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Risk factors affecting crash injury severity for different groups of e-bike riders: A classification tree-based logistic regression model.
Wang, Zhengwu; Huang, Shuai; Wang, Jie; Sulaj, Denisa; Hao, Wei; Kuang, Aiwu.
Affiliation
  • Wang Z; Key Laboratory of Highway Engineering of Ministry of Education, Changsha University of Science and Technology, Changsha 410114, China; School of Traffic and Transportation Engineering, Changsha University of Science and Technology, Changsha 410114, China.
  • Huang S; Key Laboratory of Highway Engineering of Ministry of Education, Changsha University of Science and Technology, Changsha 410114, China; School of Traffic and Transportation Engineering, Changsha University of Science and Technology, Changsha 410114, China.
  • Wang J; Key Laboratory of Highway Engineering of Ministry of Education, Changsha University of Science and Technology, Changsha 410114, China; School of Traffic and Transportation Engineering, Changsha University of Science and Technology, Changsha 410114, China. Electronic address: wjie334@163.com.
  • Sulaj D; School of Traffic and Transportation Engineering, Changsha University of Science and Technology, Changsha 410114, China.
  • Hao W; School of Traffic and Transportation Engineering, Changsha University of Science and Technology, Changsha 410114, China.
  • Kuang A; School of Traffic and Transportation Engineering, Changsha University of Science and Technology, Changsha 410114, China.
J Safety Res ; 76: 176-183, 2021 02.
Article in En | MEDLINE | ID: mdl-33653549
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Risk-Taking / Bicycling / Accidents, Traffic / Injury Severity Score Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: En Journal: J Safety Res Year: 2021 Document type: Article Affiliation country: China Country of publication: United States
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Risk-Taking / Bicycling / Accidents, Traffic / Injury Severity Score Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: En Journal: J Safety Res Year: 2021 Document type: Article Affiliation country: China Country of publication: United States