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 |
|---|---|
| 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