基于多智能体人口模型的中国城镇化水平预测

Prediction of China's Urbanization Level Based on Multi-agent Population Model

  • 摘要: 在我国城镇化由高速扩张转向质量提升的关键阶段,科学预测其发展趋势对城乡规划与政策制定具有重要意义。本文突破传统自上而下的宏观预测模型局限,采用多智能体建模方法,构建了一个自下而上融合人口自然变动与机械变动机制的城镇化水平预测模型。在对2000—2020年全国城镇化水平进行模拟验证基础上,对2025—2050年的城镇化趋势展开多情景模拟预测。模型综合考虑城乡人口在生育、死亡和迁移三大核心要素上的差异,并引入婚配行为规则与城乡差异化参数。研究显示,模型对历史数据具有较好的拟合精度;在不同生育和迁移水平情景下,预计到2035年我国城镇化率将达到73.34%~75.19%,年均增速放缓至0.61%~0.72%。到2050年,我国城镇化率为75.64%~78.21%,并趋于稳定。模拟发现,生育率持续走低将通过加剧乡村老龄化与劳动力流失,进一步推动城镇化率上升,揭示了人口结构变动对迁移决策的深层影响。本研究可为理解城镇化发展的微观机制及其长期趋势提供新的方法视角。

     

    Abstract: At this critical juncture where China's urbanization is transitioning from rapid expansion to quality enhancement, scientifically forecasting its development trends holds significant implications for urban-rural planning and policy formulation. This study overcomes the limitations of traditional top-down macro-level forecasting models by employing a multi-agent simulation approach to develop a bottom-up urbanization projection model. This model integrates natural population change dynamics with internal migration mechanisms. Having been validated against national urbanization levels from 2000 to 2020, the model was applied to conduct multi-scenario simulations of urbanization trends for the period 2025 to 2050. The model comprehensively accounts for disparities between urban and rural populations across three core demographic components-fertility, mortality, and migration-while also incorporating rules governing marital behavior and parameters reflecting urban-rural differentiation. Results indicate robust fitting accuracy with historical data. Projections under different fertility scenarios suggest that China's urbanization rate will reach 73.34%~75.19% by 2035, with the annual growth rate decelerating to 0.61%~0.72%. By 2050, the urbanization rate is projected to stabilize between 75.64% and 78.21%. Simulation results further reveal that persistently declining fertility rates will accelerate urbanization by exacerbating rural population aging and labor outflows, thereby underscoring the profound impact of demographic structural shifts on migration decisions. This study provides novel insights into the micro-mechanisms and long-term trajectories of urbanization development.

     

/

返回文章
返回