沈阳市中心城区交通网络中心性及其与第三产业经济密度空间分布的关系  

Distribution of centrality of traffic network and its relationship with economic density of tertiary industry in Shenyang

作　　者：陈晨[1] 程林[1] 修春亮[1] 

机构地区：[1]东北师范大学地理科学学院,长春130024

出　　处：《地理科学进展》2013年第11期1612-1621,共10页Progress in Geography

基　　金：国家自然科学基金项目(41071109)

摘　　要：多中心性评价模型(Multiple Centrality Analysis,即MCA)可用于分析交通网络中心性及其与城市经济活动的关系,其所包含的邻近度、介数中心性及直达性是测度城市土地开发利用率的重要指标。本文首先测度沈阳市中心城区交通网络中心性;通过核密度估计法对交通网络中心性与第三产业经济密度进行空间插值,将两者转换为同一计算单位,测算两者相关系数,分析第三产业经济密度空间分布与交通网络中心性的空间关系及其统计学特征;其中第三产业经济密度为面域数据,需在ArcGIS中建立渔网进行空间插值。研究结果如下:①交通网络中心性对第三产业经济密度空间具有决定性影响,交通网络的多中心性导致了经济活动的多中心性;②第三产业经济密度空间分布受介数中心性影响最大,直达性对第三产业经济密度空间分布影响也较大,而邻近度对第三产业经济密度分布影响较小。研究有助于整体把握沈阳市中心城区交通网络中心性空间分布状态,为城市经济活动布局提供科学依据,在城市规划理论与实践研究中具有指导意义。With the development of network science, many scholars abroad begin to focus on the research of cen- trality of traffic network based on MCA（Multiple Centrality Assessment） and its relationship with economic ac- tivities. Centrality of traffic network is calibrated in a MCA model composed of multiple measures such as close- ness, betweenness, and straightness. MCA model is a very important indicator that measures the rate of land de- velopment and utilization, and is widely used both in the theoretical and empirical inquiries. In this paper, by us- ing the tools developed by MIT to calculate centrality of traffic network and its relationship with economic activ- ities precisely and efficiently, we investigated the geography of three centralities of traffic network and their cor- relations with economic density of tertiary industry in Shenyang City, and then applied the KDE method to both centralities of traffic network and economic density to examine the correlations between them. Since economic density is regional data based on subdistricts, we created fishnet in ArcGIS and then did spatial interpolation. The results indicated that centralities of traffic network are correlated with the spatial distribution of economic density of tertiary industry in Shenyang. Spatial distribution of economic activity density correlates highly with the betweenness of traffic network, which means that the multiple centers of the streets lead to multiple centrali- ties of economic activities. But we found that only betweenness and straightness show clear multi-centricity. Closeness, however, just has single centrality. This also means closeness has less impact on economic activities than betweenness and straightness. The major contributions made by this research can be summarized as fol- lows： （1） Improving overall understanding of the spatial distribution of street centralities in Shenyang, which can be one of the most powerful determinants for urban planners and designers to understand how a city works and to decide wh

关 键 词：交通网络中心性 第三产业 经济密度 多中心性评价模型 沈阳市 

分 类 号：F572[经济管理—产业经济] F719F224