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基于人口流动的城市内部空间结构特征及其影响因素分析——以南京市为例
引用本文:甄峰,李哲睿,谢智敏.基于人口流动的城市内部空间结构特征及其影响因素分析——以南京市为例[J].地理研究,2022,41(6):1525-1539.
作者姓名:甄峰  李哲睿  谢智敏
作者单位:1.南京大学建筑与城市规划学院,南京 2100932.江苏省智慧城市设计仿真与可视化技术工程实验室,南京 2100933.南京工业大学建筑学院,南京211816
基金项目:国家社会科学基金重点项目(20AZD040);
摘    要:当前,“流”空间视角的城市网络结构研究方兴未艾,而城市内部急需寻找到稳定的网络结构分析框架与形成机制模型。在此背景下,本文聚焦通勤和休闲两类有向人流网络,以南京为研究对象,利用中心性与控制力、社区划分、改进重力模型等方法,解析南京内部的人流网络结构特征及其影响因素。结果显示:① 对空间尺度的分解可以有效识别全域-局域两个层次的空间结构。南京江南主城的“单极化”发展态势明显,主要表现为江南主城是通勤流与休闲流的密集流入地,且集中了各类型引力中心,兼具地方服务和区域服务功能。② 改进重力模型对全域人口流动强度的拟合效果较好,人口数量和空间距离在很大程度上影响着人口流动,职住比和人均POI数量分别是通勤流、休闲流的方向调节器。重力模型低估了浦口区、高淳区等政策重点倾斜地区的人流集散能力。

关 键 词:通勤流  休闲流  网络结构  影响因素  南京  
收稿时间:2021-07-13

Analysis of urban internal spatial structure characteristics and its influencing factors based on population flow: A case study of Nanjing
ZHEN Feng,LI Zherui,XIE Zhimin.Analysis of urban internal spatial structure characteristics and its influencing factors based on population flow: A case study of Nanjing[J].Geographical Research,2022,41(6):1525-1539.
Authors:ZHEN Feng  LI Zherui  XIE Zhimin
Institution:1. School of Architecture and Urban Planning, Nanjing University, Nanjing 210093, China2. Provincial Engineering Laboratory of Smart City Design Simulation & Visualization, Jiangsu, Nanjing 210093, China3. College of Architecture, Nanjing Tech University, Nanjing 211816, China
Abstract:At present, the research on urban network structure from the perspective of “flow space” is in the ascendant. Compared with the fruitful results at the regional scale, the stable network analysis framework and formation mechanism model of city-group have not yet been built. It is urgent to comprehensively use the urban regional network analysis method and expand it at the microscopic scale. At the same time, more and more attention has been paid to the city hierarchy and assortativity in the network context. In this research context, focusing on two types of directed flow of people: commute and recreation, this paper takes Nanjing as the study area, and uses the methods of centrality and control, community division and improved gravity model to analyze the characteristics and influencing factors of urban network association from the city-local level. The results show that: (1) The decomposition of spatial scale can effectively identify the city-local structure of commute and recreation. Nanjing presents a “unipolar” development trend of the main city to the south of the Yangtze River. The main performance is that the main city to the south of the Yangtze River attracts intensive commute and recreation flows, and it has all types of centers, providing both local and regional service. (2) The results show that the improved gravity model has a good fitting effect on the real flow of people in the whole area, and the number of residents and spatial distance limit affect the flow of residents to a great extent. The occupation residence ratio and per capita POI amount are the direction regulators of commuting flow and leisure flow respectively. The difference of functional energy levels of township streets determines the interpretation of gravity model to local pedestrian network. The gravity model underestimates the distribution capacity of people flows in Pukou district, Gaochun district and other key policy inclined areas.
Keywords:commuting flows  recreational flows  network structure characteristics  influencing factors  Nanjing  
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