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Geometric road design factors affecting the risk of urban run-off crashes. A case-control study

OBJECTIVE: Single vehicle run-off crashes in urban areas constitute a growing problem that deserves more attention from authorities and researchers. This study aims to detect geometric road design risk factors characterizing places where urban run-off crashes might happen. METHODS: A case-control st...

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Autores principales: Álvarez, Patricia, Fernández, Miguel A., Gordaliza, Alfonso, Mansilla, Alberto, Molinero, Aquilino
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7289378/
https://www.ncbi.nlm.nih.gov/pubmed/32525933
http://dx.doi.org/10.1371/journal.pone.0234564
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author Álvarez, Patricia
Fernández, Miguel A.
Gordaliza, Alfonso
Mansilla, Alberto
Molinero, Aquilino
author_facet Álvarez, Patricia
Fernández, Miguel A.
Gordaliza, Alfonso
Mansilla, Alberto
Molinero, Aquilino
author_sort Álvarez, Patricia
collection PubMed
description OBJECTIVE: Single vehicle run-off crashes in urban areas constitute a growing problem that deserves more attention from authorities and researchers. This study aims to detect geometric road design risk factors characterizing places where urban run-off crashes might happen. METHODS: A case-control study was performed in the urban area of Valladolid (Spain) with data corresponding to a four-year period. Logistic regression models were used to analyze data, considering different variables related to design parameters in the models: type of intersection, radius of curvature, width of the pavement, width of the traffic lane, number of lanes for traffic in the same direction, direction of the traffic, length of the previous straight section, distance to the previous traffic light, slope, and finally, priority regulation. Two different scenarios were investigated: intersections and curves. RESULTS: The Adjusted Odds-Ratio of a run-off crash was five times higher in double direction roads with median strip than in one-way urban roads, for both curves and intersections, and almost nine times higher on road sections with previous straight lengths greater than 500 meters. Specific risk factors for intersections are “number of lanes for traffic in the same direction” (the odds of a run-off crash are more than five times higher on a road with two or more lanes), “length of preceding straight section” (the odds on road sections with lengths greater than 500 meters are more than nine times that of road sections with a length of less than 150 meters). For curves, specific factors are “width of the traffic lane” (the odds of a run-off crash on curves with lanes wider than 3.75m are more than six times higher) and “priority regulation” (the odds of a run-off crash increases more than twelve times on road sections with traffic light regulation over those without any regulation). CONCLUSIONS: The current study identifies urban road configurations that might require redesigning with the aim of decreasing the odds of a run-off crash, or the implementation of passive protective systems to mitigate their consequences. Specifically, intersections in two direction roads with median strip, more than two lanes per direction and a long preceding straight section, as well as curves with wide lanes and traffic light regulation, are the places that require attention.
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spelling pubmed-72893782020-06-15 Geometric road design factors affecting the risk of urban run-off crashes. A case-control study Álvarez, Patricia Fernández, Miguel A. Gordaliza, Alfonso Mansilla, Alberto Molinero, Aquilino PLoS One Research Article OBJECTIVE: Single vehicle run-off crashes in urban areas constitute a growing problem that deserves more attention from authorities and researchers. This study aims to detect geometric road design risk factors characterizing places where urban run-off crashes might happen. METHODS: A case-control study was performed in the urban area of Valladolid (Spain) with data corresponding to a four-year period. Logistic regression models were used to analyze data, considering different variables related to design parameters in the models: type of intersection, radius of curvature, width of the pavement, width of the traffic lane, number of lanes for traffic in the same direction, direction of the traffic, length of the previous straight section, distance to the previous traffic light, slope, and finally, priority regulation. Two different scenarios were investigated: intersections and curves. RESULTS: The Adjusted Odds-Ratio of a run-off crash was five times higher in double direction roads with median strip than in one-way urban roads, for both curves and intersections, and almost nine times higher on road sections with previous straight lengths greater than 500 meters. Specific risk factors for intersections are “number of lanes for traffic in the same direction” (the odds of a run-off crash are more than five times higher on a road with two or more lanes), “length of preceding straight section” (the odds on road sections with lengths greater than 500 meters are more than nine times that of road sections with a length of less than 150 meters). For curves, specific factors are “width of the traffic lane” (the odds of a run-off crash on curves with lanes wider than 3.75m are more than six times higher) and “priority regulation” (the odds of a run-off crash increases more than twelve times on road sections with traffic light regulation over those without any regulation). CONCLUSIONS: The current study identifies urban road configurations that might require redesigning with the aim of decreasing the odds of a run-off crash, or the implementation of passive protective systems to mitigate their consequences. Specifically, intersections in two direction roads with median strip, more than two lanes per direction and a long preceding straight section, as well as curves with wide lanes and traffic light regulation, are the places that require attention. Public Library of Science 2020-06-11 /pmc/articles/PMC7289378/ /pubmed/32525933 http://dx.doi.org/10.1371/journal.pone.0234564 Text en © 2020 Álvarez et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Álvarez, Patricia
Fernández, Miguel A.
Gordaliza, Alfonso
Mansilla, Alberto
Molinero, Aquilino
Geometric road design factors affecting the risk of urban run-off crashes. A case-control study
title Geometric road design factors affecting the risk of urban run-off crashes. A case-control study
title_full Geometric road design factors affecting the risk of urban run-off crashes. A case-control study
title_fullStr Geometric road design factors affecting the risk of urban run-off crashes. A case-control study
title_full_unstemmed Geometric road design factors affecting the risk of urban run-off crashes. A case-control study
title_short Geometric road design factors affecting the risk of urban run-off crashes. A case-control study
title_sort geometric road design factors affecting the risk of urban run-off crashes. a case-control study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7289378/
https://www.ncbi.nlm.nih.gov/pubmed/32525933
http://dx.doi.org/10.1371/journal.pone.0234564
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