Electric Scooters

811 days ago

12 minutes

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  • Ayyildiz, E. (2022). A novel pythagorean fuzzy multi-criteria decision-making methodology for e-scooter charging station location-selection. Transportation Research Part D: Transport and Environment. https://doi.org/10.1016/j.trd.2022.103459.
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  • Brost, M., Ehrenberger, E., Dasgupta, I., Hahn, R., and Gebhardt, L. (2022). The Potential of Light Electric Vehicles for Climate Protection Through Substitution for Passenger Car Trips – Germany as a case study. German Aerospace Center (DLR) Prepared for LEVA-EU. https://www.dropbox.com/s/r0sbnfd88e49ip3/2022-03-15_LEV4Climate_DLR_report.pdf?dl=0.
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  • Choi, S., Kwak, K., Yang, S., Lim, S., and Woo, JR. (2022). Effects of policy instruments on electric scooter adoption in Jakarta, Indonesia: A discrete choice experiment approach. Economic Analysis and Policy. https://doi.org/10.1016/j.eap.2022.08.015.
  • 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.
  • Esztergár-Kiss, D., Tordai, D., and Lopez Lizarraga, J.C. (2022). Assessment of travel behavior related to e-scooters using a stated preference experiment. Transportation Research Part A: Policy and Practice. https://doi.org/10.1016/j.tra.2022.11.010.
  • Foissaud, N., Gioldasis, C., Tamura, S., Christoforou, Z., and Farhi, N. (2022). Free-floating e-scooter usage in urban areas: A spatiotemporal analysis. Journal of Transport Geography. https://doi.org/10.1016/j.jtrangeo.2022.103335.
  • Gebhardt, L., Ehrenberger, S., Wolf, C., and Cyganski, R. (2022). Can shared E-scooters reduce CO2 emissions by substituting car trips in Germany? Transportation Research Part D: Transport and Environment. https://doi.org/10.1016/j.trd.2022.103328.
  • 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.
  • Javadinasr, M., Asgharpour, S., Rahimi, E., et al. (2022). Eliciting attitudinal factors affecting the continuance use of E-scooters: An empirical study in Chicago. Transportation Research Part F: Traffic Psychology and Behaviour. https://doi.org/10.1016/j.trf.2022.03.019.
  • 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.
  • Kazemzadeh, K., and Sprei, F. (2022). Towards an electric scooter level of service: A review and framework. Travel Behaviour and Society. https://doi.org/10.1016/j.tbs.2022.06.005.
  • Kimpton, A., Loginova, J., Pojani, D., et al. (2022). Weather to scoot? How weather shapes shared e-scooter ridership patterns. Journal of Transport Geography. https://doi.org/10.1016/j.jtrangeo.2022.103439.
  • 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.
  • Leurent, F. (2022). What is the value of swappable batteries for a shared e-scooter service? Research in Transportation Business & Management. https://doi.org/10.1016/j.rtbm.2022.100843.
  • Li, H., Yuan, Z., Novack, T., Huang, W., and Zipf, A. (2022). Understanding spatiotemporal trip purposes of urban micro-mobility from the lens of dockless e-scooter sharing. Computers, Environment and Urban Systems. https://doi.org/10.1016/j.compenvurbsys.2022.101848.
  • Li, A., Zhao, P., and Liu, X. et al. (2022). Comprehensive comparison of e-scooter sharing mobility: Evidence from 30 European cities. Transportation Research Part D: Transport and Environment. https://doi.org/10.1016/j.trd.2022.103229.
  • Li, H., Yuan, Z., and Novack, T., et al. (2022). Understanding spatiotemporal trip purposes of urban micro-mobility from the lens of dockless e-scooter sharing. Computers, Environment and Urban Systems. https://doi.org/10.1016/j.compenvurbsys.2022.101848.
  • Liazos, A., Iliopoulou, C., Kepaptsoglou, K., and Bakogiannis, E. (2022). Geofence planning for electric scooters. Transportation Research Part D: Transport and Environment. https://doi.org/10.1016/j.trd.2021.103149.
  • Ma, Q., Xin, Y., Yang, H., and Xie, K. (2022). Connecting metros with shared electric scooters: Comparisons with shared bikes and taxis. Transportation Research Part D: Transport and Environment. https://doi.org/10.1016/j.trd.2022.103376.
  • Maher, F., Dháibhéid, C.M., Bowe, C., and Kearns, G. (2022). Maxillofacial injuries and electric scooter use in Ireland. Oral and Maxillofacial Surgery. https://doi.org/10.1016/j.bjoms.2022.11.174.
  • McQueen, M., and Clifton, k.j. (2022). Assessing the perception of E-scooters as a practical and equitable first-mile/last-mile solution. Transportation Research Part A: Policy and Practice. https://doi.org/10.1016/j.tra.2022.09.021.
  • Mouratidis, K. (2022). Bike-sharing, car-sharing, e-scooters, and Uber: Who are the shared mobility users and where do they live?. Sustainable Cities and Society. https://doi.org/10.1016/j.scs.2022.104161.
  • Öztaş Karlı, R.G., Karlı, H., and Çelikyay, H.S. (2022). Investigating the acceptance of shared e-scooters: Empirical evidence from Turkey. Case Studies on Transport Policy. https://doi.org/10.1016/j.cstp.2022.03.018.
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  • Suominen, E., Sajanti, A., Silver, E. et al. (2022). Alcohol intoxication and lack of helmet use are common in Electric Scooter related Traumatic Brain Injuries: a consecutive patient series from a tertiary university hospital. Brain and Spine. https://doi.org/10.1016/j.bas.2022.101553.
  • Tokey, A.I., Shioma, S.A., and Jamal, S. (2022). Analysis of spatiotemporal dynamics of e-scooter usage in Minneapolis: Effects of the built and social environment. Multimodal Transportation. https://doi.org/10.1016/j.multra.2022.100037.
  • Tzouras, P.G., Mitropoulos, L., Stavropoulou, E. et al. (2022). Agent-based models for simulating e-scooter sharing services: A review and a qualitative assessment. International Journal of Transportation Science and Technology. https://doi.org/10.1016/j.ijtst.2022.02.001.
  • 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.
  • Vallamsundar, S., Jaikumar, R., Venugopal, M. (2022). Exploring the Spatial-temporal dynamics of travel patterns and air pollution exposure of E-scooters. Journal of Transport Geography. https://doi.org/10.1016/j.jtrangeo.2022.103477.
  • Walton, T., Torija, A.J., and Elliott, A.S. (2022). Development of electric scooter alerting sounds using psychoacoustical metrics. Applied Acoustics. https://doi.org/10.1016/j.apacoust.2022.109136.
  • Wang, K., Qian, X., Fitch, D.T. et al. (2022). What travel modes do shared e-scooters displace? A review of recent research findings. Transport Reviews. https://doi.org/10.1080/01441647.2021.2015639.
  • Weschke, J., Oostendorp, R., and Hardinghaus, M. (2022). Mode shift, motivational reasons, and impact on emissions of shared e-scooter usage. Transportation Research Part D: Transport and Environment. https://doi.org/10.1016/j.trd.2022.103468.
  • Yang, H., Bao, Y., Huo, J., et al. (2022). Impact of road features on shared e-scooter trip volume: A study based on multiple membership multilevel model. Travel Behaviour and Society. https://doi.org/10.1016/j.tbs.2022.04.005.
  • Yang, H., Zheng, R., Li, X., et al. (2022). Nonlinear and threshold effects of the built environment on e-scooter sharing ridership. Journal of Transport Geography. https://doi.org/10.1016/j.jtrangeo.2022.103453.
  • Zhu, R., Kondor, D., and Cheng, C. et al. (2022). Solar photovoltaic generation for charging shared electric scooters. Applied Energy. https://doi.org/10.1016/j.apenergy.2022.118728.
  • Zuniga-Garcia, N., Tec, M., Scott, J.G., and Machemehl, R.B. (2022). Evaluation of e-scooters as transit last-mile solution. Transportation Research Part C: Emerging Technologies. https://doi.org/10.1016/j.trc.2022.103660.
  • Sanders, R. L., Branion-Calles, M., and Nelson, T. A. (2020). To scoot or not to scoot: Findings from a recent survey about the benefits and barriers of using E-scooters for riders and non-riders. Transportation Research Part A: policy and Practice. https://doi.org/10.1016/j.tra.2020.07.009.
  • Severengiz, S., Finke, S., Schelte, N., and Wendt, N. (2020). Life Cycle Assessment on the Mobility Service E-Scooter Sharing. 2020 IEEE European Technology and Engineering Management Summit. 10.1109/E-TEMS46250.2020.9111817.
Daan van Dieren

Daan is a policy officer for LEVA-EU

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