Social Work

Different roads take me home: the nonlinear relationship between distance and flows during China's Spring Festival

X. Luan, H. Paryzat, et al.

Discover the intriguing nonlinear relationships between distance and intercity population flows during China's Spring Festival, revealed through Tencent Big Data and a Gradient Boosting Decision Tree model. This cutting-edge research, conducted by Xiaofan Luan, Hurex Paryzat, Jun Chu, Xinyi Shu, Hengyu Gu, De Tong, and Bowen Li, uncovers regional distinctions and the dynamic behaviors of population movement across various provinces.

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Abstract

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

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