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Associations of built environment attributes with bicycle use for transport

Author

Listed:
  • Mohammad Javad Koohsari

    (Waseda University, Japan; Baker Heart and Diabetes Institute, Australia; Australian Catholic University, Australia)

  • Rachel Cole

    (5333University of the Sunshine Coast, Australia)

  • Koichiro Oka

    (Waseda University, Japan)

  • Ai Shibata

    (University of Tsukuba, Japan)

  • Akitomo Yasunaga

    (Bunka Gakuen University, Japan)

  • Tomoya Hanibuchi

    (Chukyo University, Japan; Portland State University, USA)

  • Neville Owen

    (Baker Heart and Diabetes Institute, Australia; Swinburne University of Technology, Australia)

  • Takemi Sugiyama

Abstract

An increasing number of studies have examined neighbourhood built environment attributes associated with cycling. Some of them suggest non-linear relationships between built environment attributes and cycling. This study examined the strength and shape of associations of cycling for transport with objectively measured built environment attributes. Data were from 9146 Australian adults who took part in the 2009 South-East Queensland Travel Survey. Participants (aged 18–64 years) completed a 24-hour travel survey, in which they reported modes of travel. Residential density, Walk Score and a Space Syntax measure of street integration were calculated at a neighbourhood level using geographic information systems. Multilevel logistic regression analyses examined associations of bicycle use with each built environment attribute, which was modelled continuously and categorically. All continuous measures of the built environment attributes were associated with bicycle use. Each one-decile increment in residential density, Walk Score, and street integration was associated with 13%, 16%, and 10% higher odds of bicycle use, respectively. However, the associations appeared to be non-linear, with significant odds ratios observed only for the higher categories of each built environment attribute relative to the middle category. This study found that adults living in high-density neighbourhoods with more destinations nearby and well-connected streets were more likely to cycle for transport. However, medium-level density, access to destinations and street connectivity may not be enough to facilitate bicycle use. Further studies are needed to investigate urban design threshold values above which cycling can be promoted.

Suggested Citation

  • Mohammad Javad Koohsari & Rachel Cole & Koichiro Oka & Ai Shibata & Akitomo Yasunaga & Tomoya Hanibuchi & Neville Owen & Takemi Sugiyama, 2020. "Associations of built environment attributes with bicycle use for transport," Environment and Planning B, , vol. 47(9), pages 1745-1757, November.
    • Handle: RePEc:sae:envirb:v:47:y:2020:i:9:p:1745-1757
    DOI: 10.1177/2399808319845006
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    References listed on IDEAS

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    1. Changjoo Kim & Olivier Parent & Rainer vom Hofe, 2018. "The role of peer effects and the built environment on individual travel behavior," Environment and Planning B, , vol. 45(3), pages 452-469, May.
    2. Buehler, Ralph, 2011. "Determinants of transport mode choice: a comparison of Germany and the USA," Journal of Transport Geography, Elsevier, vol. 19(4), pages 644-657.
    3. Ann Forsyth & Kevin Krizek, 2011. "Urban Design: Is there a Distinctive View from the Bicycle?," Journal of Urban Design, Taylor & Francis Journals, vol. 16(04), pages 531-549.
    4. Liang Ma & Jennifer Dill & Cynthia Mohr, 2014. "The objective versus the perceived environment: what matters for bicycling?," Transportation, Springer, vol. 41(6), pages 1135-1152, November.
    5. Salon, Deborah, 2016. "Estimating pedestrian and cyclist activity at the neighborhood scale," Journal of Transport Geography, Elsevier, vol. 55(C), pages 11-21.
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    2. Zhang, Lihong & Liu, Yan & Lieske, Scott N. & Corcoran, Jonathan, 2022. "Using modality styles to understand cycling dissonance: The role of the street-scale environment in commuters' travel mode choice," Journal of Transport Geography, Elsevier, vol. 103(C).
    3. Lili Yang & Simeng Fei & Hongfei Jia & Jingdong Qi & Luyao Wang & Xinning Hu, 2023. "Study on the Relationship between the Spatial Distribution of Shared Bicycle Travel Demand and Urban Built Environment," Sustainability, MDPI, vol. 15(18), pages 1-16, September.
    4. Fernando Fonseca & Paulo Ribeiro & Carolina Neiva, 2023. "A Planning Practice Method to Assess the Potential for Cycling and to Design a Bicycle Network in a Starter Cycling City in Portugal," Sustainability, MDPI, vol. 15(5), pages 1-17, March.

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