基于XGBoost-SHAP算法的夏热冬冷地区住宅建筑碳排放时空演变及影响因素研究

Spatiotemporal evolution and influencing factors of residential building carbon emissions in Hot Summer and Cold Winter Climate Zone based on XGBoost-SHAP algorithm

  • 摘要: 为系统探究夏热冬冷地区住宅建筑碳排放的时空演变规律及其驱动机制,利用2007—2021年九省市的面板数据,采用Slope值、泰尔指数及标准差椭圆等方法探究碳排放的时空特征,结合经贝叶斯超参数优化的XGBoost-SHAP框架,分析该地区碳排放的驱动机制差异。结果发现:碳排放总量从2007年的185.64百万t增至2021年的334.61百万t,增速呈现显著的阶段性特征;空间分布呈现出显著的上下游梯度特征及南北向集聚、东西向发散的演化趋势,区域内差异贡献率持续超过90%;影响维度的作用大小为人口规模>技术水平>经济发展>建筑属性>政策支持>气候特征,上、中、下游地区分别呈现“能源主导型”“人口主导型”和“能源经济双轮驱动型”的差异化发展模式,各影响因素普遍存在显著的非线性效应和临界特征。针对区域差异,提出构建“三层联动”的区域协同机制,实施“双轨并进”“精细化管理”和“系统集成”的差异化减排策略。

     

    Abstract: This study systematically investigated the spatiotemporal evolution and driving factors of residential building carbon emissions in the Hot Summer and Cold Winter Climate Zone. We first utilized panel data from nine provinces and municipalities from 2007 to 2021 to examine the spatiotemporal evolution patterns of carbon emissions through methods including the Slope value, Theil index, and Standard Deviational Ellipse. Subsequently, we conducted an in-depth analysis of the differential driving mechanisms of carbon emissions using the XGBoost-SHAP framework optimized by Bayesian hyperparameters. The results indicated that total carbon emissions increased from 185.64 million tons in 2007 to 334.61 million tons in 2021, with growth rates exhibiting significant phase-specific characteristics. Spatially, the distribution exhibited notable upstream-downstream gradient, characterized by north-south agglomeration and east-west dispersion, with the contribution rate of intra-regional disparities consistently exceeding 90%. The relative influence of the dimensions ranked as follows: population scale > technological level > economic development > building attributes > policy support > climatic characteristics. The upstream, midstream, and downstream regions demonstrated differentiated development patterns of "energy-dominated," "population-dominated," and "energy-economy dual-driven" modes, with all influencing factors generally showing significant nonlinear effects and threshold characteristics. In response to regional differences, a "three-layer linkage" regional coordination mechanism was proposed, along with differentiated emission reduction strategies including "dual-track progression", "refined management", and "system integration".

     

/

返回文章
返回