Highlights This study investigated first responder-involved incidents through mining news reports. These incidents include near-miss, struck-by, and Line of Duty Death (LODD) incidents. Text-mining technology was applied to extract key information from new reports. Tow truck drivers are more likely to be involved in an LODD (fatal) incident. Incidents occurred in the early morning, with common weather condition and no countermeasures are more likely to be fatal.

    Abstract Roadside service and incident response personnel face the risk of being killed or severely injured by passing vehicles when performing their duties on or along a road. This study investigated 5,113 responder-involved event news reports to understand the characteristics of first responder-involved incidents. Through text mining, this study examined and compared the characteristics of three types of responder-involved incidents: near-miss incidents, struck-by incidents, and line-of-duty-deaths (LODD). A higher proportion of struck-by and LODD incidents are associated with law enforcement agencies. In terms of the time of day, morning and night incidents are frequently reported in the news. Driving under the influence (DUI) or driving while intoxicated (DWI) is a major cause of LODD incidents. Compared to struck-by incidents, LODD incidents have a larger portion related to out-of-control vehicles. Further, this study built a logistic regression model to relate the incident characteristics to the odds of an incident being a LODD incident. The modeling result shows that tow truck drivers are associated with a greater likelihood of being involved in a news-reported LODD incident than other responders. LODD incidents are more likely to occur on early morning. Compare to entering/leaving/staying at the scene, responders are more likely to be involved in LODD event when assisting. The results offer insights into understanding the characteristics and possible reasons for first responder-involved incidents so that potential countermeasures could be developed to improve responder safety.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Analysis of first responder-involved traffic incidents by mining news reports


    Contributors:
    Yang, Chenxuan (author) / Liu, Jun (author) / Li, Xiaobing (author) / Barnett, Timothy (author)


    Publication date :

    2023-08-06




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    First Responder

    Online Contents | 2003


    Drone first responder assistance

    MADDEN DONALD GERARD / REZVANI BABAK / SEYFI AHMAD et al. | European Patent Office | 2024

    Free access

    Emergency responder traffic signal power supply

    ORTIZ HECTOR P | European Patent Office | 2019

    Free access

    DRONE FIRST RESPONDER ASSISTANCE

    MADDEN DONALD GERARD / REZVANI BABAK / SEYFI AHMAD et al. | European Patent Office | 2021

    Free access