Exploring injury severity of Non-Motor vehicle riders involving in traffic accidents using the generalized ordered logit model
This study aims to explore potential factors that affect non-motor vehicles (NMV) riders’ injury severity in accidents with motor vehicles (MV). Factors including human characteristics, vehicles, road features and environmental conditions were investigated. Police-reported crash data from the period...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-05-01
|
| Series: | Ain Shams Engineering Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2090447922002738 |
| _version_ | 1797961095978156032 |
|---|---|
| author | Long Zhao Changshuai Wang Hongtai Yang Xiangguo Wu Tong Zhu Jianjun Wang |
| author_facet | Long Zhao Changshuai Wang Hongtai Yang Xiangguo Wu Tong Zhu Jianjun Wang |
| author_sort | Long Zhao |
| collection | DOAJ |
| description | This study aims to explore potential factors that affect non-motor vehicles (NMV) riders’ injury severity in accidents with motor vehicles (MV). Factors including human characteristics, vehicles, road features and environmental conditions were investigated. Police-reported crash data from the period of 2007 to 2017 in Xi’an, China were used to develop the generalized ordered logit models. Model results revealed that NMV riders’ injury severity was significantly influenced by rider’s Hukou, type of NMV, type of roadside protection, road structure, linearity, weather, accident time, light condition and visibility level. Besides, factors involving NMV rider’s age, compulsory third party insurance, type of MV, season, road type will increase their risk of suffering from serious/fatal injuries. Research findings are beneficial in helping policymakers to develop measures to improve NMV riders’ safety in China, such as isolating NMV and MV, educating drivers especially those from rural areas, and improving road and environment conditions. |
| first_indexed | 2024-04-11T00:54:03Z |
| format | Article |
| id | doaj.art-19a9b9ce6d41496e8d371b65cbe9728d |
| institution | Directory Open Access Journal |
| issn | 2090-4479 |
| language | English |
| last_indexed | 2024-04-11T00:54:03Z |
| publishDate | 2023-05-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ain Shams Engineering Journal |
| spelling | doaj.art-19a9b9ce6d41496e8d371b65cbe9728d2023-01-05T06:46:59ZengElsevierAin Shams Engineering Journal2090-44792023-05-01145101962Exploring injury severity of Non-Motor vehicle riders involving in traffic accidents using the generalized ordered logit modelLong Zhao0Changshuai Wang1Hongtai Yang2Xiangguo Wu3Tong Zhu4Jianjun Wang5College of Transportation Engineering, Chang'an University, Xi’an, China; Xi'an City Planning & Design Iinstitute, Xi’an, ChinaSchool of Transportation, Southeast University, Nanjing, ChinaSchool of Transportation and Logistics, Southwest Jiaotong University, Chengdu, ChinaChongqing Transport Planning Institute, Chongqing, ChinaCollege of Transportation Engineering, Chang'an University, Xi’an, China; Corresponding authors.College of Transportation Engineering, Chang'an University, Xi’an, China; Corresponding authors.This study aims to explore potential factors that affect non-motor vehicles (NMV) riders’ injury severity in accidents with motor vehicles (MV). Factors including human characteristics, vehicles, road features and environmental conditions were investigated. Police-reported crash data from the period of 2007 to 2017 in Xi’an, China were used to develop the generalized ordered logit models. Model results revealed that NMV riders’ injury severity was significantly influenced by rider’s Hukou, type of NMV, type of roadside protection, road structure, linearity, weather, accident time, light condition and visibility level. Besides, factors involving NMV rider’s age, compulsory third party insurance, type of MV, season, road type will increase their risk of suffering from serious/fatal injuries. Research findings are beneficial in helping policymakers to develop measures to improve NMV riders’ safety in China, such as isolating NMV and MV, educating drivers especially those from rural areas, and improving road and environment conditions.http://www.sciencedirect.com/science/article/pii/S2090447922002738Traffic SafetyInjury SeverityGeneralized Ordered Logit ModelTraffic CrashDeveloping Country |
| spellingShingle | Long Zhao Changshuai Wang Hongtai Yang Xiangguo Wu Tong Zhu Jianjun Wang Exploring injury severity of Non-Motor vehicle riders involving in traffic accidents using the generalized ordered logit model Ain Shams Engineering Journal Traffic Safety Injury Severity Generalized Ordered Logit Model Traffic Crash Developing Country |
| title | Exploring injury severity of Non-Motor vehicle riders involving in traffic accidents using the generalized ordered logit model |
| title_full | Exploring injury severity of Non-Motor vehicle riders involving in traffic accidents using the generalized ordered logit model |
| title_fullStr | Exploring injury severity of Non-Motor vehicle riders involving in traffic accidents using the generalized ordered logit model |
| title_full_unstemmed | Exploring injury severity of Non-Motor vehicle riders involving in traffic accidents using the generalized ordered logit model |
| title_short | Exploring injury severity of Non-Motor vehicle riders involving in traffic accidents using the generalized ordered logit model |
| title_sort | exploring injury severity of non motor vehicle riders involving in traffic accidents using the generalized ordered logit model |
| topic | Traffic Safety Injury Severity Generalized Ordered Logit Model Traffic Crash Developing Country |
| url | http://www.sciencedirect.com/science/article/pii/S2090447922002738 |
| work_keys_str_mv | AT longzhao exploringinjuryseverityofnonmotorvehicleridersinvolvingintrafficaccidentsusingthegeneralizedorderedlogitmodel AT changshuaiwang exploringinjuryseverityofnonmotorvehicleridersinvolvingintrafficaccidentsusingthegeneralizedorderedlogitmodel AT hongtaiyang exploringinjuryseverityofnonmotorvehicleridersinvolvingintrafficaccidentsusingthegeneralizedorderedlogitmodel AT xiangguowu exploringinjuryseverityofnonmotorvehicleridersinvolvingintrafficaccidentsusingthegeneralizedorderedlogitmodel AT tongzhu exploringinjuryseverityofnonmotorvehicleridersinvolvingintrafficaccidentsusingthegeneralizedorderedlogitmodel AT jianjunwang exploringinjuryseverityofnonmotorvehicleridersinvolvingintrafficaccidentsusingthegeneralizedorderedlogitmodel |