人—房—经济耦合的三维城市时空演化模式识别与路径分析——以中国西南地区为例

doi:10.13474/j.cnki.11-2246.2026.0510

测绘通报 ›› 2026, Vol. 0 ›› Issue (5): 50-55,71.doi: 10.13474/j.cnki.11-2246.2026.0510

• 第二十八届中国科协年会学术论文 • 上一篇

人—房—经济耦合的三维城市时空演化模式识别与路径分析——以中国西南地区为例

宋雨欣^1,2, 王浩^1,2, 杨兰¹, 刘彩娟¹, 杜军³, 赵珺⁴

1. 中国测绘科学研究院, 北京 100036;
2. 山东科技大学测绘与空间信息学院, 山东青岛 266590;
3. 河南省科学院地理研究所, 河南郑州 450052;
4. 龙口市土地整理储备中心, 山东烟台 265701

收稿日期:2026-04-15 发布日期:2026-06-09
通讯作者: 王浩。E-mail:wanghao@casm.ac.cn
作者简介:宋雨欣(2000—),女,硕士生,研究方向为城市遥感与体检评估。E-mail:songyuxin1022@qq.com
基金资助:
国家重点研发计划(2023YFC3804001)

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

SONG Yuxin^1,2, WANG Hao^1,2, YANG Lan¹, LIU Caijuan¹, DU Jun³, ZHAO Jun⁴

1. Chinese Academy of Surveying and Mapping, Beijing 100036, China;
2. College of Geomatics and Spatial Information, Shandong University of Science and Technology, Qingdao 266590, China;
3. Institute of Geographical Sciences, Henan Academy of Sciences, Zhengzhou 450052, China;
4. Longkou City Land Consolidation and Reserve Center, Yantai 265701, China

Received:2026-04-15 Published:2026-06-09

摘要/Abstract

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。

关键词: 空天信息, 多源数据融合, 城市时空演化, 模式识别, 路径分析, 西南地区

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

中图分类号:

P237
P208

宋雨欣, 王浩, 杨兰, 刘彩娟, 杜军, 赵珺. 人—房—经济耦合的三维城市时空演化模式识别与路径分析——以中国西南地区为例[J]. 测绘通报, 2026, 0(5): 50-55,71.

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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人—房—经济耦合的三维城市时空演化模式识别与路径分析——以中国西南地区为例

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

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