IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i10p4291-d362327.html
   My bibliography  Save this article

A Comprehensive Assessment of the Existing Accident and Hazard Prediction Models for the Highway-Rail Grade Crossings in the State of Florida

Author

Listed:
  • Junayed Pasha

    (Department of Civil & Environmental Engineering, Florida A&M University-Florida State University, Tallahassee, FL 32310-6046, USA)

  • Maxim A. Dulebenets

    (Department of Civil & Environmental Engineering, Florida A&M University-Florida State University, Tallahassee, FL 32310-6046, USA)

  • Olumide F. Abioye

    (Department of Civil & Environmental Engineering, Florida A&M University-Florida State University, Tallahassee, FL 32310-6046, USA)

  • Masoud Kavoosi

    (Department of Civil & Environmental Engineering, Florida A&M University-Florida State University, Tallahassee, FL 32310-6046, USA)

  • Ren Moses

    (Department of Civil & Environmental Engineering, Florida A&M University-Florida State University, Tallahassee, FL 32310-6046, USA)

  • John Sobanjo

    (Department of Civil & Environmental Engineering, Florida A&M University-Florida State University, Tallahassee, FL 32310-6046, USA)

  • Eren E. Ozguven

    (Department of Civil & Environmental Engineering, Florida A&M University-Florida State University, Tallahassee, FL 32310-6046, USA)

Abstract

Accidents at highway-rail grade crossings can cause fatalities and injuries, as well as significant property damages. In order to prevent accidents, certain upgrades need to be made at highway-rail grade crossings. However, due to limited monetary resources, only the most hazardous highway-rail grade crossings should receive a priority for upgrading. Hence, accident/hazard prediction models are required to identify the most hazardous highway-rail grade crossings for safety improvement projects. This study selects and evaluates the accident and hazard prediction models found in the highway-rail grade crossing safety literature to rank the highway-rail grade crossings in the State of Florida. Three approaches are undertaken to evaluate the candidate accident and hazard prediction models, including the chi-square statistic, grouping of crossings based on the actual accident data, and Spearman rank correlation coefficient. The analysis was conducted for the 589 highway-rail grade crossings located in the State of Florida using the data available through the highway-rail grade crossing inventory database maintained by the Federal Railroad Administration. As a result of the performed analysis, a new hazard prediction model, named as the Florida Priority Index Formula, is recommended to rank/prioritize the highway-rail grade crossings in the State of Florida. The Florida Priority Index Formula provides a more accurate ranking of highway-rail grade crossings as compared to the alternative methods. The Florida Priority Index Formula assesses the potential hazard of a given highway-rail grade crossing based on the average daily traffic volume, average daily train volume, train speed, existing traffic control devices, accident history, and crossing upgrade records.

Suggested Citation

  • Junayed Pasha & Maxim A. Dulebenets & Olumide F. Abioye & Masoud Kavoosi & Ren Moses & John Sobanjo & Eren E. Ozguven, 2020. "A Comprehensive Assessment of the Existing Accident and Hazard Prediction Models for the Highway-Rail Grade Crossings in the State of Florida," Sustainability, MDPI, vol. 12(10), pages 1-27, May.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:10:p:4291-:d:362327
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/10/4291/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/10/4291/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Shannon C. Mok & Ian Savage, 2005. "Why Has Safety Improved at Rail‐Highway Grade Crossings?," Risk Analysis, John Wiley & Sons, vol. 25(4), pages 867-881, August.
    2. Masoud Kavoosi & Maxim A. Dulebenets & Junayed Pasha & Olumide F. Abioye & Ren Moses & John Sobanjo & Eren E. Ozguven, 2020. "Development of Algorithms for Effective Resource Allocation among Highway–Rail Grade Crossings: A Case Study for the State of Florida," Energies, MDPI, vol. 13(6), pages 1-28, March.
    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. Joaquin Haces-Garcia & Arturo Haces-Garcia & Francisco Haces-Garcia & Francisco Haces-Fernandez, 2021. "Advanced Warning System to Improve Safety at Train Grade Crossings," Sustainability, MDPI, vol. 13(21), pages 1-16, October.
    2. Anna Dolinayova & Vladislav Zitricky & Lenka Cerna, 2020. "Decision-Making Process in the Case of Insufficient Rail Capacity," Sustainability, MDPI, vol. 12(12), pages 1-21, June.
    3. Li, Bokang & Afkhami, Payam & Khayamim, Razieh & Elmi, Zeinab & Moses, Ren & Sobanjo, John & Ozguven, Eren E. & Dulebenets, Maxim A., 2024. "A holistic optimization-based approach for sustainable selection of level crossings for closure with safety, economic, and environmental considerations," Reliability Engineering and System Safety, Elsevier, vol. 249(C).
    4. Ercegovac, Pamela & Stojić, Gordan & Tanackov, Ilija & Sremac, Siniša, 2022. "Application of Statistical Analysis for Risk Estimate of Railway Accidents and Traffic Incidents at Level Crossings," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2022), Hybrid Conference, Opatija, Croatia, in: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Hybrid Conference, Opatija, Croatia, 17-18 June 2022, pages 225-238, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb.
    5. Singh, Prashant & Pasha, Junayed & Moses, Ren & Sobanjo, John & Ozguven, Eren E. & Dulebenets, Maxim A., 2022. "Development of exact and heuristic optimization methods for safety improvement projects at level crossings under conflicting objectives," Reliability Engineering and System Safety, Elsevier, vol. 220(C).
    6. Prashant Singh & Junayed Pasha & Amir Khorram-Manesh & Krzysztof Goniewicz & Abdolreza Roshani & Maxim A. Dulebenets, 2021. "A Holistic Analysis of Train-Vehicle Accidents at Highway-Rail Grade Crossings in Florida," Sustainability, MDPI, vol. 13(16), pages 1-28, August.
    7. Yan, Dongyang & Li, Keping & Zhu, Qiaozhen & Liu, Yanyan, 2023. "A railway accident prevention method based on reinforcement learning – Active preventive strategy by multi-modal data," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
    8. Liu, Jintao & Chen, Keyi & Duan, Huayu & Li, Chenling, 2024. "A knowledge graph-based hazard prediction approach for preventing railway operational accidents," Reliability Engineering and System Safety, Elsevier, vol. 247(C).

    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. Singh, Prashant & Pasha, Junayed & Moses, Ren & Sobanjo, John & Ozguven, Eren E. & Dulebenets, Maxim A., 2022. "Development of exact and heuristic optimization methods for safety improvement projects at level crossings under conflicting objectives," Reliability Engineering and System Safety, Elsevier, vol. 220(C).
    2. Li, Bokang & Afkhami, Payam & Khayamim, Razieh & Elmi, Zeinab & Moses, Ren & Sobanjo, John & Ozguven, Eren E. & Dulebenets, Maxim A., 2024. "A holistic optimization-based approach for sustainable selection of level crossings for closure with safety, economic, and environmental considerations," Reliability Engineering and System Safety, Elsevier, vol. 249(C).
    3. French, Michael & Gumus, Gulcin, 2024. "Hit-and-Run or Hit-and-Stay? Unintended Effects of a Stricter BAC Limit," IZA Discussion Papers 16774, Institute of Labor Economics (IZA).
    4. Vivek, Adheesh Kumar & Gupta, Somya & Khan, Tathagatha & Mohapatra, Smruti Sourava, 2024. "Strategies to mitigate safety and associated problems at gated rail road grade crossing: A structural equation modelling approach," Transport Policy, Elsevier, vol. 146(C), pages 19-30.
    5. Gbban, Abdulrhman M. & Kamruzzaman, Md. & Delbosc, Alexa & Coxon, Selby, 2023. "The wider barrier effects of public transport infrastructure: The case of level crossings in Melbourne," Journal of Transport Geography, Elsevier, vol. 108(C).
    6. Anna Dolinayova & Vladislav Zitricky & Lenka Cerna, 2020. "Decision-Making Process in the Case of Insufficient Rail Capacity," Sustainability, MDPI, vol. 12(12), pages 1-21, June.
    7. Prashant Singh & Junayed Pasha & Amir Khorram-Manesh & Krzysztof Goniewicz & Abdolreza Roshani & Maxim A. Dulebenets, 2021. "A Holistic Analysis of Train-Vehicle Accidents at Highway-Rail Grade Crossings in Florida," Sustainability, MDPI, vol. 13(16), pages 1-28, August.
    8. Masoud Kavoosi & Maxim A. Dulebenets & Junayed Pasha & Olumide F. Abioye & Ren Moses & John Sobanjo & Eren E. Ozguven, 2020. "Development of Algorithms for Effective Resource Allocation among Highway–Rail Grade Crossings: A Case Study for the State of Florida," Energies, MDPI, vol. 13(6), pages 1-28, March.

    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:12:y:2020:i:10:p:4291-:d:362327. 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.