小汽车限行对居民出行特征的影响分析

交通运输系统工程与信息 ›› 2008, Vol. 8 ›› Issue (6): 73-77 .

小汽车限行对居民出行特征的影响分析

李春艳^* ;陈金川;郭继孚;王书灵

北京交通发展研究中心北京 100055

收稿日期:2008-09-11 修回日期:2008-11-04 出版日期:2008-12-25 发布日期:2008-12-25
通讯作者: 李春艳
作者简介:李春艳（1980-），山东人，工程师
基金资助:
国家973基础研究计划项目（2006CB705507）。

Analysis on Impacts of Car-using Restriction on Trip Behaviors

LI Chun-yan; CHEN Jin-chuan; GUO Ji-fu; WANG Shu-ling

Beijing Transportation Research Center, Beijing 100055, China

Received:2008-09-11 Revised:2008-11-04 Online:2008-12-25 Published:2008-12-25
Contact: LI Chun-yan

摘要/Abstract

摘要： 奥运期间小汽车限行政策的实施，有效缓解了北京道路交通拥堵。本文通过措施实施前后收集的居民入户调查数据，定量分析了限行措施对居民出行特征的影响，研究发现：限行政策实施后，居民总体出行率由1.88次/日降低到1.70次/日，上下学、接送人和工作外出等出行比例明显降低；私人机动车出行强度降低0.07次/（天•辆），乘载率提高0.10人/车；公务车出行强度增加0.70次/（天•辆），乘载率提高0.32人/车；地铁、公交和小汽车出行时耗分别缩短了12 min，8 min和8 min。

关键词: 出行特征, 奥运交通, 入户调查, 交通需求管理

Abstract: During the Olympic Games, Beijing proposed and implemented a series of traffic demand management (TDM) measures and had effectively relieved the road traffic congestions. According to the household survey data, this paper analyzes the TDM measures’ impact on travel characteristics of Beijing residents quantitatively. We found that students’ trip rate has decreased while the full-time driver, army man, police and the retiree’s have increased. The residents’ average trip rate fell from 1.88 times per day to 1.65 times per day, and the trip volumes of schooling, dropping and outgoing for working are also decreased. The trip rate of private vehicles reduced 0.04 times per day with the carrying rate increased 0.10 person per veh, while the public vehicle’s trip rate increased 0.70 times per day and the carrying rate increased 0.32 person per veh. The travel time of subways, buses and cars have shorten for 9.55 min，5.23 min and 2.14 min respectively.

Key words: travel characteristics, Olympic traffic, household survey, traffic demand management (TDM)

中图分类号:

U491

李春艳,陈金川,郭继孚,王书灵. 小汽车限行对居民出行特征的影响分析[J]. 交通运输系统工程与信息, 2008, 8(6): 73-77 .

LI Chun-yan, CHEN Jin-chuan, GUO Ji-fu, WANG Shu-ling. Analysis on Impacts of Car-using Restriction on Trip Behaviors[J]. Journal of Transportation Systems Engineering and Information Technology, 2008, 8(6): 73-77 .

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链接本文: http://www.tseit.org.cn/CN/abstract/abstract17734.shtml

http://www.tseit.org.cn/CN/Y2008/V8/I6/73

参考文献

[1] GAO Li-ping, LIU Ming-jun, SUN Zhuang-zhi, MAO Bao-hua. Simulation on impact of information guidance on regional traffic flow[J]. Journal of Transportation Systems Engineering and Information Technology, 2008, 8(4): 63-69.

[2] 北京交通发展研究中心. 奥运期间北京市城市交通运行状态仿真系统[R]. 2008. [Beijing Transportation Research Center. Research on Urban Traffic Operation Simulation System During the Olympic Games [R]. March, 2008.]

[3] 郭继孚. 对《北京奥运交通规划》的几点认识[J]. 交通运输系统工程与信息, 2003, 3(2): 8-10. [GUO Ji-fu. Remarks on traffic scheme during beijing olympic games [J]. Journal of Transportation Systems Engineering and Information Technology, 2003, 3(2): 8-10.]

[4] GUO Ji-fu, CHEN Jin-chuan, SUN Jian-ping, WANG Shu-ling, QUAN Yong-shen. An analysis of impact of TDM measures on traffic operations in Beijing[C]// MAO Bao-hua et al (Eds.), Proceedings of the Sixth International Conference on Traffic and Transportation Studies, ASCE, USA, 2008: 7-25.

[5] 北京奥运会残奥会运行指挥部交通与环境保障组交通运行中心, 北京市交通委员会. 2008年北京奥运会残奥会期间北京市交通保障方案及其实施配套措施汇编[R]. 2008. [Transport Operation Center of Beijing Olympic and Paralympic Games, Beijing Municipal Committee of Communications. A General Compilation of Traffic Assurance Plan during 2008 Beijing Olympic and Paralympics Games and Support Measures [R]. 2008.]

[6] LIU Ming-jun, MAO Bao-hua, GAO Feng, GUO Jin-yi, GAO Li-ping. Analysis on commuter’s activity chain choice behavior[C]// MAO Bao-hua et al (Eds.), Proceedings of the Sixth International Conference on Traffic and Transportation Studies, ASCE, USA, 2008: 222-230.

[7] 高峰. 私人小汽车出行属性分析方法研究[D]. 北京交通大学硕士学位论文, 2007. [GAO Feng. On methodology of attribute analysis for private car users [D]. Master thesis of Beijing Jiaotong University, 2007.

[8] Roorda Matthew J., RuizTomás. Long- and short-term dynamics in activity scheduling: A structural equations approach [J]. Transportation Research Part A, 2008, 42(3): 545-562.

[9] Gärling Tommy, Eek Daniel, Loukopoulos Peter, Fujii Satoshi, Johansson-Stenman Olof, Kitamura Ryuichi, Pendyala Ram, Vilhelmson Bertil. A conceptual analysis of the impact of travel demand management on private car use [J]. Transport Policy, 2002, 9(1): 59-70

[10] Loukopoulos Peter, Gärling Tommy, Vilhelmson Bertil. Mapping the potential consequences of car-use reduction in urban areas [J]. Journal of Transport Geography, 2005, 13: 135-150.

[11] 毛保华, 全永燊等. 北京市居民个体出行行为研究报告[R]. 北京交通大学, 北京交通发展研究中心, 2007. [MAO Bao-hua, QUAN Yong-shen et al. Trip Behavior Study of Beijing OD Survey [R]. Beijing Jiaotong University, Beijing Transportation Research Center, 2007.]

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