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    Crash Severity Analysis for Low-Speed Roads Using Structural Equation Modeling Considering Shoulder- and Pavement-Distress Conditions

    Source: Journal of Transportation Engineering, Part A: Systems:;2020:;Volume ( 146 ):;issue: 007
    Author:
    Santanu Barman
    ,
    Ranja Bandyopadhyaya
    DOI: 10.1061/JTEPBS.0000373
    Publisher: ASCE
    Abstract: Crash severity outcomes are random and are influenced by the interactions of vehicle, driver, crash, road, and environmental factors. Limited research has attempted to assess the direct and latent influence of road factors like pavement and shoulder conditions, crash and vehicle factors, along with weather and driver factors on crash severity outcomes. This work attempts to develop crash severity prediction models considering the direct and indirect influence of road factors measured with pavement distress conditions, shoulder type and condition, crash factors measured with crash type and collision partners, human and weather factors measured with crash time (for visibility and traffic con-dition), season of crash occurrence, and driver age and gender.
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      Crash Severity Analysis for Low-Speed Roads Using Structural Equation Modeling Considering Shoulder- and Pavement-Distress Conditions

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4265014
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    • ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering

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    contributor authorSantanu Barman
    contributor authorRanja Bandyopadhyaya
    date accessioned2022-01-30T19:17:46Z
    date available2022-01-30T19:17:46Z
    date issued2020
    identifier otherJTEPBS.0000373.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4265014
    description abstractCrash severity outcomes are random and are influenced by the interactions of vehicle, driver, crash, road, and environmental factors. Limited research has attempted to assess the direct and latent influence of road factors like pavement and shoulder conditions, crash and vehicle factors, along with weather and driver factors on crash severity outcomes. This work attempts to develop crash severity prediction models considering the direct and indirect influence of road factors measured with pavement distress conditions, shoulder type and condition, crash factors measured with crash type and collision partners, human and weather factors measured with crash time (for visibility and traffic con-dition), season of crash occurrence, and driver age and gender.
    publisherASCE
    titleCrash Severity Analysis for Low-Speed Roads Using Structural Equation Modeling Considering Shoulder- and Pavement-Distress Conditions
    typeJournal Paper
    journal volume146
    journal issue7
    journal titleJournal of Transportation Engineering, Part A: Systems
    identifier doi10.1061/JTEPBS.0000373
    page04020051
    treeJournal of Transportation Engineering, Part A: Systems:;2020:;Volume ( 146 ):;issue: 007
    contenttypeFulltext
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