基于跨城人流布局的都市圈识别与空间网络模式研究——以长三角核心区为例

The boundary identification and spatial network patterns of mega city-regions from the perspective of inter-city flow:A case study of the core area of the Yangtze River Delta

都市圈的划分标准已经从空间形态转变为通过跨城关联反映的城市功能联系——空间网络。已有研究的空间尺度较大,且缺乏对网络中节点的分类分析,也鲜有研究对比同一城市群的都市圈内部关联、都市圈之间关联的空间网络。为了全面分析都市圈尺度下的空间网络,以长三角核心区为实证案例,使用手机信令数据,根据跨城人流布局对都市圈进行了识别和节点分类,解析了都市圈内部和都市圈之间的关联特征,进而根据不同类型节点之间、相同类型节点内部的关联度分布归纳了各都市圈的空间网络模式,并将其分为核心控制型、副核心支撑型、边缘增长型、平衡布局型,最后解释了其形成机制。此外,还分析了各模式中节点分工和关联模式的优缺点,并发现平衡布局型的都市圈发展程度最优,进而对不同模式的都市圈提出优化布局建议。

Mega city-regions,the core of urban agglomerations,are the primary driving force of urbanization in China. Its definition and boundary has turned from spatial form of land use to inter-city connectivity--spatial network. The connectivity between cities is the key indicator of mega city-region development. The existing studies are conducted on national or regional level and focused on the distribution of connectivity,but neglect the contrast among different mega city-regions and spatial network between them. This paper, aimed to reflect inter-city connectivity objectively and comprehensively,uses mobile signaling data to identify mega city-region boundaries on county or district level,in the core area of Yangtze River Delta.Secondly,the nodes in the spatial network are classified to further analyze the inter-city connectivity within and between mega city-regions. Lastly,the spatial network patterns and mechanisms are summarized according to the connectivity among same and different types of nodes. Four mega city-regions are identified in this study,and spatial network patterns fall into four types: under the control of core cities,with the support of secondary cities,increase of periphery cities,balanced development of the whole network. It is revealed that the last pattern is the most advanced,through the contrast of division of nodes among different patterns. The suggestions for followed-up development of different patterns are put forward,providing reference for enhancing inter-city connectivity and optimizing the spatial network for mega city-regions.