IDEAS home Printed from https://ideas.repec.org/a/eee/jotrge/v75y2019icp94-109.html
   My bibliography  Save this article

A spatio-temporal mapping to assess bicycle collision risks on high-risk areas (Bridges) - A case study from Taipei (Taiwan)

Author

Listed:
  • Wang, Hwachyi
  • De Backer, Hans
  • Lauwers, Dirk
  • Chang, S.K.Jason

Abstract

Most bicycle collision studies aim to identify contributing factors and calculate risks based on statistical data (Loidl et al., 2016). The aim of this paper is to follow this approach, focusing on bicycle-motorized vehicle (BMV) collisions through a spatio-temporal workflow. For the spatial dimension (Kernel Density Estimation (KDE) method), a general estimation of the collision risks was obtained and the labour-intensive work of collecting counting data was avoided on the macro-scale level. The temporal dimension (negative binomial modeling method) focused on data from collisions occurring on bridges, enabling the inclusion of traffic exposure (counting data on the micro-scale level). Bridge collision risks and contributing factors related to road environment and cycling facilities were estimated using databases from eight government authorities and field investigation.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:jotrge:v:75:y:2019:i:c:p:94-109
    DOI: 10.1016/j.jtrangeo.2019.01.014
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0966692318301455
    Download Restriction: no
    File URL: https://libkey.io/10.1016/j.jtrangeo.2019.01.014?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. AERTSENS, Joris & de GEUS, Bas & VANDEBULCKE, Grégory & De GRAEUWE, Bart, 2010. "Commuting by bike in Belgium, the costs of minor accidents," LIDAM Reprints CORE 2231, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. Vandenbulcke, Grégory & Thomas, Isabelle & de Geus, Bas & Degraeuwe, Bart & Torfs, Rudi & Meeusen, Romain & Int Panis, Luc, 2009. "Mapping bicycle use and the risk of accidents for commuters who cycle to work in Belgium," Transport Policy, Elsevier, vol. 16(2), pages 77-87, March.
    4. 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.
    5. Teschke, K. & Harris, M.A. & Reynolds, C.C.O. & Winters, M. & Babul, S. & Chipman, M. & Cusimano, M.D. & Brubacher, J.R. & Hunte, G. & Friedman, S.M. & Monro, M. & Shen, H. & Vernich, L. & Cripton, P., 2012. "Route infrastructure and the risk of injuries to bicyclists: A case-crossover study," American Journal of Public Health, American Public Health Association, vol. 102(12), pages 2336-2343.
    6. Jestico, Ben & Nelson, Trisalyn & Winters, Meghan, 2016. "Mapping ridership using crowdsourced cycling data," Journal of Transport Geography, Elsevier, vol. 52(C), pages 90-97.
    7. Jiang, Hang & Ma, Yongjian & Jiang, Lin & Chen, Guozhou & Wang, Dongwei, 2018. "Evaluation of the dispersion effect in through movement bicycles at signalized intersection via cellular automata simulation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 498(C), pages 138-147.
    8. Gamble, Julie & Snizek, Bernhard & Nielsen, Thomas Sick, 2017. "From people to cycling indicators: Documenting and understanding the urban context of cyclists' experiences in Quito, Ecuador," Journal of Transport Geography, Elsevier, vol. 60(C), pages 167-177.
    9. Loidl, Martin & Traun, Christoph & Wallentin, Gudrun, 2016. "Spatial patterns and temporal dynamics of urban bicycle crashes—A case study from Salzburg (Austria)," Journal of Transport Geography, Elsevier, vol. 52(C), pages 38-50.
    10. Lord, Dominique & Mannering, Fred, 2010. "The statistical analysis of crash-frequency data: A review and assessment of methodological alternatives," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(5), pages 291-305, June.
    11. Spencer, Phoebe & Watts, Richard & Vivanco, Luis & Flynn, Brian, 2013. "The effect of environmental factors on bicycle commuters in Vermont: influences of a northern climate," Journal of Transport Geography, Elsevier, vol. 31(C), pages 11-17.
    12. Ryus, Paul & Ferguson, Erin & Laustsen, Kelly M. & Schneider, Robert J. & Proulx, Frank R. & Hull, Tony & Miranda-Moreno, Luis, 2014. "Guidebook on Pedestrian and Bicycle Volume Data Collection," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt11q5p33w, Institute of Transportation Studies, UC Berkeley.
    13. de GEUS, Bas & VANDENBULCKE, Grégory & INT PANIS, Luc & THOMAS, Isabelle, 2012. "A prospective cohort study on minor accidents involving commuter cyclists in Belgium," LIDAM Reprints CORE 2416, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    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. 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.

    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. 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.
    2. Loidl, Martin & Traun, Christoph & Wallentin, Gudrun, 2016. "Spatial patterns and temporal dynamics of urban bicycle crashes—A case study from Salzburg (Austria)," Journal of Transport Geography, Elsevier, vol. 52(C), pages 38-50.
    3. Sun, Chenshuo & Pei, Xin & Hao, Junheng & Wang, Yewen & Zhang, Zuo & Wong, S.C., 2018. "Role of road network features in the evaluation of incident impacts on urban traffic mobility," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 101-116.
    4. Milne, Dave & Watling, David, 2019. "Big data and understanding change in the context of planning transport systems," Journal of Transport Geography, Elsevier, vol. 76(C), pages 235-244.
    5. Gabriele Prati & Víctor Marín Puchades & Marco De Angelis & Federico Fraboni & Luca Pietrantoni, 2018. "Factors contributing to bicycle–motorised vehicle collisions: a systematic literature review," Transport Reviews, Taylor & Francis Journals, vol. 38(2), pages 184-208, March.
    6. Anne C. Lusk & Walter C. Willett & Vivien Morris & Christopher Byner & Yanping Li, 2019. "Bicycle Facilities Safest from Crime and Crashes: Perceptions of Residents Familiar with Higher Crime/Lower Income Neighborhoods in Boston," IJERPH, MDPI, vol. 16(3), pages 1-21, February.
    7. Van Holle, Veerle & Van Cauwenberg, Jelle & Deforche, Benedicte & Goubert, Liesbet & Maes, Lea & Nasar, Jack & Van de Weghe, Nico & Salmon, Jo & De Bourdeaudhuij, Ilse, 2014. "Environmental invitingness for transport-related cycling in middle-aged adults: A proof of concept study using photographs," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 432-446.
    8. Rafael Hologa & Nils Riach, 2020. "Approaching Bike Hazards via Crowdsourcing of Volunteered Geographic Information," Sustainability, MDPI, vol. 12(17), pages 1-14, August.
    9. Munira, Sirajum & Sener, Ipek N., 2020. "A geographically weighted regression model to examine the spatial variation of the socioeconomic and land-use factors associated with Strava bike activity in Austin, Texas," Journal of Transport Geography, Elsevier, vol. 88(C).
    10. Guillermo Mateu & Alberto Sanz, 2021. "Public Policies to Promote Sustainable Transports: Lessons from Valencia," Sustainability, MDPI, vol. 13(3), pages 1-17, January.
    11. Luís Rita & Miguel Peliteiro & Tudor-Codrin Bostan & Tiago Tamagusko & Adelino Ferreira, 2023. "Using Deep Learning and Google Street View Imagery to Assess and Improve Cyclist Safety in London," Sustainability, MDPI, vol. 15(13), pages 1-26, June.
    12. Blazquez, Carola A. & Calderón, Juan Felipe & Puelma, Isabel, 2020. "Towards a safe and sustainable mobility: Spatial-temporal analysis of bicycle crashes in Chile," Journal of Transport Geography, Elsevier, vol. 87(C).
    13. 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.
    14. Rachel Aldred & Georgios Kapousizis & Anna Goodman, 2021. "Association of Infrastructure and Route Environment Factors with Cycling Injury Risk at Intersection and Non-Intersection Locations: A Case-Crossover Study of Britain," IJERPH, MDPI, vol. 18(6), pages 1-17, March.
    15. 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).
    16. Li, Jia & Li, Chengqian & Zhao, Xiaohua & Wang, Xuesong, 2024. "Do road network patterns and points of interest influence bicycle safety? Evidence from dockless bike sharing in China and policy implications for traffic safety planning," Transport Policy, Elsevier, vol. 149(C), pages 21-35.
    17. Md Mintu Miah & Kate Kyung Hyun & Stephen P. Mattingly & Hannan Khan, 2023. "Estimation of daily bicycle traffic using machine and deep learning techniques," Transportation, Springer, vol. 50(5), pages 1631-1684, October.
    18. Najaf, Pooya & Thill, Jean-Claude & Zhang, Wenjia & Fields, Milton Greg, 2018. "City-level urban form and traffic safety: A structural equation modeling analysis of direct and indirect effects," Journal of Transport Geography, Elsevier, vol. 69(C), pages 257-270.
    19. Buddhavarapu, Prasad & Bansal, Prateek & Prozzi, Jorge A., 2021. "A new spatial count data model with time-varying parameters," Transportation Research Part B: Methodological, Elsevier, vol. 150(C), pages 566-586.
    20. Pucher, John & Buehler, Ralph & Seinen, Mark, 2011. "Bicycling renaissance in North America? An update and re-appraisal of cycling trends and policies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(6), pages 451-475, July.

    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:eee:jotrge:v:75:y:2019:i:c:p:94-109. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-transport-geography .

    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.