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引用本文:彭唬,陆化普.���ڿռ�����ij����ܶȶԽ�ͨ�����Ӱ�����[J].交通运输系统工程与信息,2007,7(4):90-95.
作者姓名:彭唬  陆化普
作者单位:?廪???????о???????????100084
摘    要:城市密度是衡量一个地区交通发生的重要因素之一,它不仅能够很好的反映交通需求的强度,而且提供了一条定量分析城市交通需求影响因素途径。本文以具有不同地貌形态特征的城市:大连和沈阳为例,采用GIS的空间分析技术,计算获得能够反映密度差异的城市密度,并且根据城市交通需求的特点,把城市密度分为单密度和符合密度两种,通过空间统计分析,分析各种城市密度对交通发生、出行距离、出行时间和出行方式的影响。研究表明:不同的城市密度有效作用于不同的交通需求特性;在一定的阈值范围,城市密度与交通需求之间的存在明显的单调关系。

关 键 词:??????  ?????  ???????  ???????  
文章编号:1009-6744(2007)04-0090-06
收稿时间:2006-11-19
修稿时间:2006-11-19

Using GIS Spatial Analysis to Survey the Relationship between Urban Density and Travel Demand——A Case Study of Dalian and Shenyang
PENG Hu,LU Hua-pu.Using GIS Spatial Analysis to Survey the Relationship between Urban Density and Travel Demand——A Case Study of Dalian and Shenyang[J].Transportation Systems Engineering and Information,2007,7(4):90-95.
Authors:PENG Hu  LU Hua-pu
Institution:Institute of Transportation Engineering, Tsinghua University, Beijing, 100084, China
Abstract:Urban density is one of the most important factors that weigh the travel demand.It not only portraits the extent of travel demand,but also provides us with an effective quantitative way to analyze the influencial factors of travel demand.Two cities have beeb selected as the study area: Dalian and Shenyang in this paper.GIS spatial analysis technique is introduced to overcome the average character of general density and the urban densities with spatial difference being obtained.According to the character of urban travel demand,urban densities have been divided into single density and composite density.Next spatial analysis method and spatial statistics method are used to study the relationship between urban densities and trip production,trip distance,trip time and trip mode.Some conclusions have been drawn after the analysis: different urban densities have certain effect on the different travel demand.In certain threshold scope,the urban density and travel demand have monotonous relationship.
Keywords:spatial analysis  single density  composite density  travel demand  GIS
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