交通运输系统工程与信息 ›› 2010, Vol. 10 ›› Issue (3): 93-98 .

• 系统工程理论与方法 • 上一篇    下一篇

城市典型客运方式选择影响因素分析

王姝春*1;马斐2;陈峻1   

  1. 1.东南大学 交通学院,南京 210008; 2.江苏省南京市航道管理处,南京 210036
  • 收稿日期:2009-08-21 修回日期:2010-02-17 出版日期:2010-06-25 发布日期:2010-06-25
  • 通讯作者: 王姝春
  • 作者简介:王姝春(1985-),女,江苏省通州市人,博士生
  • 基金资助:

    国家高技术研究发展计划(863计划)(2008AA11Z201)

Influencing Factor Analysis on Typical Urban Passenger Transport Mode Choice

WANG Shu-chun1; MA Fei2;CHEN Jun1   

  1. 1.Transportation College, Southeast University, Nanjing 210008, China; 2.Nanjing Municipality Channel Administration, Nanjing 210036, China
  • Received:2009-08-21 Revised:2010-02-17 Online:2010-06-25 Published:2010-06-25
  • Contact: WANG Shu-chun

摘要: 在我国,交通工具种类众多,影响城市客运方式选择的因素纷繁复杂. 为了简化分析过程,筛选客运方式选择主要的影响因素是研究交通方式选择的基础. 对苏州等4个代表性城市居民出行调查数据进行因子分析. 采用SPSS中因子分析的主成份分析法,筛选出影响城市5种典型客运方式选择的主要个体属性影响因素,结合社会环境影响因素,得出影响每种客运方式选择的因素. 在分析过程中,也识别了因素间的主次、关联关系,为进一步量化与分析决策提供依据. 选取的数据直观简洁,能实际有效地反映居民对客运方式的选择,为城市交通管理部门制定合理的交通组织方案奠定基础.

关键词: 城市交通, 方式选择, 参数分析, 因子分析

Abstract: There are various transport modes in China, and the factors influencing transport mode chioce are also very complicated. It is a basic work to select the major influencing factors and to simplify the mode choice analysis. The factor analysis is conducted based on resident travel survey data of four cities including Suzhou city. The influencing factors of personal attribute are selected for five typical transport modes by the SPSS. The influencing factors of each passenger transport mode are analyzed considering social environment and individual property. In the process, the primary-secondary and association relationship of inter-factors is distinguished, which provide a basis for further quantify and decision-making analysis. The visual and succinct selected factors, can rationally and effectively reflect the public choice for the passenger traffic mode, which is also the foundation of developing a reasonable traffic organize program for urban traffic management departments.

Key words: urban traffic, traffic mode choice, influence factor analysis, factor analysis

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