Related Risk Factors for Injury Severity of E-bike and Bicycle Crashes in Hefei

Hu, Feng; Lv, Donglai; Zhu, Jie; Fang, Jian

doi:10.1080/15389588.2013.817669

Cited by 109 publications

(87 citation statements)

References 9 publications

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“…Therefore, road design should be improved to separate VRU from motor vehicles through adding guardrails between motorway and bicycle lanes. 9 The logistic regression model reveals that older age (25 + ) and e-bike turning increased the injury severity of e-bike riders. On the contrary, the off-peak hour and the older driver (25 + ) of vehicle reduced the likelihood of crash to be fatal.…”

Section: Resultsmentioning

confidence: 99%

“…This result is quite similar to the results of existing researches on bicycles. 4,5,9 Concerning the crash site, 59% crashes occur at the intersection. The largest proportion (85%) of the types of road lanes is at the motor-vehicle lanes, which represents most of the EB rider has illegal action, in accordance with some research findings by Chinese researchers.…”

Section: Discussionmentioning

confidence: 99%

“…Injury reduction countermeasures should be highlighted to encourage and promote helmet use for vast e-bike riders in China. 6,8,9 Due to the limited data, some important varieties, for example, the speed of vehicle and the in-depth injury data of riders, are not included in the statistics and analysis. To develop measures to maximize the health benefits and minimize the risk of EB use, more in-depth research is needed, which should include a larger sample size and additional medical information such as injury severity score, injured body part, and length of hospitalization.…”

Section: Discussionmentioning

confidence: 99%

“…In Hefei, the capital of Anhui province, the data from 205 cases were investigated to explore the related factors of injuries caused by e-bike and bicycle crashes, which showed that injury severity was the most commonly suffered within the vehicle type. 9 Not only in China but also in some European countries, e-bike crashes have been taken into account. In Netherlands, Schepers et al 10 used logistic analysis to compare the risk of crashes with electric and classical bikes.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

What factors impact injury severity of vehicle to electric bike crashes in China?

Yuan

Hong-yuan

Huang

et al. 2017

Advances in Mechanical Engineering

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In place of pedestrians and bikes, crashes involving electric bikes have become a large portion of crashes in China in these years. Crash data from Beijing, China, from the year 2009 to 2015 are used to identify how the factors impact injury severity of vehicle to electric bike crashes. A total of 150 crash samples are collected in order to investigate the influence of human, vehicle, road, and environment characteristics on injury severity. For that reason, a binary logistic model is established to analyze the significance of main contributing factors of crashes. This article describes the sample data, which includes time of incident, road users' age and gender, crash patterns, and characteristics of road and environment. The results of descriptive statistics reveal that older riders and younger drivers are more likely to be involved in fatal crashes; the crashes have much higher frequency in motor vehicle roads, in suburban area, and in roads with higher speed limitation. The logistic regression model shows that older riders (age . 25) and electric bike turning increased the injury severity. On the contrary, the off-peak hour and the older driver (age . 25) of vehicle reduced the likelihood of fatal crash. These findings are hopeful to react on related research for accident prevention and injury reduction.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

What factors impact injury severity of vehicle to electric bike crashes in China?

Yuan

Hong-yuan

Huang

et al. 2017

Advances in Mechanical Engineering

View full text Add to dashboard Cite

show abstract

“…In recent years, more research has focused on e-bike-related safety issues, but almost all empirical studies have been related to China, given the relatively larger population of e-bike users [6,[28][29][30].…”

Section: E-bikementioning

confidence: 99%

Differences of Cycling Experiences and Perceptions between E-Bike and Bicycle Users in the United States

et al. 2017

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E-bikes are bicycles that provide pedal-assistance to aid people in cycling. Because of the potential of promoting sustainable transportation, more attention has been focused on the e-bike market. This paper investigates the differences of the cycling experience and perceptions between e-bike and conventional bicycle users, using samples drawn from independent bicycle dealer customers. A total of 806 respondents in the United States took the on-line survey, including 363 e-bike-owning respondents. The results show that e-bikes play a more important role in utilitarian travel, such as commuting and running errands, compared to a conventional bicycle. Conventional bicycle-owning respondents use their bicycles more for recreation and exercise. Also, e-bike owners tend to bike longer distances and take more trips per week. Both e-bike respondents and bicycle respondents stated that improved health was a key factor for cycling, while Millennials and Generation X respondents cycle to save time and improve the environment. Finally, an ordered logit model is proposed for evaluating factors that influence interest in future e-bike ownership. Travel purpose, e-bike familiarity, annual household income, and education level are statistically significant factors in the model. These findings begin to provide insight and a profile of potential new markets for e-bikes in the United States.

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Identification of Factors Influencing Crash Severity for Electric Bicycle Using Nondominated Sorting Genetic Algorithm

Cheng

2019

Smart Innovation, Systems and Technologies

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Related Risk Factors for Injury Severity of E-bike and Bicycle Crashes in Hefei

Abstract: With the study of e-bike/bicycle crashes in Hefei, primary identification of the risk factors for the traffic injuries is obtained. These findings are important in decision making regarding preventive measures.

Cited by 109 publications

References 9 publications

What factors impact injury severity of vehicle to electric bike crashes in China?

What factors impact injury severity of vehicle to electric bike crashes in China?

Differences of Cycling Experiences and Perceptions between E-Bike and Bicycle Users in the United States

Identification of Factors Influencing Crash Severity for Electric Bicycle Using Nondominated Sorting Genetic Algorithm

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