| 摘要: |
| “流空间”视角下，对城市体系的研究
逐渐由属性数据测度的静态等级结构转向关系
型数据测度的动态城市网络。以浙江省宁海县
为例，利用SDK数据表征各乡镇间的实测人流
联系强度，通过社会网络分析法、改进的优势
流法和位序—规模法测度城镇体系网络特征，
且与现行县域总体规划的城镇体系规划进行对
比。结果表明：一、宁海县各乡镇联系整体呈现
西强东弱、北强南弱的不均衡特征；二、第一、
第二和第三优势流主要向跃龙街道和桃源街
道汇集，且可识别区域内联系紧密的乡镇组合；
三、宁海县的人群流动通廊与规划轴线走向、
对外交通系统布局基本一致，西店镇、茶院乡—
力洋镇组合、前童镇—岔路镇组合的发展基本
符合规划设想，长街镇与规划设想尚有一定的
差距。为优化宁海城镇体系，建议采取统筹区域交通、强化重点乡镇中心性、整合要素资源等措施。本研究对于其他区域城镇体系的识别和规
划工作具有借鉴意义。 |
| 关键词: SDK数据 城镇体系 网络联系 度中心度 优势流 宁海县 |
| DOI：10.13791/j.cnki.hsfwest.20220403 |
| 分类号: |
| 基金项目:“十三五”国家重点研发计划项目（2018YFD1100300） |
|
| Research on Network Characteristics of Urban System Based on SDK Data: A Case Studyof Ninghai County in Zhejiang Province |
|
CHEN Qiuxiao,SHEN Chenying,ZHANG Mingyu
|
| Abstract: |
| From the perspective of “space of flow”, research on urban systems has gradually
shifted from a static hierarchical structure measured by attribute data to a dynamic city network
measured by relational data. The intensity of people flow can directly represent the strength
of regional connections, and the development of information technology has improved the
availability and diversity of population mobility data. Relevant studies have used mobile phone
signaling data, Baidu migration data, SDK data, and Tencent location big data to calculate the
actual people flow intensity between regions, and analyzed the network characteristics of the
regional urban system. Compared with mobile phone signaling data, SDK data has several
advantages such as more affordability, higher openness and positioning accuracy.
Taking Ninghai County in Zhejiang Province as an example, this study uses SDK data to
describe the intensity of actual population flow among towns, and identifies the urban system
network through methods like social network analysis, improved dominant flow analysis, and
rank-scale rule, then compares it with the urban system defined by the current master plan.
The results show that: 1) The scale structure of Ninghai County based on urban population and
degree centrality conforms to the rank-scale rule, and the Zipf dimensions are 1.072 and 1.317.
From the perspective of population scale, the hierarchical structure of townships in Ninghai
County is close to the ideal situation. From the perspective of people flow connection, the
internal township structure system of Ninghai County is relatively scattered and shows obvious
regional variation. 2) The overall connection of towns in Ninghai County is unbalanced,
weakened from west to east and from north to south. In the western area, the connections
between the towns and villages are relatively close except for Shenzhen Town. 3) The first,
second, and third dominant flows mainly converge on Yuelong Street and Taoyuan Street, and
it is possible to identify closely-connected townships which are Chayuan Township-Liyang
Town-Huchen Township and Qiantong Town-Chalu Town. 4）The results of grading based on
population size depend on demographic data and cannot denote the actual status of nodes in the
network. Dividing the network node level according to the degree centrality can better representthe comprehensive strength of the township, and dividing according to the number and weight of the dominant flows is affected by the regional status
of the node. 5) Based on various grading methods, the urban system of Ninghai County can be divided into four levels, among which Taoyuan Street
and Yuelong Street are first-level nodes; Meilin Street and Xidian Town are second-level nodes; Liyang Town, Qiaotouhu Street, Huangtan Town,
Qiantong Town, Chalu Town, and Chayuan Township are third-level nodes; the rest are fourth-level nodes. 6) Compared with the “Ninghai County
Master Plan(2007-2020)”, it is found that the population flow corridor in Ninghai County is basically the same as the planned axis direction and
the layout of the external transportation system. The status of Xidian Town accords with the planning level, but its regional centrality in the north
is not strong. The regional centrality of Changjie Town in the southeast area of Ninghai County is not so strong as planned, while the coordinated
development of the combination of Chayuan Township-Liyang Town, and Qiantong Town-Chalu Town basically meets the planning objectives.
In order to optimize the urban system of Ninghai County, this paper puts forward 3 suggestions. Firstly, regional connections should be
strengthened and regional transportation should be coordinated in order to construct the convenient north-south regional traffic corridors to promote
the flow of people and logistics and drive the balanced development of the southern network nodes. Secondly, the centrality of key towns should
be enhanced, and the internal connections in the region is to be strengthened. Finally, it is important to integrate resources, promote regional
coordinated development and improve the formulation of collaborative strategies and the guarantee of policy mechanisms, which contributes to
enhancing the status of township combined units in the regional network. In general, the correlation network established based on the actual flow is
more realistic and real-time. It can not only be used to calculate the degree centrality of network nodes in place of traditional attribute data for the
analysis of hierarchical structure, but also to analyze the network connection characteristics through the dominant flow method, and identify the
“network lines” with strong connections and the “network points” that are closely related in the region. This research can be referred for the
identification of urban systems in other regions, which can be further utilized for urban systems planning. |
| Key words: Software Development Kit (SDK) Data Urban System Network Connection Degree Centrality Dominant Flow Ninghai County |
