IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i12p6610-d572246.html
   My bibliography  Save this article

Analysis of Pedestrian–Motor Vehicle Crashes in San Antonio, Texas

Author

Listed:
  • Khondoker Billah

    (Department of Civil and Environmental Engineering, 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

Pedestrian safety is becoming a global concern and an understanding of the contributing factors to severe pedestrian crashes is crucial. This study analyzed crash data for San Antonio, TX, over a six-year period to understand the effects of pedestrian–vehicle crash-related variables on pedestrian injury severity based on the party at fault and to identify high-risk locations. Bivariate analysis and logistic regression were used to identify the most significant predictors of severe pedestrian crashes. High-risk locations were identified through heat maps and hotspot analysis. A failure to yield the right of way and driver inattention were the primary contributing factors to pedestrian–vehicle crashes. Fatal and incapacitating injury risk increased substantially when the pedestrian was at fault. The strongest predictors of severe pedestrian injury include the lighting condition, the road class, the speed limit, traffic control, collision type, the age of the pedestrian, and the gender of the pedestrian. The downtown area had the highest crash density, but crash severity hotspots were identified outside of the downtown area. Resource allocation to high-risk locations, a reduction in the speed limit, an upgrade of the lighting facilities in high pedestrian activity areas, educational campaigns for targeted audiences, the implementation of more crosswalks, pedestrian refuge islands, raised medians, and the use of leading pedestrian interval and hybrid beacons are recommended.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:12:p:6610-:d:572246
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/12/6610/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/12/6610/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhongyu Han & Hatim O. Sharif, 2020. "Investigation of the Relationship between Rainfall and Fatal Crashes in Texas, 1994–2018," Sustainability, MDPI, vol. 12(19), pages 1-19, September.
    2. Ferguson, S.A. & Preusser, D.F. & Lund, A.K. & Zador, P.L. & Ulmer, R.G., 1995. "Daylight saving time and motor vehicle crashes: The reduction in pedestrian and vehicle occupant fatalities," American Journal of Public Health, American Public Health Association, vol. 85(1), pages 92-96.
    3. 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.
    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. 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.
    2. 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.
    3. 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.
    4. 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.

    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 & 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.
    2. Tomas Havranek & Dominik Herman & Zuzana Irsova, 2018. "Does Daylight Saving Save Electricity? A Meta-Analysis," The Energy Journal, , vol. 39(2), pages 35-61, March.
    3. Daniel Kuehnle & Christoph Wunder, 2016. "Using the Life Satisfaction Approach to Value Daylight Savings Time Transitions: Evidence from Britain and Germany," Journal of Happiness Studies, Springer, vol. 17(6), pages 2293-2323, December.
    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. Sotiris Vandoros & Georgios Kavetsos & Paul Dolan, 2014. "Greasy Roads: The Impact of Bad Financial News on Road Traffic Accidents," Risk Analysis, John Wiley & Sons, vol. 34(3), pages 556-566, March.
    7. Hugo Salas & Pedro Ignacio Hancevic, 2023. "The unexpected effects of daylight-saving time: Traffic accidents in Mexican municipalities," EconoQuantum, Revista de Economia y Finanzas, Universidad de Guadalajara, Centro Universitario de Ciencias Economico Administrativas, Departamento de Metodos Cuantitativos y Maestria en Economia., vol. 20(1), pages 1-29, Enero-Jun.
    8. Ahuja, Dilip R. & SenGupta, D.P., 2012. "Year-round daylight saving time will save more energy in India than corresponding DST or time zones," Energy Policy, Elsevier, vol. 42(C), pages 657-669.
    9. 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.
    10. Halla, Martin & Zweimüller, Martina, 2013. "The effect of health on earnings: Quasi-experimental evidence from commuting accidents," Labour Economics, Elsevier, vol. 24(C), pages 23-38.
    11. Andrew Worthington, 2003. "Business expectations and preferences regarding the introduction of daylight saving in Queensland," School of Economics and Finance Discussion Papers and Working Papers Series 145, School of Economics and Finance, Queensland University of Technology.
    12. Herber, Stefanie P. & Quis, Johanna Sophie & Heineck, Guido, 2017. "Does the transition into daylight saving time affect students’ performance?," Economics of Education Review, Elsevier, vol. 61(C), pages 130-139.
    13. Depalo, Domenico, 2023. "Should the Daylight Saving Time be abolished? Evidence from work accidents in Italy," Economic Modelling, Elsevier, vol. 128(C).
    14. Christian Bünnings & Valentin Schiele, 2021. "Spring Forward, Don't Fall Back: The Effect of Daylight Saving Time on Road Safety," The Review of Economics and Statistics, MIT Press, vol. 103(1), pages 165-176, March.
    15. 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.
    16. Havranek, Tomas & Herman, Dominik & Irsova, Zuzana, 2016. "Does Daylight Saving Save Energy? A Meta-Analysis," MPRA Paper 74518, University Library of Munich, Germany.
    17. Jin, L. & Ziebarth, N.R., 2015. "Sleep and Human Capital: Evidence from Daylight Saving Time," Health, Econometrics and Data Group (HEDG) Working Papers 15/27, HEDG, c/o Department of Economics, University of York.
    18. López, Miguel, 2020. "Daylight effect on the electricity demand in Spain and assessment of Daylight Saving Time policies," Energy Policy, Elsevier, vol. 140(C).
    19. 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.
    20. Martin Halla & Martina Zweimüller, 2011. "The Effect of Health on Income: Quasi-Experimental Evidence from Commuting Accidents," NRN working papers 2011-03, The Austrian Center for Labor Economics and the Analysis of the Welfare State, Johannes Kepler University Linz, Austria, revised Feb 2012.

    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:6610-:d:572246. 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.