Multiple Discrete-Continuous Model of Activity Type Choice and Time Allocation for Home-Based Nonwork Tours

作者: Venu M Garikapati , Vladimir Livshits , Karthik Charan Konduri , Daehyun You , Ram M Pendyala

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摘要: In the activity-based modeling arena, tour-based approaches to travel demand have been implemented in practice a number of geographical contexts. tour context, there are choice dimensions wherein alternatives and amount consume is made simultaneously. particular, different activity types time allocated various within considerable interest. The simulation these processes must be done while also recognizing dependencies interactions across contexts tour. It desirable model context multiple discrete choices (activity types) associated continuous variable (time spent on under single unifying framework accurately capture interrelationships Data from latest wave NHTS used estimate joint type allocation using discrete-continuous extreme value model. addition, history participation explicitly captured specification as explanatory variables. Results empirical exercise provide plausible results support case for simultaneously inter-relationship between allocation. History was found significant with notable trade-off complementarity effects exhibited by individuals selected non-work types.

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