IDEAS home Printed from https://ideas.repec.org/a/eee/eejocm/v54y2025ics1755534524000678.html
   My bibliography  Save this article

Location choice of residential housing supply: An application of the multiple discrete-continuous extreme value (MDCEV) model

Author

Listed:
  • Zhang, Yu
  • Miller, Eric J.

Abstract

The supply location of residential housing is the result of multiple, simultaneous decisions by housing developers. This choice situation can be characterized by the discretionary choice of locations for the housing projects and the amount of housing units to be built at the given locations. Within this context, the modelling of residential housing supply locations, or the allocation of predicted housing supply over space, is a discrete-continuous process. In this paper, we apply a multiple discrete continuous extreme value (MDCEV) model to simultaneously model the location choice and amount of housing supply. The empirical study is conducted in the city of Toronto with a pooled model, and four separated models for each structure type. The prediction results indicate reasonable fits. The developed model can be used to generate housing supply at a given period over space in an urban microsimulation system and serves as a valuable tool for policymakers, urban planners, and researchers in the field of housing supply and urban systems.

Suggested Citation

  • Zhang, Yu & Miller, Eric J., 2025. "Location choice of residential housing supply: An application of the multiple discrete-continuous extreme value (MDCEV) model," Journal of choice modelling, Elsevier, vol. 54(C).
  • Handle: RePEc:eee:eejocm:v:54:y:2025:i:c:s1755534524000678
    DOI: 10.1016/j.jocm.2024.100535
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1755534524000678
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jocm.2024.100535?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 search for a different version of it.

    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:eejocm:v:54:y:2025:i:c:s1755534524000678. 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.journals.elsevier.com/journal-of-choice-modelling .

    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.