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2019 | OriginalPaper | Chapter

Modeling and Analysis of Crash Severity for Electric Bicycle

Authors : Cheng Xu, Xiaonan Yu

Published in: Intelligent Interactive Multimedia Systems and Services

Publisher: Springer International Publishing

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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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Metadata
Title
Modeling and Analysis of Crash Severity for Electric Bicycle
Authors
Cheng Xu
Xiaonan Yu
Copyright Year
2019
Book
Intelligent Interactive Multimedia Systems and Services

Print ISBN: 978-3-319-92230-0

Electronic ISBN: 978-3-319-92231-7

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-319-92231-7_38

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