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Multivariate Analysis of Trip-Chaining Behavior

Author

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  • Robert B Noland

    (Centre for Transport Studies, Department of Civil and Environmental Engineering, Imperial College London, London SW7 2AZ, England)

  • John V Thomas

    (US Environmental Protection Agency, Development, Community, and Environment Division, Washington, DC, United States)

Abstract

This paper examines the relationship between patterns of trip chaining and urban form. The goal is to examine whether lower density environments are related to more frequent reliance upon trip chaining and more complex tours. The analysis uses the 2001 National Household Travel Survey to evaluate household individual travel and trip characteristics alongside a basic measure of residential density. Two estimation techniques, the ordered probit and the negative binomial model, are used to evaluate the factors associated with the tendency to combine trips into more complex tours, measured as the number of stops. The results indicate that, accounting for key household and traveler characteristics, lower density environments lead both to a greater reliance upon trip chaining and to tours that involve more stops along the way. This is followed by a household level analysis of tour generation. Crane and Krizek have suggested that more accessible areas will tend to generate more tours. However, we found no evidence for this in our analysis.

Suggested Citation

  • Robert B Noland & John V Thomas, 2007. "Multivariate Analysis of Trip-Chaining Behavior," Environment and Planning B, , vol. 34(6), pages 953-970, December.
    • Handle: RePEc:sae:envirb:v:34:y:2007:i:6:p:953-970
    DOI: 10.1068/b32120
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    References listed on IDEAS

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    Cited by:

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    3. Bautista-Hernández, Dorian Antonio, 2022. "Individual, household, and urban form determinants of trip chaining of non-work travel in México City," Journal of Transport Geography, Elsevier, vol. 98(C).
    4. Tufayel Chowdhury & Darren M. Scott, 2020. "Role of the built environment on trip-chaining behavior: an investigation of workers and non-workers in Halifax, Nova Scotia," Transportation, Springer, vol. 47(2), pages 737-761, April.
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    7. Naznin Sultana Daisy & Lei Liu & Hugh Millward, 2020. "Trip chaining propensity and tour mode choice of out-of-home workers: evidence from a mid-sized Canadian city," Transportation, Springer, vol. 47(2), pages 763-792, April.
    8. 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.
    9. Yang, Dujuan & Timmermans, Harry & Grigolon, Anna, 2013. "Exploring heterogeneity in travel time expenditure of aging populations in the Netherlands: results of a CHAID analysis," Journal of Transport Geography, Elsevier, vol. 33(C), pages 170-179.
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    11. Jan-Dirk Schmöcker & Fengming Su & Robert Noland, 2010. "An analysis of trip chaining among older London residents," Transportation, Springer, vol. 37(1), pages 105-123, January.
    12. Michael Duncan, 2016. "How much can trip chaining reduce VMT? A simplified method," Transportation, Springer, vol. 43(4), pages 643-659, July.
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    15. Henly, Megan & Brucker, Debra L., 2019. "Transportation patterns demonstrate inequalities in community participation for working-age Americans with disabilities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 93-106.

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