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Dynamic bottleneck congestion and residential land use in the monocentric city

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  • Gubins, Sergejs
  • Verhoef, Erik T.

Abstract

We consider a monocentric city where a traffic bottleneck is located at the entrance of the central business district. The commuters’ departure times from home, residential locations, and lot sizes, are all endogenous. We show that elimination of queuing time under optimal road pricing induces individuals to spend more time at home and to have larger houses, causing urban sprawl. This is opposite to the typical results of urban models with static congestion, which predict cities to become denser with road pricing.

Suggested Citation

  • Gubins, Sergejs & Verhoef, Erik T., 2014. "Dynamic bottleneck congestion and residential land use in the monocentric city," Journal of Urban Economics, Elsevier, vol. 80(C), pages 51-61.
  • Handle: RePEc:eee:juecon:v:80:y:2014:i:c:p:51-61
    DOI: 10.1016/j.jue.2013.09.001
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    References listed on IDEAS

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    1. van den Berg, Vincent & Verhoef, Erik T., 2011. "Winning or losing from dynamic bottleneck congestion pricing?: The distributional effects of road pricing with heterogeneity in values of time and schedule delay," Journal of Public Economics, Elsevier, vol. 95(7-8), pages 983-992, August.
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    11. Small, Kenneth A, 1982. "The Scheduling of Consumer Activities: Work Trips," American Economic Review, American Economic Association, vol. 72(3), pages 467-479, June.
    12. Tseng, Yin-Yen & Verhoef, Erik T., 2008. "Value of time by time of day: A stated-preference study," Transportation Research Part B: Methodological, Elsevier, vol. 42(7-8), pages 607-618, August.
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    15. Sergejs Gubins & Erik T. Verhoef, 2011. "Teleworking and Congestion: A Dynamic Bottleneck Analysis," Tinbergen Institute Discussion Papers 11-096/3, Tinbergen Institute.
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    Citations

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    Cited by:

    1. Takayama, Yuki & Kuwahara, Masao, 2017. "Bottleneck congestion and residential location of heterogeneous commuters," Journal of Urban Economics, Elsevier, vol. 100(C), pages 65-79.
    2. Takayama, Yuki, 2015. "Bottleneck congestion and distribution of work start times: The economics of staggered work hours revisited," Transportation Research Part B: Methodological, Elsevier, vol. 81(P3), pages 830-847.
    3. Knockaert, Jasper & Verhoef, Erik T. & Rouwendal, Jan, 2016. "Bottleneck congestion: Differentiating the coarse charge," Transportation Research Part B: Methodological, Elsevier, vol. 83(C), pages 59-73.
    4. Small, Kenneth A., 2015. "The bottleneck model: An assessment and interpretation," Economics of Transportation, Elsevier, vol. 4(1), pages 110-117.
    5. Brueckner, Jan K., 2014. "Cordon tolling in a city with congested bridges," Economics of Transportation, Elsevier, vol. 3(4), pages 235-242.
    6. Takayama, Yuki & Kuwahara, Masao, 2016. "Scheduling preferences, parking competition, and bottleneck congestion: A model of trip timing and parking location choices by heterogeneous commuters," MPRA Paper 68938, University Library of Munich, Germany.
    7. Kenneth Small, 2015. "The Bottleneck Model: An Assessment and Interpretation," Working Papers 141506, University of California-Irvine, Department of Economics.

    More about this item

    Keywords

    Bottleneck model; Monocentric model; Road pricing; Congestion; Urban sprawl;

    JEL classification:

    • D62 - Microeconomics - - Welfare Economics - - - Externalities
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • 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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