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Impact of Helmet-Wearing Policy on E-Bike Safety Riding Behavior: A Bivariate Ordered Probit Analysis in Ningbo, China

Author

Listed:
  • Jibiao Zhou

    (College of Transportation Engineering, Tongji University, Shanghai 200082, China
    School of Civil and Transportation Engineering, Ningbo University of Technology, Ningbo 315211, China)

  • Tao Zheng

    (School of Civil and Transportation Engineering, Ningbo University of Technology, Ningbo 315211, China)

  • Sheng Dong

    (College of Transportation Engineering, Tongji University, Shanghai 200082, China)

  • Xinhua Mao

    (College of Transportation Engineering, Chang’an University, Xi’an 710064, China)

  • Changxi Ma

    (School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou 730070, China)

Abstract

At present, Chinese authorities are launching a campaign to convince riders of electric bicycles (e-bikes) and scooters to wear helmets. To explore the effectiveness of this new helmet policy on e-bike cycling behavior and improve existing e-bike management, this study investigates the related statistical distribution characteristics, such as demographic information, travel information, cycling behavior information and riders’ subjective attitude information. The behavioral data of 1048 e-bike riders related to helmet policy were collected by a questionnaire survey in Ningbo, China. A bivariate ordered probit (BOP) model was employed to account for the unobserved heterogeneity. The marginal effects of contributory factors were calculated to quantify their impacts, and the results show that the BOP model can explain the common unobserved features in the helmet policy and cycling behavior of e-bike riders, and that good safety habits stem from long-term safety education and training. The BOP model results show that whether wearing a helmet, using an e-bike after 19:00, and sunny days are factors that affect the helmet wearing rate. Helmet wearing, evenings during rush hour, and picking up children are some of the factors that affect e-bike accident rates. Furthermore, there is a remarkable negative correlation between the helmet wearing rate and e-bike accident rate. Based on these results, some interventions are discussed to increase the helmet usage of e-bike riders in Ningbo, China.

Suggested Citation

  • Jibiao Zhou & Tao Zheng & Sheng Dong & Xinhua Mao & Changxi Ma, 2022. "Impact of Helmet-Wearing Policy on E-Bike Safety Riding Behavior: A Bivariate Ordered Probit Analysis in Ningbo, China," IJERPH, MDPI, vol. 19(5), pages 1-21, February.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:5:p:2830-:d:760902
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    References listed on IDEAS

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    1. Darren Grant & Stephen M. Rutner, 2004. "The effect of bicycle helmet legislation on bicycling fatalities," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 23(3), pages 595-611.
    2. Elliot Fishman, 2016. "Bikeshare: A Review of Recent Literature," Transport Reviews, Taylor & Francis Journals, vol. 36(1), pages 92-113, January.
    3. Emmanuel Bonnet & Lucie Lechat & Valéry Ridde, 2018. "What interventions are required to reduce road traffic injuries in Africa? A scoping review of the literature," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-20, November.
    4. Yanyong Guo & Yao Wu & Jian Lu & Jibiao Zhou, 2019. "Modeling the Unobserved Heterogeneity in E-bike Collision Severity Using Full Bayesian Random Parameters Multinomial Logit Regression," Sustainability, MDPI, vol. 11(7), pages 1-12, April.
    5. Sang Chul Kim & Young Sun Ro & Sang Do Shin & Joo Yeong Kim, 2016. "Preventive Effects of Safety Helmets on Traumatic Brain Injury after Work-Related Falls," IJERPH, MDPI, vol. 13(11), pages 1-15, October.
    6. Jin, Sheng & Qu, Xiaobo & Zhou, Dan & Xu, Cheng & Ma, Dongfang & Wang, Dianhai, 2015. "Estimating cycleway capacity and bicycle equivalent unit for electric bicycles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 225-248.
    7. Geoffrey Rose, 2012. "E-bikes and urban transportation: emerging issues and unresolved questions," Transportation, Springer, vol. 39(1), pages 81-96, January.
    8. Dong, Hongming & Zhong, Shiquan & Xu, Shuxian & Tian, Junfang & Feng, Zhongxiang, 2021. "The relationships between traffic enforcement, personal norms and aggressive driving behaviors among normal e-bike riders and food delivery e-bike riders," Transport Policy, Elsevier, vol. 114(C), pages 138-146.
    9. Changxi Ma & Jibiao Zhou & Dong Yang & Yuanyuan Fan, 2020. "Research on the Relationship between the Individual Characteristics of Electric Bike Riders and Illegal Speeding Behavior: A Questionnaire-Based Study," Sustainability, MDPI, vol. 12(3), pages 1-12, January.
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