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作者

Weili Zhang;Zhaohui Chong;Xiaojian Li;Guibo Nie

来源

CITIES,Vol.99,Issue1,Article 102640

语言

英文

关键字

Population flow networks;Big data;Random walk;ERGM;Cities;China

作者单位

College of Resource and Environments, Collaborative Innovation Center of Urban-Rural Coordinated Development, Henan University of Economics and Law, Zhengzhou 450046, Henan, China;Business School, Shantou University, Shantou 515063, Guangdong, China;Collaborative Innovation Center of Urban-Rural Coordinated Development, Henan University of Economics and Law, Zhengzhou 450046, China;Institute of Yellow River Civilization and Sustainable Development, Henan University, Kaifeng 475001, China;College of Resource and Environments, Henan University of Economics and Law, Zhengzhou 450046, Henan, China;College of Resource and Environments, Collaborative Innovation Center of Urban-Rural Coordinated Development, Henan University of Economics and Law, Zhengzhou 450046, Henan, China;Business School, Shantou University, Shantou 515063, Guangdong, China;Collaborative Innovation Center of Urban-Rural Coordinated Development, Henan University of Economics and Law, Zhengzhou 450046, China;Institute of Yellow River Civilization and Sustainable Development, Henan University, Kaifeng 475001, China;College of Resource and Environments, Henan University of Economics and Law, Zhengzhou 450046, Henan, China

摘要

Despite the rising interest in understanding the population flows across cities, few empirical studies have paid close attention to their network characteristics and determining factors. Using the Tencent Location Big Data, this paper first analyzes the spatial patterns of interregional population mobility among 328 Chinese cities and aims to identify the influential factors associated with population flows based on the exponential random graph model (ERGM). Supported by social network analysis method, we found that the spatial distribution patterns of population flows were relatively stable, showing a diamond shape with 7 central points, with the most attractive cities located in east developed urban agglomerations. Nevertheless, the proportion of cities with a positive population inflow in the west increased. The subgroup structure gained by Walktrap algorithm suggested that the intra-province flows comprised the majority. Furthermore, variants of ERGMs were used to determine geographic, demographic, economic, natural, and linguistic factors, as well as others related to the level of facilities. The results are in line with the neoclassical economics theory and the amenity-led theory, while amenities' factor played a more significant role. Our research can provide important insights for strengthening network connections among cities to achieve more balanced regional development.