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

Sensors

Huthaifa I. Ashqar¹  Andry Rakotonirainy²  Mohammed Elhenawy²  Mostafizur R. Komol²  Mahmoud Masoud²  Mohammed Hamad Almannaa³  Hesham A. Rakha⁴  Shi Qiang Liu⁵ 

[1] Booz Allen Hamilton, Washington, DC 20003, USA;Centre for Accident Research and Road Safety, Queensland University of Technology, Brisbane 4059, Australia;Civil Engineering Department, King Saud University, Riyadh 11362, Saudi Arabia;Engineering and Director of the Center for Sustainable Mobility, Virginia Tech Transportation Institute, Blacksburg, Virginia 24060, Australia;School of Economics and Management, Fuzhou University, Fuzhou 350108, China;

关键词: micro-mobility;    ride-sharing;    agent-based modelling;    crowdsourcing;   

DOI  :  10.3390/s21144636

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown