This study investigates the relationship between pedestrian crashes and various socio-demographic, built environment, traffic exposure, and roadway characteristics across different times of day for both weekdays and weekends. Using the street segment as the unit of analysis, multilevel generalized linear mixed models with negative binomial estimators are applied to examine predictors of pedestrian crashes, including those resulting in severe injuries and fatalities, that occurred in Philadelphia, U.S., between 2010 and 2017. It is found that most of the relationships between the predictor variables and pedestrian crashes are consistent throughout the day for both weekdays and weekends. Although traffic volumes and pedestrian trips fluctuate throughout the day, average daily measures of traffic and pedestrian exposure have consistent relationships with pedestrian crashes throughout the day for both weekdays and weekends. Certain roadway characteristics, such as the amount of secondary highways and major arterials, have stronger relationships with pedestrian crashes than others at certain times of day. Results indicate that authorities should pay particular attention to pedestrian safety at night, as well as in lower-income neighborhoods throughout the day when designing interventions to improve the walking environment. Modeling pedestrian crashes by time of day provides additional information that might not be captured by temporally aggregate analyses. Scholars should consider incorporating time of day into future traffic crash analyses.


    Access

    Download

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Temporal Analysis of Predictors of Pedestrian Crashes


    Additional title:

    Transportation Research Record


    Contributors:
    Guerra, Erick (author) / Dong, Xiaoxia (author) / Lin, Lufeng (author) / Guo, Yue (author)


    Publication date :

    2020-05-05




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Analysis of Pedestrian Crashes in Utah

    Shaaban, Khaled / Pinter, Austin | IEEE | 2022


    Comparative analysis of pedestrian-vehicle crashes

    Al-Ghamdi, A. S. / Wessex Institute of Technology | British Library Conference Proceedings | 2002


    A spatial and temporal analysis of child pedestrian crashes in Santiago, Chile

    Blazquez, Carola A. / Celis, Marcela S. | Elsevier | 2012