Visualizing Travel Patterns with a GPS Dataset: How Commuting Routes Influence Non-Work Travel Behavior

Xiaoguang Wang, Joe Grengs, Lidia Kostyniuk

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

This paper examines the spatial patterns of non-work activities for 34 drivers in the Southeast Michigan region. Capitalizing upon a unique global positioning systems (GPS) dataset and GIS visualization techniques, this study quantifies the spatial distributions of non-work activities for drivers with different commuting distances, and for non-work activities that are chained in different types of travel (commute travel vs. non-commute travel). We find a strong dependence of non-work activity locations on commuting distances, and an influence of commuting routes on non-work activities chained in all types of travel. The results underline the importance of commuting routes in shaping the spatial configuration of non-work activities.

Original languageEnglish
Pages (from-to)105-125
Number of pages21
JournalJournal of Urban Technology
Volume20
Issue number3
DOIs
StatePublished - Jul 2013

Keywords

  • GIS
  • GPS
  • Non-Work Activity
  • Spatial Patterns
  • Visualization

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