IDEAS home Printed from https://ideas.repec.org/a/inm/ortrsc/v24y1990i2p117-136.html
   My bibliography  Save this article

Public Facilities Location under Elastic Demand

Author

Listed:
  • Jossef Perl

    (Bender Management Consultants Inc., Arlington, Virginia)

  • Peng-Kuan Ho

    (University of Maryland, College Park, Maryland)

Abstract

While most of the existing work on public sector location models has been developed in the context of emergency facilities, the location problem of nonemergency facilities differs in the location objective and in the elastic nature of demand. The proper location objective under elastic demand is that of maximizing Consumers' Surplus (CS). Based on a proposed framework, we formulate the CS location objective under different demand functions, representing different demand behaviors. We prove that the CS function is convex and therefore the search for optimal locations can be restricted to nodes. We present integer programming formulations of the Maximum Consumers' Surplus Location problem (MCSLP) and its generalization which includes fixed facility cost. A computational analysis compares the location behaviors under elastic and inelastic demands, and investigates the effects of demand function (demand behavior) on location behavior.

Suggested Citation

  • Jossef Perl & Peng-Kuan Ho, 1990. "Public Facilities Location under Elastic Demand," Transportation Science, INFORMS, vol. 24(2), pages 117-136, May.
    • Handle: RePEc:inm:ortrsc:v:24:y:1990:i:2:p:117-136
    DOI: 10.1287/trsc.24.2.117
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/trsc.24.2.117
    Download Restriction: no
    File URL: https://libkey.io/10.1287/trsc.24.2.117?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Photis, Yorgos N. & Grekoussis, George, 2003. "Assesing demand in stochastic locational planning problems: An Artificial Intelligence approach for emergency service systems," MPRA Paper 20678, University Library of Munich, Germany.
    2. Feng Sun & Jinhe Zhang & Jingxuan Ma & Chang Wang & Senlin Hu & Dong Xu, 2021. "Evolution of the Spatial-Temporal Pattern and Social Performance Evaluation of Community Sports and Fitness Venues in Shanghai," IJERPH, MDPI, vol. 19(1), pages 1-17, December.
    3. Yorgos Photis & Yorgos Grekousis, 2006. "Spatio-Temporal Point Pattern Analysis Using Genetic Algorithms," ERSA conference papers ersa06p910, European Regional Science Association.
    4. Luís M. Fernandes & Joaquim J. Júdice & Hanif D. Sherali & António P. Antunes, 2013. "Siting and Sizing of Facilities under Probabilistic Demands," Journal of Optimization Theory and Applications, Springer, vol. 158(1), pages 284-304, July.
    5. Katja Seim & Joel Waldfogel, 2013. "Public Monopoly and Economic Efficiency: Evidence from the Pennsylvania Liquor Control Board's Entry Decisions," American Economic Review, American Economic Association, vol. 103(2), pages 831-862, April.
    6. Hai Yang & S. C. Wong, 2000. "A Continuous Equilibrium Model for Estimating Market Areas of Competitive Facilities with Elastic Demand and Market Externality," Transportation Science, INFORMS, vol. 34(2), pages 216-227, May.
    7. Michael P. Johnson & Arthur P. Hurter, 2000. "Decision Support for a Housing Mobility Program Using a Multiobjective Optimization Model," Management Science, INFORMS, vol. 46(12), pages 1569-1584, December.
    8. Luís M. Fernandes & Joaquim J. Júdice & Hanif D. Sherali & António P. Antunes, 2011. "Siting and Sizing of Facilities under Probabilistic Demands," Journal of Optimization Theory and Applications, Springer, vol. 149(2), pages 420-440, May.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:ortrsc:v:24:y:1990:i:2:p:117-136. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.