中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

重庆交通大学学报(自然科学版) ›› 2020, Vol. 39 ›› Issue (06): 13-18.DOI: 10.3969/j.issn.1674-0696.2020.06.03

• 交通+大数据人工智能 • 上一篇    下一篇

基于双层规划模型的出租车基础费率研究

胡郁葱1,罗嘉陵1,潘雷2   

  1. (1. 华南理工大学 土木与交通学院, 广东 广州 510641;2. 广州市交通运输研究所,广东 广州 510627)
  • 收稿日期:2018-09-17 修回日期:2018-12-11 出版日期:2020-06-26 发布日期:2020-06-29
  • 作者简介:胡郁葱(1970—),女,湖北武汉人,副教授,博士,主要从事交通运输规划与管理方面的研究。E-mail:4460902@qq.com。
  • 基金资助:
    国家自然科学基金项目(61473122)

Basic Rate of Taxi Based on Bi-level Programming Model

HU Yucong1, LUO Jialing1, PAN Lei2   

  1. (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)
  • Received:2018-09-17 Revised:2018-12-11 Online:2020-06-26 Published:2020-06-29

摘要: 出租车是城市客运交通中最为活跃的方式之一,制定与城市经济发展相适应的出租车运价,可直接作用于居民的交通出行成本,从而影响出行者的选择行为,达到平衡交通方式和出行时空的目的。基础费率作为出租车运价制定的基础和依据,确定一种合理的出租车基础费率模型具有重要的实际意义。以多方式城市交通路网为研究基础,建立双层规划模型来研究城市客运出租车基础费率问题,上层目标为交通系统的总成本最小,下层为多方式交通网络平衡模型。采用遗传算法与MSA迭代加权法的混合算法对模型进行求解。为验证模型的适用性,构建了简单路网进行算例分析。结果表明:基于系统总成本最小,该模型可求得较为合理的出租车最优基础费率,且系统内各交通方式的分担率也较为合理。在政府指导出租车定价的过程中,可根据出租车基础费率与运价体系的关系,设计最优的出租车定价方案,从而达到降低社会总成本的目的。

关键词: 交通运输工程, 城市交通, 出租车, 基础费率, 双层规划模型

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.

Key words: traffic and transportation engineering, urban traffic, taxi, basic rate, bi-level programming model

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