Applied Economics, Taylor & Francis Journals, vol. 35(13), pages 1451-1457.
    4. Mackie, Peter & Preston, John, 1998. "Twenty-one sources of error and bias in transport project appraisal," Transport Policy, Elsevier, vol. 5(1), pages 1-7, January.
    5. Gerard Jong & Andrew Daly & Marits Pieters & Stephen Miller & Ronald Plasmeijer & Frank Hofman, 2007. "Uncertainty in traffic forecasts: literature review and new results for The Netherlands," Transportation, Springer, vol. 34(4), pages 375-395, July.
    6. Rodier, Caroline J. & Johnston, Robert A., 2002. "Uncertain socioeconomic projections used in travel demand and emissions models: could plausible errors result in air quality nonconformity?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(7), pages 613-631, August.
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    More about this item

    Keywords

    Cost-Benefit Analysis; Transport planning; Land-use planning;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning

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