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A pricing mechanism to improve capacity utilisation in ridesharing

Srikanth Krishnaprasad and Rajeev R. Tripathi
Journal Name
Journal of the Operational Research Society
Journal Publication
others
Publication Year
2022
Journal Publications Functional Area
Production & Operations Management
Publication Date
Vol. 73(4), 2022, Pg. 741-753
Abstract

Low vehicle occupancy is an issue faced by many ridesharing platforms. One of the ways to address this issue is to design a pricing mechanism that incentivises riders to join large-size pools. In this study, we propose a pricing mechanism and a decision rule to aid the platforms in achieving high capacity utilisation (forming large-size pools), even in the presence of rider inconveniences. We factor inconveniences due to both detouring and sharing of personal space while designing the mechanism. The proposed mechanism incentivises riders to join the “largest-size”pool and also ensure that no rider benefits at the cost of others. The decision rule helps to identify the right participants to share a ride. We employ cooperative game theory for this study.

A pricing mechanism to improve capacity utilisation in ridesharing

Author(s) Name: Srikanth Krishnaprasad and Rajeev R. Tripathi
Journal Name: Journal of the Operational Research Society
Volume: Vol. 73(4), 2022, Pg. 741-753
Year of Publication: 2022
Abstract:

Low vehicle occupancy is an issue faced by many ridesharing platforms. One of the ways to address this issue is to design a pricing mechanism that incentivises riders to join large-size pools. In this study, we propose a pricing mechanism and a decision rule to aid the platforms in achieving high capacity utilisation (forming large-size pools), even in the presence of rider inconveniences. We factor inconveniences due to both detouring and sharing of personal space while designing the mechanism. The proposed mechanism incentivises riders to join the “largest-size”pool and also ensure that no rider benefits at the cost of others. The decision rule helps to identify the right participants to share a ride. We employ cooperative game theory for this study.