Governments require decision tools to deal with road traffic accidents, a pandemic resulting in millions of deaths around the world. Evidence shows that human factors are one of the major causes of road accidents, and there is much interest in identifying variables that may have an impact on drivers’ perception of risk. To this aim, we design a stated choice experiment with eight hypothetical driving scenarios considering attributes that have been strongly associated with increased accident risks: (i) driving speed, (ii) driving the wrong way in a one-way street, (iii) overtaking on a bend, and (iv) driving under the influence of alcohol or drugs. Data from a sample of survey respondents are used to estimate a hybrid discrete choice model incorporating two latent variables, Driver Concentration and Safe Driving. Our results may contribute to the design of public policies geared to prevent accidents by encouraging safer driving behaviour.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Traffic accident risk perception among drivers: a latent variable approach


    Beteiligte:

    Erschienen in:

    Erscheinungsdatum :

    2020-04-02


    Format / Umfang :

    12 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Effects of Occupational Drivers’ Traffic Accident History on Risk Perception, Work Attitudes, and Unstable Driving

    Chung, Eun Kyoung / Park, So Young / Sohn, Young Woo | Transportation Research Record | 2021




    Hazard and Risk Perception among Young Novice Drivers

    Deery, Hamish A. | Online Contents | 1999


    Using traffic conviction correlates to identify high accident-risk drivers

    Gebers, Michael A / Peck, Raymond C | Elsevier | 2002