A Novel Crowdsourcing Model for Micro-Mobility Ride-Sharing Systems
| dc.contributor.author | Elhenawy, Mohammed | en |
| dc.contributor.author | Komol, Mostafizur R. | en |
| dc.contributor.author | Masoud, Mahmoud | en |
| dc.contributor.author | Liu, Shi Qiang | en |
| dc.contributor.author | Ashqar, Huthaifa I. | en |
| dc.contributor.author | Almannaa, Mohammed Hamad | en |
| dc.contributor.author | Rakha, Hesham A. | en |
| dc.contributor.author | Rakotonirainy, Andry | en |
| dc.contributor.department | Virginia Tech Transportation Institute | en |
| dc.date.accessioned | 2021-07-09T18:30:31Z | en |
| dc.date.available | 2021-07-09T18:30:31Z | en |
| dc.date.issued | 2021-07-06 | en |
| dc.date.updated | 2021-07-08T14:24:20Z | en |
| dc.description.abstract | Substantial 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 suppliers. | en |
| dc.description.version | Published version | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | Elhenawy, M.; Komol, M.R.; Masoud, M.; Liu, S.Q.; Ashqar, H.I.; Almannaa, M.H.; Rakha, H.A.; Rakotonirainy, A. A Novel Crowdsourcing Model for Micro-Mobility Ride-Sharing Systems. Sensors 2021, 21, 4636. | en |
| dc.identifier.doi | https://doi.org/10.3390/s21144636 | en |
| dc.identifier.uri | http://hdl.handle.net/10919/104140 | en |
| dc.language.iso | en | en |
| dc.publisher | MDPI | en |
| dc.rights | Creative Commons Attribution 4.0 International | en |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en |
| dc.subject | micro-mobility | en |
| dc.subject | ride-sharing | en |
| dc.subject | agent-based modelling | en |
| dc.subject | crowdsourcing | en |
| dc.title | A Novel Crowdsourcing Model for Micro-Mobility Ride-Sharing Systems | en |
| dc.title.serial | Sensors | en |
| dc.type | Article - Refereed | en |
| dc.type.dcmitype | Text | en |
| dc.type.dcmitype | StillImage | en |