城市中心区拥堵收费评价方法研究

交通运输系统工程与信息 ›› 2007, Vol. 7 ›› Issue (6): 74-79 .

城市中心区拥堵收费评价方法研究

吴子啸¹，丁明²

1. 中国城市规划设计研究院，北京100044；2. 厦门市城市规划设计研究院，厦门361004

收稿日期:2007-07-10 修回日期:1900-01-01 出版日期:2007-12-25 发布日期:2007-12-25

Study on Evaluation Method of Congestion Charge in Urban Center Areas

Wu Zixiao¹, Ding Ming²

1. China Academy of Urban Planning & Design; 2. Xiamen Academy of Urban Planning & Design

Received:2007-07-10 Revised:1900-01-01 Online:2007-12-25 Published:2007-12-25

摘要/Abstract

摘要： 拥堵收费被认为是解决城市中心区交通拥堵的有效途径之一。本文在综合分析国外城市经验和相关研究的基础上，提出定性和定量两种方法对城市中心区拥堵收费进行评价。定性分析中，分别从出行者、收费管理者以及全社会三个视角出发，提出中心区拥堵收费的定性评价体系。定量分析中，建立了非集计网络平衡模型，并利用EMME/2对远景厦门岛跨海大桥的收费方案进行评价，说明了模型的使用方法。采用定性分析与定量分析相结合的方法，将为进行城市中心区拥堵收费评价建立科学的基础。

关键词: 拥堵收费, 评价方法, 定量分析模型, 网络平衡

Abstract: Congestion charge has been used as one of the effective tools to reduce congestion in urban center areas. This paper explores qualitative and quantitative evaluation methods for congestion charge in urban center areas, based on comprehensive analysis of the experiences in foreign cities and related studies. This paper presents the qualitative evaluation system from, respectively, users’, managers’ and society’s points of view, and develops a disaggregate network equilibrium model for congestion charge. The model, implemented in EMME/2, has been used to evaluate tolling schemes on bridges connecting Xiamen Island to the inland area and its validity has been verified. Combination of qualitative and quantitative methods can provide scientific basis for the evaluation of congestion charge in urban center areas.

Key words: congestion charge, evaluation methods, quantitative analysis model, network equilibrium

中图分类号:

U491

吴子啸,丁明. 城市中心区拥堵收费评价方法研究[J]. 交通运输系统工程与信息, 2007, 7(6): 74-79 .

Wu Zixiao, Ding Ming. Study on Evaluation Method of Congestion Charge in Urban Center Areas[J]. Journal of Transportation Systems Engineering and Information Technology, 2007, 7(6): 74-79 .

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链接本文: http://www.tseit.org.cn/CN/abstract/abstract17601.shtml

http://www.tseit.org.cn/CN/Y2007/V7/I6/74

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