《The formation and proximity mechanism of population flow networks under multiple traffic in China》

打印
作者
Hao Meng;Xianjin Huang;Xiyan Mao;Yong Xia;Binquan Lin;Yan Zhou
来源
CITIES,Vol.136,Issue1,Article 104211
语言
英文
关键字
作者单位
School of Economics, Nanjing University of Finance and Economics, Nanjing 210023, China;School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China;School of International Economics and Trade, Nanjing University of Finance and Economics, Nanjing 210023, China;Department of Economics and Management, Party School of C.P.C. Jiangsu Committee, Nanjing 210009, China;Faculty of Geography, Yunnan Normal University, Yunnan 650500, China;School of Economics, Nanjing University of Finance and Economics, Nanjing 210023, China;School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China;School of International Economics and Trade, Nanjing University of Finance and Economics, Nanjing 210023, China;Department of Economics and Management, Party School of C.P.C. Jiangsu Committee, Nanjing 210009, China;Faculty of Geography, Yunnan Normal University, Yunnan 650500, China;Erasmus School of History, Culture and Communication, Department of Arts and Culture Studies, Netherlands;CUNY Urban Food Policy Institute, CUNY Graduate School of Public Health & Health Policy, The City University of New York, New York, NY, USA;School of Public Policy and Administration, Chongqing University, Shapingba District, Chongqing 400044, PR China;Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, 100 Pingleyuan, Chaoyang District, Beijing, China;Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, 181 Chatham Road South, Hung Hom, Kowloon, Hong Kong;School of Management and Engineering, Capital University of Economics and Business, 121 Zhangjia Road, Huaxiang, Fengtai district, Beijing, China;Department of Technology and Society, College of Engineering and Applied Sciences, State University of New York, Stony Brook, NY 11794-4404, United States of America;SUNY Korea, Republic of Korea;Stony Brook University USA;Kelley School of Business, Indiana University USA;China Waterborne Transport Research Institute, Beijing, China;The World Bank Group, Addis Ababa, Ethiopia;STC-Nestra, Rotterdam, the Netherlands;Ocean College, Zhejiang University, Zhoushan, China
摘要
Population flow within a specific spatial range can promote social and economic reaggregation and diffusion. However, few empirical studies have paid close attention to population flow networks (PFNs) under different traffic. Tencent migration data were used to analyse the spatial patterns and aims to identify how proximity affects PFNs among 338 Chinese cities in 2018. The results indicated that the weighted average distance of population flow by highways and railways are 252.39 km and 566.16 km, showed restriction by distance decay in space. However, the weighted average distance of population flow by aviation was 1282.71 km, was less affected by geospatial constraints. PFNs involving highways, railways, and aviation display core-periphery, corridor, and hub-spoke structures, respectively. China's PFNs forms a diamond structure under multiple traffic, with Beijing, Shanghai, Shenzhen, Guangzhou, Chongqing, and Chengdu as the vertices. Negative binomial regression models were used to determine how proximities affect PFNs under multiple traffic. The estimated coefficients for geographical proximity, institutional proximity, and cultural proximity were significantly positive at the 1 % level. The influence of climate proximity on the PFNs may be complex, with a positive impact on PFNs on highways and railways but a negative impact on PFNs involving aviation.