Elhenawy, MohammedKomol, Mostafizur R.Masoud, MahmoudLiu, Shi QiangAshqar, HuthaifaAlmannaa, Mohammed HamadRakha, Hesham A.Rakotonirainy, Andry2021-09-292021-09-292021-07-06Elhenawy, Mohammed et al.; A Novel Crowdsourcing Model for Micro-Mobility Ride-Sharing Systems; Sensors, 21(14), 4636, 6 July, 2021; https://doi.org/10.3390/s21144636https://doi.org/10.3390/s21144636http://hdl.handle.net/11603/23038Substantial research is required to ensure that micro-mobility ride sharing provides a better fulfilment of user needs. This study proposes a novel crowdsourcing model for the ride-sharing system where light vehicles such as scooters and bikes are crowdsourced. The proposed model is expected to solve the problem of charging and maintaining a large number of light vehicles where these efforts will be the responsibility of the crowd of suppliers. The proposed model consists of three entities: suppliers, customers, and a management party responsible for receiving, renting, booking, and demand matching with offered resources. It can allow suppliers to define the location of their private e-scooters/e-bikes and the period of time they are available for rent. Using a dataset of over 9 million e-scooter trips in Austin, Texas, we ran an agent-based simulation six times using three maximum battery ranges (i.e., 35, 45, and 60 km) and different numbers of e-scooters (e.g., 50 and 100) at each origin. Computational results show that the proposed model is promising and might be advantageous to shift the charging and maintenance efforts to a crowd of suppliers17 pagesen-USThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.Attribution 4.0 International (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/Text