Abstract
This paper offers a comprehensive analysis of physical recreational activity engagement by simultaneously examining the location, time of day, day of week, and social context of these activities. Data from the 2007 American Time Use Survey is used to estimate a mixed multiple discrete continuous extreme value (MDCEV) model that simultaneously captures the multiple activity categories that people may choose and the time that they allocate to each of the activity categories. It is found that a host of socio-economic, demographic, household, employment-related, and environmental variables affect the choice of physical recreational activity engagement with respect to location, time of day, day of week, and social context.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 201-217 |
| Number of pages | 17 |
| Journal | Transportation Letters |
| Volume | 3 |
| Issue number | 3 |
| DOIs | |
| State | Published - Jul 2011 |
Keywords
- Maximum simulated likelihood
- Multiple discreteness
- Physical activity
- Social interaction
- Time use
ASJC Scopus subject areas
- Transportation
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