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Household-Mode Choice and Residential-Rent Distribution in a Metropolitan Area with Surface Road and Rail Transit Networks

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  • Chaug-Ing Hsu
  • Shwu-Ping Guo

Abstract

The authors formulate a model integrating households' residential-mode choice and residential distribution in a metropolitan area with surface streets and rail transit networks. The model was constructed to describe transportation—residential land-use interaction by means of continuous analytical approaches and mathematical programming methods. Heterogeneity among residential sites and households is also considered, to alleviate aggregation bias. The model is formulated to minimize the sum of households' generalized travel costs and rent costs under user equilibrium by incorporating flow-congestion effects and the bid-rent effects of different income households. Decision variables include the number of households and flow intensity at each residential site, and the number of transferring passengers at each rail transit station. In addition, the generalized travel cost, households' residential distribution, and rent-cost distribution in a metropolitan area are analyzed to explore the benefits of rail transit lines. The results reveal that, upon completion of rail transit networks, savings in travel time from each residential site to the central business district are more marked for longer commuting distances. Moreover, rent costs are, as expected, higher in areas along rail-transit lines.

Suggested Citation

  • Chaug-Ing Hsu & Shwu-Ping Guo, 2001. "Household-Mode Choice and Residential-Rent Distribution in a Metropolitan Area with Surface Road and Rail Transit Networks," Environment and Planning A, , vol. 33(9), pages 1547-1575, September.
    • Handle: RePEc:sae:envira:v:33:y:2001:i:9:p:1547-1575
    DOI: 10.1068/a33211
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    References listed on IDEAS

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    1. Michael Florian, 1977. "A Traffic Equilibrium Model of Travel by Car and Public Transit Modes," Transportation Science, INFORMS, vol. 11(2), pages 166-179, May.
    2. Berechman, J & Small, K. A., 1987. "Modeling Land Use and Transportation: An Interpretive Review for Growth Areas," University of California Transportation Center, Working Papers qt5882r95w, University of California Transportation Center.
    3. Watterson, W. T., 1993. "Linked simulation of land use and transportation systems: Developments and experience in the Puget sound region," Transportation Research Part A: Policy and Practice, Elsevier, vol. 27(3), pages 193-206, May.
    4. Joaquín de Cea & Enrique Fernández, 1993. "Transit Assignment for Congested Public Transport Systems: An Equilibrium Model," Transportation Science, INFORMS, vol. 27(2), pages 133-147, May.
    5. Berechman, J. & Small, K. A., 1988. "Modeling Land Use and Transportation: An Interpretive Review for Growh Areas," University of California Transportation Center, Working Papers qt4nw2t7n5, University of California Transportation Center.
    6. Mustafa Abdulaal & Larry J. LeBlanc, 1979. "Methods for Combining Modal Split and Equilibrium Assignment Models," Transportation Science, INFORMS, vol. 13(4), pages 292-314, November.
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