In large Polish cities like Warsaw, pedestrians constitute almost 60% of road fatalities. Although traffic safety situation in general is improving, the numbers of pedestrians hit when crossing a road have not significantly decreased over the last six years. A negative binomial model was estimated for predicting accidents at unsignalised pedestrian crossings based on accident data from 52 crossings in Warsaw. A total of 58 pedestrian accidents were recorded at these crossings during the last seven years. The model shows that the number of accidents is less-than-proportional to both pedestrian and motorised traffic daily volumes. Other risk factors affecting pedestrian safety are: higher proportion of heavy vehicles and location in a mixed land use area. The model can be used with the Empirical Bayes method for an unbiased identification of high risk locations.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Development of accident prediction models for pedestrian crossings


    Beteiligte:
    Olszewski Piotr (Autor:in) / Osińska Beata (Autor:in) / Szagała Piotr (Autor:in) / Włodarek Paweł (Autor:in)


    Erscheinungsdatum :

    2018




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




    Macroscopic Models for Accident Prediction at Railroad Grade Crossings

    Medina, Juan C. / Benekohal, Rahim F. | Transportation Research Record | 2015


    Irregularities in Level Crossings and Pedestrian Crossings

    Kampczyk, Arkadiusz | Springer Verlag | 2019


    Pedestrian Behavior at Signalized Pedestrian Crossings

    Lipovac, Krsto | Online Contents | 2013


    Pedestrian Behavior at Signalized Pedestrian Crossings

    Lipovac, Krsto / Vujanic, Milan / Maric, Bojan et al. | ASCE | 2012


    Pedestrian Behavior at Signalized Pedestrian Crossings

    Lipovac, K. / Vujanic, M. / Maric, B. et al. | British Library Online Contents | 2013