【摘要】 [目的]为深化对城市演化过程的认识，从人—房—经济耦合视角识别中国西南城市三维时空演化模式与路径。[方法]本文融合建筑高度、建筑密度、人口和GDP等多源数据，构建多期差分指标体系，采用多时间序列K-means聚类和状态序列分析开展识别。[结果]2005—2020年西南地区城市演化经历了由低速稳态主导、建设扩张增强到增量放缓与更新提质并存的阶段。持续停滞路径占比最高，主要分布于西藏、川西和滇西等地区，稳步发展与增长衰减多见于成都、贵阳等核心城市周边。[结论]多源数据融合可揭示人口集聚、住房建设与经济增长之间的协同与错位并存的时空特征，为复杂地形地区城市演化监测与区域发展分析提供支撑。更多还原

【Abstract】 [Purposes] To deepen the understanding of urban evolution processes, this study identifies 3D urban spatio-temporal evolution patterns and pathways in Southwest China from the perspective of human-housing-economy coupling.[Methods] Multi-source data, including building height, building density, population, and GDP,were integrated to construct a multi-period differential indicator system, and multi-temporal K-means clustering together with state sequence analysis was employed for identification.[Findings] From 2005 to 2020,urban evolution in Southwest China experienced a stage-wise process from low-speed steady development, to intensified construction expansion, and then to the coexistence of slowing incremental growth and renewal-oriented quality improvement.Persistent stagnation accounted for the largest share and was mainly distributed in Xizang, Western Sichuan, and Western Yunnan, while steady development and growth attenuation were more common around core cities such as Chengdu and Guiyang.[Conclusions] The integration of multi-source data can reveal the spatio-temporal characteristics of the coexistence of coordination and mismatch among population agglomeration, housing development, and economic growth, providing support for urban evolution monitoring and regional development analysis in complex terrain regions.更多还原