摘要
定量分析土地城镇化时空演变驱动力可为城市可持续发展提供科学依据。本文将对地观测数据与人口、经济数据相结合,以长江经济带(江苏段)沿江8市为例,基于2000—2020年5期Landsat影像、夜间灯光影像、年末人口总数和GDP,采用GeDetector对其近20年间空间、人口及经济维度的演化及多尺度分化的进程进行探讨,分析土地城镇化时空演变规律及驱动因子。研究结果表明:(1)城镇化过程直接驱动地表类型的变化,且人口数量和GDP总量能够作为城镇化过程强度的定量指标;(2)夜间灯光(NTL)数据耦合人口或经济统计数据能够较好解释区域城镇化过程中的时空差异;(3)长江经济带(江苏段)沿江8市城镇化过程经历了由数量向质量的转变。研究结果为引导城镇建设用地合理配置提供科学依据,为城市可持续发展提供决策参考。
Quantitative analysis of the driving force of spatio-temporal evolution of land urbanization can provide scientific basis for sustainable urban development.This paper combines earth observation data with population and economic data,takes 8 cities along the Yangtze River economic belt(Jiangsu section)as examples,and based on 5 Landsat images from^(2)000 to 2020,night light images,total population and GDP.GeDetector is used to discuss the evolution of spatial,population and economic dimensions and the process of multi-scale differentiation in the past 20 years,and analyze the spatial-temporal evolution law and driving factors of land urbanization.The results show that:①The urbanization process directly drives the change of land surface type,and the population and GDP can be used as quantitative indicators of the urbanization process intensity.②NTL data coupled with population or economic statistics can better explain the spatio-temporal differences in the process of regional urbanization.③The urbanization process of 8 cities along the Yangtze River economic belt(Jiangsu section)has experienced a change from quantity to quality.The research results provide scientific basis for guiding the rational allocation of urban construction land,and provide decision-making reference for urban sustainable development.
作者
李胤
詹雅婷
赵立鸿
赵立科
崔艳梅
LI Yin;ZHAN Yating;ZHAO Lihong;ZHAO Like;CUI Yanmei(Geological Survey of Jiangsu Province,Nanjing 210018,China;Natural Resources Satellite Application Technology Center of Jiangsu Province,Nanjing 210018,China)
出处
《测绘通报》
CSCD
北大核心
2024年第4期135-139,共5页
Bulletin of Surveying and Mapping
基金
国家自然科学基金面上项目(42271342)
江苏省自然资源厅2021年度科技计划(2021037)。
关键词
长江经济带
城镇化
地理探测器
时空演变
驱动因子
Yangtze River economic belt
urbanization
geographical detector
space-time evolution
driving factor
