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Vehicular crash data used to rank intersections by injury crash frequency and severity

This article contains data on research conducted in “A double standard model for allocating limited emergency medical service vehicle resources ensuring service reliability” (Liu et al., 2016) [1]. The crash counts were sorted out from comprehensive crash records of over one thousand major signalize...

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Detalles Bibliográficos
Autores principales: Liu, Yi, Li, Zongzhi, Liu, Jingxian, Patel, Harshingar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4961217/
https://www.ncbi.nlm.nih.gov/pubmed/27508245
http://dx.doi.org/10.1016/j.dib.2016.06.046
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author Liu, Yi
Li, Zongzhi
Liu, Jingxian
Patel, Harshingar
author_facet Liu, Yi
Li, Zongzhi
Liu, Jingxian
Patel, Harshingar
author_sort Liu, Yi
collection PubMed
description This article contains data on research conducted in “A double standard model for allocating limited emergency medical service vehicle resources ensuring service reliability” (Liu et al., 2016) [1]. The crash counts were sorted out from comprehensive crash records of over one thousand major signalized intersections in the city of Chicago from 2004 to 2010. For each intersection, vehicular crashes were counted by crash severity levels, including fatal, injury Types A, B, and C for major, moderate, and minor injury levels, property damage only (PDO), and unknown. The crash data was further used to rank intersections by equivalent injury crash frequency. The top 200 intersections with the highest number of crash occurrences identified based on crash frequency- and severity-based scenarios are shared in this brief. The provided data would be a valuable source for research in urban traffic safety analysis and could also be utilized to examine the effectiveness of traffic safety improvement planning and programming, intersection design enhancement, incident and emergency management, and law enforcement strategies.
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spelling pubmed-49612172016-08-09 Vehicular crash data used to rank intersections by injury crash frequency and severity Liu, Yi Li, Zongzhi Liu, Jingxian Patel, Harshingar Data Brief Data Article This article contains data on research conducted in “A double standard model for allocating limited emergency medical service vehicle resources ensuring service reliability” (Liu et al., 2016) [1]. The crash counts were sorted out from comprehensive crash records of over one thousand major signalized intersections in the city of Chicago from 2004 to 2010. For each intersection, vehicular crashes were counted by crash severity levels, including fatal, injury Types A, B, and C for major, moderate, and minor injury levels, property damage only (PDO), and unknown. The crash data was further used to rank intersections by equivalent injury crash frequency. The top 200 intersections with the highest number of crash occurrences identified based on crash frequency- and severity-based scenarios are shared in this brief. The provided data would be a valuable source for research in urban traffic safety analysis and could also be utilized to examine the effectiveness of traffic safety improvement planning and programming, intersection design enhancement, incident and emergency management, and law enforcement strategies. Elsevier 2016-07-01 /pmc/articles/PMC4961217/ /pubmed/27508245 http://dx.doi.org/10.1016/j.dib.2016.06.046 Text en © 2016 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Liu, Yi
Li, Zongzhi
Liu, Jingxian
Patel, Harshingar
Vehicular crash data used to rank intersections by injury crash frequency and severity
title Vehicular crash data used to rank intersections by injury crash frequency and severity
title_full Vehicular crash data used to rank intersections by injury crash frequency and severity
title_fullStr Vehicular crash data used to rank intersections by injury crash frequency and severity
title_full_unstemmed Vehicular crash data used to rank intersections by injury crash frequency and severity
title_short Vehicular crash data used to rank intersections by injury crash frequency and severity
title_sort vehicular crash data used to rank intersections by injury crash frequency and severity
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4961217/
https://www.ncbi.nlm.nih.gov/pubmed/27508245
http://dx.doi.org/10.1016/j.dib.2016.06.046
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AT patelharshingar vehicularcrashdatausedtorankintersectionsbyinjurycrashfrequencyandseverity