The Impact of Zoning and Built Environment Characteristics on Transit, Biking, and Walking
Andrew G. Mueller and
Daniel J. Trujillo
Journal of Sustainable Real Estate, 2019, vol. 11, issue 1, 108-129
Abstract:
This study furthers existing research on the link between the built environment and travel behavior, particularly mode choice (auto, transit, biking, walking). While researchers have studied built environment characteristics and their impact on mode choice, none have attempted to measure the impact of zoning on travel behavior. By testing the impact of land use regulation in the form of zoning restrictions on travel behavior, this study expands the literature by incorporating an additional variable that can be changed through public policy action and may help cities promote sustainable real estate development goals. Using a unique, high-resolution travel survey dataset from Denver, Colorado, we develop a multinomial discrete choice model that addresses unobserved travel preferences by incorporating sociodemographic, built environment, and land use restriction variables. The results suggest that zoning can be tailored by cities to encourage reductions in auto usage, furthering sustainability goals in transportation.
Date: 2019
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.22300/1949-8276.11.1.108 (text/html)
Access to full text is restricted to subscribers.
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:taf:rsrexx:v:11:y:2019:i:1:p:108-129
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/rsre20
DOI: 10.22300/1949-8276.11.1.108
Access Statistics for this article
Journal of Sustainable Real Estate is currently edited by Julia Freybote
More articles in Journal of Sustainable Real Estate from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().