Population migration across the Qinghai-Tibet Plateau:Spatiotemporal patterns and driving factors

作     者：WANG Nan WANG Huimeng DU Yunyan YI Jiawei LIU Zhang TU Wenna WANG Nan;WANG Huimeng;DU Yunyan;YI Jiawei;LIU Zhang;TU Wenna

作者机构：State Key Laboratory of Resources and Environmental Information SystemInstitute of Geographic Sciences and Natural Resources ResearchCASBeijing 100101China College of Resource and EnvironmentUniversity of Chinese Academy of SciencesBeijing 100049China 

出 版 物：《Journal of Geographical Sciences》 (地理学报（英文版）)

年 卷 期：2021年第31卷第2期

页      面：195-214页

核心收录：

学科分类：02[经济学] 0201[经济学-理论经济学] 020106[经济学-人口、资源与环境经济学] 

基　　金：National Natural Science Foundation of China(41590845) Strategic Priority Research Program of the Chinese Academy of Sciences(XDA19040501) Strategic Priority Research Program of the Chinese Academy of Sciences(XDA20040401) National Key Research and Development Program of China(2017YFB0503605) National Key Research and Development Program of China(2017YFC1503003) 

主　　题：Qinghai-Tibet Plateau population migration migration big data flow radiation model spatiotemporal interaction mode 

摘      要：Developing a comprehensive understanding of inter-city interactions is crucial for regional *** therefore examined spatiotemporal patterns of population migration across the Qinghai-Tibet Plateau(QTP)using migration big data from Tencent for the period between 2015 and *** initially used decomposition and breakpoint detection methods to examine time-series migration data and to identify the two seasons with the strongest and weakest population migration levels,between June 18th and August 18th and between October 8th and February 15th,*** migration within the former period was 2.03 times that seen in the *** then used a variety of network analysis methods to examine population flow directions as well as the importance of each individual city in *** two capital cities on the QTP,Lhasa and Xining,form centers for population migration and are also transfer hubs through which migrants from other cities off the plateau enter and leave this *** show that these two cities contribute more than 35%of total population *** majority of migrants tend to move within the province,particularly during the weakest migration *** also utilized interactive relationship force and radiation models to examine the interaction strength and the radiating energy of each individual *** show that Lhasa and Xining exhibit the strongest interactions with other cities and have the largest radiating ***,the radiating energy of the QTP cities correlates with their gross domestic product(GDP)(Pearson correlation coefficient:0.754 in the weakest migration season,WMS versus 0.737 in the strongest migration season,SMS),while changes in radiating energy correlate with the tourism-related revenue(Pearson correlation coefficient:0.685).These outcomes suggest that level of economic development and level of tourism are the two most important factors driving the QTP population *** results of this analysis pro