中国农业大学学报2025，Vol.30Issue(6)：211-223,13.DOI:10.11841/j.issn.1007-4333.2025.06.19
基于土地利用类型与POI数据融合的"三生"空间识别
Identification of"production-living-ecological"space based on data fusion:A case study of Tianjin City
摘要
Abstract
Identifying"production-living-ecological"(PLE)space is critical for recognizing and classifying national territorial space.This study constructs an integrated PLE space recognition system to identify PLE space accurately and efficiently.The functional grid calculation method,analytic hierarchy process method,and multiple data fusion weighted calculation method are adopted.Taking Tianjin as the study object,this region's PLE space is identified and classified based on the point of interest data and land use data.The results demonstrated that:1)Within Tianjin,the area of production space is the largest,followed by the combined production-living space,and then the combined production-ecological space.The ecological space and combined living-ecological space occupy relatively smaller areas.2)In terms of the layout of the PLE function,the production function is particularly prominent in suburban areas but weaker in urban districts;The living function radiates outward from the central urban area,and the ecological function is most prominent in the northern mountainous regions of Tianjin,followed by suburban and urban areas.In summary,the PLE Space recognition system proposed in this study exhibits accuracy and reliability when applied to Tianjin,providing a basis for the rational layout of national territorial space in the city.关键词
"三生"空间/数据融合/空间识别/土地利用/POI数据Key words
"production-living-ecological"space/data fusion/spatial identification/land use/point of interest data分类
经济学引用本文复制引用
豆子翔,张立帆,王少卿,肖圣,赵艳玲..基于土地利用类型与POI数据融合的"三生"空间识别[J].中国农业大学学报,2025,30(6):211-223,13.基金项目
国家自然科学基金项目(41501564) （41501564）
