Decision Model of Taxi Drivers at High-Speed Railway Stations Based on Profit Priority

Bin Lv, Xiangshuo Meng and Qixiang Chen

Transportation Planning and Technology, 2025, vol. 48, issue 1, 90-110

Abstract: After dropping off passengers at the high-speed railway (HSR) station, taxi drivers face a crucial decision: whether to stay at the station or return empty. To solve the decision problem, this paper establishes a weighting model utilizing the Analytic Hierarchy Process (AHP) combined with the entropy weight method. This model determines the significance of various factors influencing drivers’ decisions. Subsequently, a decision model for taxi drivers at the HSR station is established by comparing the profitability of staying at the station versus leaving. Furthermore, the sensitivity analysis method is employed to quantitatively assess the model's dependency on influencing factors to confirm the model's effectiveness. Utilizing GPS trajectory data from Lanzhou taxis, this paper validates the decision-making model. The findings suggest that in the afternoon and evening, drivers are more likely to wait in the parking lot for passengers, whereas in the morning, they are more inclined to return empty.

Date: 2025
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DOI: 10.1080/03081060.2024.2360138

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