运筹与管理 ›› 2017, Vol. 26 ›› Issue (10): 42-48.DOI: 10.12005/orms.2017.0232

• 理论分析与方法探讨 • 上一篇    下一篇

基于线路“异质性”假设的轴辐式公共交通网络优化研究

魏素豪1, 宗刚2   

  1. 1.中国人民大学 农业与农村发展学院,北京 100872;
    2.北京工业大学 经济与管理学院,北京 100124;
  • 收稿日期:2016-08-14 出版日期:2017-10-25
  • 作者简介:魏素豪(1992-)男,河南通许人,博士研究生,研究方向:农业经济、交通运输经济;宗刚(1957-)男,江苏常熟人,博士,教授,博士生导师,研究方向交通运输经济、产业经济等。
  • 基金资助:
    国家社会科学基金项目“轴辐式网络设计下特大城市交通拥堵治理机制研究”(15BJY048)

Research on the Optimization of Hub and Spoke Public Transportation Network Based on the Line “Heterogeneity” Hypothesis

WEI Su-hao1, ZONG Gang2   

  1. School of Agriculture Economics and Rural Development, Renmin University of China, Beijing 100872, China;
    School of Economics and Management, Beijing University of Technology, Beijing 100124, China;
  • Received:2016-08-14 Online:2017-10-25

摘要: 特大城市公共交通局部静态拥堵问题日益成为制约公共交通网络运行效率提高的关键。针对这一问题改变线路“同质性”假设,在线路“异质性”假设的基础上,提出了将轴辐式网络设计运用到公共交通领域中来,综合考虑居民采用公共交通方式出行的单位运输可变成本、不变成本、枢纽换乘成本等要素,将枢纽间大型客车干线运输所带来的规模经济效应进行量化,构建了基于单分配、多枢纽、混合式网络结构特征的轴辐式公共交通网络优化模型,旨在多重约束下通过枢纽布局降低网络运输成本,提高公共交通网络站点的可达性。最后根据模拟退火算法对模型进行求解,并通过算例分析与讨论的方式验证了模型的有效性。

关键词: 公共交通, 轴辐式网络, 异质性, 优化模型, 模拟退火算法

Abstract: The problem of local static congestion in public transport is becoming the key factor to improve the efficiency of public transport network. To solve this problem, we change the line “homogeneity” hypothesis, and put forward the hub and spoke network design applied in the field of public traffic. Then based on considering the variable transportation cost per unit,constant cost, hub transfer cost etcetera, we quantify the economies of scale brought about by the trunk bus transportation between hubs. In order to improve the accessibility of public transport network sites,and reduce the transportation cost through the hub layout under multiple constraints,we build a model of hub and spoke public transport network optimization which conform to single distribution, multi hub and hybrid hub and spoke network structure features. Finally, based on the Simulated Annealing,the validity of the model is verified by the example analysis and discussion.

Key words: public transportation, hub and spoke network, heterogeneity, optimization model, simulated annealing

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