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A conceptual framework of individual activity program generation

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  • Bhat, Chandra R.
  • Koppelman, Frank S.
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    Abstract

    The research in this paper attempts to better understand the process by which activities are generated at an individual level. Activity-based travel analyses have gained popularity in recent years because they recognize the complexity of activity behavior and view travel as a derivative of this behavior. Most activity-based studies have focused on the spatial and temporal linkage of trips; that is, the scheduling of activities. They consider the agenda of activities for participation, and associated attributes of the activity participation (such as mode to activity and location of activity performance), as predetermined. This paper develops a comprehensive conceptual framework of the relatively unexplored area of activity agenda generation. Such a framework will be valuable in empirical modeling of activity generation behavior. A subsequent paper focuses on translating a part of this conceptual framework into an empirical model.

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    Bibliographic Info

    Article provided by Elsevier in its journal Transportation Research Part A: Policy and Practice.

    Volume (Year): 27 (1993)
    Issue (Month): 6 (November)
    Pages: 433-446

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    Handle: RePEc:eee:transa:v:27:y:1993:i:6:p:433-446

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    Cited by:
    1. Scott, Darren M. & Kanaroglou, Pavlos S., 2002. "An activity-episode generation model that captures interactions between household heads: development and empirical analysis," Transportation Research Part B: Methodological, Elsevier, vol. 36(10), pages 875-896, December.
    2. Bhat, Chandra R., 1998. "Accommodating flexible substitution patterns in multi-dimensional choice modeling: formulation and application to travel mode and departure time choice," Transportation Research Part B: Methodological, Elsevier, vol. 32(7), pages 455-466, September.
    3. Wang, Donggen & Li, Jiukun, 2009. "A model of household time allocation taking into consideration of hiring domestic helpers," Transportation Research Part B: Methodological, Elsevier, vol. 43(2), pages 204-216, February.
    4. Beckman, Richard J. & Baggerly, Keith A. & McKay, Michael D., 1996. "Creating synthetic baseline populations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 30(6), pages 415-429, November.
    5. Chandra Bhat & Rajul Misra, 1999. "Discretionary activity time allocation of individuals between in-home and out-of-home and between weekdays and weekends," Transportation, Springer, vol. 26(2), pages 193-229, May.
    6. Schwanen, Tim & Mokhtarian, Patricia L., 1998. "Does Dissonance Between Desired and Current Residential Neighbourhood Type Affect Individual Travel Behaviour? An Empirical Assessment From the San Francisco Bay Area," University of California Transportation Center, Working Papers qt26k8w6xf, University of California Transportation Center.
    7. Gärling, Tommy & Gärling, Anita & Johansson, Anders, 2000. "Household choices of car-use reduction measures," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(5), pages 309-320, June.
    8. Tommy Gärling & Robert Gillholm & William Montgomery, 1999. "The role of anticipated time pressure in activity scheduling," Transportation, Springer, vol. 26(2), pages 173-191, May.
    9. Recker, W. W., 2000. "A Bridge between Travel Demand Modeling and Activity-Based Travel Analysis," University of California Transportation Center, Working Papers qt4999552w, University of California Transportation Center.
    10. Bowman, J. L. & Ben-Akiva, M. E., 2001. "Activity-based disaggregate travel demand model system with activity schedules," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(1), pages 1-28, January.
    11. Bhat, Chandra R., 1996. "A hazard-based duration model of shopping activity with nonparametric baseline specification and nonparametric control for unobserved heterogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 30(3), pages 189-207, June.
    12. Zhou Hui-fen & Li Zhen-shan & Xue Dong-qian & Lei Yang, 2012. "Time Use Patterns Between Maintenance, Subsistence and Leisure Activities: A Case Study in China," Social Indicators Research, Springer, vol. 105(1), pages 121-136, January.
    13. Recker, W. W., 2001. "A bridge between travel demand modeling and activity-based travel analysis," Transportation Research Part B: Methodological, Elsevier, vol. 35(5), pages 481-506, June.
    14. John Gliebe & Frank Koppelman, 2002. "A model of joint activity participation between household members," Transportation, Springer, vol. 29(1), pages 49-72, February.
    15. Pitombo, C.S. & Kawamoto, E. & Sousa, A.J., 2011. "An exploratory analysis of relationships between socioeconomic, land use, activity participation variables and travel patterns," Transport Policy, Elsevier, vol. 18(2), pages 347-357, March.
    16. Recker, Wilfred W., 2000. "A Bridge between Travel Demand Modeling and Activity-Based Travel Analysis," University of California Transportation Center, Working Papers qt9g70399f, University of California Transportation Center.
    17. Khandker Habib & Eric Miller, 2008. "Modelling daily activity program generation considering within-day and day-to-day dynamics in activity-travel behaviour," Transportation, Springer, vol. 35(4), pages 467-484, July.
    18. Chen, Quizi, 2001. "An Exploration of Activity Scheduling and Rescheduling Processes," University of California Transportation Center, Working Papers qt9kb4q6vt, University of California Transportation Center.
    19. Hejun Kang & Darren Scott, 2011. "Impact of different criteria for identifying intra-household interactions: a case study of household time allocation," Transportation, Springer, vol. 38(1), pages 81-99, January.

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