交通信息与安全2013，Vol.31Issue(3)：74-78,5.DOI:10.3963/j.issn1674-4861.2013.03.016
基于主成分法优化的轨道交通通勤出行方式选择研究
Rail Transit Commuter Travel Mode Selection Based on Principal Component Analysis Method
摘要
Abstract
Rail transit can promote economic and social development,improve investment environment,enhance public life quality and relieve traffic congestion.However,it also requires huge costs on construction,operation and maintenance.So far only in Hong Kong,Osaka and a few other regions,can operating costs be recovered.Accordingly,it is necessary to analyze the commuting of the residents living along rails to know their traveling mechanism.Based on Disaggregate Modeling Process and the survey data,the paper establishes a multinomíal Logit model and inspects and explains the relevant parameters.In order to reduce the interaction caused by the impact of the variables' correlation,the paper uses Principal Component Analysis Method to choose them.With parametric testing,the model's hit rate has been increased.关键词
交通方式划分/轨道交通/非集计模型/主成分分析/灵敏度分析Key words
traffic modal split / rail transit / disaggregated model/ Principal Component Analysis / sensitivity analysis分类
交通工程引用本文复制引用
康文峰,孙宝..基于主成分法优化的轨道交通通勤出行方式选择研究[J].交通信息与安全,2013,31(3):74-78,5.
