This paper investigates the nonlinear relationship between distance and intercity population flows during China's Spring Festival using Tencent Big Data and a Gradient Boosting Decision Tree (GBDT) model. Three nonlinear relationships are identified: plateau, drop, and rebound. Provincial differences reveal that these relationships depend on relative location and intra-provincial urban systems, with coastal provinces exhibiting more inclusive spatial structures compared to inland cities.
Publisher
Humanities and Social Sciences Communications
Published On
Oct 11, 2024
Authors
Xiaofan Luan, Hurex Paryzat, Jun Chu, Xinyi Shu, Hengyu Gu, De Tong, Bowen Li
Tags
nonlinear relationship
intercity population flows
China
Spring Festival
Tencent Big Data
Gradient Boosting Decision Tree
provincial differences
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