Next Article in Journal
Toxicity of Exhaust Fumes (CO, NOx) of the Compression-Ignition (Diesel) Engine with the Use of Simulation
Previous Article in Journal
Effects of Environmental Regulations on Technological Innovation Efficiency in China’s Industrial Enterprises: A Spatial Analysis
Previous Article in Special Issue
The Effect of Market Orientation on Performance of Sharing Economy Business: Focusing on Marketing Innovation and Sustainable Competitive Advantage
Open AccessArticle

A Two-Sided Matching Model for Task Distribution in Ridesharing: A Sustainable Operations Perspective

by Qin Yang 1,*, Jinfeng Liu 1, Xing Liu 1, Cejun Cao 2,3,* and Wei Zhang 1
1
School of Business, Sichuan Normal University, Chengdu 610101, China
2
School of Business Planning, Chongqing Technology and Business University, Chongqing 400067, China
3
College of Management and Economics, Tianjin University, Tianjin 300072, China
*
Authors to whom correspondence should be addressed.
Sustainability 2019, 11(7), 2187; https://doi.org/10.3390/su11072187
Received: 16 January 2019 / Revised: 25 March 2019 / Accepted: 5 April 2019 / Published: 11 April 2019
(This article belongs to the Special Issue Sharing Economy for Sustainability)
With regard to task distribution in a ridesharing company, both the suitability of the tasks assigned to the drivers and the acceptability of the riders receiving the service should be simultaneously considered to improve the sustainability regarding Hitch services. Firstly, the process of the bi-directional choice between the drivers and the riders is described as a one-to-one two-sided matching problem. Next, prospect theory is used to characterize the psychological perceived behavior of both sides towards the matching scheme under the multiple criteria. Thus, the suitability function concerning the drivers and the acceptability function regarding the riders are naturally constructed. Following this, a two-sided matching decision model with two objectives is proposed. Finally, numerical experiments are presented to verify the feasibility and effectiveness of the proposed model. Besides, managerial insights associated with how to set the optimization objectives under unbalanced supply-demand in ridesharing companies are given. Increasingly, this paper aims to not only validate the proposed methodology, but also to highlight the importance and urge of incorporating sustainability into the task distribution problem in ridesharing. View Full-Text
Keywords: ridesharing; task distribution; two-sided matching model; sustainable operations ridesharing; task distribution; two-sided matching model; sustainable operations
Show Figures

Figure 1

MDPI and ACS Style

Yang, Q.; Liu, J.; Liu, X.; Cao, C.; Zhang, W. A Two-Sided Matching Model for Task Distribution in Ridesharing: A Sustainable Operations Perspective. Sustainability 2019, 11, 2187.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop