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Household-level commuting mode choices, car allocation and car ownership level choices of two-worker households: the case of the city of Toronto

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  • Khandker Habib

Abstract

The paper presents a comprehensive investigation on household level commuting mode, car allocation and car ownership level choices of two-worker households in the City of Toronto. A joint econometric model and a household travel survey dataset are used for empirical investigations. Empirical models reveal that significant substitution patterns exist between auto driving and all other mode choices in two-worker households. It is revealed that, female commuters do not prefer auto driving, but in case of a one car (and two commuters with driving licenses) household, a female commuter gets more preference for auto driving option than the male commuter. Reverse commuting (commuting in opposite direction of home to central business district) plays a critical role on household level car allocation choices and in defining the stability of commuting behaviour of two-worker households. Two worker households in higher income zones and with longer commuting distances tend to have higher car ownership levels than others. However, higher transit accessibility to jobs reduces household car ownership levels. The study reveals that both increasing two worker households and reverse commuting would increase dependency on private car for commuting. Copyright Springer Science+Business Media New York 2014

Suggested Citation

  • Khandker Habib, 2014. "Household-level commuting mode choices, car allocation and car ownership level choices of two-worker households: the case of the city of Toronto," Transportation, Springer, vol. 41(3), pages 651-672, May.
    • Handle: RePEc:kap:transp:v:41:y:2014:i:3:p:651-672
    DOI: 10.1007/s11116-014-9518-5
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    Cited by:

    1. Habib, Khandker Nurul & Weiss, Adam & Hasnine, Sami, 2018. "On the heterogeneity and substitution patterns in mobility tool ownership choices of post-secondary students: The case of Toronto," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 650-665.
    2. Hasnine, Md Sami & Lin, Tian Yang & Weiss, Adam & Habib, Khandker Nurul, 2016. "Evaluating Impacts of TDM Policies Through Before-After Travel Survey: Application of Data Fusion for Discrete Choice Modelling," 57th Transportation Research Forum (51st CTRF) Joint Conference, Toronto, Ontario, May 1-4, 2016 319269, Transportation Research Forum.
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    5. Akiko Sakanishi, 2020. "Urban commuting behavior and time allocation among women: Evidence from US metropolitan areas," Regional Science Policy & Practice, Wiley Blackwell, vol. 12(2), pages 349-363, April.
    6. Hu, Yang & van Wee, Bert & Ettema, Dick, 2023. "Intra-household decisions and the impact of the built environment on activity-travel behavior: A review of the literature," Journal of Transport Geography, Elsevier, vol. 106(C).
    7. Allen, Jeff & Farber, Steven, 2020. "Suburbanization of transport poverty," SocArXiv hkpfj, Center for Open Science.
    8. Liu, Yang & Ji, Yanjie & Shi, Zhuangbin & He, Baohong & Liu, Qiyang, 2018. "Investigating the effect of the spatial relationship between home, workplace and school on parental chauffeurs’ daily travel mode choice," Transport Policy, Elsevier, vol. 69(C), pages 78-87.
    9. Liangpeng Gao & Yanjie Ji & Xingchen Yan & Yao Fan & Weihong Guo, 2021. "Incentive measures to avoid the illegal parking of dockless shared bikes: the relationships among incentive forms, intensity and policy compliance," Transportation, Springer, vol. 48(2), pages 1033-1060, April.
    10. Zohreh Rashedi & Md Sami Hasnine & Khandker Nurul Habib, 2022. "Modelling second-best choices from the choice-based sample: revelation of potential mode-switching behaviour from transit passenger surveys," Public Transport, Springer, vol. 14(3), pages 609-633, October.

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