This paper provides a review of research performed by Svenson with colleagues and others work on mental models and their practical implications. Mental models describe how people perceive and think about the world including covariances and relationships between different variables, such as driving speed and time. Research on mental models has detected the time-saving bias [Svenson, O. (1970). A functional measurement approach to intuitive estimation as exemplified by estimated time savings. Journal of Experimental Psychology, 86, 204–210]. It means that drivers relatively overestimate the time that can be saved by increasing speed from an already high speed, for example, 90–130 km/h, and underestimate the time that can be saved by increasing speed from a low speed, for example, 30–45 km/h. In congruence with this finding, mean speed judgments and perceptions of mean speeds are also biased and higher speeds given too much weight and low speeds too little weight in comparison with objective reality. Replacing or adding a new speedometer in the car showing min per km eliminated or weakened the time-saving bias. Information about braking distances at different speeds did not improve overoptimistic judgments of braking capacity, but information about collision speed with an object suddenly appearing on the road did improve judgments of braking capacity. This is relevant to drivers, politicians and traffic regulators.


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    Titel :

    Mental models of driving and speed: biases, choices and reality


    Beteiligte:

    Erschienen in:

    Transport Reviews ; 37 , 5 ; 653-666


    Erscheinungsdatum :

    2017-09-03


    Format / Umfang :

    14 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch






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    Marchau, V. A. W. J. / Molin, E. J. E. / van der Heijden, R. E. C. M. | British Library Conference Proceedings | 2004


    Factors influencing driver speed choices

    Campbell, M. / Stradling, S. G. / Great Britain | British Library Conference Proceedings | 2003


    Biases

    Musoff, Howard / Zarchan, Paul | AIAA | 2009