Identification of 3D urban spatiotemporal evolution patterns and pathways based on human-housing-economy coupling: a case study of Southwest China

doi:10.13474/j.cnki.11-2246.2026.0510

Abstract

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.

Key words: geospatial information, multi-source data fusion, urban spatio-temporal evolution, pattern identification, pathway analysis, Southwest China

CLC Number:

P237
P208

SONG Yuxin, WANG Hao, YANG Lan, LIU Caijuan, DU Jun, ZHAO Jun. Identification of 3D urban spatiotemporal evolution patterns and pathways based on human-housing-economy coupling: a case study of Southwest China[J]. Bulletin of Surveying and Mapping, 2026, 0(5): 50-55,71.

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