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Dynamic Optimal Pricing of Ridesharing Platforms under Network Externalities with Stochastic Demand
2021
Complexity
Ridesharing two-sided platforms link the stochastic demand side and the self-scheduling capacity supply side where there are network externalities. The main purpose of this paper is to establish the optimal pricing model of ridesharing platforms to dynamically coordinate uncertain supply and stochastic demand with network externalities in order to maximize platforms' revenue and social welfare. We propose dynamic pricing strategies under two demand scenarios that minimize order loss in the
doi:10.1155/2021/6442797
fatcat:urfc55ug5bhglcswtyyvascey4