基于高速公路交通流的江苏省城市空间关联特征

在江苏省高速公路网络2012年12月OD流量数据和通行时间数据支撑下,本文从县市尺度出发,在对城市空间关联的节点、路径和组团等要素分析基础上,尝试勾绘关联特征的基本图示。结论如下:①城市节点分布有一定的等级性,且节点重要性本身与其社会经济发展状况或在高速公路的功能定位有关。②单一组团或近邻组团以"中心城市+关联节点"进行关联,且城市间的通行时间基本在1小时内,而中长距离的双核心或多核心的组团则以中心城市作为联系基轴建构,且通行时间在1-3小时之间。③综合节点、路径和组团等要素勾绘的城市关联特征模式包含苏北系统、跨江系统和苏南系统,且该模式昭示以"多板块协同发展"的思路规划区域发展战略可作为优先考虑的方案。

URBAN SPATIAL INTERACTION CHARACTERISTICS BASIS ON EXPRESSWAY TRAFFIC FLOW: A CASE STUDY IN JIANGSU PROVINCE

Expressway is the backbone of the modern transportation system, and it's characterized by totallyclosed, large capacity and high speed to gain advantages in passenger transport and cargo transport in the middle-distance and short-distance. For nearly thirty years sustainable construction, China has formed a large-scale, multi-level and broad coverage cooperative expressway network, which has a major impact of the existing road network's accessibilities and traffic locations, and also has a huge thrust convenient to the formation of urban and regional spatial interactions at the same time. For the use of the expressway network to insight spatial structure of urban network launched at the theoretical level, although some discussion, but empirical support with real expressway traffic flow is still very weak, resulting in its study lagged behind air traffic flow and rail traffic flow. Under the OD flow data and transit time data of Jiangsu expressway network in December 2012, this paper analyzes the nodes, paths and associated groups of urban spatial interaction elements, and attempt to draw the basic graph of urban spatial interactions. The conclusions can be drawn as follows:1)All the urban nodes form a hierarchy of several levels and the vital ones are connected with their socio-economic development status or the functional orientation in expressway network. 2)The single groups or neighbor groups are consists of "central city and correlative node", and the transit time between two cities within a group are mainly in one hour. 3)Considering the elements of nodes, paths and associated groups to draw the basic graph of urban spatial interactions, which are consists of three systems.