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The Effects of Mass Transit System on Urban Population Distribution:Evidence from Wuhan

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Listed:
  • Se-il MUN
  • Lei QIN
  • Yue ZHOU

Abstract

This paper aims to evaluate empirically how station spacing affects the density along the transit line and the compactness of the urban area. We derive the population density equation as a function of station spacing, based on urban economics model of residential land use. We estimate the population density equation using data for grids in Wuhan, China. Based on the estimated equation, we conduct counterfactual simulations for several cases of station spacing to evaluate the extent to which shorter station spacing contributes to land use compactness.

Suggested Citation

  • Se-il MUN & Lei QIN & Yue ZHOU, 2023. "The Effects of Mass Transit System on Urban Population Distribution:Evidence from Wuhan," Discussion papers e-23-003, Graduate School of Economics , Kyoto University.
    • Handle: RePEc:kue:epaper:e-23-003
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    References listed on IDEAS

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    1. Daniel Wilhelm, 2018. "Testing for the presence of measurement error," CeMMAP working papers CWP45/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Zhu, Yi & Diao, Mi, 2016. "The impacts of urban mass rapid transit lines on the density and mobility of high-income households: A case study of Singapore," Transport Policy, Elsevier, vol. 51(C), pages 70-80.
    3. Fujita,Masahisa, 1991. "Urban Economic Theory," Cambridge Books, Cambridge University Press, number 9780521396455, Enero-Abr.
    4. Harry J. Holzer & John M. Quigley & Steven Raphael, 2003. "Public transit and the spatial distribution of minority employment: Evidence from a natural experiment," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 22(3), pages 415-441.
    5. Young Jun Lee & Daniel Wilhelm, 2020. "Testing for the presence of measurement error in Stata," Stata Journal, StataCorp LLC, vol. 20(2), pages 382-404, June.
    6. Heilmann, Kilian, 2018. "Transit access and neighborhood segregation. Evidence from the Dallas light rail system," Regional Science and Urban Economics, Elsevier, vol. 73(C), pages 237-250.
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    Keywords

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    JEL classification:

    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
    • R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning

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