Subsidy Strategies of Ride-Hailing Platforms Considering Taxi Street-Hailing during Order Overflow

The emergence of ride-hailing services has revolutionized the transportation industry for passengers, prompting taxi services to evolve from the conventional method of street-hailing to a combined "online-offline" operational approach.In this new model, taxis combine on-street pickups with platform-based orders.When market supply and demand are imbalanced, leading to excess orders, taxis prioritize street-hailing for faster customer acquisition.Meanwhile, ride-hailing platforms address surging passenger demand by offering subsidies to attract more vehicles to participate in online dispatching.This study focuses on the strategic choices of ride-hailing platforms and taxis during order overflow scenarios.An evolutionary game model is constructed to simulate taxi streethailing behavior under such conditions.Simulations are conducted to generate interpolation-based probability curves, including the probability of taxis accepting offline orders and the probability of regional orders being served.These findings offer recommendations for ride-hailing platforms on designing subsidy strategies in response to changes in regional order density.Additionally, the study examines how factors such as order distance, passenger-seeking costs, and platform commission rates influence taxis' order acceptance strategies.

Publication Details

Journal
Journal of Combinatorial Mathematics and Combinatorial Computing
Published
2025-04-16
DOI
https://doi.org/10.61091/jcmcc127b-400
Primary Topic
Transportation and Mobility Innovations
Type
article
Field-Weighted Citation Impact
0.00

Funders

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article

Subsidy Strategies of Ride-Hailing Platforms Considering Taxi Street-Hailing during Order Overflow

Journal of Combinatorial Mathematics and Combinatorial Computing
Transportation and Mobility Innovations
article

Subsidy Strategies of Ride-Hailing Platforms Considering Taxi Street-Hailing during Order Overflow

article en

Abstract

The emergence of ride-hailing services has revolutionized the transportation industry for passengers, prompting taxi services to evolve from the conventional method of street-hailing to a combined "online-offline" operational approach.In this new model, taxis combine on-street pickups with platform-based orders.When market supply and demand are imbalanced, leading to excess orders, taxis prioritize street-hailing for faster customer acquisition.Meanwhile, ride-hailing platforms address surging passenger demand by offering subsidies to attract more vehicles to participate in online dispatching.This study focuses on the strategic choices of ride-hailing platforms and taxis during order overflow scenarios.An evolutionary game model is constructed to simulate taxi streethailing behavior under such conditions.Simulations are conducted to generate interpolation-based probability curves, including the probability of taxis accepting offline orders and the probability of regional orders being served.These findings offer recommendations for ride-hailing platforms on designing subsidy strategies in response to changes in regional order density.Additionally, the study examines how factors such as order distance, passenger-seeking costs, and platform commission rates influence taxis' order acceptance strategies.

Journal of Combinatorial Mathematics and Combinatorial ComputingVol. 127b
National Social Science Fund of China
Sustainable cities and communities
Openalex Percentile: Top 92%
Transportation and Mobility Innovations
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Subsidy Strategies of Ride-Hailing Platforms Considering Taxi Street-Hailing during Order Overflow · Journal of Combinatorial Mathematics and Combinatorial Computing (2025) | TGRS Research Map | TGRS