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Quantum harmonic oscillator model for simulation of intercity population mobility

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Abstract

The simulation of intercity population mobility helps to deepen the understanding of intercity population mobility and its underlying laws, which has great importance for epidemic prevention and control, social management, and even urban planning. There are many factors that affect intercity population mobility, such as socioeconomic attributes, geographical distance, and industrial structure. The complexity of the coupling among these factors makes it difficult to simulate intercity population mobility. To address this issue, we propose a novel method named the quantum harmonic oscillator model for simulation of intercity population mobility (QHO-IPM). QHO-IPM describes the intercity population mobility as being affected by coupled driving factors that work as a multioscillator-coupled quantum harmonic oscillator system, which is further transformed by the oscillation process of an oscillator, namely, the breaking point of intercity population mobility. The intercity population mobility among seven cities in the Beijing-Tianjin-Hebei region and its surrounding region is taken as an example for verifying the QHO-IPM. The experimental results show that (1) compared with the reference methods (the autoregressive integrated moving average (ARIMA) and long and short-term memory (LSTM) models), the QHO-IPM achieves better simulation performance regarding intercity population mobility in terms of both overall trend and mutation. (2) The simulation error in the QHO-IPM for different-level intercity population mobility is small and stable, which illustrates the weak sensitivity of the QHO-IPM to intercity population mobility under different structures. (3) The discussion regarding the influence degree of different driving factors reveals the significant “one dominant and multiple auxiliary” factor pattern of driving factors on intercity population mobility in the study area. The proposed method has the potential to provide valuable support for understanding intercity population mobility laws and related decision-making on intercity population mobility control.

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Data availability statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

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Acknowledgments

We are grateful to the Tencent location big data platform for providing the data used in this study. Data source: The Tencent location big data platform (https://heat.qq.com/). We also wish to acknowledge WANG Jiaxian for collecting experimental data and for helpful comments on the paper.

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Authors and Affiliations

  1. School of Geography, Nanjing Normal University, Nanjing, 210023, China

    Xu Hu, Lingxin Qian, Xiaoyu Niu, Ming Gao, Wen Luo, Linwang Yuan & Zhaoyuan Yu

  2. Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Ministry of Education, Nanjing, 210023, China

    Wen Luo, Linwang Yuan & Zhaoyuan Yu

  3. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, 210023, China

    Wen Luo, Linwang Yuan & Zhaoyuan Yu

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  1. Xu Hu
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  2. Lingxin Qian
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  3. Xiaoyu Niu
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Correspondence to Zhaoyuan Yu.

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Foundation: National Natural Science Foundation of China, No.42230406, No.42130103, No.41971404, No.42201504

Author: Hu Xu (1997–), PhD Candidate, specialized in population mobility modeling, urban geography, and quantum models and applications.

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Hu, X., Qian, L., Niu, X. et al. Quantum harmonic oscillator model for simulation of intercity population mobility. J. Geogr. Sci. 34, 459–482 (2024). https://doi.org/10.1007/s11442-024-2213-3

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