Analysis of Influencing Factors of Drivers’ Fault Emergency Response Behavior in CMV-NCMV Crashes
Drivers’ fault emergency response behavior can easily lead to crashes, resulting in significant economic and property losses. Exploring the causes of improper emergency response behavior is crucial for regulating driver behavior and preventing crash. Therefore, based on crashes data between commerci...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2024/3606205 |
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| _version_ | 1832559463663403008 |
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| author | Panyi Wei Jianling Huang Yanyan Chen Jianming Ma Yunchao Zhang Shaohua Wang Ning Chen |
| author_facet | Panyi Wei Jianling Huang Yanyan Chen Jianming Ma Yunchao Zhang Shaohua Wang Ning Chen |
| author_sort | Panyi Wei |
| collection | DOAJ |
| description | Drivers’ fault emergency response behavior can easily lead to crashes, resulting in significant economic and property losses. Exploring the causes of improper emergency response behavior is crucial for regulating driver behavior and preventing crash. Therefore, based on crashes data between commercial motor vehicles (CMVs) and noncommercial motor vehicles (NCMVs) that occurred in China from 2014 to 2018, this study established a binary logistic regression model. It systematically analyzed the key factors influencing drivers’ fault emergency response behaviors in terms of individuals, vehicles, road conditions, environment, and corporate management. Additionally, it compared the differences in the influencing factors of fault emergency response behaviors between drivers of CMV and NCMV. The results indicate that the model fits well. The presence of faulty emergency response behavior in drivers is significantly correlated with five factors: age, gender, fatigue driving, speeding, and weather conditions. Moreover, these factors have different impacts on CMV drivers and NCMV drivers. Fatigue driving and speeding have a more significant impact on CMV drivers, while other factors are more pronounced for NCMV drivers. This study can provide valuable insights for the development of measures aimed at reducing the severity of CMV-NCMV crashes. |
| format | Article |
| id | doaj-art-08d4435782ac42ecbb03221e5c78f4ed |
| institution | Kabale University |
| issn | 2042-3195 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-08d4435782ac42ecbb03221e5c78f4ed2025-02-03T01:29:51ZengWileyJournal of Advanced Transportation2042-31952024-01-01202410.1155/2024/3606205Analysis of Influencing Factors of Drivers’ Fault Emergency Response Behavior in CMV-NCMV CrashesPanyi Wei0Jianling Huang1Yanyan Chen2Jianming Ma3Yunchao Zhang4Shaohua Wang5Ning Chen6Beijing University of TechnologyBeijing Transportation Information CenterBeijing University of TechnologyThe Texas Department of TransportationBeijing University of TechnologyTianjin University of Technology and EducationBeijing University of TechnologyDrivers’ fault emergency response behavior can easily lead to crashes, resulting in significant economic and property losses. Exploring the causes of improper emergency response behavior is crucial for regulating driver behavior and preventing crash. Therefore, based on crashes data between commercial motor vehicles (CMVs) and noncommercial motor vehicles (NCMVs) that occurred in China from 2014 to 2018, this study established a binary logistic regression model. It systematically analyzed the key factors influencing drivers’ fault emergency response behaviors in terms of individuals, vehicles, road conditions, environment, and corporate management. Additionally, it compared the differences in the influencing factors of fault emergency response behaviors between drivers of CMV and NCMV. The results indicate that the model fits well. The presence of faulty emergency response behavior in drivers is significantly correlated with five factors: age, gender, fatigue driving, speeding, and weather conditions. Moreover, these factors have different impacts on CMV drivers and NCMV drivers. Fatigue driving and speeding have a more significant impact on CMV drivers, while other factors are more pronounced for NCMV drivers. This study can provide valuable insights for the development of measures aimed at reducing the severity of CMV-NCMV crashes.http://dx.doi.org/10.1155/2024/3606205 |
| spellingShingle | Panyi Wei Jianling Huang Yanyan Chen Jianming Ma Yunchao Zhang Shaohua Wang Ning Chen Analysis of Influencing Factors of Drivers’ Fault Emergency Response Behavior in CMV-NCMV Crashes Journal of Advanced Transportation |
| title | Analysis of Influencing Factors of Drivers’ Fault Emergency Response Behavior in CMV-NCMV Crashes |
| title_full | Analysis of Influencing Factors of Drivers’ Fault Emergency Response Behavior in CMV-NCMV Crashes |
| title_fullStr | Analysis of Influencing Factors of Drivers’ Fault Emergency Response Behavior in CMV-NCMV Crashes |
| title_full_unstemmed | Analysis of Influencing Factors of Drivers’ Fault Emergency Response Behavior in CMV-NCMV Crashes |
| title_short | Analysis of Influencing Factors of Drivers’ Fault Emergency Response Behavior in CMV-NCMV Crashes |
| title_sort | analysis of influencing factors of drivers fault emergency response behavior in cmv ncmv crashes |
| url | http://dx.doi.org/10.1155/2024/3606205 |
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