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Tour-based mode choice of joint household travel patterns on weekend and weekday

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  • Chinh Ho
  • Corinne Mulley

Abstract

Joint household travel, with or without joint participation in an activity, constitutes a fundamental aspect in modelling activity-based travel behaviour. This paper examines joint household travel arrangements and mode choices using a utility maximising approach. An individual tour-based mode choice model is formulated contingent on the choice of joint tour patterns where joint household activities and shared ride arrangements are recognised as part of the joint household decision-making that influences the travel modes of each household member. Two models, one for weekend and one for weekday, are estimated using empirical data from the Sydney Household Travel Survey. The results show that weekend travel is characterised by a high joint household activity participation rate while weekday travel is distinguished by more intra-household shared ride arrangements. The arrangements of joint household travel are highly associated with travel purpose, social and mobility constraints and household resources. On weekends, public transport is mainly used by captive users (i.e., no-car households and students) and its share is about half of that on weekdays. Also, the value of travel time savings (VOTs) are found to be higher on weekends than on weekdays, running entirely counter to the common belief that weekend VOTs are lower than weekday VOTs. This paper highlights the importance of studying joint household travel and using different transport management measures for alleviating traffic congestion on weekdays and weekends. Copyright Springer Science+Business Media New York 2013

Suggested Citation

  • Chinh Ho & Corinne Mulley, 2013. "Tour-based mode choice of joint household travel patterns on weekend and weekday," Transportation, Springer, vol. 40(4), pages 789-811, July.
  • Handle: RePEc:kap:transp:v:40:y:2013:i:4:p:789-811
    DOI: 10.1007/s11116-013-9479-0
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    References listed on IDEAS

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    1. Currie, Graham & Delbosc, Alexa, 2011. "Exploring the trip chaining behaviour of public transport users in Melbourne," Transport Policy, Elsevier, vol. 18(1), pages 204-210, January.
    2. 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.
    3. Eric Miller & Matthew Roorda & Juan Carrasco, 2005. "A tour-based model of travel mode choice," Transportation, Springer, vol. 32(4), pages 399-422, July.
    4. Davidson, William & Donnelly, Robert & Vovsha, Peter & Freedman, Joel & Ruegg, Steve & Hicks, Jim & Castiglione, Joe & Picado, Rosella, 2007. "Synthesis of first practices and operational research approaches in activity-based travel demand modeling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(5), pages 464-488, June.
    5. Hensher, David A. & Greene, William H. & Li, Zheng, 2011. "Embedding risk attitude and decision weights in non-linear logit to accommodate time variability in the value of expected travel time savings," Transportation Research Part B: Methodological, Elsevier, vol. 45(7), pages 954-972, August.
    6. Sivaramakrishnan Srinivasan & Chandra Bhat, 2006. "A multiple discrete-continuous model for independent- and joint-discretionary-activity participation decisions," Transportation, Springer, vol. 33(5), pages 497-515, September.
    7. Abrantes, Pedro A.L. & Wardman, Mark R., 2011. "Meta-analysis of UK values of travel time: An update," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(1), pages 1-17, January.
    8. Chandra Bhat & Ram Pendyala, 2005. "Modeling intra-household interactions and group decision-making," Transportation, Springer, vol. 32(5), pages 443-448, September.
    9. Amith Yarlagadda & Sivaramakrishnan Srinivasan, 2008. "Modeling children’s school travel mode and parental escort decisions," Transportation, Springer, vol. 35(2), pages 201-218, March.
    10. Roorda, Matthew J. & Carrasco, Juan A. & Miller, Eric J., 2009. "An integrated model of vehicle transactions, activity scheduling and mode choice," Transportation Research Part B: Methodological, Elsevier, vol. 43(2), pages 217-229, February.
    11. Mark Bradley & Peter Vovsha, 2005. "A model for joint choice of daily activity pattern types of household members," Transportation, Springer, vol. 32(5), pages 545-571, September.
    12. Ye, Xin & Pendyala, Ram M. & Gottardi, Giovanni, 2007. "An exploration of the relationship between mode choice and complexity of trip chaining patterns," Transportation Research Part B: Methodological, Elsevier, vol. 41(1), pages 96-113, January.
    13. 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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