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Traffic Injury Prevention Volume 18, 2017 - Issue 7
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Original Articles

Identifying factors affecting the safety of mid-block bicycle lanes considering mixed 2-wheeled traffic flow

Lu BaiJiangsu Key Laboratory of Urban ITS, Jiangsu Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, Nanjing, ChinaCorrespondence[email protected]
,
Ching-Yao ChanCalifornia PATH, University of California at Berkeley, Richmond, California
,
Pan LiuJiangsu Key Laboratory of Urban ITS, Jiangsu Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, Nanjing, China
&
Chengcheng XuJiangsu Key Laboratory of Urban ITS, Jiangsu Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, Nanjing, China
Pages 761-766 | Received 11 Jun 2016, Accepted 02 Mar 2017, Published online: 24 May 2017

Citations (14)

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Read on this site (2)

Jingfeng Ma, Gang Ren, Shunchao Wang, Jingcai Yu & Lichao Wang. (2022) Characterizing the effects of contributing factors on crash severity involving e-bicycles: a study based on police-reported data. International Journal of Injury Control and Safety Promotion 29:4, pages 463-474.
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Lu Bai, Pan Liu, N.N. Sze, Amy Guo Haggart, Ching-Yao Chan & Huaguo Zhou. (2021) Capacity estimation of midblock bike lanes with mixed two-wheeled traffic. Transportmetrica A: Transport Science 17:4, pages 1318-1341.
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Articles from other publishers (12)

Jibiao Zhou, Zewei Li, Sheng Dong, Jian Sun & Yibin Zhang. (2023) Visualization and bibliometric analysis of e-bike studies: A systematic literature review (1976–2023). Transportation Research Part D: Transport and Environment 122, pages 103891.
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Xintong Li, Chunyang Han, Helai Huang, Amjad Pervez, Guangming Xu, Cheng Hu, Qianshan Jiang & Yulu Wei. (2023) Pursuing higher acceptability and compliance for electric two-wheeler standardization policy in China: The importance of socio-demographic characteristics, psychological factors, and travel habits. Transportation Research Part A: Policy and Practice 167, pages 103557.
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Xintong Li, Helai Huang, Chunyang Han, Guangming Xu, Jaeyoung Lee & Cheng Hu. (2022) Optimization of depreciation subsidy policy strategies for electric two-wheelers for improving traffic safety. Transportation Safety and Environment 4:3.
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Hongliang Ding & N.N. Sze. (2022) Effects of road network characteristics on bicycle safety: A multivariate Poisson-lognormal model. Multimodal Transportation 1:2, pages 100020.
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Shengda Wu, Xiaoxiang Li, Feilong Wei, Xiaodong Yan & Jixian Qian. (2022) A retrospective study of spine injuries in electric bicycles related collisions. Injury 53:3, pages 1081-1086.
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Hongliang Ding, N.N. Sze, Yanyong Guo & Haojie Li. (2021) Role of exposure in bicycle safety analysis: Effect of cycle path choice. Accident Analysis & Prevention 153, pages 106014.
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Lu Bai & N.N. Sze. (2020) Red light running behavior of bicyclists in urban area: Effects of bicycle type and bicycle group size. Travel Behaviour and Society 21, pages 226-234.
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Yuxuan Xing, Zhiyuan Sun & Duo Wang. (2020) Investigating Influence Factors on Injury Severity of Electric and Non-electric Bicycle Crashes in Beijing. Investigating Influence Factors on Injury Severity of Electric and Non-electric Bicycle Crashes in Beijing.
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 12:3, pages 799.
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Xinhua Mao, Changwei Yuan, Jiahua Gan & Shiqing Zhang. (2019) Risk Factors Affecting Traffic Accidents at Urban Weaving Sections: Evidence from China. International Journal of Environmental Research and Public Health 16:9, pages 1542.
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Changjiang Zheng, Yanan Liu, Genghua Ma, Pingxin Deng & Jing Zhang. (2019) Research on relationship between risk perception and cycling crashes in electric cyclists. Advances in Mechanical Engineering 11:5, pages 168781401985163.
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Tao Wang, Jun Chen, Chen Wang & Xiaofei Ye. (2018) Understand e-bicyclist safety in China: Crash severity modeling using a generalized ordered logit model. Advances in Mechanical Engineering 10:6, pages 168781401878162.
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