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.
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Pendyala, R.M., Yamamoto, T. & Kitamura, R. On the formulation of time-space prisms to model constraints on personal activity-travel engagement. Transportation 29, 73–94 (2002). https://doi.org/10.1023/A:1012905110686
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DOI: https://doi.org/10.1023/A:1012905110686