A Geographical and Temporal Risk Evaluation Method for Red-Light Violations by Pedestrians at Signalized Intersections: Analysis and Results of Suzhou, China
Red-light violations of pedestrians crossing at signal intersections is one of the key factors in pedestrian traffic accidents. Even though there are various studies on pedestrian behavior and pedestrian traffic conflicts, few focus on the risk of different crosswalks for the violating pedestrian gr...
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ftpubmed:oai:pubmedcentral.nih.gov:9654891 2023-05-15T18:06:14+02:00 A Geographical and Temporal Risk Evaluation Method for Red-Light Violations by Pedestrians at Signalized Intersections: Analysis and Results of Suzhou, China Xing, Jiping Zhang, Qi Cheng, Qixiu Zu, Zhenshan 2022-11-03 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9654891/ http://www.ncbi.nlm.nih.gov/pubmed/36361298 https://doi.org/10.3390/ijerph192114420 en eng MDPI http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9654891/ http://www.ncbi.nlm.nih.gov/pubmed/36361298 http://dx.doi.org/10.3390/ijerph192114420 © 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/). CC-BY Int J Environ Res Public Health Article Text 2022 ftpubmed https://doi.org/10.3390/ijerph192114420 2022-11-20T02:28:31Z Red-light violations of pedestrians crossing at signal intersections is one of the key factors in pedestrian traffic accidents. Even though there are various studies on pedestrian behavior and pedestrian traffic conflicts, few focus on the risk of different crosswalks for the violating pedestrian group. Due to the spatio-temporal nature of violation risk, this study proposes a geographical and temporal risk evaluation method for pedestrian red-light violations, which combines actual survey and video acquisition. First, in the geographical-based risk evaluation, the pedestrian violation rate at signal intersections is investigated by Pearson correlation analysis to extract the significant influencing factors from traffic conditions, built environment, and crosswalk facilities. Second, in the temporal-based risk evaluation, the survival analysis method is developed to quantify the risk of pedestrian violation in different scenarios as time passes by. Finally, this study selects 16 typical signalized intersections in Suzhou, China, with 881 pedestrian crosswalk violations from a total size of 4586 pedestrians as survey cases. Results indicate that crossing distance, traffic volume on the crosswalk, red-light time, and crosswalk-type variables all contribute to the effect of pedestrian violation from a geographical perspective, and the installation of waiting refuge islands has the most significant impact. From the temporal perspective, the increases in red-light time, number of lanes, and traffic volume have a mitigating effect on the violations with pedestrian waiting time increases. This study aims to provide a development-oriented path by proposing an analytical framework that reconsiders geographical and temporal risk factors of violation. The findings could help transport planners understand the effect of pedestrian violation-related traffic risk and develop operational measures and crosswalk design schemes for controlling pedestrian violations occurring in local communities. Text Refuge Islands PubMed Central (PMC) Lanes ENVELOPE(18.933,18.933,69.617,69.617) Refuge Islands ENVELOPE(-67.166,-67.166,-68.350,-68.350) International Journal of Environmental Research and Public Health 19 21 14420 |
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Article Xing, Jiping Zhang, Qi Cheng, Qixiu Zu, Zhenshan A Geographical and Temporal Risk Evaluation Method for Red-Light Violations by Pedestrians at Signalized Intersections: Analysis and Results of Suzhou, China |
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Red-light violations of pedestrians crossing at signal intersections is one of the key factors in pedestrian traffic accidents. Even though there are various studies on pedestrian behavior and pedestrian traffic conflicts, few focus on the risk of different crosswalks for the violating pedestrian group. Due to the spatio-temporal nature of violation risk, this study proposes a geographical and temporal risk evaluation method for pedestrian red-light violations, which combines actual survey and video acquisition. First, in the geographical-based risk evaluation, the pedestrian violation rate at signal intersections is investigated by Pearson correlation analysis to extract the significant influencing factors from traffic conditions, built environment, and crosswalk facilities. Second, in the temporal-based risk evaluation, the survival analysis method is developed to quantify the risk of pedestrian violation in different scenarios as time passes by. Finally, this study selects 16 typical signalized intersections in Suzhou, China, with 881 pedestrian crosswalk violations from a total size of 4586 pedestrians as survey cases. Results indicate that crossing distance, traffic volume on the crosswalk, red-light time, and crosswalk-type variables all contribute to the effect of pedestrian violation from a geographical perspective, and the installation of waiting refuge islands has the most significant impact. From the temporal perspective, the increases in red-light time, number of lanes, and traffic volume have a mitigating effect on the violations with pedestrian waiting time increases. This study aims to provide a development-oriented path by proposing an analytical framework that reconsiders geographical and temporal risk factors of violation. The findings could help transport planners understand the effect of pedestrian violation-related traffic risk and develop operational measures and crosswalk design schemes for controlling pedestrian violations occurring in local communities. |
format |
Text |
author |
Xing, Jiping Zhang, Qi Cheng, Qixiu Zu, Zhenshan |
author_facet |
Xing, Jiping Zhang, Qi Cheng, Qixiu Zu, Zhenshan |
author_sort |
Xing, Jiping |
title |
A Geographical and Temporal Risk Evaluation Method for Red-Light Violations by Pedestrians at Signalized Intersections: Analysis and Results of Suzhou, China |
title_short |
A Geographical and Temporal Risk Evaluation Method for Red-Light Violations by Pedestrians at Signalized Intersections: Analysis and Results of Suzhou, China |
title_full |
A Geographical and Temporal Risk Evaluation Method for Red-Light Violations by Pedestrians at Signalized Intersections: Analysis and Results of Suzhou, China |
title_fullStr |
A Geographical and Temporal Risk Evaluation Method for Red-Light Violations by Pedestrians at Signalized Intersections: Analysis and Results of Suzhou, China |
title_full_unstemmed |
A Geographical and Temporal Risk Evaluation Method for Red-Light Violations by Pedestrians at Signalized Intersections: Analysis and Results of Suzhou, China |
title_sort |
geographical and temporal risk evaluation method for red-light violations by pedestrians at signalized intersections: analysis and results of suzhou, china |
publisher |
MDPI |
publishDate |
2022 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9654891/ http://www.ncbi.nlm.nih.gov/pubmed/36361298 https://doi.org/10.3390/ijerph192114420 |
long_lat |
ENVELOPE(18.933,18.933,69.617,69.617) ENVELOPE(-67.166,-67.166,-68.350,-68.350) |
geographic |
Lanes Refuge Islands |
geographic_facet |
Lanes Refuge Islands |
genre |
Refuge Islands |
genre_facet |
Refuge Islands |
op_source |
Int J Environ Res Public Health |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9654891/ http://www.ncbi.nlm.nih.gov/pubmed/36361298 http://dx.doi.org/10.3390/ijerph192114420 |
op_rights |
© 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/). |
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CC-BY |
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https://doi.org/10.3390/ijerph192114420 |
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International Journal of Environmental Research and Public Health |
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19 |
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21 |
container_start_page |
14420 |
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