References
- Cherry CR, Yang H, Jones LR, He M. 2016. Dynamics of electric bike ownership and use in Kunming, China. Transp Policy. 45:127–135. doi:10.1016/j.tranpol.2015.09.007
- Schepers J, Fishman E, Den Hertog P, Wolt KK, Schwab A. 2014. The safety of electrically assisted bicycles compared to classic bicycles. Accid Anal Prev. 73:174–180. doi:10.1016/j.aap.2014.09.010
- Du W, Yang J, Powis B, Zheng X, Ozanne-Smith J, Bilston L, He JLin, Ma T, Wang X, Wu M, et al. 2014. Epidemiological profile of hospitalised injuries among electric bicycle riders admitted to a rural hospital in Suzhou: a cross-sectional study. Inj Prev. 20(2):128–133. doi:10.1136/injuryprev-2012-040618
- Blackman RA, Haworth NL. 2013. Comparison of moped, scooter and motorcycle crash risk and crash severity. Accid Anal Prev. 57:1–9. doi:10.1016/j.aap.2013.03.026
- Wu C, Yao L, Zhang K. 2012. The red-light running behavior of electric bike riders and cyclists at urban intersections in China: an observational study. Accid Anal Prev. 49:186–192. doi:10.1016/j.aap.2011.06.001
- Schleinitz K, Petzoldt T, Kröling S, Gehlert T, Mach S. 2019. (E-)Cyclists running the red light–The influence of bicycle type and infrastructure characteristics on red light violations. Accid Anal Prev. 122:99–107. doi:10.1016/j.aap.2018.10.002
- Fraboni F, Puchades VM, De Angelis M, Pietrantoni L, Prati G. 2018. Red-light running behavior of cyclists in Italy: an observational study. Accid Anal Prev. 120:219–232. doi:10.1016/j.aap.2018.08.013
- Pai C, Jou R. 2014. Cyclists' red-light running behaviours: an examination of risk-taking, opportunistic, and law-obeying behaviours. Accid Anal Prev. 62:191–198. doi:10.1016/j.aap.2013.09.008
- Zhao J, Knoop VL, Wang M. 2020. Two-dimensional vehicular movement modelling at intersections based on optimal control. Transport Res B-Meth. 138:1–22. doi:10.1016/j.trb.2020.04.001
- Bai L, Liu P, Guo Y, Yu H. 2015. Comparative analysis of risky behaviors of electric bicycles at signalized intersections. Traffic Inj Prev. 16(4):424–428. doi:10.1080/15389588.2014.952724
- Kulanthayan S, See LG, Kaviyarasu Y, Afiah MN. 2012. Prevalence and determinants of non-standard motorcycle safety helmets amongst food delivery workers in Selangor and Kuala Lumpur. Injury. 43(5):653–659. doi:10.1016/j.injury.2011.06.197
- Yu R, Zhao H, Zhang C, Wang Z. 2019. Analysis of risk-taking behaviors of electric bicycle riders in response to pedestrian countdown signal devices. Traffic Inj Prev. 20(2):182–188. doi:10.1080/15389588.2018.1542138
- Yang X, Huan M, Abdel-Aty M, Peng Y, Gao Z. 2015. A hazard-based duration model for analyzing crossing behavior of cyclists and electric bike riders at signalized intersections. Accid Anal Prev. 74:33–41. doi:10.1016/j.aap.2014.10.014
- Kosola S, Salminen P, Kallio P. 2016. Driver's education may reduce annual incidence and severity of moped and scooter accidents. A population-based study. Injury. 47(1):239–243. doi:10.1016/j.injury.2015.10.074
- Huan M, Yang X, Jia B. 2013. Crossing reliability of electric bike riders at urban intersections. Math Probl Eng. 2013:108636.
- Tang K, Dong S, Wang F, Ni Y, Sun J. 2012. Behavior of riders of electric bicycles at onset of green and yellow at signalized intersections in China. Transp Res Record. 2317(1):85–96. doi:10.3141/2317-11
- Zhang Y, Wu C. 2013. The effects of sunshields on red light running behavior of cyclists and electric bike riders. Accid Anal Prev. 52:210–218. doi:10.1016/j.aap.2012.12.032
- Guo Y, Li Z, Wu Y, Xu C. 2018. Exploring unobserved heterogeneity in bicyclists' red-light running behaviors at different crossing facilities . Accid Anal Prev. 115:118–127. doi:10.1016/j.aap.2018.03.006
- Chung Y, Song T, Yoon B. 2014. Injury severity in delivery-motorcycle to vehicle crashes in the Seoul metropolitan area. Accid Anal Prev. 62:79–86. doi:10.1016/j.aap.2013.08.024
- Engstrand J, Nilsson H, Strömberg C, Jonas E, Freedman J. 2018. Colorectal cancer liver metastases–a population-based study on incidence, management and survival. BMC Cancer. 18(1):78. doi:10.1186/s12885-017-3925-x