Research on the extent to which pedestrians are exposed to road collision risk is important to the improvement of pedestrian safety. As precise geographical information is often difficult and costly to collect, this study proposes a potential path tree method derived from time geography concepts in measuring pedestrian exposure. With negative binomial regression (NBR) and geographically weighted Poisson regression (GWPR) models, the proposed probabilistic two-anchor-point potential path tree (PPT) approach (including the equal and weighted PPT methods) are compared with the deterministic space-time path (STP) method. The results indicate that both STP and PPT methods are useful tools in measuring pedestrian exposure. While the STP method can save much time, the PPT methods outperform the STP method in explaining the underlying vehicle-pedestrian collision pattern. Further research efforts are needed to investigate the influence of walking speed and route choice.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Measures of activity-based pedestrian exposure to the risk of vehicle-pedestrian collisions: space-time path vs. potential path tree methods




    Erscheinungsdatum :

    2015




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch



    Klassifikation :

    BKL:    44.80 / 44.80 Unfallmedizin, Notfallmedizin / 55.84 / 55.24 / 55.84 Straßenverkehr / 55.24 Fahrzeugführung, Fahrtechnik




    PEDESTRIAN PATH PREDICTIONS

    AYVACI ALPER / KARASEV VASILIY IGOREVICH / HEISELE BERND et al. | Europäisches Patentamt | 2016

    Freier Zugriff

    Pedestrian path predictions

    AYVACI ALPER / KARASEV VASILIY IGOREVICH / HEISELE BERND et al. | Europäisches Patentamt | 2017

    Freier Zugriff


    Pedestrian gaits observed from actual pedestrian-vehicle collisions

    Zou, Tiefang / Zha, Aimin / Liu, Qi et al. | Taylor & Francis Verlag | 2022