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Spatial analysis to identify high risk areas for traffic crashes resulting in death of pedestrians in Tehran

Background: More than 20% of deaths from traffic crashes are related to pedestrians. This figure in Tehran, the capital of Iran, reaches to 40%. This study aimed to determine the high-risk areas and spatially analyze the traffic crashes, causing death to pedestrians in Tehran. Methods: Mapping was u...

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Autores principales: Moradi, Ali, Soori, Hamid, Kavousi, Amir, Eshghabadi, Farshid, Jamshidi, Ensiyeh, Zeini, Salahdien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Iran University of Medical Sciences 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5307606/
https://www.ncbi.nlm.nih.gov/pubmed/28210615
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author Moradi, Ali
Soori, Hamid
Kavousi, Amir
Eshghabadi, Farshid
Jamshidi, Ensiyeh
Zeini, Salahdien
author_facet Moradi, Ali
Soori, Hamid
Kavousi, Amir
Eshghabadi, Farshid
Jamshidi, Ensiyeh
Zeini, Salahdien
author_sort Moradi, Ali
collection PubMed
description Background: More than 20% of deaths from traffic crashes are related to pedestrians. This figure in Tehran, the capital of Iran, reaches to 40%. This study aimed to determine the high-risk areas and spatially analyze the traffic crashes, causing death to pedestrians in Tehran. Methods: Mapping was used to display the distribution of the crashes. Determining the distribution pattern of crashes and the hot spots/ low-risk areas were done, using Moran’s I index and Getis-Ord G, respectively. Results: A total of 198 crashes were studied; 92 of which, (46.4%) occurred in 2013 to 2014 and other 106 cases (63.6%) occurred in 2014 to 2015. The highest and the lowest frequency of crashes was related to January (26 cases) and June (10 cases), respectively. One hundred fifty- eight cases (79.8%) of crashes occurred in Tehran highways. Moran’s index showed that the studied traffic crashes had a cluster distribution (p<0.001). Getis- Ord General G index indicated that the distribution of hot and cold spots of the studied crashes was statistically significant (p<0.001). Conclusion: The majority of traffic crashes causing death to pedestrians occurred in highways located in the main entrances and exits of Tehran. Given the important role of environmental factors in the occurrence of traffic crashes related to pedestrians, identification of these factors requires more studies with casual inferences.
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spelling pubmed-53076062017-02-16 Spatial analysis to identify high risk areas for traffic crashes resulting in death of pedestrians in Tehran Moradi, Ali Soori, Hamid Kavousi, Amir Eshghabadi, Farshid Jamshidi, Ensiyeh Zeini, Salahdien Med J Islam Repub Iran Original Article Background: More than 20% of deaths from traffic crashes are related to pedestrians. This figure in Tehran, the capital of Iran, reaches to 40%. This study aimed to determine the high-risk areas and spatially analyze the traffic crashes, causing death to pedestrians in Tehran. Methods: Mapping was used to display the distribution of the crashes. Determining the distribution pattern of crashes and the hot spots/ low-risk areas were done, using Moran’s I index and Getis-Ord G, respectively. Results: A total of 198 crashes were studied; 92 of which, (46.4%) occurred in 2013 to 2014 and other 106 cases (63.6%) occurred in 2014 to 2015. The highest and the lowest frequency of crashes was related to January (26 cases) and June (10 cases), respectively. One hundred fifty- eight cases (79.8%) of crashes occurred in Tehran highways. Moran’s index showed that the studied traffic crashes had a cluster distribution (p<0.001). Getis- Ord General G index indicated that the distribution of hot and cold spots of the studied crashes was statistically significant (p<0.001). Conclusion: The majority of traffic crashes causing death to pedestrians occurred in highways located in the main entrances and exits of Tehran. Given the important role of environmental factors in the occurrence of traffic crashes related to pedestrians, identification of these factors requires more studies with casual inferences. Iran University of Medical Sciences 2016-11-27 /pmc/articles/PMC5307606/ /pubmed/28210615 Text en © 2016 Iran University of Medical Sciences http://creativecommons.org/licenses/by-nc/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution NonCommercial 3.0 License (CC BY-NC 3.0), which allows users to read, copy, distribute and make derivative works for non-commercial purposes from the material, as long as the author of the original work is cited properly.
spellingShingle Original Article
Moradi, Ali
Soori, Hamid
Kavousi, Amir
Eshghabadi, Farshid
Jamshidi, Ensiyeh
Zeini, Salahdien
Spatial analysis to identify high risk areas for traffic crashes resulting in death of pedestrians in Tehran
title Spatial analysis to identify high risk areas for traffic crashes resulting in death of pedestrians in Tehran
title_full Spatial analysis to identify high risk areas for traffic crashes resulting in death of pedestrians in Tehran
title_fullStr Spatial analysis to identify high risk areas for traffic crashes resulting in death of pedestrians in Tehran
title_full_unstemmed Spatial analysis to identify high risk areas for traffic crashes resulting in death of pedestrians in Tehran
title_short Spatial analysis to identify high risk areas for traffic crashes resulting in death of pedestrians in Tehran
title_sort spatial analysis to identify high risk areas for traffic crashes resulting in death of pedestrians in tehran
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5307606/
https://www.ncbi.nlm.nih.gov/pubmed/28210615
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