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A Goal Programming Approach to Urban-Suburban Location Preferences

Author

Listed:
  • James F. Courtney, Jr.

    (University of Texas, Austin)

  • Theodore D. Klastorin

    (University of Texas, Austin)

  • Timothy W. Ruefli

    (University of Texas, Austin)

Abstract

Recent efforts in the area of modelling activities in the urban environment have been concentrated on the use of simulation techniques. In this paper the problem of population location in a metropolitan area is treated in an analytic model employing a goal programming formulation. A target population is broken into groups which then compete for a share of limited capacity in a number of urban sectors. The possible usefulness of this approach to urban planning, real estate development, and transportation systems design is illustrated through the theoretical development and the presentation of a numerical model.

Suggested Citation

  • James F. Courtney, Jr. & Theodore D. Klastorin & Timothy W. Ruefli, 1972. "A Goal Programming Approach to Urban-Suburban Location Preferences," Management Science, INFORMS, vol. 18(6), pages 258-268, February.
    • Handle: RePEc:inm:ormnsc:v:18:y:1972:i:6:p:b258-b268
    DOI: 10.1287/mnsc.18.6.B258
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    Cited by:

    1. Morano, Pierluigi & Tajani, Francesco, 2018. "Saving soil and financial feasibility. A model to support public-private partnerships in the regeneration of abandoned areas," Land Use Policy, Elsevier, vol. 73(C), pages 40-48.
    2. Pierluigi Morano & Francesco Tajani & Maria Rosaria Guarini & Francesco Sica, 2021. "A Systematic Review of the Existing Literature for the Evaluation of Sustainable Urban Projects," Sustainability, MDPI, vol. 13(9), pages 1-17, April.
    3. Demirci, Mehmet & Bettinger, Pete, 2015. "Using mixed integer multi-objective goal programming for stand tending block designation: A case study from Turkey," Forest Policy and Economics, Elsevier, vol. 55(C), pages 28-36.
    4. Morris Hill & Elia Werczberger, 1978. "Goal Programming and the Goals-Achievement Matrix," International Regional Science Review, , vol. 3(2), pages 165-181, December.

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