交通运输系统工程与信息 ›› 2014, Vol. 14 ›› Issue (4): 113-119.

• 系统工程理论与方法 • 上一篇    下一篇

基于服务分区的常规公交枢纽布局优化模型

俞洁*1,潘述亮1,刘玥2   

  1. 1. 山东大学控制科学与工程学院, 济南250061; 2. 威斯康辛大学密尔沃基分校土木工程系,美国威斯康辛州WI 53201
  • 收稿日期:2013-12-10 修回日期:2014-05-05 出版日期:2014-08-25 发布日期:2014-09-16
  • 作者简介:俞洁(1979-),女,安徽芜湖人,副教授,博士,硕士生导师.
  • 基金资助:

    国家自然科学基金青年基金项目(51108248);山东省自然科学基金项目(ZR2011GQ002);山东大学自主创新基金项 目(2011TB019).

Locating Urban Transit Transfer Centers: A Service Zoning Based Approach

YU Jie1, PAN Shu-liang1, LIU Yue2   

  1. 1. School of Control Science and Engineering, Shandong University, Jinan 250061, China; 2. Department of Civil Engineering and Mechanics, University ofWisconsin-Milwaukee, Milwaukee 53201, USA
  • Received:2013-12-10 Revised:2014-05-05 Online:2014-08-25 Published:2014-09-16

摘要:

为提升公交系统运输效能与服务质量,并针对以往仅从网络流量或土地利用单 一角度求解枢纽最优布局问题的局限性,从解析枢纽“服务分区”特性入手,建立“枢纽服 务分区、线路干支分离”的城市常规公交枢纽布局优化模型;进而基于网络解构思想简化 模型复杂度、探索最优求解算法并加以实现;最后结合苏州工业园区实际案例验证模型 与算法普适性,并对模型的关键参数进行灵敏度分析.结果表明:通过引入“服务子区”概 念可以从系统最优角度实现交通需求与土地利用互动的数学表述,因而可更科学客观地 反映城市公共交通网络服务的实际特性与公交枢纽规划实践.

关键词: 交通工程, 布局优化, 整数规划, 常规公交枢纽, 服务分区

Abstract:

In response to the need of promoting transport efficiency and service quality for urban transit systems, this paper proposes an optimal location model for urban transit transfer centers by integrating the concepts of“service zoning and route classifying”. It explicitly takes into account that the serving capacity of transit transfer centers will be affected by travel demand distribution, land use, and transit network topology. An efficient reformulation was developed to solve the proposed model and yield the global optimal solution for large-scale real-world applications. The model was successfully applied to optimize the transit transfer center locations in Suzhou Industrial Park, China, with the results of significantly improving the system performance and effectively capturing the interaction between travel demand and land use.

Key words: traffic engineering, optimal location, integer programming, urban transit hubs, service zoning

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