IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i12p7023-d834210.html
   My bibliography  Save this article

How Gender Affects Motor Vehicle Crashes: A Case Study from San Antonio, Texas

Author

Listed:
  • Khondoker Billah

    (School of Civil and Environmental Engineering and Construction Management, University of Texas at San Antonio, San Antonio, TX 78249, USA)

  • Hatim O. Sharif

    (Department of Civil and Environmental Engineering, University of Texas at San Antonio, San Antonio, TX 78249, USA)

  • Samer Dessouky

    (Department of Civil and Environmental Engineering, University of Texas at San Antonio, San Antonio, TX 78249, USA)

Abstract

Traffic crashes are among the leading causes of injuries and fatalities worldwide. The main assumption of this study is that traffic crash rates, injury severity, and driving behaviors differ by the driver’s gender. Utilizing ten years (2011–2020) of data from the Texas Crash Record and Information System database, this study investigates how some of the most prominent driving behaviors leading to crashes and severe injuries (distracted driving, speeding, lane departure, and driving under influence) vary by gender in San Antonio, Texas. The spatial distribution of crashes associated with these driving behaviors by gender is also investigated, as well as the influence of some environmental and temporal variables on crash frequency and injury severity. This study adopted bivariate analysis and logistic regression modeling to identify the effect of different variables on crash occurrence and severity by gender. Male drivers were more likely to be involved in a speeding/DUI/lane departure-related crash and subsequent severe injuries. However, female drivers were slightly more associated with distracted-driving crashes and subsequent injuries. Nighttime, interstate/highway roads, the weekend period, and divider/marked lanes as the primary traffic control significantly increased the crash and injury risk of male drivers. Driving behavior-related crashes were mostly concentrated on some interstate road segments, major intersections, and interchanges. The results from this study can be used by authorities and policy-makers to prioritize the use of limited resources, and to run more effective education campaigns to a targeted audience.

Suggested Citation

  • Khondoker Billah & Hatim O. Sharif & Samer Dessouky, 2022. "How Gender Affects Motor Vehicle Crashes: A Case Study from San Antonio, Texas," Sustainability, MDPI, vol. 14(12), pages 1-21, June.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:12:p:7023-:d:834210
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/12/7023/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/12/7023/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Khondoker Billah & Hatim O. Sharif & Samer Dessouky, 2021. "Analysis of Pedestrian–Motor Vehicle Crashes in San Antonio, Texas," Sustainability, MDPI, vol. 13(12), pages 1-23, June.
    2. Young, Jason & Park, Peter Y., 2014. "Hotzone identification with GIS-based post-network screening analysis," Journal of Transport Geography, Elsevier, vol. 34(C), pages 106-120.
    3. Sarah Marx Quintanar, 2017. "Man vs. machine: An investigation of speeding ticket disparities based on gender and race," Journal of Applied Economics, Universidad del CEMA, vol. 20, pages 1-28, May.
    4. Sarah Marx Quintanar, 2017. "Man Vs. Machine: An Investigation of Speeding Ticket Disparities Based on Gender and Race," Journal of Applied Economics, Taylor & Francis Journals, vol. 20(1), pages 1-28, May.
    5. Víctor Corcoba Magaña & Xabiel García Pañeda & Roberto Garcia & Sara Paiva & Laura Pozueco, 2021. "Beside and Behind the Wheel: Factors that Influence Driving Stress and Driving Behavior," Sustainability, MDPI, vol. 13(9), pages 1-17, April.
    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. Khondoker Billah & Hatim O. Sharif & Samer Dessouky, 2023. "Bivariate-Logit-Based Severity Analysis for Motorcycle Crashes in Texas, 2017–2021," Sustainability, MDPI, vol. 15(13), pages 1-26, 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. Khondoker Billah & Hatim O. Sharif & Samer Dessouky, 2023. "Bivariate-Logit-Based Severity Analysis for Motorcycle Crashes in Texas, 2017–2021," Sustainability, MDPI, vol. 15(13), pages 1-26, June.
    2. Khondoker Billah & Hatim O. Sharif & Samer Dessouky, 2021. "Analysis of Bicycle-Motor Vehicle Crashes in San Antonio, Texas," IJERPH, MDPI, vol. 18(17), pages 1-19, September.
    3. Khondoker Billah & Qasim Adegbite & Hatim O. Sharif & Samer Dessouky & Lauren Simcic, 2021. "Analysis of Intersection Traffic Safety in the City of San Antonio, 2013–2017," Sustainability, MDPI, vol. 13(9), pages 1-18, May.
    4. Delso, Javier & Martín, Belén & Ortega, Emilio, 2018. "A new procedure using network analysis and kernel density estimations to evaluate the effect of urban configurations on pedestrian mobility. The case study of Vitoria –Gasteiz," Journal of Transport Geography, Elsevier, vol. 67(C), pages 61-72.
    5. Ke Nie & Zhensheng Wang & Qingyun Du & Fu Ren & Qin Tian, 2015. "A Network-Constrained Integrated Method for Detecting Spatial Cluster and Risk Location of Traffic Crash: A Case Study from Wuhan, China," Sustainability, MDPI, vol. 7(3), pages 1-16, March.
    6. Rodrigues, Daniel Souto & Ribeiro, Paulo Jorge Gomes & da Silva Nogueira, Isabel Cristina, 2015. "Safety classification using GIS in decision-making process to define priority road interventions," Journal of Transport Geography, Elsevier, vol. 43(C), pages 101-110.
    7. Mohd Anjum & Sana Shahab, 2023. "Improving Autonomous Vehicle Controls and Quality Using Natural Language Processing-Based Input Recognition Model," Sustainability, MDPI, vol. 15(7), pages 1-21, March.
    8. Costa, Isabella & Rochedo, Pedro & Costa, Daniele & Ferreira, Paula & Araújo, Madalena & Schaeffer, Roberto & Szklo, Alexandre, 2019. "Placing hubs in CO2 pipelines: An application to industrial CO2 emissions in the Iberian Peninsula," Applied Energy, Elsevier, vol. 236(C), pages 22-31.
    9. Khondoker Billah & Hatim O. Sharif & Samer Dessouky, 2021. "Analysis of Pedestrian–Motor Vehicle Crashes in San Antonio, Texas," Sustainability, MDPI, vol. 13(12), pages 1-23, June.
    10. Maria Rodionova & Angi Skhvediani & Tatiana Kudryavtseva, 2022. "Prediction of Crash Severity as a Way of Road Safety Improvement: The Case of Saint Petersburg, Russia," Sustainability, MDPI, vol. 14(16), pages 1-20, August.
    11. Matthias Eckardt & Jorge Mateu, 2021. "Second-order and local characteristics of network intensity functions," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 30(2), pages 318-340, June.

    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:14:y:2022:i:12:p:7023-:d:834210. 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.