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

Liangze Yang (), S. C. Wong (), H. W. Ho (), Mengping Zhang () and Chi-Wang Shu ()
Additional contact information
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

Transportation Science, 2022, vol. 56, issue 5, 1111-1134

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.

Keywords: predictive dynamic user-optimal model; departure time; variational inequality; continuum model; housing location choice (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://dx.doi.org/10.1287/trsc.2021.1116 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:inm:ortrsc:v:56:y:2022:i:5:p:1111-1134

Access Statistics for this article

More articles in Transportation Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().