Research on relationship between risk perception and cycling crashes in electric cyclists

Zheng, Changjiang; Liu, Yanan; Ma, Genghua; Deng, Pingxin; Zhang, Jing

doi:10.1177/1687814019851639

Cited by 7 publications

(4 citation statements)

References 19 publications

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“…Users of different genders have different physical skills and psychological states; thus, gender difference also has an impact on the behavior of cyclists. Wu et al [61] studied the riding behaviors of male and female cyclists through survey data, and found that the probability of male users running a red light was higher than that of female users, especially when the mopeds of male users had greater dynamic performance [41,62,63]. According to the questionnaire survey results of Yao and Wu [13], it was found that gender was significantly related to traffic accidents, whereby men were more likely to have traffic accidents than women.…”

Section: Analysis Of Characteristics Of E-bike Usersmentioning

confidence: 99%

“…According to the list of independent variables and dependent variables used in previous studies [10,12,13,25,27,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64], we found that the characteristics of e-bike users, such as vision, hearing, age group, reaction ability, and psychological factors, are the main reasons affecting the risky riding behavior of cyclists, as well as red light duration and traffic sign marking. For example, Du et al [13], Wang [42], and Zhang et al [53] found that independent variables, such as group psychology and waiting too long for the red light, were the main risky riding behaviors related to running a red light.…”

Section: Analysis Of Characteristics Of E-bike Usersmentioning

confidence: 99%

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Risk Riding Behaviors of Urban E-Bikes: A Literature Review

Yang

Zhou

et al. 2019

IJERPH

108

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In order to clearly understand the risky riding behaviors of electric bicycles (e-bikes) and analyze the riding characteristics, we review the research results of the e-bike risky riding behavior from three aspects: the characteristics and causes of e-bike accidents, the characteristics of users’ traffic behavior, and the prevention and intervention of traffic accidents. The analysis results show that the existing research methods on risky riding behavior of e-bikes mainly involve questionnaire survey methods, structural equation models, and binary probability models. The illegal occupation of motor vehicle lanes, over-speed cycling, red-light running, and illegal manned and reverse cycling are the main risky riding behaviors seen with e-bikes. Due to the difference in physiological and psychological characteristics such as gender, age, audiovisual ability, responsiveness, patience when waiting for a red light, congregation, etc., there are differences in risky cycling behaviors of different users. Accident prevention measures, such as uniform registration of licenses, the implementation of quasi-drive systems, improvements of the riding environment, enhancements of safety awareness and training, are considered effective measures for preventing e-bike accidents and protecting the traffic safety of users. Finally, in view of the shortcomings of the current research, the authors point out three research directions that can be further explored in the future. The strong association rules between risky riding behavior and traffic accidents should be explored using big data analysis. The relationships between risk awareness, risky cycling, and traffic accidents should be studied using the scales of risk perception, risk attitude, and risk tolerance. In a variety of complex mixed scenes, the risk degree, coupling characteristics, interventions, and the coupling effects of various combination intervention measures of e-bike riding behaviors should be researched using coupling theory in the future.

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Section: Analysis Of Characteristics Of E-bike Usersmentioning

confidence: 99%

Section: Analysis Of Characteristics Of E-bike Usersmentioning

confidence: 99%

Risk Riding Behaviors of Urban E-Bikes: A Literature Review

Yang

Zhou

et al. 2019

IJERPH

108

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“…Moving on to age, it seems like there is a tendency in the subjects’ self-assessment: the older the driver, the better the evaluation, while the younger the driver, the more infractions are accepted (Zheng et al, 2019). However, post-hoc analyses point out that this difference is not significant in the same way in every behavior, and neither in every group, and that it is not necessarily linear.…”

Section: Discussionmentioning

confidence: 99%

Differences in the Assessment of Safe and Risky Driving Behaviors: Pedestrians Versus Drivers

et al. 2022

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Interactions between pedestrians and drivers are an important traffic safety issue. Psycho-social factors such as thoughts, perceptions and attitudes toward other people can be reliable predictors of riskier or safer behaviors among road users. The aim of this study was to assess how frequently participants perceive that drivers perform safe and risky road behaviors through drivers’ self-reported behavior and pedestrians and other drivers’ external perceptions. The results show that pedestrians assess the road behaviors of drivers in a seriously negative way. Meanwhile, drivers perceive their own behaviors as more appropriate than those performed by the rest of drivers. Women attribute more favorable assessments to other users’ road behavior. Similarly, older drivers do the same, and consider themselves “safer” users. On the contrary, younger drivers report a higher frequency of self-rated unsafe behaviors. The study highlights the importance of working on the awareness of self-rated road behaviors. Road safety interventions and programs in Spain must consider the differences related to gender and age.

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“…Wang et al have verified that risk perception is the basis of safety driving attitudes [17]. Zheng's research provides a strategy by which personality characteristics can increase safety effectiveness and change their risk perception and safety attitudes and further reduce dangerous driving attitudes among drivers in China [18].…”

Section: Risk Perceptionmentioning

confidence: 99%

Conceptual Model of Relationship Between Transformational and Passive Leadership, Safety Knowledge, Safety Attitude, Riding Confidence, Risk Perception, and Risky Driving Behavior

Amjad¹,

Susanto²,

Handayani³

2021

Proceedings of the International Conference on Science and Engineering (ICSE-UIN-SUKA 2021)

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In 2020 the development of online public transportation in Indonesia increased significantly. There will be 21.7 million registered users in Indonesia. Online motorcycle taxis are public transportation that is in great demand by the public. But besides that, the high number of motorcycle accidents and especially the high number of online motorcycle taxi drivers is a new problem in online motorcycle taxi public transportation security services. Although, the online motorcycle taxi company has collaborated with PT. Sarana Aman Berkendara since 2016 until now, as a facilitator for online motorcycle taxi drivers in conducting driving safety training programs purposed to prioritize the safety and comfort of passengers. But the results according to the Minister of Transportation in 2017, Budi Karya stated that online motorcycle taxis accounted for 58.715 cases of road accidents in 2017. That indicates that online motorcycle taxi drivers engage in unsafe driving behavior. So, this study aims to determine the influence of factors that influence risky driving behavior and the differences in their effects on drivers who have participated in the driver safety program of PT. Sarana Aman Berkendara and those who have not followed the safety program. This study uses several models that have applied to previous studies. Our model consists of 5 variables and 74 indicators. There are ten hypotheses to be tested using the SEM-PLS method. We used 140 respondents as our sample. The results showed that the sample drivers who took part in the program and did not follow the program had the same number. There are four relationship hypotheses rejected. Other than that, it shows that safety knowledge and riding confidence are perceived to play a major role in reducing risky driving behavior. The recommendation for online motorcycle taxi transportation is to increase the influence of transformational leaders so that safety knowledge will be increased and reduce risky driving behavior.

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Research on relationship between risk perception and cycling crashes in electric cyclists

Cited by 7 publications

References 19 publications

Risk Riding Behaviors of Urban E-Bikes: A Literature Review

Risk Riding Behaviors of Urban E-Bikes: A Literature Review

Differences in the Assessment of Safe and Risky Driving Behaviors: Pedestrians Versus Drivers

Conceptual Model of Relationship Between Transformational and Passive Leadership, Safety Knowledge, Safety Attitude, Riding Confidence, Risk Perception, and Risky Driving Behavior

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