Abstract
Electric bicycle (E-bike) traffic crashes have become an important traffic safety problem in many Chinese cities. Based on the traffic crash data of E-bikes from Xintang region in Hangzhou, China, the time distribution, spatial distribution, and influencing factors for electric bicycles-related traffic crashes were analyzed, and the main factors that affect the traffic crash of electric bicycles were obtained. On this basis, a logistic model of the influencing factors on the severity of traffic crashes for electric bicycles was set up. The key factors affecting the severity of traffic crashes on electric bicycles were obtained, which provided the basis for the prevention and safety management of traffic crashes on electric bicycles.
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Acknowledgements
This work was supported by the Zhejiang Provincial Natural Science Foundation of China (LQ17E080001), and the China Postdoctoral Science Foundation.
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Xu, C., Yu, X. (2019). Modeling and Analysis of Crash Severity for Electric Bicycle. In: De Pietro, G., Gallo, L., Howlett, R., Jain, L., Vlacic, L. (eds) Intelligent Interactive Multimedia Systems and Services. KES-IIMSS-18 2018. Smart Innovation, Systems and Technologies, vol 98. Springer, Cham. https://doi.org/10.1007/978-3-319-92231-7_38
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DOI: https://doi.org/10.1007/978-3-319-92231-7_38
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