Investigating Influence Factors on Injury Severity of Electric and Non-electric Bicycle Crashes in Beijing

Abstract

The objective of this study was to identify influence factors on injury severity of electric and non-electric bicycle crashes and discuss the differences between them in Beijing, China. Generalized linear model (GLM) and classification and regression tree (CART) were proposed to investigate significant influence factors and the importance order of influence factors, respectively. Based on GLM, seven factors were significant in electric bicycle crashes whereas five factors were significant in non-electric bicycle crashes. CART implied the most important factors was type of motor vehicle both in electric and non-electric bicycle crashes. However, other important factors showed different characteristic in the two type of crashes. This paper gives detailed information for electric and non-electric bicycle crashes, which provides reference for government to implement measures precisely.