文章基本信息

标题：Research on the Bi-level Programming Model for Ticket Fare Pricing of Urban Rail Transit based on Particle Swarm Optimization Algorithm
本地全文：下载
作者：Zhao Xueyu ; Zhao Xueyu ; Yang Jiaqi 等
期刊名称：Procedia - Social and Behavioral Sciences
印刷版ISSN：1877-0428
出版年度：2013
卷号：96
页码：633-642
DOI：10.1016/j.sbspro.2013.08.074
语种：English
出版社：Elsevier
摘要：AbstractAs a public service facility, the social and economic benefits of urban rail transit ticket fare are both important, so reasonable ticket fare is a key for the solid development of urban rail transit. The social and economic benefits should be taken into account under the competitive condition led by various modes of transportation in order to get an optimal strategy in ticket fare pricing of urban rail transit on the premise of meeting the service quality standard. Here, the factors considered in the ticket fares fare pricing of urban rail transit in the domestic and foreign cities are summarized, after which the Logit model of the mode split within the public transit system is established. With considering both the respective benefits of the urban rail transit company and the travellers, a bi-level programming model is established together with the solution idea to the model with the particle swarm optimization algorithm. The example demonstrates the feasibility and effectiveness of the bi-level programming model and the related measures and the particle swarm ooptimization aalgorithm is fittable for the urban rail transit fare pricing. The suggestions proposed from the result of the example are helpful for the decision making of ticket fare pricing of urban rail transit.
关键词：Ticket fare pricing;Urban rail transit;Logit model;Bi-level programming model;Particle swarm optimization algorithm