Sangam: A Confluence of Knowledge Streams

A Novel Crowdsourcing Model for Micro-Mobility Ride-Sharing Systems

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dc.contributor Virginia Tech Transportation Institute
dc.creator Elhenawy, Mohammed
dc.creator Komol, Mostafizur R.
dc.creator Masoud, Mahmoud
dc.creator Liu, Shi Qiang
dc.creator Ashqar, Huthaifa I.
dc.creator Almannaa, Mohammed Hamad
dc.creator Rakha, Hesham A.
dc.creator Rakotonirainy, Andry
dc.date 2021-07-09T18:30:31Z
dc.date 2021-07-09T18:30:31Z
dc.date 2021-07-06
dc.date 2021-07-08T14:24:20Z
dc.date.accessioned 2023-03-01T18:52:40Z
dc.date.available 2023-03-01T18:52:40Z
dc.identifier 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.
dc.identifier http://hdl.handle.net/10919/104140
dc.identifier https://doi.org/10.3390/s21144636
dc.identifier.uri http://localhost:8080/xmlui/handle/CUHPOERS/281643
dc.description 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.
dc.description Published version
dc.format application/pdf
dc.format application/pdf
dc.language en
dc.publisher MDPI
dc.rights Creative Commons Attribution 4.0 International
dc.rights http://creativecommons.org/licenses/by/4.0/
dc.subject micro-mobility
dc.subject ride-sharing
dc.subject agent-based modelling
dc.subject crowdsourcing
dc.title A Novel Crowdsourcing Model for Micro-Mobility Ride-Sharing Systems
dc.title Sensors
dc.type Article - Refereed
dc.type Text
dc.type StillImage


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