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聚类技术优选法在铁路客运服务指标分析中的应用
引用本文:吴刚,晏启鹏,陈兰芳,王煜洲. 聚类技术优选法在铁路客运服务指标分析中的应用[J]. 铁道运输与经济, 2006, 28(4): 76-79
作者姓名:吴刚  晏启鹏  陈兰芳  王煜洲
作者单位:1. 西南交通大学,交通运输学院,四川,成都,610031
2. 西南交通大学峨眉校区,土木工程系,四川,峨眉,614202
摘    要:不同聚类技术具有不同的原理和特征,需要对其进行比较优选。提出在铁路客运服务指标分析中,采用聚类效果测度系数方法,并将结果与基于列联表的公共信息方法相互印证,评价并优选聚类技术。实证分析表明,该评价方法简单易行,评价结果符合实际情况。

关 键 词:铁路  聚类技术  优选方法
文章编号:1003-1421(2006)04-0076-03
收稿时间:2005-12-07
修稿时间:2005-12-07

Application of Clustering Optimum-seeking Method on Analysis of Service Index for Railway Passenger Transportation
Wu Gang,Yan Qi-peng,Chen Lan-fang,Wang Yu-zhou. Application of Clustering Optimum-seeking Method on Analysis of Service Index for Railway Passenger Transportation[J]. Rail Way Transport and Economy, 2006, 28(4): 76-79
Authors:Wu Gang  Yan Qi-peng  Chen Lan-fang  Wang Yu-zhou
Affiliation:1. School of Traffic and Transportation, South-west Jiaotong University, Chengdu, Sichuan 610031, China, 2. Civil Engineering Department, South-west Jiaotong University (Emei Section
Abstract:Different clustering technologies have diversified principles and characteristics, which need comparison optimum and optimization. The essay suggests that the method of estimating coefficient by clustering effect shall be applied in the analysis on service index of railway passenger traffic, then the results and the public information method based on contingency table shall be mutually confirmed to estimates and optimizes the clustering technology. Demonstration and analysis indicate that the evaluation method is simple and feasible, its results accords with actual conditions.
Keywords:Railway  Clastering Technology  Optimum-seeking Method  Passenger Service
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