Varying influences of the built environment on household travel in 15 diverse regions of the United States

Reid Ewing, Guang Tian, Goates Jp, Ming Zhang, Michael J Greenwald, Alex Joyce, John Kircher and William Greene
Additional contact information
Ming Zhang: University of Texas at Austin, USA
Michael J Greenwald: Oregon Health Authority, USA
Alex Joyce: Fregonese Associates Inc., USA
John Kircher: University of Utah, USA

Urban Studies, 2015, vol. 52, issue 13, 2330-2348

Abstract: This study pools household travel and built environment data from 15 diverse US regions to produce travel models with more external validity than any to date. It uses a large number of consistently defined built environmental variables to predict five household travel outcomes – car trips, walk trips, bike trips, transit trips and vehicle miles travelled (VMT). It employs multilevel modelling to account for the dependence of households in the same region on shared regional characteristics and estimates ‘hurdle’ models to account for the excess number of zero values in the distributions of dependent variables such as household transit trips. It tests built environment variables for three different buffer widths around household locations to see which scale best explains travel behaviour. The resulting models are appropriate for post-processing outputs of conventional travel demand models, and for sketch planning applications in traffic impact analysis, climate action planning and health impact assessment.

Keywords: D variables; Envision Tomorrow software; household travel; hurdle models; multilevel modelling; walk and bike trip generation (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (38)

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/0042098014560991 (text/html)

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:sae:urbstu:v:52:y:2015:i:13:p:2330-2348

DOI: 10.1177/0042098014560991

Access Statistics for this article

More articles in Urban Studies from Urban Studies Journal Limited
Bibliographic data for series maintained by SAGE Publications ().