Spatial Pricing in Ride-Sourcing Markets under a Congestion Charge
Sen Li, Hai Yang, Kameshwar Poolla, Pravin Varaiya

TL;DR
This paper develops a network economic equilibrium model to optimize spatial ride-sourcing pricing under congestion charges, analyzing different charge schemes' effects on traffic, costs, and revenue.
Contribution
It introduces a novel equilibrium model for spatial pricing with congestion charges and compares three charge schemes' impacts on congestion and revenue.
Findings
One-directional cordon charge reduces traffic and travel costs outside congestion zones.
Cordon charge is more effective in congestion mitigation with lower overall costs.
Trip-based charge is more effective for revenue generation with less impact on users.
Abstract
This paper studies the optimal spatial pricing for a ride-sourcing platform subject to a congestion charge. The platform determines the ride prices over the transportation network to maximize its profit, while the regulatory agency imposes the congestion charge to reduce traffic congestion in the urban core. A network economic equilibrium model is proposed to capture the intimate interactions among passenger demand, driver supply, passenger and driver waiting times, platform pricing, vehicle repositioning and flow balance over the transportation network. The overall optimal pricing problem is cast as a non-convex program. An algorithm is proposed to approximately compute its optimal solution, and a tight upper bound is established to evaluate its performance loss with respect to the globally optimal solution. Using the proposed model, we compare the impacts of three forms of congestion…
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