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Time-varying congestion tolling and urban spatial structure

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  • Takayama, Yuki

Abstract

This study develops a model in which heterogeneous commuters choose their residential locations and departure times from home in a monocentric city with a bottleneck located at the entrance to the central business district (CBD). We systematically analyze the model by utilizing the properties of complementarity problems. This analysis shows that, although expanding the capacity of the bottleneck generates a Pareto improvement when commuters do not relocate, it can lead to an unbalanced distribution of benefits among commuters: commuters residing closer to the CBD gain and commuters residing farther from the CBD lose. Furthermore, we reveal that an optimal time-varying congestion toll alters the urban spatial structure. We then demonstrate through examples that (a) if rich commuters are flexible, congestion tolling makes cities denser and more compact; (b) if rich commuters are highly inflexible, tolling causes cities to become less dense and to spatially expand; and (c) in both cases, imposing a toll helps rich commuters but hurts poor commuters.

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  • Takayama, Yuki, 2018. "Time-varying congestion tolling and urban spatial structure," MPRA Paper 89896, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:89896
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    More about this item

    Keywords

    time-varying congestion toll; bottleneck congestion; urban spatial structure; heterogeneity;
    All these keywords.

    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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