文献类型：期刊文献

英文题名：Spatial patterns and determinant factors of population flow networks in China: Analysis on Tencent Location Big Data

作者：Zhang, Weili[1];Chong, Zhaohui[2];Li, Xiaojian[3,4];Nie, Guibo[5]

第一作者：张伟丽

通讯作者：Chong, ZH[1]

机构：[1]Henan Univ Econ & Law, Coll Resource & Environm, Collaborat Innovat Ctr Urban Rural Coordinated De, Zhengzhou 450046, Henan, Peoples R China;[2]Shantou Univ, Business Sch, Shantou 515063, Guangdong, Peoples R China;[3]Henan Univ Econ & Law, Collaborat Innovat Ctr Urban Rural Coordinated De, Zhengzhou 450046, Peoples R China;[4]Henan Univ, Inst Yellow River Civilizat & Sustainable Dev, Kaifeng 475001, Peoples R China;[5]Henan Univ Econ & Law, Coll Resource & Environm, Zhengzhou 450046, Henan, Peoples R China

第一机构：河南财经政法大学

通讯机构：[1]corresponding author), Shantou Univ, Business Sch, Shantou 515063, Guangdong, Peoples R China.

年份：2020

卷号：99

外文期刊名：CITIES

收录：;Scopus(收录号：2-s2.0-85079218230);WOS:【SSCI(收录号:WOS:000526037400022)】；

基金：This work is supported by National Natural Science Foundation of China (No. 41771124; 41971223), the Humanities and Social Sciences Research Fund of Ministry of Education of China (17YJC790198), Philosophy and Social Science Program in Henan Province of China (2017BJJ009), Young Top-notch Talent Program of Henan University of Economics and Law (hncjzfdxqnbjrc201602), National Statistical Science Research Program (2019510), Social Science Planning Project of Guangdong Province (Grant No. GD19YGL17) and the Shantou University Scientific Research Foundation Project (Grant No. STF18010).

语种：英文

外文关键词：Population flow networks; Big data; Random walk; ERGM; Cities; 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.