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Traffic Injury Prevention Volume 20, 2019 - Issue 2
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Analysis of risk-taking behaviors of electric bicycle riders in response to pedestrian countdown signal devices

Ruikang YuMOE Key Laboratory for Urban Transportation Complex System Theory and Technology, School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China; View further author information
,
Hui ZhaoMOE Key Laboratory for Urban Transportation Complex System Theory and Technology, School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China; Correspondence[email protected]
ORCID Iconhttp://orcid.org/0000-0002-8508-8018View further author information
ORCID Icon,
Cuiping ZhangSchool of Computer Science, Beijing Information Science & Technology University, Beijing, ChinaORCID Iconhttp://orcid.org/0000-0002-4888-0751View further author information
ORCID Icon &
Ziyang WangMOE Key Laboratory for Urban Transportation Complex System Theory and Technology, School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China; View further author information
Pages 182-188 | Received 25 Mar 2017, Accepted 25 Oct 2018, Published online: 19 Mar 2019

Citations (12)

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Xing Gao, Jing Zhao & Hang Gao. (2020) Red-light running behavior of delivery-service E-cyclists based on survival analysis. Traffic Injury Prevention 21:8, pages 558-562.
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Articles from other publishers (11)

Marcel Niemann, Karl F. Braun, Ellen Otto, Michael Tiefenbrunner, Jonas Wüster, Ulrich Stöckle, Sufian S. Ahmad, Sven Märdian & Frank Graef. (2023) Dangers of e-mobility: A systematic review and meta-analysis of sustained injury patterns and injury severity. Safety Science 167, pages 106283.
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Xiangtong Su, Xiaobao Yang, Ziyou Gao & Dongdong Song. (2023) Evaluating alternate discrete outcome frameworks for modeling riders' red light running behavior. Accident Analysis & Prevention 191, pages 107232.
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Huitao Lv, Haojie Li, N.N. Sze & Gang Ren. (2022) The impacts of non-motorized traffic enforcement cameras on red light violations of cyclists at signalized intersections. Journal of Safety Research 83, pages 310-322.
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Jian Wang, Ye Chen & Dawei Chen. (2022) Analyzing Safety Concerns of (e-) Bikes and Cycling Behaviors at Intersections in Urban Area. Sustainability 14:7, pages 4231.
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Feifei Xin, Yifan Chen & Yitong Ye. (2022) Understanding Electric Bicycle Users’ Mode Choice Preference under Uncertainty: A Case Study of Shanghai. Sustainability 14:2, pages 925.
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Fan Zhang, Chenchen Kuai, Huitao Lv & Wenhao Li. (2021) Investigating Different Types of Red-Light Running Behaviors among Urban e-Bike Rider Mixed Groups. Journal of Advanced Transportation 2021, pages 1-9.
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Ting Tan, Jianxiao Ma, Zhen Yang, Mengyue Zhu, Chenhong Zong & Hao Li. (2021) A Study on a Prediction Model of E-Bike Expansion Degree at Irregular Signalized Intersections. Applied Sciences 11:15, pages 6852.
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Guoqiang Zhang, Qiqi Zhou & Jun Chen. (2021) Exploring Factors Impacting on the Lane Choice of Riders of Non-Motorized Vehicles at Exit Legs of Signalized At-Grade Intersections. International Journal of Environmental Research and Public Health 18:12, pages 6327.
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Hua Qin, Yuhao Wei, Qidi Zhang & Liang Ma. (2021) An observational study on the risk behaviors of electric bicycle riders performing meal delivery at urban intersections in China. Transportation Research Part F: Traffic Psychology and Behaviour 79, pages 107-117.
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Fan Zhang, Yanjie Ji, Huitao Lv & Xinwei Ma. (2021) Analysis of factors influencing delivery e-bikes’ red-light running behavior: A correlated mixed binary logit approach. Accident Analysis & Prevention 152, pages 105977.
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Jing Cai, Jianyou Zhao, Jing Liu, Ke Shen, Xun Li & Yuntao Ye. (2020) Exploring Factors Affecting the Yellow-Light Running Behavior of Electric Bike Riders at Urban Intersections in China. Journal of Advanced Transportation 2020, pages 1-12.
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