IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i12p6945-d578565.html
   My bibliography  Save this article

An Analysis of Factors Affecting the Severity of Cycling Crashes Using Binary Regression Model

Author

Listed:
  • Ahmed Jaber

    (Department of Transportation Engineering and Economics, Faculty of Transportation Engineering and Vehicle, Engineering, Budapest University of Technology and Economics, 1111 Budapest, Hungary)

  • János Juhász

    (Department of Transportation Engineering and Economics, Faculty of Transportation Engineering and Vehicle, Engineering, Budapest University of Technology and Economics, 1111 Budapest, Hungary)

  • Bálint Csonka

    (Department of Transportation Engineering and Economics, Faculty of Transportation Engineering and Vehicle, Engineering, Budapest University of Technology and Economics, 1111 Budapest, Hungary)

Abstract

The increasing use of bicycles rises the interest in investigating the safety aspects of daily commuting. In this investigation, more than 14,000 cyclists’ injuries were analyzed to determine the relationship between severity, road infrastructure characteristics, and surface conditions using binary regression. Minor and major severity categories were distinguished. A binary equation consists of 28 factors is extracted. It has been found that each factor related to roadway characteristics has its negative and positive impacts on cyclist severity such as traffic control, location type, topography, and roadway divisions. Regarding the road surface components, good, paved, and marked roads are associated with a higher probability of major injuries due to the expected greater frequencies of cyclists on roads with good conditions. In conclusion, probabilities of major injuries are higher in urban areas, higher speed limits, signalized intersections, inclined topographies, one-way roads, and during the daytime which require more attention and better considerations.

Suggested Citation

  • Ahmed Jaber & János Juhász & Bálint Csonka, 2021. "An Analysis of Factors Affecting the Severity of Cycling Crashes Using Binary Regression Model," Sustainability, MDPI, vol. 13(12), pages 1-12, June.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:12:p:6945-:d:578565
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/12/6945/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/12/6945/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pedro Plasencia-Lozano, 2021. "Evaluation of a New Urban Cycling Infrastructure in Caceres (Spain)," Sustainability, MDPI, vol. 13(4), pages 1-19, February.
    2. Green, Colin P. & Heywood, John S. & Navarro, María, 2016. "Traffic accidents and the London congestion charge," Journal of Public Economics, Elsevier, vol. 133(C), pages 11-22.
    3. Griswold, Julia B. & Medury, Aditya & Schneider, Robert J., 2011. "Pilot Models for Estimating Bicycle Intersection Volumes," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt380855q6, Institute of Transportation Studies, UC Berkeley.
    4. Lars Böcker & Patrick Amen & Marco Helbich, 2017. "Elderly travel frequencies and transport mode choices in Greater Rotterdam, the Netherlands," Transportation, Springer, vol. 44(4), pages 831-852, July.
    5. Xingchen Yan & Tao Wang & Jun Chen & Xiaofei Ye & Zhen Yang & Hua Bai, 2019. "Analysis of the Characteristics and Number of Bicycle–Passenger Conflicts at Bus Stops for Improving Safety," Sustainability, MDPI, vol. 11(19), pages 1-14, September.
    6. Chengcheng Wu & Dawei Chen & Ye Chen, 2020. "Bicycle-Vehicle Conflict Risk Based on Cyclist Perceptions: Misestimations of Various Risk Factors," Sustainability, MDPI, vol. 12(23), pages 1-12, November.
    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. Cheng-Yong Huang, 2021. "Risk Factors Analysis of Car Door Crashes Based on Logistic Regression," Sustainability, MDPI, vol. 13(18), pages 1-13, September.
    2. Filip Filipović & Dušan Mladenović & Krsto Lipovac & Dillip Kumar Das & Bojana Todosijević, 2022. "Determining Risk Factors That Influence Cycling Crash Severity, for the Purpose of Setting Sustainable Cycling Mobility," Sustainability, MDPI, vol. 14(20), pages 1-15, October.
    3. Piotr Jaskowski & Piotr Tomczuk & Marcin Chrzanowicz, 2022. "Construction of a Measurement System with GPS RTK for Operational Control of Street Lighting," Energies, MDPI, vol. 15(23), pages 1-22, December.
    4. Mohammadreza Koloushani & Seyed Reza Abazari & Omer Arda Vanli & Eren Erman Ozguven & Ren Moses & Rupert Giroux & Benjamin Jacobs, 2023. "Determination of Optimal Spatial Sample Sizes for Fitting Negative Binomial-Based Crash Prediction Models with Consideration of Statistical Modeling Assumptions," Sustainability, MDPI, vol. 15(20), pages 1-16, October.

    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. Andrea Baranzini & Stefano Carattini & Linda Tesauro, 2021. "Designing Effective and Acceptable Road Pricing Schemes: Evidence from the Geneva Congestion Charge," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 79(3), pages 417-482, July.
    2. Su, Rongxiang & Xiao, Jingyi & McBride, Elizabeth C. & Goulias, Konstadinos G., 2021. "Understanding senior's daily mobility patterns in California using human mobility motifs," Journal of Transport Geography, Elsevier, vol. 94(C).
    3. Li, Tianshu & Song, Shunfeng & Yang, Yanmin, 2022. "Driving restrictions, traffic speeds and carbon emissions: Evidence from high-frequency data," China Economic Review, Elsevier, vol. 74(C).
    4. Lana Krehic, 2022. "How do increases in electric vehicle use affect urban toll ring prices?," Public Choice, Springer, vol. 193(3), pages 187-209, December.
    5. Kent, Jennifer L. & Mulley, Corinne & Stevens, Nick, 2020. "Challenging policies that prohibit public transport use: Travelling with pets as a case study," Transport Policy, Elsevier, vol. 99(C), pages 86-94.
    6. Tyndall, Justin, 2021. "Pedestrian deaths and large vehicles," Economics of Transportation, Elsevier, vol. 26.
    7. Abdul Rais Abdul Latiff & Saidatulakmal Mohd, 2023. "Transport, Mobility and the Wellbeing of Older Adults: An Exploration of Private Chauffeuring and Companionship Services in Malaysia," IJERPH, MDPI, vol. 20(3), pages 1-17, February.
    8. Ashley R. Coles & Kyle E. Walker, 2021. "Assessing motorist behavior during flash floods in Tucson, Arizona," Transportation, Springer, vol. 48(6), pages 3037-3057, December.
    9. Alattar, Mohammad Anwar & Cottrill, Caitlin & Beecroft, Mark, 2021. "Public participation geographic information system (PPGIS) as a method for active travel data acquisition," Journal of Transport Geography, Elsevier, vol. 96(C).
    10. Roesel, Felix, 2017. "Do mergers of large local governments reduce expenditures? – Evidence from Germany using the synthetic control method," European Journal of Political Economy, Elsevier, vol. 50(C), pages 22-36.
    11. Yang, Yongjiang & Sasaki, Kuniaki & Cheng, Long & Tao, Sui, 2022. "Does the built environment matter for active travel among older adults: Insights from Chiba City, Japan," Journal of Transport Geography, Elsevier, vol. 101(C).
    12. Eliasson, Jonas, 2017. "Congestion pricing," MPRA Paper 88224, University Library of Munich, Germany.
    13. Mariano Gallo & Mario Marinelli, 2020. "Sustainable Mobility: A Review of Possible Actions and Policies," Sustainability, MDPI, vol. 12(18), pages 1-39, September.
    14. Cheng, Long & Shi, Kunbo & De Vos, Jonas & Cao, Mengqiu & Witlox, Frank, 2021. "Examining the spatially heterogeneous effects of the built environment on walking among older adults," Transport Policy, Elsevier, vol. 100(C), pages 21-30.
    15. Johanna Cresswell-Smith & Kristian Wahlbeck & Jorid Kalseth, 2022. "Life Conditions as Mediators of Welfare State Effect on Mental Wellbeing among Oldest Old in Europe," IJERPH, MDPI, vol. 19(7), pages 1-19, April.
    16. 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.
    17. Wang, Xize & Lindsey, Greg & Hankey, Steve & Hoff, Kris, 2014. "Estimating Mixed-Mode Urban Trail Traffic Using Negative Binomial Regression Models," SocArXiv evpfq, Center for Open Science.
    18. Hou, Yuting & Yap, Winston & Chua, Rochelle & Song, Siqi & Yuen, Belinda, 2020. "The associations between older adults’ daily travel pattern and objective and perceived built environment: A study of three neighbourhoods in Singapore," Transport Policy, Elsevier, vol. 99(C), pages 314-328.
    19. Tang, Cheng Keat, 2021. "The Cost of Traffic: Evidence from the London Congestion Charge," Journal of Urban Economics, Elsevier, vol. 121(C).
    20. Shr, Yau-Huo & Hsu, Wen & Hwang, Bing-Fang & Jung, Chau-Ren, 2023. "Air quality and risky behaviors on roads," Journal of Environmental Economics and Management, Elsevier, vol. 118(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:gam:jsusta:v:13:y:2021:i:12:p:6945-:d:578565. 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.