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A Method for Locational Risk Estimation of Vehicle–Children Accidents Considering Children’s Travel Purposes
The reduction in locational traffic accident risks through appropriate traffic safety management is important to support, maintain, and improve children’s safe and independent mobility. This study proposes and verifies a method to evaluate the risk of elementary school students-vehicle accidents (ES...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9655445/ https://www.ncbi.nlm.nih.gov/pubmed/36361002 http://dx.doi.org/10.3390/ijerph192114123 |
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author | Matsuo, Kojiro Miyazaki, Kosuke Sugiki, Nao |
author_facet | Matsuo, Kojiro Miyazaki, Kosuke Sugiki, Nao |
author_sort | Matsuo, Kojiro |
collection | PubMed |
description | The reduction in locational traffic accident risks through appropriate traffic safety management is important to support, maintain, and improve children’s safe and independent mobility. This study proposes and verifies a method to evaluate the risk of elementary school students-vehicle accidents (ESSVAs) at individual intersections on residential roads in Toyohashi city, Japan, considering the difference in travel purposes (i.e., school commuting purpose; SCP or non-school commuting purpose: NSCP), based on a statistical regression model and Empirical Bayes (EB) estimation. The results showed that the ESSVA risk of children’s travel in SCP is lower than that in NSCP, and not only ESSVAs in SCP but also most ESSVAs in NSCP occurred on or near the designated school routes. Therefore, it would make sense to implement traffic safety management and measures focusing on school routes. It was also found that the locational ESSVA risk structure is different depending on whether the purpose of the children’s travels is SCP or NSCP in the statistical model. Finally, it was suggested that evaluation of locational ESSVA risks based on the EB estimation is useful for efficiently extracting locations where traffic safety measures should be implemented compared to that only based on the number of accidents in the past. |
format | Online Article Text |
id | pubmed-9655445 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96554452022-11-15 A Method for Locational Risk Estimation of Vehicle–Children Accidents Considering Children’s Travel Purposes Matsuo, Kojiro Miyazaki, Kosuke Sugiki, Nao Int J Environ Res Public Health Article The reduction in locational traffic accident risks through appropriate traffic safety management is important to support, maintain, and improve children’s safe and independent mobility. This study proposes and verifies a method to evaluate the risk of elementary school students-vehicle accidents (ESSVAs) at individual intersections on residential roads in Toyohashi city, Japan, considering the difference in travel purposes (i.e., school commuting purpose; SCP or non-school commuting purpose: NSCP), based on a statistical regression model and Empirical Bayes (EB) estimation. The results showed that the ESSVA risk of children’s travel in SCP is lower than that in NSCP, and not only ESSVAs in SCP but also most ESSVAs in NSCP occurred on or near the designated school routes. Therefore, it would make sense to implement traffic safety management and measures focusing on school routes. It was also found that the locational ESSVA risk structure is different depending on whether the purpose of the children’s travels is SCP or NSCP in the statistical model. Finally, it was suggested that evaluation of locational ESSVA risks based on the EB estimation is useful for efficiently extracting locations where traffic safety measures should be implemented compared to that only based on the number of accidents in the past. MDPI 2022-10-29 /pmc/articles/PMC9655445/ /pubmed/36361002 http://dx.doi.org/10.3390/ijerph192114123 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Matsuo, Kojiro Miyazaki, Kosuke Sugiki, Nao A Method for Locational Risk Estimation of Vehicle–Children Accidents Considering Children’s Travel Purposes |
title | A Method for Locational Risk Estimation of Vehicle–Children Accidents Considering Children’s Travel Purposes |
title_full | A Method for Locational Risk Estimation of Vehicle–Children Accidents Considering Children’s Travel Purposes |
title_fullStr | A Method for Locational Risk Estimation of Vehicle–Children Accidents Considering Children’s Travel Purposes |
title_full_unstemmed | A Method for Locational Risk Estimation of Vehicle–Children Accidents Considering Children’s Travel Purposes |
title_short | A Method for Locational Risk Estimation of Vehicle–Children Accidents Considering Children’s Travel Purposes |
title_sort | method for locational risk estimation of vehicle–children accidents considering children’s travel purposes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9655445/ https://www.ncbi.nlm.nih.gov/pubmed/36361002 http://dx.doi.org/10.3390/ijerph192114123 |
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