A conceptual framework to understand the role of built environment on traffic safety.
Conditional autoregressive model
Crash mediator
Macrolevel crash analysis
Safe systems
Safety planning
Journal
Journal of safety research
ISSN: 1879-1247
Titre abrégé: J Safety Res
Pays: United States
ID NLM: 1264241
Informations de publication
Date de publication:
12 2020
12 2020
Historique:
received:
11
07
2019
revised:
24
01
2020
accepted:
27
07
2020
entrez:
18
12
2020
pubmed:
19
12
2020
medline:
24
4
2021
Statut:
ppublish
Résumé
Many U.S. cities have adopted the Vision Zero strategy with the specific goal of eliminating traffic-related deaths and injuries. To achieve this ambitious goal, safety professionals have increasingly called for the development of a safe systems approach to traffic safety. This approach calls for examining the macrolevel risk factors that may lead road users to engage in errors that result in crashes. This study explores the relationship between built environment variables and crash frequency, paying specific attention to the environmental mediating factors, such as traffic exposure, traffic conflicts, and network-level speed characteristics. Three years (2011-2013) of crash data from Mecklenburg County, North Carolina, were used to model crash frequency on surface streets as a function of built environment variables at the census block group level. Separate models were developed for total and KAB crashes (i.e., crashes resulting in fatalities (K), incapacitating injuries (A), or non-incapacitating injuries (B)) using the conditional autoregressive modeling approach to account for unobserved heterogeneity and spatial autocorrelation present in data. Built environment variables that are found to have positive associations with both total and KAB crash frequencies include population, vehicle miles traveled, big box stores, intersections, and bus stops. On the other hand, the number of total and KAB crashes tend to be lower in census block groups with a higher proportion of two-lane roads and a higher proportion of roads with posted speed limits of 35 mph or less. This study demonstrates the plausible mechanism of how the built environment influences traffic safety. The variables found to be significant are all policy-relevant variables that can be manipulated to improve traffic safety. Practical Applications: The study findings will shape transportation planning and policy level decisions in designing the built environment for safer travels.
Identifiants
pubmed: 33334491
pii: S0022-4375(20)30088-8
doi: 10.1016/j.jsr.2020.07.004
pii:
doi:
Types de publication
Journal Article
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
41-50Informations de copyright
Published by Elsevier Ltd.