IDEAS home Printed from https://ideas.repec.org/a/sae/envirb/v48y2021i7p2055-2072.html
   My bibliography  Save this article

The impact of bike network indicators on bike kilometers traveled and bike safety: A network theory approach

Author

Listed:
  • Mohamed Bayoumi Kamel
  • Tarek Sayed

Abstract

There has been recent interest in the use of network analysis to quantify bike network features and their impact on biking levels and safety. However, limited bike network indicators have been evaluated. This study introduces a list of network indicators to quantify the bike network and study its effect on bike kilometers traveled and bike–vehicle crashes. Data from the city of Vancouver, Canada, are used as a case study. Full Bayesian modeling incorporating spatial effects is employed to develop Bike Kilometers Travelled (BKT) and bike–vehicle crash models. The developed BKT models show that the bike network centrality, assortativity, and weighted slope have negative associations with BKT, while the bike network directness, length, complexity and development, and connectivity have positive associations with BKT. The developed crash models show that the bike network length, centrality, assortativity, and continuity have negative associations with bike–vehicle crashes. On the other hand, the bike network complexity and development, connectivity, and linearity have positive associations with bike–vehicle crashes. The models provide insights that can be useful for planning bike networks to increase bike traffic and improve bike safety. The models also show that some changes to a bike network to increase bike traffic should be accompanied by crash risk-mitigating measures. As well, the models can be used to identify zones within a city that require safety improvements.

Suggested Citation

  • Mohamed Bayoumi Kamel & Tarek Sayed, 2021. "The impact of bike network indicators on bike kilometers traveled and bike safety: A network theory approach," Environment and Planning B, , vol. 48(7), pages 2055-2072, September.
    • Handle: RePEc:sae:envirb:v:48:y:2021:i:7:p:2055-2072
    DOI: 10.1177/2399808320964469
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/2399808320964469
    Download Restriction: no
    File URL: https://libkey.io/10.1177/2399808320964469?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Zhang, Yuanyuan & Bigham, John & Ragland, David & Chen, Xiaohong, 2015. "Investigating the associations between road network structure and non-motorist accidents," Journal of Transport Geography, Elsevier, vol. 42(C), pages 34-47.
    2. Ralph Buehler & John Pucher, 2012. "Cycling to work in 90 large American cities: new evidence on the role of bike paths and lanes," Transportation, Springer, vol. 39(2), pages 409-432, March.
    3. Osama, Ahmed & Sayed, Tarek & Bigazzi, Alexander Y., 2017. "Models for estimating zone-level bike kilometers traveled using bike network, land use, and road facility variables," Transportation Research Part A: Policy and Practice, Elsevier, vol. 96(C), pages 14-28.
    4. Jessica Schoner & David Levinson, 2014. "The missing link: bicycle infrastructure networks and ridership in 74 US cities," Transportation, Springer, vol. 41(6), pages 1187-1204, November.
    5. Chen, L. & Chen, C. & Srinivasan, R. & McKnight, C.E. & Ewing, R. & Roe, M., 2012. "Evaluating the safety effects of bicycle lanes in New York City," American Journal of Public Health, American Public Health Association, vol. 102(6), pages 1120-1127.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Morteza Hossein Sabbaghian & David Llopis-Castelló & Alfredo García, 2023. "A Safe Infrastructure for Micromobility: The Current State of Knowledge," Sustainability, MDPI, vol. 15(13), pages 1-20, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ben Beck & Meghan Winters & Trisalyn Nelson & Chris Pettit & Simone Z Leao & Meead Saberi & Jason Thompson & Sachith Seneviratne & Kerry Nice & Mark Stevenson, 2023. "Developing urban biking typologies: Quantifying the complex interactions of bicycle ridership, bicycle network and built environment characteristics," Environment and Planning B, , vol. 50(1), pages 7-23, January.
    2. Arellana, Julián & Saltarín, María & Larrañaga, Ana Margarita & González, Virginia I. & Henao, César Augusto, 2020. "Developing an urban bikeability index for different types of cyclists as a tool to prioritise bicycle infrastructure investments," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 310-334.
    3. Beck, Ben & Pettit, Christopher & Winters, Meghan & Nelson, Trisalyn & Vu, Hai & Nice, Kerry A & Seneviratne, Sachith & Saberi, Meead, 2021. "Association between network characteristics and bicycle ridership across a large metropolitan region," OSF Preprints 39ke6, Center for Open Science.
    4. Hwachyi Wang & S. K. Jason Chang & Hans De Backer & Dirk Lauwers & Philippe De Maeyer, 2019. "Integrating Spatial and Temporal Approaches for Explaining Bicycle Crashes in High-Risk Areas in Antwerp (Belgium)," Sustainability, MDPI, vol. 11(13), pages 1-28, July.
    5. Osama, Ahmed & Sayed, Tarek & Bigazzi, Alexander Y., 2017. "Models for estimating zone-level bike kilometers traveled using bike network, land use, and road facility variables," Transportation Research Part A: Policy and Practice, Elsevier, vol. 96(C), pages 14-28.
    6. Faghih Imani, Ahmadreza & Miller, Eric J. & Saxe, Shoshanna, 2019. "Cycle accessibility and level of traffic stress: A case study of Toronto," Journal of Transport Geography, Elsevier, vol. 80(C).
    7. Mogens Fosgerau & Miroslawa Lukawska & Mads Paulsen & Thomas Kj{ae}r Rasmussen, 2022. "Bikeability and the induced demand for cycling," Papers 2210.02504, arXiv.org, revised Dec 2022.
    8. Parthasarathi, Pavithra & Levinson, David, 2018. "Network structure and the journey to work: An intra-metropolitan analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 292-304.
    9. Wang, Hwachyi & De Backer, Hans & Lauwers, Dirk & Chang, S.K.Jason, 2019. "A spatio-temporal mapping to assess bicycle collision risks on high-risk areas (Bridges) - A case study from Taipei (Taiwan)," Journal of Transport Geography, Elsevier, vol. 75(C), pages 94-109.
    10. Mateo-Babiano, Iderlina & Bean, Richard & Corcoran, Jonathan & Pojani, Dorina, 2016. "How does our natural and built environment affect the use of bicycle sharing?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 295-307.
    11. Xie, Kun & Ozbay, Kaan & Yang, Di & Xu, Chuan & Yang, Hong, 2021. "Modeling bicycle crash costs using big data: A grid-cell-based Tobit model with random parameters," Journal of Transport Geography, Elsevier, vol. 91(C).
    12. Downward, Paul & Rasciute, Simona, 2015. "Assessing the impact of the National Cycle Network and physical activity lifestyle on cycling behaviour in England," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 425-437.
    13. Götschi, Thomas & Hintermann, Beat, 2013. "Valuation of public investment to support bicycling (FV-09)," Working papers 2013/02, Faculty of Business and Economics - University of Basel.
    14. Brendan Murphy & David Levinson & Andrew Owen, 2015. "Accessibility and Centrality Based Estimation of Urban Pedestrian Activity," Working Papers 000143, University of Minnesota: Nexus Research Group.
    15. Ospina, Juan P. & Duque, Juan C. & Botero-Fernández, Verónica & Montoya, Alejandro, 2022. "The maximal covering bicycle network design problem," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 222-236.
    16. Paulsen, Mads & Rich, Jeppe, 2023. "Societally optimal expansion of bicycle networks," Transportation Research Part B: Methodological, Elsevier, vol. 174(C).
    17. Hong, Jinhyun & Philip McArthur, David & Stewart, Joanna L., 2020. "Can providing safe cycling infrastructure encourage people to cycle more when it rains? The use of crowdsourced cycling data (Strava)," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 109-121.
    18. Jonas Larsen, 2017. "The making of a pro-cycling city: Social practices and bicycle mobilities," Environment and Planning A, , vol. 49(4), pages 876-892, April.
    19. Lei Kang & Jon Fricker, 2013. "Bicyclist commuters’ choice of on-street versus off-street route segments," Transportation, Springer, vol. 40(5), pages 887-902, September.
    20. Orvin, Muntahith Mehadil & Fatmi, Mahmudur Rahman & Chowdhury, Subeh, 2021. "Taking another look at cycling demand modeling: A comparison between two cities in Canada and New Zealand," Journal of Transport Geography, Elsevier, vol. 97(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:envirb:v:48:y:2021:i:7:p:2055-2072. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.