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

Abstract

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.

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“…Research on bilateral matching has been widely used in the fields of economy and management, for example, matching personnel and positions in human resource management [ 10 , 11 ], matching buyers and sellers in commodity transactions [ 12 , 13 ], pairing men and women in marriage [14] , [15] , [16] , and matching banks and enterprises in the credit market [ 17 , 18 ]. Regarding task distribution in a ridesharing company, Yang et al [19] proposed a two-sided matching decision model with two objectives. Regarding balance evaluative criteria in the two-sided matching (TSM) decision, Liang et al [20] proposed a quantitative matching decision model to select an optimal matching scheme for Public-Private Partnership(PPP) infrastructure projects based on the Hesitant Fuzzy Set (HFS).…”

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