Mehdizadeh, M., Nordfjaern, T., and Klöckner, C.A. (2023). Drunk or Sober? Number of alcohol units perceived to be safe before riding e-scooter. Accident Analysis & Prevention. https://doi.org/10.1016/j.aap.2022.106930.
Olsson, S.R., and Elldér, E. (2023). Are bicycle streets cyclist-friendly? Micro-environmental factors for improving perceived safety when cycling in mixed traffic. Accident Analysis & Prevention. https://doi.org/10.1016/j.aap.2023.107007.
Siebke, C., Bäumler, M., Blenz, K., et al. (2023). Predicting the impact on road safety of an intersection AEB at urban intersections. Using a novel virtual test field for the assessment of conflict prevention between cyclists/pedelecs and cars. Transportation Research Interdisciplinary Perspectives. https://doi.org/10.1016/j.trip.2022.100728.
Yubing Zheng a, Yang Ma a, Said M. Easa et al (2023). Nomophobia, attitude and mobile phone use while riding an E-bike: Testing a dual-process model of self-control. Science Direct https://doi.org/10.1016/j.aap.2023.107032
Brauner, T., Heumann, M., Kraschewski, T., et al. (2022). Web content mining analysis of e-scooter crash causes and implications in Germany. Accident Analysis & Prevention. https://doi.org/10.1016/j.aap.2022.106833.
Deveci, M., Gokasar, I., and Pamucar, D. et al. (2022). Safe E-scooter operation alternative prioritization using a q-rung orthopair Fuzzy Einstein based WASPAS approach. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2022.131239.
Gitelman, v., Korchatov, A., and Carmel, R. (2022). Safety-related behaviours of e-cyclists on urban streets: an observational study in Israel. Transportation Research Procedia. https://doi.org/10.1016/j.trpro.2021.12.079.
Heydari, S., Forrest, M., Preston, J. (2022). Investigating the association between neighbourhood characteristics and e-scooter safety. Sustainable Cities and Society. https://doi.org/10.1016/j.scs.2022.103982.
Huang, F.H. (2022). Exploring the factors influencing e-bike road safety: A survey study based on the experiences of Taiwanese cyclists. International Journal of Industrial Ergonomics. https://doi.org/10.1016/j.ergon.2022.103292.
Karpinski, E., Bayles, E., Daigle, L., and Mantine, D. (2022). Comparison of motor-vehicle involved e-scooter fatalities with other traffic fatalities. Journal of Safety Research. https://doi.org/10.1016/j.jsr.2022.10.008.
Liu, Y., Wan, X., Xu, W., et al. (2022). An intelligent method for accident reconstruction involving car and e-bike coupling automatic simulation and multi-objective optimizations. Accident Analysis & Prevention. https://doi.org/10.1016/j.aap.2021.106476.
Liu, Y., Wan, X., et al. (2022). A novel approach to investigate effects of front-end structures on injury response of e-bike riders: Combining Monte Carlo sampling, automatic operation, and data mining. Accident Analysis & Prevention. https://doi.org/10.1016/j.aap.2022.106599.
Useche, S.A., O’Hern, S., Gonzalez-Marin, A., et al. (2022). Unsafety on two wheels, or social prejudice? Proxying behavioral reports on bicycle and e-scooter riding safety – A mixed-methods study. Transportation Research Part F: Traffic Psychology and Behaviour. https://doi.org/10.1016/j.trf.2022.06.015.
Zhang, F., Ji, Y., Lv, H., et al. (2022). Self-reported anger among ordinary and delivery electric bike riders in China: A comparison based on the cycling anger scale. Transportation Research Part F: Traffic Psychology and Behaviour.https://doi.org/10.1016/j.trf.2022.06.002.
Serra, G.F., Fernandes, F.A.O., Noronha, E., and Alves de Sousa, R.J. (2021). Head protection in electric micromobility: A critical review, recommendations, and future trends. Accident Analysis & Prevention. https://doi.org/10.1016/j.aap.2021.106430.
Zakhem, M. and Smith-Colin, J. (2021). Micromobility implementation challenges and opportunities: Analysis of e-scooter parking and high-use corridors. Transportation research part D: Transport and environment. https://doi.org/10.1016/j.trd.2021.103082.