Basic Rate of Taxi Based on Bi-level Programming Model
HU Yucong1, LUO Jialing1, PAN Lei2
(1. School of Civil and Transportation Engineering, South China University of Technology, Guangzhou 510641,
Guangdong, China; 2. Guangzhou Transport Research Institute, Guangzhou 510627, Guangdong, China)
Abstract：Taxi is one of the most active modes of urban passenger transportation. The establishment of taxi rates suitable for urban economic development can directly affect the travel cost of residents, thus affecting the choice behavior of travelers, and achieving the purpose of balancing the transportation mode and travel time and space. As the basis for the formulation of taxi fare, the basic rate is of great practical significance to determine a reasonable taxi basic rate model. Based on the research of multi-modal urban traffic road network, a bi-level programming model was established to study the basic rate of urban passenger taxis. The goal of the upper layer was to minimize the total cost of the transportation system, and the lower layer is the balance model of multi-mode transportation network. The mixed algorithm of genetic algorithm and MSA iterative weighting method was used to solve the proposed model. In order to verify the applicability of the proposed model, a simple road network was constructed for case study. The results show that: based on the minimum total cost of system, the proposed model can obtain a reasonable taxi basic rate and the sharing rate of each transportation mode in the system is relatively reasonable. In the process of government guiding taxi pricing, the optimal taxi-pricing scheme can be designed to reduce the total social cost, according to the relationship between the taxi basic rate and the freight rate system.
胡郁葱1，罗嘉陵1，潘雷2. 基于双层规划模型的出租车基础费率研究[J]. 重庆交通大学学报（自然科学版）, 2020, 39(06): 13-18.
HU Yucong1, LUO Jialing1, PAN Lei2. Basic Rate of Taxi Based on Bi-level Programming Model. Journal of Chongqing Jiaotong University(Natural Science), 2020, 39(06): 13-18.
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2020, Vol. 39 
