A geofencing-based methodology for speed limit regulation and user safety in e-scooter sharing systems

References

• Azeem, M. F. (2012). Fuzzy inference system: Theory and applications. BoD–Books on Demand.
   Google Scholar
• Bird. (n.d.). BirdBikeshare: Step through an eco-friendly ride. https://www.bird.co/
   Google Scholar
• BIT Mobility. (n.d.). BIT Mobility: Enjoy the way. https://bitmobility.it/
   Google Scholar
• Bonifacic, I. (2021, August 4). Bird tests geofencing system to slow scooters in pedestrian-heavy areas: Community Safety Zones limit the vehicles to speeds no greater than 8 miles per hour. Engadget. https://www.engadget.com/bird-community-safety-zones-pilot-181559087.html
   Google Scholar
• Campisi, T., Nahiduzzaman, K. M., Ticali, D., & Tesoriere, G. (2020). Bivariate analysis of the influencing factors of the upcoming personal mobility vehicles (PMVs) in Palermo. International Conference on Computational Science and Its Applications (pp. 868–881). Springer.
   Google Scholar
• Carrese, S., Giacchetti, T., Nigro, M., Algeri, G., & Ceccarelli, G. (2021). Analysis and management of E-scooter sharing service in Italy. 2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS) (pp. 1–7). IEEE. https://doi.org/10.1109/MT-ITS49943.2021.9529274
   Google Scholar
• Cicchino, J. B., Kulie, P. E., & McCarthy, M. L. (2021). Severity of e-scooter rider injuries associated with trip characteristics. Journal of Safety Research, 76, 256–261. https://doi.org/10.1016/j.jsr.2020.12.016
   PubMed Web of Science ®Google Scholar
• DRISI. (2020, January 17). Analyzing the potential of geofencing for electric bicycles and scooters in the public right of way. Caltrans. https://dot.ca.gov/-/media/dot-media/programs/research-innovation-system-information/documents/preliminary-investigations/geofencing-for-electric-bicycles-and-scooters-pi-a11y.pdf
   Google Scholar
• Field, C., & Jon, I. (2021). E-scooters: A new smart mobility option? The case of Brisbane, Australia. Planning Theory & Practice, 22(3), 368–396. https://doi.org/10.1080/14649357.2021.1919746
   Web of Science ®Google Scholar
• Goldberg, D. E. (1989). Genetic algorithms in search, optimization & machine learning. Addison-Wesley.
   Google Scholar
• Gössling, S. (2020). Integrating e-scooters in urban transportation: Problems, policies, and the prospect of system change. Transportation Research Part D: Transport and Environment, 79, 102230. https://doi.org/10.1016/j.trd.2020.102230
   Web of Science ®Google Scholar
• Hardt, C., & Bogenberger, K. (2019). Usage of e-scooters in urban environments. Transportation Research Procedia, 37, 155–162. https://doi.org/10.1016/j.trpro.2018.12.178
   Google Scholar
• Ignaccolo, M., Inturri, G., Cocuzza, E., Giuffrida, N., Le Pira, M., & Torrisi, V. (2022). Developing micromobility in urban areas: Network planning criteria for e-scooters and electric micromobility devices. Transportation Research Procedia, 60, 448–455. https://doi.org/10.1016/j.trpro.2021.12.058
   Google Scholar
• Jang, J. S. (1993). ANFIS: Adaptive-network-based fuzzy inference system. IEEE Transactions on Systems, Man, and Cybernetics, 23(3), 665–685. https://doi.org/10.1109/21.256541
   Web of Science ®Google Scholar
• Liazos, A., Iliopoulou, C., Kepaptsoglou, K., & Bakogiannis, E. (2022). Geofence planning for electric scooters. Transportation Research Part D: Transport and Environment, 102, 103149. https://doi.org/10.1016/j.trd.2021.103149
   Web of Science ®Google Scholar
• Likas, A., Vlassis, N., & Verbeek, J. J. (2003). The global k-means clustering algorithm. Pattern Recognition, 36(2), 451–461. https://doi.org/10.1016/S0031-3203(02)00060-2
   Web of Science ®Google Scholar
• Link by Superpedestrian. (n.d.). Link. https://www.link.city/
   Google Scholar
• Lu, M., Traut, E. J., Ilgin Guler, S., & Hu, X. (in press). Analysis of spatial interactions among shared e-scooters, shared bikes, and public transit. Journal of Intelligent Transportation Systems. Advance online publication. https://doi.org/10.1080/15472450.2023.2174803
   Google Scholar
• Ma, Q., Yang, H., Mayhue, A., Sun, Y., Huang, Z., & Ma, Y. (2021). E-scooter safety: The riding risk analysis based on mobile sensing data. Accident; Analysis and Prevention, 151, 105954. https://doi.org/10.1016/j.aap.2020.105954
   PubMed Web of Science ®Google Scholar
• Mattsson, P. (2021, September 7). Voi och Tier: Begränsa antalet elscooter-bolag i svenska städer. Dagens Industri. https://www.di.se/nyheter/voi-och-tier-begransa-antalet-elscooter-bolag-i-svenska-stader/
   Google Scholar
• Merlin, L. A., Yan, X., Xu, Y., & Zhao, X. (2021). A segment-level model of shared, electric scooter origins and destinations. Transportation Research Part D: Transport and Environment, 92, 102709. https://doi.org/10.1016/j.trd.2021.102709
   Google Scholar
• Moran, M. E. (2021). Drawing the map: The creation and regulation of geographic constraints on shared bikes and e-scooters in San Francisco, CA. Journal of Transport and Land Use, 14(1), 197–218. https://doi.org/10.5198/jtlu.2021.1816
   Web of Science ®Google Scholar
• Moran, M. E., Laa, B., & Emberger, G. (2020). Six scooter operators, six maps: Spatial coverage and regulation of micromobility in Vienna, Austria. Case Studies on Transport Policy, 8(2), 658–671. https://doi.org/10.1016/j.cstp.2020.03.001
   Web of Science ®Google Scholar
• Nikiforiadis, A., Paschalidis, E., Stamatiadis, N., Raptopoulou, A., Kostareli, A., & Basbas, S. (2021). Analysis of attitudes and engagement of shared e-scooter users. Transportation Research Part D: Transport and Environment, 94, 102790. https://doi.org/10.1016/j.trd.2021.102790
   Web of Science ®Google Scholar
• Prencipe, L. P., Colovic, A., De Bartolomeo, S., Caggiani, L., & Ottomanelli, M. (2022). An efficiency indicator for micromobility safety assessment. 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe), Prague, Czech Republic (pp. 1–6). IEEE.
   Google Scholar
• Sharp, S. (2019, September 19). Did your rented e-scooter suddenly shut down? Blame the invisible geofence. The Seattle Times. https://www.seattletimes.com/business/did-your-rented-e-scooter-suddenly-shut-down-blame-the-invisible-geofence/
   Google Scholar
• Siebert, F. W., Hoffknecht, M., Englert, F., Edwards, T., Useche, S. A., & Rötting, M. (2021). Safety related behaviors and law adherence of shared E-scooter riders in Germany. International Conference on Human-Computer Interaction (pp. 446–456). Springer.
   Google Scholar
• Spik, D. (2017, October 4). What is geofencing? Geotab. https://www.geotab.com/blog/what-is-geofencing/
   Google Scholar
• Stigson, H., Malakuti, I., & Klingegård, M. (2021). Electric scooters accidents: Analyses of two Swedish accident data sets. Accident; Analysis and Prevention, 163, 106466. https://doi.org/10.1016/j.aap.2021.106466
   PubMedGoogle Scholar
• Sugeno, M. (1985). Industrial applications of fuzzy control. Elsevier Science Inc.
   Google Scholar
• Superpedestrian. (n.d.). Empowering you to move better. Move smarter. https://www.superpedestrian.com/
   Google Scholar
• White, P. S. (2020, August 26). Good (geo)fences make good neighbors: LINK introduces the industry’s fastest and most accurate geofencing. Medium. https://link-city.medium.com/good-geo-fences-make-good-neighbors-5af63b6a2843
   Google Scholar
• Yang, H., Ma, Q., Wang, Z., Cai, Q., Xie, K., & Yang, D. (2020). Safety of micro-mobility: Analysis of E-Scooter crashes by mining news reports. Accident; Analysis and Prevention, 143, 105608. https://doi.org/10.1016/j.aap.2020.105608
   PubMed Web of Science ®Google Scholar
• Zhu, R., Zhang, X., Kondor, D., Santi, P., & Ratti, C. (2020). Understanding spatio-temporal heterogeneity of bike-sharing and scooter-sharing mobility. Computers, Environment and Urban Systems, 81, 101483. https://doi.org/10.1016/j.compenvurbsys.2020.101483
   Web of Science ®Google Scholar