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Household type and structure, time-use pattern, and trip-chaining behavior

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  • Lee, Yuhwa
  • Hickman, Mark
  • Washington, Simon

Abstract

In order to examine time allocation patterns within household-level trip-chaining, simultaneous doubly-censored Tobit models are applied to model time-use behavior within the context of household activity participation. Using the entire sample and a sub-sample of worker households from Tucson's Household Travel Survey, two sets of models are developed to better understand the phenomena of trip-chaining behavior among five types of households: single non-worker households, single worker households, couple non-worker households, couple one-worker households, and couple two-worker households. Durations of out-of-home subsistence, maintenance, and discretionary activities within trip chains are examined. Factors found to be associated with trip-chaining behavior include intra-household interactions with the household types and their structure and household head attributes.

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  • Lee, Yuhwa & Hickman, Mark & Washington, Simon, 2007. "Household type and structure, time-use pattern, and trip-chaining behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(10), pages 1004-1020, December.
    • Handle: RePEc:eee:transa:v:41:y:2007:i:10:p:1004-1020
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    6. Wang, Rui, 2015. "The stops made by commuters: evidence from the 2009 US National Household Travel Survey," Journal of Transport Geography, Elsevier, vol. 47(C), pages 109-118.
    7. Huang, Yuqiao & Gao, Linjie & Ni, Anning & Liu, Xiaoning, 2021. "Analysis of travel mode choice and trip chain pattern relationships based on multi-day GPS data: A case study in Shanghai, China," Journal of Transport Geography, Elsevier, vol. 93(C).
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    9. João De Abreu e Silva, 2018. "The Effects of Land-Use Patterns on Home-Based Tour Complexity and Total Distances Traveled: A Path Analysis," Sustainability, MDPI, vol. 10(3), pages 1-16, March.
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    13. Shengyuan Zhang & Jimin Zhao & Albert Park, 2016. "Travel Behavior, Energy Use, and Carbon Emissions: Evidence from Shenzhen, China," HKUST IEMS Working Paper Series 2016-35, HKUST Institute for Emerging Market Studies, revised Jun 2016.
    14. Dimas B. E. Dharmowijoyo & Yusak O. Susilo & Anders Karlström, 2018. "On complexity and variability of individuals’ discretionary activities," Transportation, Springer, vol. 45(1), pages 177-204, January.
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    17. Ge Gao & Huijun Sun & Jianjun Wu, 2019. "Activity-based trip chaining behavior analysis in the network under the parking fee scheme," Transportation, Springer, vol. 46(3), pages 647-669, June.
    18. Tilley, Sara & Houston, Donald, 2016. "The gender turnaround: Young women now travelling more than young men," Journal of Transport Geography, Elsevier, vol. 54(C), pages 349-358.
    19. Bhat, Chandra R. & Astroza, Sebastian & Sidharthan, Raghuprasad & Alam, Mohammad Jobair Bin & Khushefati, Waleed H., 2014. "A joint count-continuous model of travel behavior with selection based on a multinomial probit residential density choice model," Transportation Research Part B: Methodological, Elsevier, vol. 68(C), pages 31-51.
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    21. Liu, Chengxi & Susilo, Yusak O. & Karlström, Anders, 2014. "Examining the impact of weather variability on non-commuters’ daily activity–travel patterns in different regions of Sweden," Journal of Transport Geography, Elsevier, vol. 39(C), pages 36-48.
    22. Liya Yang & Lingqian Hu & Zhenbo Wang, 2019. "The built environment and trip chaining behaviour revisited: The joint effects of the modifiable areal unit problem and tour purpose," Urban Studies, Urban Studies Journal Limited, vol. 56(4), pages 795-817, March.
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    24. Ballis, Haris & Dimitriou, Loukas, 2020. "Revealing personal activities schedules from synthesizing multi-period origin-destination matrices," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 224-258.

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