交通运输系统工程与信息

交通运输系统工程与信息 ›› 2010, Vol. 10 ›› Issue (6): 156-162 .

• 系统工程理论与方法 • 上一篇    下一篇

基于RP／SP联合数据的市郊铁路出行行为分析模型

赵丹1;邵春福*1;孙壮志2;刘剑锋2   

  1. 1.北京交通大学 城市交通复杂系统理论与技术教育部重点实验室，北京 100044；2.北京市交通发展研究中心，北京 100844
  • 收稿日期:2009-12-08 修回日期:2010-03-21 出版日期:2010-12-25 发布日期:2010-12-25
  • 通讯作者: 邵春福
  • 作者简介:赵丹（1983-），女，吉林四平人，博士生.
  • 基金资助:

    国家重点基础研究发展计划（973计划)(2006CB705505）；国家自然科学基金（50778015）；国家科技支撑项目（2006BCG01A01）.

Travel Behavior Analysis Model of Suburban Railway Based on Combination of RP and SP Data

ZHAO Dan1;SHAO Chun-fu1; SUN Zhuang-zhi2; LIU Jian-feng2   

  1. 1.MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, China; 2.Beijing Transport Research Center, Beijing 100844, China
  • Received:2009-12-08 Revised:2010-03-21 Online:2010-12-25 Published:2010-12-25
  • Contact: SHAO Chun-fu

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摘要： 城市范围的扩大以及铁路运输业的改革促使市郊铁路逐渐向城市公共交通系统融合. 将市郊铁路引入城市公交体系的目的，是使其成为中心城与卫星城之间长距离运输的主要通勤方式，确保城市空间发展战略的实施，避免城市“摊大饼”式扩张. 本文以北京市郊铁路沿线居民出行SP和RP调查数据为依托，通过出行行为分析，建立三种模型：基于RP数据的模型，基于SP数据的模型及RP／SP联合数据模型；对比三者计算和检验结果，可知RP／SP联合数据模型利用了RP数据的可靠性，修正了SP数据的偏差，更加可靠有效；结果也证明降低票价的政策可显著提高市郊铁路分担率.

关键词: 城市交通, 市郊铁路, 出行行为, 方式选择, RP／SP联合数据模型

Abstract: Under the impetus of the expansion of city size as well as the reform of railway transportation, suburban railway system has gradually merged into urban public transport system aiming at being the main means of long-distance transportation between center city and satellite town for commuters, which will be of great benefit to ensure the implement of city spatial development strategy and avoid the “over pie” pattern. According to the RP and SP data obtained from the residents trip survey along the suburban railway, travel behavior analysis is conducted, and three models which are respectively based on RP data, SP data and RP-SP combined data are built; by the contrast of three models’ calculation results, it can be seen that RP/SP combined model not only takes advantage of the reliability of RP data but also corrects the bias of SP data, so it performs much more accurately and effectively. The paper also comes to another conclusion that fare reduction will lead to higher contribution rate of suburban railway.

Key words: urban traffic, suburban railway, travel behavior, mode choice, RP／SP combined model

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