Using a GPS data set to examine the effects of the built environment along commuting routes on travel outcomes

Xiaoguang Wang, Joe Grengs, Lidia Kostyniuk

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Although extensive research has investigated how the built environment near people's homes and work places influence automobile travel behavior, little is known about how commuting routes affect travel outcomes. This article presents a methodology that addressesthis question by examining the correlation between built environment along commuting routes and vehicle miles traveled (VMT) and fuel consumption for nonwork automobile travel. Using a global positioning systems (GPS) data set collected from automobile trips of 46 drivers from the southeast Michigan area over a 30-day time frame, this study identifies the actual commuting routes for all drivers and derives theirfuel consumption for nonwork travel. Although statistically significant relationships are not found between route environments and nonwork VMT and fuel consumption, this study is unique in its focus on the commuting routes and in establishing a methodology for using GPS data in transportation and land-use research, and it offers suggestions for refining the modeling of travel behavior along commuting routes.

Original languageEnglish
Article number04014009
JournalJournal of Urban Planning and Development
Volume140
Issue number4
DOIs
StatePublished - Dec 1 2014

Keywords

  • Built environment
  • Driving behavior
  • Energy consumption
  • Geographic information systems
  • Global positioning systems

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