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Commuting mode choice in transit oriented development: Disentangling the effects of competitive neighbourhoods, travel attitudes, and self-selection

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  • Kamruzzaman, Md.
  • Shatu, Farjana Mostafiz
  • Hine, Julian
  • Turrell, Gavin

Abstract

This research identifies the commuting mode choice behaviour of 3537 adults living in different types of transit oriented development (TOD) in Brisbane by disentangling the effects of their “evil twin” transit adjacent developments (TADs), and by also controlling for residential self-selection, travel attitudes and preferences, and socio-demographic effects. A TwoStep cluster analysis was conducted to identify the natural groupings of respondents’ living environment based on six built environment indicators. The analysis resulted in five types of neighbourhoods: urban TODs, activity centre TODs, potential TODs, TADs, and traditional suburbs. HABITAT survey data were used to derive the commute mode choice behaviour of people living in these neighbourhoods. In addition, statements reflecting both respondents’ travel attitudes and living preferences were also collected as part of the survey. Factor analyses were conducted based on these statements and these derived factors were then used to control for residential self-selection. Four binary logistic regression models were estimated, one for each of the travel modes used (e.g. public transport, active transport, less sustainable transport such as the car/taxi, and other), to differentiate between the commuting behaviour of people living in the five types of neighbourhoods. The findings verify that urban TODs enhance the use of public transport and reduce car usage. No significant difference was found in the commuting behaviour between respondents living in traditional suburbs and TADs. The results confirm the hypothesis that TADs are the “evil twin” of TODs. The data indicates that TADs and the mode choices of residents in these neighbourhoods is a missed transport policy opportunity. Further policy efforts are required for a successive transition of TADs into TODs in order to realise the full benefits of these. TOD policy should also be integrated with context specific TOD design principles.

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  • Kamruzzaman, Md. & Shatu, Farjana Mostafiz & Hine, Julian & Turrell, Gavin, 2015. "Commuting mode choice in transit oriented development: Disentangling the effects of competitive neighbourhoods, travel attitudes, and self-selection," Transport Policy, Elsevier, vol. 42(C), pages 187-196.
    • Handle: RePEc:eee:trapol:v:42:y:2015:i:c:p:187-196
    DOI: 10.1016/j.tranpol.2015.06.003
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    16. Jarass, Julia & Scheiner, Joachim, 2018. "Residential self-selection and travel mode use in a new inner-city development neighbourhood in Berlin," Journal of Transport Geography, Elsevier, vol. 70(C), pages 68-77.
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    18. Arefeh Nasri & Lei Zhang, 2019. "How Urban Form Characteristics at Both Trip Ends Influence Mode Choice: Evidence from TOD vs. Non-TOD Zones of the Washington, D.C. Metropolitan Area," Sustainability, MDPI, vol. 11(12), pages 1-16, June.
    19. Shatu, Farjana & Yigitcanlar, Tan & Bunker, Jonathan, 2019. "Objective vs. subjective measures of street environments in pedestrian route choice behaviour: Discrepancy and correlates of non-concordance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 1-23.
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    22. Halpern, Nigel & Mwesiumo, Deodat & Budd, Thomas & Suau-Sanchez, Pere & Bråthen, Svein, 2021. "Segmentation of passenger preferences for using digital technologies at airports in Norway," Journal of Air Transport Management, Elsevier, vol. 91(C).

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