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Solution Algorithms for a Combined Residential Location and Transportation Model

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  • M Los
  • S Nguyen

Abstract

A model is specified for predicting residential location, modal choice, and transportation system performance which is formulated as a convex programming problem. Two solution algorithms belonging to the class of feasible descent direction methods are proposed for solving this problem. Several extensions of the basic model are discussed and the associated solution algorithms are outlined.

Suggested Citation

  • M Los & S Nguyen, 1983. "Solution Algorithms for a Combined Residential Location and Transportation Model," Environment and Planning A, , vol. 15(4), pages 515-524, April.
  • Handle: RePEc:sae:envira:v:15:y:1983:i:4:p:515-524
    DOI: 10.1068/a150515
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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. Wheaton, William C., 1974. "Linear programming and locational equilibrium : The Herbert-Stevens model revisited," Journal of Urban Economics, Elsevier, vol. 1(3), pages 278-287, July.
    3. Björn Hårsman & Folke Snickars, 1975. "Disaggregated Housing Demand Models: Some Theoretical Approaches," Papers in Regional Science, Wiley Blackwell, vol. 34(1), pages 121-143, January.
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    Cited by:

    1. Nijkamp, P. & Reggiani, A., 1986. "A synthesis between macro and micro models in spatial interaction analysis, with special reference to dynamics," Serie Research Memoranda 0010, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    2. Bagley, Michael N, 1999. "Incorporating Residential Choice into Travel Behavior-Land Use Interaction Research: A Conceptual Model with Methodologies for Investigating Causal Relationships," University of California Transportation Center, Working Papers qt2ws1x83f, University of California Transportation Center.
    3. D E Boyce, 1984. "Urban Transportation Network-Equilibrium and Design Models: Recent Achievements and Future Prospects," Environment and Planning A, , vol. 16(11), pages 1445-1474, November.

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