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Using spatial network analysis to model pedal cycle flows, risk and mode choice

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  • Cooper, Crispin H.V.

Abstract

Spatial network analysis (SpNA) provides a promising alternative to traditional transport models for the modelling of active travel, because walking and cycling behaviour is influenced by features smaller than the scale of zones in a traditional model. There is currently a need for link-level, city wide modelling of cycling, both to ensure the needs of existing cyclists are catered for in planning, and to model the effects of changing infrastructure in shaping cyclist behaviour. Existing SpNA models treat cyclists and car drivers as if they make navigational decisions in a similar way, which in reality is not the case.

Suggested Citation

  • Cooper, Crispin H.V., 2017. "Using spatial network analysis to model pedal cycle flows, risk and mode choice," Journal of Transport Geography, Elsevier, vol. 58(C), pages 157-165.
    • Handle: RePEc:eee:jotrge:v:58:y:2017:i:c:p:157-165
    DOI: 10.1016/j.jtrangeo.2016.12.003
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    Cited by:

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    3. Liu, Chengxi & Tapani, Andreas & Kristoffersson, Ida & Rydergren, Clas & Jonsson, Daniel, 2020. "Development of a large-scale transport model with focus on cycling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 134(C), pages 164-183.
    4. Yat Yen & Pengjun Zhao & Muhammad T Sohail, 2021. "The morphology and circuity of walkable, bikeable, and drivable street networks in Phnom Penh, Cambodia," Environment and Planning B, , vol. 48(1), pages 169-185, January.
    5. Ali Soltani & Andrew Allan & Masoud Javadpoor & Jaswanth Lella, 2022. "Space Syntax in Analysing Bicycle Commuting Routes in Inner Metropolitan Adelaide," Sustainability, MDPI, vol. 14(6), pages 1-13, March.
    6. Crispin H. V. Cooper & Ian Harvey & Scott Orford & Alain J. F. Chiaradia, 2021. "Using multiple hybrid spatial design network analysis to predict longitudinal effect of a major city centre redevelopment on pedestrian flows," Transportation, Springer, vol. 48(2), pages 643-672, April.

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