交通运输系统工程与信息 ›› 2014, Vol. 14 ›› Issue (2): 144-149.

• 系统工程理论与方法 • 上一篇    下一篇

通勤者出行链类型与出行方式选择的相互影响

王孝坤*1,饶秋丽2,唐春艳3,葛颖恩3   

  1. 1.大连交通大学经济管理学院,辽宁大连116028; 2.江苏省交通科学研究院股份有限公司,南京210017; 3.大连理工大学交通运输学院,辽宁大连116024
  • 收稿日期:2013-08-27 修回日期:2014-01-02 出版日期:2014-04-25 发布日期:2014-07-07
  • 作者简介:王孝坤(1975-),男,辽宁瓦房店人,讲师,博士.
  • 基金资助:

    大连市科学技术基金(2012J21DW001);国家自然科学基金(71171026)

Commuters’Trip-chain and Mode Choice Relationship

WANG Xiao-kun 1 , RAO Qiu-li 2 , TANG Chun-yan 3 , GE Ying-en 3   

  1. 1.School of Economics and Management, Dalian Jiaotong University, Dalian116028, China; 2. Jiangsu Transportation Institute Co., Ltd. , Nanjing,210017, China; 3. School of Transportation and Logistics, Dalian University of Technology, Dalian116024, China
  • Received:2013-08-27 Revised:2014-01-02 Online:2014-04-25 Published:2014-07-07

摘要:

采取分层抽样的方法,对大连市商务中心区通勤者出行选择行为进行问卷调 查. 经过对采集数据进行交叉分析,建立联立多元Logit模型. 调查通勤者出行链类型选 择和出行方式选择之间是否存在相互影响关系,同时对不同月收入下通勤者的出行方式 与出行链类型选择行为进行分析.研究结果表明,大连市商务中心区通勤者出行链类型选 择和出行方式之间存在着显著的相互影响关系,且通勤者的个人属性、家庭属性等对其 出行方式选择及出行链类型选择行为具有显著的影响.虽然本研究工作是基于大连中心 商务区的调查数据,但这些数据展示的通勤者的出行规律对其它城市制定交通政策和实 施交通管理同样具有现实指导意义.

关键词: 交通工程, 出行链类型, 联立多元Logit模型, 出行方式, 出行选择行为

Abstract:

A stratified sampling survey is conducted to collect data in Central Business District of Dalian city to analyze the relationships between commuter’s trip- chain types and trip mode choices. With a cross analysis of this set of data, a simultaneous Logit model is used to examine the relationships. In investigating the relationships between trip- chain types and trip mode choices, the impact from monthly- income is also considered in this study. The results indicate that the relationships among collected data set are statistically significant. One crucial finding is that commuters’personal attributes and family attributes have prominent effects on trip mode choice, trip-chain type and their relationships. Due to the limitation of public transportation service level, the commuters who drive cars usually generate complex trip chains, especially those with high-incomes.

Key words: transportation engineering, trip- chain type, simultaneous Logit model, trip mode, travel choice behavior

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