STRUCTURAL CHARACTERISTICS AND INFLUENCING FACTORS OF DAILY POPULATION MOVEMENT NETWORK IN NANJING METROPOLITAN AREA
HUANG Zhi-qiang1,2, ZHEN Feng1,2, XI Guang-liang1,2, LI Zhi-xuan1,2
1. School of Architecture and Urban Planning, Nanjing University, Nanjing 210093, China;
2. Provincial Engineering Research Center of Smart City Planning and Digital Governance, Nanjing 210093, China
Abstract：Using multi-source data such as mobile phone signaling data, railway frequency data, network big data and socio-economic statistics, taking districts and counties as the research unit, this paper analyzes the characteristics of daily population movement network in Nanjing metropolitan area, and uses QAP regression model to analyze the influencing factors of daily population movement network. The research results are as follows:1) The scale of daily population movement network in the districts and counties of Nanjing metropolitan area presents a "circle type" distribution feature, the characteristics of "small world" of population movement network is obvious. The obstruction of urban administrative boundary to daily population movement network is still strong; 2) Traffic accessibility, network information connection and differences in service function characteristics such as employment opportunities, consumption vitality and public service attractiveness are the main driving forces of daily population flow movement network in Nanjing metropolitan area, while the driving factors of population movement at a larger scale such as economic level, income level and urbanization rate in previous studies are not significant. The purpose of the study is to analyze the internal mechanism of daily population movement network in metropolitan area, and to provide reference for accelerating the integrated and coordinated development of metropolitan area.
黄志强, 甄峰, 席广亮, 李智轩. 南京都市圈日常人口流动网络结构特征及影响因素[J]. 人文地理, 2023, 38(4): 112-120.
HUANG Zhi-qiang, ZHEN Feng, XI Guang-liang, LI Zhi-xuan. STRUCTURAL CHARACTERISTICS AND INFLUENCING FACTORS OF DAILY POPULATION MOVEMENT NETWORK IN NANJING METROPOLITAN AREA. HUMAN GEOGRAPHY, 2023, 38(4): 112-120.
