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A quantitative traffic performance comparison study of bicycles and E-bikes at the non-signalized intersections: Evidence from survey data.
Chai, Hao; Zhang, Zhipeng; Xue, Jie; Hu, Hao.
Afiliación
  • Chai H; Data-Driven Management Decision Making Lab, Shanghai Jiao Tong University, Shanghai, China.
  • Zhang Z; Data-Driven Management Decision Making Lab, Shanghai Jiao Tong University, Shanghai, China; Shanghai Key Laboratory for Digital Maintenance of Buildings and Infrastructure, School of Naval Architecture, Ocean & Civil Engineering, Shanghai Jiao Tong University, Shanghai, China. Electronic address
  • Xue J; Shanghai Key Laboratory for Digital Maintenance of Buildings and Infrastructure, School of Naval Architecture, Ocean & Civil Engineering, Shanghai Jiao Tong University, Shanghai, China.
  • Hu H; Data-Driven Management Decision Making Lab, Shanghai Jiao Tong University, Shanghai, China.
Accid Anal Prev ; 178: 106853, 2022 Dec.
Article en En | MEDLINE | ID: mdl-36201959
ABSTRACT
As common transportation modes at non-signalized intersections, bicycles and e-bikes have been involved in most traffic crashes. Although a large number of studies have been dedicated to studying the safety problems caused by bicycles and e-bikes, there is still limited attention paid to the differences between them, especially at non-signalized intersections. This paper compares the differences between bicycles and e-bikes based on a self-administered questionnaire. This questionnaire was distributed to bicycle users (N = 453) and e-bike users (N = 439). The personal characteristics, decision-making capacity, the feeling of infrastructure, perceived level of service, and perceived level of risk were adopted as the performance indicators to depict the difference in the study area. Using statistical methodologies and the Structural Equation Model (SEM), key findings indicate that perceived level of service was found to be significantly different between bicycles and e-bikes at most non-signalized intersections. 43.4 % of e-bike riders often or always choose to avoid riding under extreme weather, while 58.7 % of bicycle riders avoid riding under extreme weather. Moreover, compared with bicycles, e-bikes' decision-making capacity is affected more by infrastructure quality. The difference between bicycles and e-bikes highlights the need for differentiated development of cycling safety education and law enforcement.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ciclismo / Accidentes de Tránsito Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Accid Anal Prev Año: 2022 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ciclismo / Accidentes de Tránsito Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Accid Anal Prev Año: 2022 Tipo del documento: Article País de afiliación: China
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