交通运输系统工程与信息 ›› 2007, Vol. 7 ›› Issue (4): 131-136 .

• 系统工程理论与方法 • 上一篇    下一篇

基于个体出行方式选择的自行车交通影响因素研究

杨晨,陆建,王炜,万千   

  1. 交通运输规划与管理江苏省重点实验室, 东南大学, 江苏南京, 210096
  • 收稿日期:2007-02-25 修回日期:1900-01-01 出版日期:2007-08-25 发布日期:2007-08-25

A Study on the Influencing Factors of Bicycle Transportation Based on Individual Mode Choice

Yang Chen, Lu Jian, Wang Wei, Wan Qian   

  1. Key Laboratory of Transportation Planning and Management of Jiangsu Province, Southeast University, Nanjing, Jiangsu Province, People’s Republic of China, 210096
  • Received:2007-02-25 Revised:1900-01-01 Online:2007-08-25 Published:2007-08-25

摘要: 自行车交通是当今我国城市客运交通的重要组成部分。居民是否选择自行车直接受到各种因素影响。本文分析了影响自行车交通方式选择的微观影响因素,并定义其为“基于个体出行方式选择的自行车交通影响因素”。本文将其分为个体特征、出行信息和交通方式服务水平主观感知等三类影响因素。文章期望找出基于出行个体的自行车交通影响因素,研究各影响因素的相关性和内部联系,并分析这些因素对出行选择的影响权重和作用机理。因此建立了包含因子分析的二项logit模型,并以南京市的调查数据为例阐述了模型的应用。本文的结论为交通政策制定者和交通规划师建立可持续交通系统以及发展和谐交通提供了一些有价值的信息。

关键词: 个体, 方式选择, 自行车, 影响因素, 因子分析, 二项logit模型

Abstract: Bicycle transportation occupies a significant part in urban passenger traffic in China. Whether the residents will choose bicycles is directly effected by various kinds of factors. This article has analyzed the microcosmic factors that influence the choice of bicycle transportation,which are defined as “the influencing factors of bicycle transportation based on individual mode choice”, by classifying them into three categories-the individual characteristics, the trip information and the subjective perception on the traffic modal level of service. The article has expected to search out these factors initially, made a study on the relativity and the internal relationship among the factors, and then analyzed the weights of the factors and the operation principle of the mode choice. For this purpose, the article has established a Binary logit model which containes “factor analysis”, and expatiated on the application of the model by using the instance of Nanjing city. The results can provide useful information for policy-makers and transportation planners to establish sustainable transportation system and develop harmonious transportation.

Key words: individual, mode choice, bicycle, influencing factor, factor analysis, binary logit model

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