IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i13p3746-d246803.html
   My bibliography  Save this article

Integrating Spatial and Temporal Approaches for Explaining Bicycle Crashes in High-Risk Areas in Antwerp (Belgium)

Author

Listed:
  • Hwachyi Wang

    (Department of Civil Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan
    Center for Mobility and Spatial Planning, Ghent University, Sint-Pietersnieuwstraat 41 B2, B-9000 Gent, Belgium
    Department of Civil Engineering, Technologiepark Zwijnaarde 904, Ghent University, B-9052 Zwijnaarde, Belgium)

  • S. K. Jason Chang

    (Department of Civil Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan)

  • Hans De Backer

    (Department of Civil Engineering, Technologiepark Zwijnaarde 904, Ghent University, B-9052 Zwijnaarde, Belgium)

  • Dirk Lauwers

    (Center for Mobility and Spatial Planning, Ghent University, Sint-Pietersnieuwstraat 41 B2, B-9000 Gent, Belgium
    Department of Civil Engineering, Technologiepark Zwijnaarde 904, Ghent University, B-9052 Zwijnaarde, Belgium)

  • Philippe De Maeyer

    (Department of Geography, Krijgslaan 281 S8, Ghent University, B-9000 Gent, Belgium)

Abstract

The majority of bicycle crash studies aim at determining risk factors and estimating crash risks by employing statistics. Accordingly, the goal of this paper is to evaluate bicycle–motor vehicle crashes by using spatial and temporal approaches to statistical data. The spatial approach (a weighted kernel density estimation approach) preliminarily estimates crash risks at the macro level, thereby avoiding the expensive work of collecting traffic counts; meanwhile, the temporal approach (negative binomial regression approach) focuses on crash data that occurred on urban arterials and includes traffic exposure at the micro level. The crash risk and risk factors of arterial roads associated with bicycle facilities and road environments were assessed using a database built from field surveys and five government agencies. This study analysed 4120 geocoded bicycle crashes in the city of Antwerp (CA, Belgium). The data sets covered five years (2014 to 2018), including all bicycle–motorized vehicle (BMV) crashes from police reports. Urban arterials were highlighted as high-risk areas through the spatial approach. This was as expected given that, due to heavy traffic and limited road space, bicycle facilities on arterial roads face many design problems. Through spatial and temporal approaches, the environmental characteristics of bicycle crashes on arterial roads were analysed at the micro level. Finally, this paper provides an insight that can be used by both the geography and transport fields to improve cycling safety on urban arterial roads.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:13:p:3746-:d:246803
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/13/3746/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/13/3746/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Nankervis, Max, 1999. "The effect of weather and climate on bicycle commuting," Transportation Research Part A: Policy and Practice, Elsevier, vol. 33(6), pages 417-431, August.
    3. 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.
    4. Sergio Useche & Luis Montoro & Francisco Alonso & Oscar Oviedo-Trespalacios, 2018. "Infrastructural and Human Factors Affecting Safety Outcomes of Cyclists," Sustainability, MDPI, vol. 10(2), pages 1-11, January.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. Tom Thomas & Rinus Jaarsma & Bas Tutert, 2013. "Exploring temporal fluctuations of daily cycling demand on Dutch cycle paths: the influence of weather on cycling," Transportation, Springer, vol. 40(1), pages 1-22, January.
    12. Jestico, Ben & Nelson, Trisalyn & Winters, Meghan, 2016. "Mapping ridership using crowdsourced cycling data," Journal of Transport Geography, Elsevier, vol. 52(C), pages 90-97.
    13. 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.
    14. 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.
    15. 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.
    16. 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).
    17. Proulx, Frank, 2014. "Methods and Technologies for Pedestrian and Bicycle Volume Data Collection," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt06z8t1h3, Institute of Transportation Studies, UC Berkeley.
    18. 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.
    19. Dominique Lord & Srinivas Reddy Geedipally & Seth D. Guikema, 2010. "Extension of the Application of Conway‐Maxwell‐Poisson Models: Analyzing Traffic Crash Data Exhibiting Underdispersion," Risk Analysis, John Wiley & Sons, vol. 30(8), pages 1268-1276, August.
    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. Tibor Sipos & Anteneh Afework Mekonnen & Zsombor Szabó, 2021. "Spatial Econometric Analysis of Road Traffic Crashes," Sustainability, MDPI, vol. 13(5), pages 1-16, February.

    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. 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.
    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. 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.
    4. 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).
    5. de Kruijf, Joost & van der Waerden, Peter & Feng, Tao & Böcker, Lars & van Lierop, Dea & Ettema, Dick & Dijst, Martin, 2021. "Integrated weather effects on e-cycling in daily commuting: A longitudinal evaluation of weather effects on e-cycling in the Netherlands," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 305-315.
    6. 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.
    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. Vandenbulcke, Grégory & Dujardin, Claire & Thomas, Isabelle & Geus, Bas de & Degraeuwe, Bart & Meeusen, Romain & Panis, Luc Int, 2011. "Cycle commuting in Belgium: Spatial determinants and 're-cycling' strategies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(2), pages 118-137, February.
    9. Wessel, Jan, 2020. "Using weather forecasts to forecast whether bikes are used," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 537-559.
    10. Li, Xiaomeng & Pooyan Afghari, Amir & Oviedo-Trespalacios, Oscar & Kaye, Sherrie-Anne & Haworth, Narelle, 2023. "Cyclists perception and self-reported behaviour towards interacting with fully automated vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    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. 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.
    13. Wadud, Zia, 2014. "Cycling in a changed climate," Journal of Transport Geography, Elsevier, vol. 35(C), pages 12-20.
    14. Rafael Hologa & Nils Riach, 2020. "Approaching Bike Hazards via Crowdsourcing of Volunteered Geographic Information," Sustainability, MDPI, vol. 12(17), pages 1-14, August.
    15. McArthur, David Philip & Hong, Jinhyun, 2019. "Visualising where commuting cyclists travel using crowdsourced data," Journal of Transport Geography, Elsevier, vol. 74(C), pages 233-241.
    16. Zeng, Qiang & Wen, Huiying & Huang, Helai & Wang, Jie & Lee, Jinwoo, 2020. "Analysis of crash frequency using a Bayesian underreporting count model with spatial correlation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    17. 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.
    18. 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).
    19. Bucher, Dominik & Buffat, René & Froemelt, Andreas & Raubal, Martin, 2019. "Energy and greenhouse gas emission reduction potentials resulting from different commuter electric bicycle adoption scenarios in Switzerland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    20. Adsule, Poonam & Kadali, B Raghuram, 2024. "Analysis of contributing factors in decision to bicycle in developing countries context," Transport Policy, Elsevier, vol. 147(C), pages 50-58.

    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:gam:jsusta:v:11:y:2019:i:13:p:3746-:d:246803. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.