黄浦江核心区滨水游憩流空间结构特征研究*
Spatial Structure Characteristics of Waterfront Recreation Flow in Core Area of the Huangpu River
向博文
武汉大学城市设计学院 博士研究生
赵渺希（通信作者）
华南理工大学建筑学院 亚热带建筑科学国家重点实验室 教授，博士生导师
魏 伟
武汉大学城市设计学院 教授，博士生导师
摘要: 开展滨水游憩流网络研究的挑战在于，既有构建旅游流网络模型的方法聚焦于城市及以上空间尺度，不适合街坊层面的滨水游憩流网络研究。提出GNSS轨迹数据和AOI数据相交的游憩流网络模型构建方法，以黄浦江核心段为例，基于社会网络分析法研究其空间结构特征。结论如下：（1）该方法可以较好地表征黄浦江核心段滨水游憩流空间结构，节点的程度中心性呈现出以滨水空间为轴线向两侧衰减的趋势，并形成了双核心区结构。高度中介性节点特征为江河交汇处、衔接了关联空间与滨水空间、连接了边缘节点与临江节点。（2）网络整体呈现出流量倾斜、结构松散的特征，东岸流通性显著高于西岸，世博滨江段是网络核心路径，苏州河、南京路与世博轴是主要垂江轴线。（3）网络以南浦大桥为分界线，可被划分为5个社区，各自呈现出线状或网状结构，社区间在关联地段缺少联系导致网络整体结构松散。
Abstract: The challenge of waterfront recreation flow network research lies in that the existing methods of constructing the tourism flow network model focus on city and larger scale but are not suitable for neighborhood-level research. This paper proposes a recreation flow network model construction method based on the intersection of GNSS trajectory data and AOI data, and the spatial structure characteristics of the core section of the Huangpu River are studied based on the social network analysis method. The conclusion is as follows: (1) In the waterfront recreation flow network of the core section of the Huangpu River, the degree centrality of nodes shows a trend of attenuation to both sides with the waterfront space as the axis, and a double-core zone structure is formed. Highly intermediary nodes are characterized by river interchange, connecting associated space and waterfront space, and connecting edge node and riverfront node. (2) The network as a whole shows the characteristics of inclined flow and loose structure, and the circulation of the east bank is significantly higher than that of the west bank. The waterfront section of the Expo is the core path of the network, and the Suzhou River, Nanjing Road, and the Expo axis are the central vertical axis of the river. (3) The network can be divided into five communities by the Nanpu Bridge, each showing a linear or reticular structure. The lack of connections between communities in related areas leads to the loose overall structure of the network.
关键词：滨水游憩网络；社会网络分析；GNSS轨迹数据；兴趣面
Keyword: waterfront recreation network; social network analysis; GNSS trajectory data; area of point
中图分类号：TU984
文献标识码: A
资金资助
国家重点研发计划项目 城市新区规划设计优化技术 2018YFC0704603
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