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 language | English |
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Pages (from-to) | 105-125 |
Number of pages | 21 |
Journal | Journal of Urban Technology |
Volume | 20 |
Issue number | 3 |
DOIs | |
State | Published - Jul 2013 |
Keywords
- GIS
- GPS
- Non-Work Activity
- Spatial Patterns
- Visualization