The objective of this research is to better understand how to prevent pedestrian fatalities by investigating new means of measuring pedestrian exposure to crashes. The study involves finding ways to estimate pedestrian volumes (pedestrians per week) on specific facilities, focusing on rural areas. Part I investigates the relationship between the weekly pedestrian exposure in rural areas of Connecticut and factors such as population density, sidewalk system, number of lanes, area type, signal type and median household income. Part II identifies site characteristics, i.e., factors describing land use activity, roadside design, merging and crossing traffic, traffic control and vehicular speed, that can be used to predict roadway risk, the probability of a crash leading to injury and/or death. All variables, with the exception of crosswalks, street parking and paved shoulder width, proved significant. The findings from this project could significantly change the way pedestrian crashes are reported and analyzed, and thus improve their usefulness and meaning.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen


    Exportieren, teilen und zitieren



    Titel :

    Rural Pedestrian Crash Rate: Alternative Measures of Exposure


    Beteiligte:
    J. N. Ivan (Autor:in) / P. J. Ossenbruggen (Autor:in) / X. Qin (Autor:in) / J. Pendarkar (Autor:in)

    Erscheinungsdatum :

    2000


    Format / Umfang :

    54 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch




    Pedestrian Crash Exposure Analysis Using Alternative Geographically Weighted Regression Models

    Seyed Ahmad Almasi / Hamid Reza Behnood / Ramin Arvin | DOAJ | 2021

    Freier Zugriff


    National Pedestrian Crash Report

    D. Chang | NTIS | 2008


    Selecting exposure measures in crash rate prediction for two-lane highway segments

    Qin, Xiao / Ivan, John N. / Ravishanker, Nalini | Elsevier | 2002