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城市路网的宏观容量模型研究及其应用
引用本文:李硕.城市路网的宏观容量模型研究及其应用[J].上海理工大学学报(社会科学版),1999(3):295-303.
作者姓名:李硕
作者单位:湖南大学土木工程系!湖南长沙,410082
摘    要:近些年来,如何定量城市路网的宏观容量成为一种研究城市总体路网容量的新方法,法国学者马森(1989)给出了交通个体占用的城市路网的时空应用重要性。这个理论只是表明了以交通个体的路网空间的时间占用或是路网时间的空间占用为定量形式的多种交通模蝗内部效用,同时也调查了城市道路交通基础设施的内部潜力,例如停车场,机动车道,自行车道及人行道等等。另一方面,该理论能进一步证明并且计算路网时空使用的经济效用及其经

关 键 词:容量  时空资源  城市路网  宏观容量模型

A STUDY ON THE MACRO CAPACITY MODEL OF URBAN ROAD NETWORK AND ITS APPLICATION
Li Shuo.A STUDY ON THE MACRO CAPACITY MODEL OF URBAN ROAD NETWORK AND ITS APPLICATION[J].Journal of University of Shanghai For Science and Technilogy(Social Science),1999(3):295-303.
Authors:Li Shuo
Abstract:How to quantify the macro capacity of an urban road network is a new approach to studying urban total road network capacity in the recent years. A French scholar Mason (1989) has provided the magnitudes of time and space usage of city road network occupied by traffic bodies. This theory simply shows the inner effectiveness of various traffic models in terms of traffic bodies occupation of time of road network space or of space of road network time in the form of quantity, as well as investigates in convenience the intrinsic potentials of ur-ban road traffic infrastructures (inclusive of static and dynamic ones), for example parkingmotoarway. bikewary, pedestrian and etc. On the other side, it can further prove and compute the urgent economic costs of time and space usage of road net, and its economic revenues produced by that usage. This paper amends the concept of time and space usage of road net on the basis of Mason's, especially taking the density of urban road network into the consideration, and it mostly represents the reality. Although the model is a little bit compli-cated, it can be more effective if the methods pevided by ths paper are used. This can be verified by the case study of Zhuzhou City, Hunan province. Ths paper uses Zhuzhou data giv-en in 1990 as a pilot study city. All the pocess and results have shown that the ways given in the paper are useful, rational and efficient.
Keywords:capacity  time and space usage  urban network  
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