Like many countries in sub-Saharan Africa, Ghana has witnessed an increase in the use of motorcycles for both commercial transport and private transport of people and goods. The rapid rise in commercial motorcycle activities has been attributed to the problem of urban traffic congestion and the general lack of reliable and affordable public transport in rural areas. This study investigates and compares factors that are associated with motorcycle crash injury outcomes in rural and urban areas of Ghana. This comparison is particularly important because the commercial use of motorcycles and their rapid growth in urban areas are a new phenomenon, in contrast to rural areas where people have long relied on motorcycles for their transportation needs. Preliminary analysis of the crash data revealed that more of the rural area crashes occurred under dark and unlit roadway conditions, while urban areas recorded more intersection-related crashes. Additionally, it was found that more pedestrian collisions happened in urban areas, while head-on collisions happened more in rural areas. The model estimation results show that collisions with a pedestrian, run-off-road, and collisions that occur under dark and unlit roadway conditions were more likely to result in fatal injury. Findings from this study are expected to help in crafting and targeting appropriate countermeasures to effectively reduce the occurrence and severity of motorcycle crashes throughout the country and, indeed, sub-Saharan Africa.


    Access

    Download


    Export, share and cite



    Title :

    Understanding the Factors That Are Associated with Motorcycle Crash Severity in Rural and Urban Areas of Ghana


    Contributors:


    Publication date :

    2021




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    Factors associated with crash severity on rural roadways in Wyoming

    Debbie S. Shinstine / Shaun S. Wulff / Khaled Ksaibati | DOAJ | 2016

    Free access

    Identifying Factors Contributing to the Motorcycle Crash Severity in Pakistan

    Amjad Pervez / Jaeyoung Lee / Helai Huang | DOAJ | 2021

    Free access

    Bayesian Network for Motorcycle Crash Severity Analysis

    Das, Subasish / Vierkant, Valerie / Gonzalez, Juan Cruz et al. | Transportation Research Record | 2023


    Motorcycle Crashes in California: Analysis of Crash Severity and Contributing Factors

    Mamlouk, Amal / Teymouri, Ashkan / Abadi, Masoud Ghodrat | ASCE | 2024