交通运输系统工程与信息 ›› 2014, Vol. 14 ›› Issue (4): 79-84.

• 智能交通系统与信息技术 • 上一篇    下一篇

多公交信息下居民出行前方式选择意向分析

侯现耀1,2,陈学武* 1,2,王卫杰3   

  1. 1.东南大学城市智能交通江苏省重点实验室,南京210096;2. 现代城市交通技术江苏高校协同创新中心,南京210096; 3.南京工业大学交通学院,南京210009
  • 收稿日期:2013-10-10 修回日期:2013-11-17 出版日期:2014-08-25 发布日期:2014-09-16
  • 作者简介:侯现耀(1985-),男,山东郓城人,博士生.
  • 基金资助:

    国家自然科学基金(51178109);国家重点基础研究发展计划项目(2012CB725402).

Preferences of Pre-trip Mode Choice Based on Multiple Public Transit Information

HOU Xian-yao1, 2, CHEN Xue-wu1, 2,WANGWei-jie3   

  1. 1. Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 210096, China; 2. Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Nanjing 210096, China; 3. College of Transportation Science and Engineering, Nanjing University of Technology, Nanjing 210009, China
  • Received:2013-10-10 Revised:2013-11-17 Online:2014-08-25 Published:2014-09-16

摘要:

为了研究公交信息对出行前交通方式选择的影响,选取了公交出行距离信息、 公交车辆位置信息、道路拥堵情况信息和公交换乘信息等四种公共交通信息,通过均匀 设计方法,设计四种公共交通信息组合条件下的居民出行交通方式选择意向调查,并通 过在湖北襄阳获得的数据,建立了多项Logit 模型,定量分析了显著影响因素.研究结果表 明,公交信息对出行前方式选择行为的影响比较显著,且不同的公交信息对出行方式选 择的影响存在差异,但总体上会增加人们选择公交出行的意愿;对于已购车的出行者,公 交信息的影响十分有限,而个人对于公共交通的偏好也会影响其出行方式选择的意向.研 究建议,提供更准确和丰富的公交信息服务以增加城市公共交通的吸引力.

关键词: 交通工程, 出行方式选择, MNL 模型, 公交信息, 意向调查, 均匀设计

Abstract:

To investigate the effects of public transit information on people’s pre- trip mode choice, using uniform design method, a stated preference survey is designed with four kinds of public transit information, including transit travel distance, transit vehicle location, road and traffic condition, and transit transfer information. Survey is conducted in Xiangyang, Hubei Province, China. Data are collected and parameters with multinomial Logit model are estimated. The results show that public transit information affects respondents’ pre-trip mode choice significantly and strengthens public transit attraction, although effects of different information exists differences. However, there is little effect of public transit information on people who have already own their personal vehicles. Personal preferences of using public transit are also important in mode choices, and better transit information services may attract more people to use public transit.

Key words: traffic engineering, travel mode choice, multinomial Logit model, public transit information, SP survey, uniform design

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