IDEAS home Printed from https://ideas.repec.org/a/inm/ortrsc/v56y2022i5p1111-1134.html
   My bibliography  Save this article

Effects of Air Quality on Housing Location: A Predictive Dynamic Continuum User-Optimal Approach

Author

Listed:
  • Liangze Yang

    (School of Mathematical Sciences, University of Science and Technology of China, Hefei, Anhui 230026, P.R. China)

  • S. C. Wong

    (Department of Civil Engineering, The University of Hong Kong, Hong Kong, China; Guangdong-Hong Kong-Macau Joint Laboratory for Smart Cities, The University of Hong Kong, Hong Kong, China)

  • H. W. Ho

    (Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China)

  • Mengping Zhang

    (School of Mathematical Sciences, University of Science and Technology of China, Hefei, Anhui 230026, P.R. China)

  • Chi-Wang Shu

    (Division of Applied Mathematics, Brown University, Providence, Rhode Island 02912)

Abstract

Recent decades have seen increasing concerns regarding air quality in housing locations. This study proposes a predictive continuum dynamic user-optimal model with combined choice of housing location, destination, route, and departure time. A traveler’s choice of housing location is modeled by a logit-type demand distribution function based on air quality, housing rent, and perceived travel costs. Air quality, or air pollutants, within the modeling region are governed by the vehicle-emission model and the advection-diffusion equation for dispersion. In this study, the housing-location problem is formulated as a fixed-point problem and the predictive continuum dynamic user-optimal model with departure-time consideration is formulated as a variational inequality problem. The Lax-Friedrichs scheme, the fast-sweeping method, the Goldstein-Levitin-Polyak projection algorithm, and self-adaptive successive averages are adopted to discretize and solve these problems. A numerical example is given to demonstrate the characteristics of the proposed housing-location choice problem with consideration of air quality and to demonstrate the effectiveness of the solution algorithms.

Suggested Citation

  • Liangze Yang & S. C. Wong & H. W. Ho & Mengping Zhang & Chi-Wang Shu, 2022. "Effects of Air Quality on Housing Location: A Predictive Dynamic Continuum User-Optimal Approach," Transportation Science, INFORMS, vol. 56(5), pages 1111-1134, September.
  • Handle: RePEc:inm:ortrsc:v:56:y:2022:i:5:p:1111-1134
    DOI: 10.1287/trsc.2021.1116
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/trsc.2021.1116
    Download Restriction: no

    File URL: https://libkey.io/10.1287/trsc.2021.1116?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
    ---><---

    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:56:y:2022:i:5:p:1111-1134. 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.