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If you build it, they will drive: Measuring induced demand for vehicle travel in urban areas

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  • Hymel, Kent

Abstract

This paper examines the causal link between highway capacity and the volume of vehicle travel in US urban areas. Estimates from a dynamic panel model suggest that highway capacity expansion generates an exactly proportional increase in vehicle travel. Moreover, induced vehicle travel is expected to revert traffic speeds to pre-expansion levels in approximately five years. To address the simultaneous relationship between lane mileage and highway capacity, this paper develops an identification strategy to account for possible endogeneity bias. A set of instrumental variables measures the degree of influence that state delegations have had on key transportation committees in the US congress. The instruments strongly correlate with highway capacity and are plausibly exogenous, considering the idiosyncratic legislative process in the US. These findings cast doubt on the effectiveness of expanding highways to eliminate traffic congestion, as the speed-related benefits of new capacity tend to be short-lived.

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  • Hymel, Kent, 2019. "If you build it, they will drive: Measuring induced demand for vehicle travel in urban areas," Transport Policy, Elsevier, vol. 76(C), pages 57-66.
  • Handle: RePEc:eee:trapol:v:76:y:2019:i:c:p:57-66
    DOI: 10.1016/j.tranpol.2018.12.006
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    Cited by:

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    3. Assel Nugmanova & Wulf-Holger Arndt & Md Aslam Hossain & Jong Ryeol Kim, 2019. "Effectiveness of Ring Roads in Reducing Traffic Congestion in Cities for Long Run: Big Almaty Ring Road Case Study," Sustainability, MDPI, vol. 11(18), pages 1-26, September.
    4. Ioulia V Ossokina & Jos van Ommeren & Henk van Mourik, 2023. "Do highway widenings reduce congestion?," Review of Finance, European Finance Association, vol. 23(4), pages 871-900.
    5. Ahmed, Kashif & Kamihigashi, Takashi & Matsuo, Miwa, 2023. "Positive fuel price elasticities of expressway traffic flows: Insights for policymakers and management strategists," Transport Policy, Elsevier, vol. 142(C), pages 99-114.
    6. Shoshanna Saxe & Dena Kasraian, 2020. "Rethinking environmental LCA life stages for transport infrastructure to facilitate holistic assessment," Journal of Industrial Ecology, Yale University, vol. 24(5), pages 1031-1046, October.
    7. Wonchul Kim & Sung Hyo Hong, 2022. "An Empirical Analysis of the Benefits of Opening a Highway in Terms of Changes in Housing Prices," Sustainability, MDPI, vol. 14(9), pages 1-11, May.
    8. Carrese, Stefano & Cuneo, Valerio & Nigro, Marialisa & Pizzuti, Raffaele & Ardito, Cosimo Federico & Marseglia, Guido, 2022. "Optimization of downstream fuel logistics based on road infrastructure conditions and exposure to accident events," Transport Policy, Elsevier, vol. 124(C), pages 96-105.
    9. Volker, Jamey M.B. PhD & Handy, Susan L PhD, 2021. "The Induced Travel Calculator and Its Applications," Institute of Transportation Studies, Working Paper Series qt2nr6q5rc, Institute of Transportation Studies, UC Davis.
    10. Marek Drliciak & Jan Celko & Michal Cingel & Dusan Jandacka, 2020. "Traffic Volumes as a Modal Split Parameter," Sustainability, MDPI, vol. 12(24), pages 1-21, December.
    11. Tscharaktschiew, Stefan, 2020. "Why are highway speed limits really justified? An equilibrium speed choice analysis," Transportation Research Part B: Methodological, Elsevier, vol. 138(C), pages 317-351.
    12. Hong Ki An & Muhammad Awais Javeed & Gimok Bae & Nimra Zubair & Ahmed Sayed M. Metwally & Patrizia Bocchetta & Fan Na & Muhammad Sufyan Javed, 2022. "Optimized Intersection Signal Timing: An Intelligent Approach-Based Study for Sustainable Models," Sustainability, MDPI, vol. 14(18), pages 1-19, September.
    13. Ioulia V Ossokina & Jos van Ommeren & Henk van Mourik, 2023. "Do highway widenings reduce congestion?," Journal of Economic Geography, Oxford University Press, vol. 23(4), pages 871-900.
    14. Ballo, Lukas & de Freitas, Lucas Meyer & Meister, Adrian & Axhausen, Kay W., 2023. "The E-Bike City as a radical shift toward zero-emission transport: Sustainable? Equitable? Desirable?," Journal of Transport Geography, Elsevier, vol. 111(C).

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    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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