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

Developing a comprehensive understanding of inter-city interactions is crucial for regional planning. We therefore examined spatiotemporal patterns population migration across the Qinghai-Tibet Plateau (QTP) using big data from Tencent period between 2015 and 2019. initially used decomposition breakpoint detection methods to examine time-series identify two seasons with strongest weakest levels, June 18th August October 8th February 15th, respectively. Population within former was 2.03 times that seen in latter. then variety network analysis flow directions as well importance each individual city migration. The capital cities on QTP, Lhasa Xining, form centers are also transfer hubs through which migrants other off plateau enter leave this region. Data show these contribute more than 35% total majority tend move province, particularly during season. utilized interactive relationship force radiation models interaction strength radiating energy city. Results Xining exhibit have largest energies. Indeed, QTP correlates their gross domestic product (GDP) (Pearson correlation coefficient: 0.754 season, WMS versus 0.737 SMS), while changes correlate tourism-related revenue 0.685). These outcomes suggest level economic development tourism most important factors driving results provide critical clarification guidance regarding huge differences.