2024

• Al‐Habaibeh, A., Shakmak, B., Watkins, M. and Shin, H.-J. (2024). A Novel Method of Using Sound Waves and Artificial Intelligence for the Detection of Vehicle’s Proximity from Cyclists and E-Scooters. MethodsX. https://doi.org/10.1016/j.mex.2023.102534.
• Comi, A., Hriekova, O., and Nigro, M. (2024). Exploring road safety in the era of micro-mobility: evidence from Rome. Transportation Research Procedia. https://doi.org/10.1016/j.trpro.2024.02.008.
• Janikian, G.S., Caird, J.K., Hagel, B. and Reay, G. (2024). A scoping review of E-scooter safety: Delightful urban slalom or injury epidemic? Transportation Research Part F: Traffic Psychology and Behaviour. https://doi.org/10.1016/j.trf.2023.12.015.
• Kazemzadeh, K., and Afghari, A.P. (2024). Wriggling in the crowd: An inquiry into the interactions between electric bikes and pedestrians in a shared space. Travel Behaviour and Society. https://doi.org/10.1016/j.tbs.2024.100781.
• Tyndall, J. (2024). The effect of front-end vehicle height on pedestrian death risk. Economics of Transportation. https://doi.org/10.1016/j.ecotra.2024.100342.
• Zakhem, M. and Janille Smith‐Colin (2024). An E-scooter route assignment framework to improve user safety, comfort and compliance with city rules and regulations. Transportation Research Part A: Policy and Practice. https://doi.org/10.1016/j.tra.2023.103930.
• Zhang, R., Cai, J., Guo, F., Hu, F., Wang, Y. and Hu, Y. (2024). A hazard-based duration model for analyzing crossing risk exposure time of electric two-wheeler riders at signalized intersections. Measurement. https://doi.org/10.1016/j.measurement.2024.114470.

2023

• Duy Dinh, D. and Hoai Nam, V. (2023). Examining the determinants of electric bike riders’ attitudes towards traffic safety and risky driving behaviours amongst high-school students in Vietnam. Transportation Research Interdisciplinary Perspectives. https://doi.org/10.1016/j.trip.2023.100889.
• Felix Wilhelm Siebert, Riis, C., Kira Hyldekær Janstrup, Lin, H. and Frederik Boe Hüttel (2023). Computer vision-based helmet use registration for e-scooter riders – The impact of the mandatory helmet law in Copenhagen. Journal of Safety Research. https://doi.org/10.1016/j.jsr.2023.09.021.
• Li, T.-H. .S, Jordanka Kovaceva and Dozza, M. (2023). Modeling collision avoidance maneuvers for micromobility vehicles. Journal of Safety Research. https://doi.org/10.1016/j.jsr.2023.09.019
• 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.
• Qian, Q. and Shi, J. (2023). Comparison of injury severity between E-bikes-related and other two-wheelers-related accidents: Based on an accident dataset. Accident Analysis & Prevention. https://doi.org/10.1016/j.aap.2023.107189.
• Sexton, E., Harmon, K.J., Sanders, R.L., Shah, N.R., Bryson, M., Brown, C.T. and Cherry, C.R. (2023). Shared e-scooter rider safety behaviour and injury outcomes: a review of studies in the United States. Transport Reviews. https://doi.org/10.1080/01441647.2023.2219838.
• 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.
• Walton, T., Elias, D.S. and Torija, A.J. (2023). Auditory alerts for e-scooters: Relationship between pedestrian auditory detection rates and alert sound level. Applied Acoustics. https://doi.org/10.1016/j.apacoust.2023.109683.
• Wang, H., Fen Su, F., and Schwebel, D.C. (2023). Mobile phone use while cycling among e-bikers in China: Reasoned or social reactive? Journal of Safety Research. https://doi.org/10.1016/j.jsr.2023.01.002.
• Younes, H., Noland, R.B. and Andrews, C.J. (2023). Gender split and safety behavior of cyclists and e-scooter users in Asbury Park, NJ. Case Studies on Transport Policy. https://doi.org/10.1016/j.cstp.2023.101073.
• Zheng, Y., Ma, Y., Easa, S.M., Wu, H. and Feng, Z. (2023). Nomophobia, attitude and mobile phone use while riding an E-bike: Testing a dual-process model of self-control. Accident Analysis & Prevention. https://doi.org/10.1016/j.aap.2023.107032

2022

• 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.
• International Transport Forum. (2022). Streets that fit: Re-allocating space for better cities. https://www.itf-oecd.org/sites/default/files/docs/streets-fit-allocating-space-better-cities.pdf.
• 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.
• Liazos, A. et al. (2022). Geofence planning for electric scooters. Transportation Research Part D: Transport and Environment. https://doi.org/10.1016/j.trd.2021.103149.
• 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.
• Leoni, J., Tanelli, M., Strada, S.C., and Savaresi, S.M. (2022). Assessing e-scooters safety and drivability: a quantitative analysis. IFAC-PapersOnLine. https://doi.org/10.1016/j.ifacol.2022.10.294.
• Safer City Streets. (2022). Monitoring Progress in Urban Road Safety. International Transport Forum. https://www.itf-oecd.org/sites/default/files/docs/monitoring-progress-urban-road-safety-2022.pdf.
• Sun, S. and Xia, Y. (2022). The need for wider non-motor lanes: A study on the bicycle electrification process in China. Journal of Transport & Health. https://doi.org/10.1016/j.jth.2022.101374.
• 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.

2021

• European Platform of Sustainable Urban Mobility Plans. (2021). Safe use of Micromobility Devices in Urban Areas. https://www.eltis.org/sites/default/files/sump_topic_guide_micromobility_devices.pdf.
• Kommers, A., and Brommelstroet, M. (2021). Divide or conquer: Problems and solutions for conflict definitions between different users of the cycle path. Contribution to the Colloquium Transport Planological Investigation. https://www.cvs-congres.nl/e2/site/cvs/custom/site/upload/file/cvs_2021/sessie_d/d6/cvs_79_verdeel_of_heers_problemen_en_oplossingsrichtingen_voor_conflictdefinities_tussen_verschillende_gebruikers_van_het_fietspad_1_2021.pdf .
• 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.

Earlier

• Hertach, P., Uhr, A., Niemann, S., and Cavegn, M. (2018). Characteristics of single-vehicle crashes with e-bikes in Switzerland. Accident Analysis & Prevention. https://doi.org/10.1016/j.aap.2018.04.021.