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4059. Platform coordination in ride-hailing through matching and pricing
Invited abstract in session MD-43: Simulation in economics II, stream Agent-based Models in Management, Economic and Organisation Sciences.
Monday, 14:30-16:00Room: 99 (building: 306)
Authors (first author is the speaker)
1. | Harit Joshi
|
Operations, Supply Chain and Quantitative Methods, SPJIMR | |
2. | Saral Mukherjee
|
Production and Quantitative Methods, Indian Institute of Management |
Abstract
Ride-hailing has evolved from the decentralized model in which taxis operate independently to the centralized model with on-demand matching of customer travel requests with the available drivers.
The existence of a coordinator is a difference between the decentralized model of hailing taxis and the centralized matching in ride-hailing platforms. More research needs to be conducted to quantify the differentiated value provided by the platform and how this value changes in different contexts.
In this paper, we quantify the value of coordination through matching in ride-hailing platforms by comparing differences in performance metrics between centralized and decentralized models. The performance metrics
include supply-side metrics like driver utilization, demand-side metrics like customer search time, and platform-side metrics like the number of unmatched customers.
Using an agent-based model, we show that the value of coordination is different for the two sides of the platform. We explore how the value of coordination changes with variations in (i) demand and supply characteristics like the spatiotemporal distribution of demand, (ii) driver characteristics like knowledge of high-demand zones, (iii) customer characteristics like patience levels, and (iv) network characteristics like topography. Our analysis offers insights to the platforms in understanding the role of demand, supply, behavioral, and network characteristics in the value generated through their operations.
Keywords
- Agent Systems
- Simulation
- Transportation
Status: accepted
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