Road traffic safety issues pose a serious threat to urban health, and how the built environment affects traffic crashes has been hotly discussed. However, there are limitations in the selection of built environment factors according to the classic 5Ds system in most previous studies. Few studies have considered the influence exerted by visibility factors in intersection level and road diversity at the community level on traffic crashes, and the multi-level structure of crash data may be ignored. Therefore, the proposed visibility analysis method considering visible triangles and visual sensitivity is used to quantify the visual environment features of the intersections. Based on the proposed six-dimensional factors (6Ds) of the built environment (considering the intersection visibility degree and road diversity) and the hierarchical linear model (HLM), this paper proposes the 6Ds-HLM framework to analyze how road traffic crashes are influenced by the built environment factors. The results show that (1) the full model of the proposed 6Ds-HLM which contained the variables of intersection level and community level considering road diversity and the cross-level interactive effect performed best. (2) Interactive effects between intersection visibility and community built environment are founded, and significant 6Ds variables are identified using HLM: a) There was a positive cross-effect between intervisibility and road diversity. The viewshed area of the middle visual sensitive region also presented significant positive cross effects with traffic congestion speed, entertainment venue density, and road diversity. b) There was a significant negative cross-effect between the viewshed area of the middle visual sensitive region and school density.


    Access

    Download


    Export, share and cite



    Title :

    6Ds-HLM: Hierarchical models of road traffic crash influencing factor analysis considering the urban built environment of intersection visibility


    Contributors:
    Xinyu Qu (author) / Xiongwu Xiao (author) / Xinyan Zhu (author) / Huayi Wu (author) / Jianya Gong (author) / Deren Li (author)


    Publication date :

    2023




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    Investigating built environment and traffic flow impact on crash frequency in urban road networks

    Xiao, Dong / Ding, Hongliang / Sze, N.N. et al. | Elsevier | 2024




    Signal intersection traffic prediction method considering intersection channelization and multi-factor correction

    LIAN PEIKUN / BAO RIYONG / ZHANG KANGYI et al. | European Patent Office | 2023

    Free access

    Traffic guidance system for urban underground road intersection

    YING DAN / TANG WEI / CAO SHIDING et al. | European Patent Office | 2021

    Free access