Quantifying the Self-Selection Effect in Residential Location and Vehicle Use Choices with a Structural Equation Model

Lots of studies have confirmed the vehicle usage reduction effect of compact and mixed land use development. However, debates on self-selection issue have been brought in during recent years. This paper established a structural equation model with vehicle kilometers traveled (VKT), vehicle ownership and residential location estimated simultaneously. The residential self-selection is controlled through two ways in the model: implicitly through the correlated error terms in multiple equations and explicitly through the incorporation of expected VKT in the equation of residential location choice. The authors estimated the model using household travel survey data in Washington DC area collected in 2007. The results showed that land use itself could still influence travel behavior after removing self-selection effects. VKT reduction effect of land use would be exaggerated without considering self-selection, and self-selection effect would account for a larger part of the total effect in more compact and better mixed development areas.

• Record URL:
  https://doi.org/10.1061/9780784412442.361
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784412442
• Supplemental Notes:
  • 2012 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • He, Xiang
  • Zhang, Lei
• Conference:
  • Twelfth COTA International Conference of Transportation Professionals
  • Location: Beijing , China
  • Date: 2012-8-3 to 2012-8-6
• Publication Date: 2012-8

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: pp 3581-3592
• Monograph Title: CICTP 2012: Multimodal Transportation Systems—Convenient, Safe, Cost-Effective, Efficient

Subject/Index Terms

• TRT Terms: Bias (Statistics); Mode choice; Residential location; Structural equation modeling; Travel behavior
• Geographic Terms: Washington (District of Columbia)
• Subject Areas: Data and Information Technology; Highways; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01521882
• Record Type: Publication
• ISBN: 9780784412442
• Files: TRIS, ASCE
• Created Date: Apr 10 2014 10:09AM