SEARCH ARTICLE

20 Pages : 211-224

http://dx.doi.org/10.31703/gssr.2023(VIII-II).20      10.31703/gssr.2023(VIII-II).20      Published : Jun 2023

Factors Influencing Motorists' Injury Severities: An Empirical Assessment of Crashes in District Peshawar, Pakistan

    Travelling in a motor car is a popular mode of conveyance across Pakistan. Similarly, motorists constitute about 66% of total registered cars in Peshawar District which observed a 200% increase from 2006 to 2016. The current research estimates a Random Parameter Logit (RPL) Model by heterogeneousness means & variations in order to identify various parameters that contribute to the motorists' brutality of injury. The effects of motorist traits, temporal characteristics, motor vehicle features, roadway attributes, weather characteristics and effects of speed limits were predominantly considered for this analysis. Generally, typical approximation results show that the chance and severity of injuries increase for accidents including young drivers, winter indicators, and crashes that occurred
    between 10 AM-02 PM. Likewise, minor wound smashes are more likely to involve senior drivers, occurring during sunny weather, in the autumn season and in the month of August. Safety measures are suggested based on the findings of this research study to improve professional's motorist safety e.g. educating drivers about traffic rules and safety, zero tolerance for driving without a valid license, and enforcing speed limits on the roads. The results of this study will help in formulating strategies to improve motorists' safety.

    Injury Severity, Motor Car, Random Parameter Logit Model, Motorists, Peshawar.
    (1) Haroon Rashid
    PhD Scholar, Department of Urban & Regional Planning, University of Peshawar, KP, Pakistan.
    (2) S. Akhtar Ali Shah
    Professor, Department of Urban & Regional Planning, University of Peshawar, KP, Pakistan.
    (3) Sheikh Muhammad Usman
    Lecturer Civil Department CECOS University, Peshawar, KP, Pakistan.