IDEAS home Printed from https://ideas.repec.org/a/eee/retrec/v115y2026ics0739885925001799.html

Bi-objective set covering location model for two-tier shopping centers based on two-level consumer demand

Author

Listed:
  • Wang, Fei
  • Chen, Jianyu
  • Zhang, Houlong
  • Wang, Ke

Abstract

The strategic location of shopping centers is crucial to the economic interests of commercial investors and significantly influences urban residents' welfare and the spatial configuration of urban commercial systems. This study applies an optimization model to the shopping center location problem by constructing a bi-objective set-covering location model for two-tier shopping centers based on two -level consumer demand. The model simultaneously considers the interests of both investors and consumers, aiming to trade-off facility construction costs and consumer travel costs with limited capacity constraints. To efficiently solve the problem, an improved NSGA-II algorithm incorporating a chromosome-archiving mechanism is proposed, and its performance is validated against a reference frontier generated by the ε-constraint method. Empirical analysis based on Xi'an's metro network (163 stations) demonstrates the cost ratio parameter (α) and service radius ratio parameter (γ) exhibit high sensitivity, whereas the capacity ratio parameter (β) has a relatively minor effect on the optimization outcomes.

Suggested Citation

  • Wang, Fei & Chen, Jianyu & Zhang, Houlong & Wang, Ke, 2026. "Bi-objective set covering location model for two-tier shopping centers based on two-level consumer demand," Research in Transportation Economics, Elsevier, vol. 115(C).
    • Handle: RePEc:eee:retrec:v:115:y:2026:i:c:s0739885925001799
    DOI: 10.1016/j.retrec.2025.101696
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0739885925001799
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.retrec.2025.101696?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
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce
    • R32 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Other Spatial Production and Pricing Analysis
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy
    • D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory

    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:eee:retrec:v:115:y:2026:i:c:s0739885925001799. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/620614/description#description .

    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.