Abstract
The notion of time-space prisms has often been used in the context of describing activity-travel patterns of individuals. This paper presents a methodology for estimating the temporal vertices of time-space prisms using the stochastic frontier modeling technique. Observed trip starting and ending times are used as dependent variables and socio-economic characteristics and commute characteristics serve as independent variables. The models are found to offer plausible results indicating that temporal vertices of time-space prisms, though unobservable, can be estimated based on temporal characteristics of observed activity-travel patterns. Comparisons of stochastic frontier models of prism vertices and the distributions of prism vertices are presented using two activity data sets collected in the United States - San Francisco and Miami. Differences and similarities in temporal vertex locations are highlighted in the paper.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 73-94 |
| Number of pages | 22 |
| Journal | Transportation |
| Volume | 29 |
| Issue number | 1 |
| DOIs | |
| State | Published - Feb 2002 |
| Externally published | Yes |
Keywords
- Activity engagement
- Prism vertex
- Time-space constraints
- Time-space prism
- Travel behavior
- stochastic frontier model
ASJC Scopus subject areas
- Civil and Structural Engineering
- Development
- Transportation