Most of the road crashes are shared only by lower to middle-income economies around the globe. So, the cash severity ranking of all Indian states becomes very important to analyze the situation closely. The present paper proposes the severity ranking of Indian states having the highest crash. The proposed severity ranking is derived based on one of the widely accepted Multi-criteria analysis tools: Analytic Hierarchy Process (AHP). By integrating the classified injury and total accidents, India is among the most adversely affected economies due to higher road crash burdens. The present Indian road crash scenario indicates the immediate need for improvement in the current road safety practices to evaluate the severity. The state-wise prioritization of road safety efforts can be done with the help of the presented severity ranking.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Road Crash Severity Ranking by Applying a Multi-criteria Decision-Making Tool: Analytical Hierarchy Process


    Weitere Titelangaben:

    stud. in Infrastructure & Control


    Beteiligte:
    Shah, Jiten (Herausgeber:in) / Arkatkar, Shriniwas S. (Herausgeber:in) / Jadhav, Pravin (Herausgeber:in) / Trivedi, Priyank (Autor:in) / Shah, Jiten (Autor:in)


    Erscheinungsdatum :

    14.12.2021


    Format / Umfang :

    7 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    Alternative Crash Severity Ranking Measures and the Implications on Crash Severity Ranking Results

    Campbell, J. R. / Knapp, K. K. / Institute of Transportation Engineers | British Library Conference Proceedings | 2006


    An evaluation of road crash injury severity measures

    Rosman, Diana L. | Online Contents | 1996



    Multi-criteria decision-making process for buildings

    Balcomb, J. / Curtner, Adrianne | AIAA | 2000