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“三生”融合发展背景下,开发区尺度层面的“三生”空间分类、识别与演变研究对于支撑其未来功能空间的更新与再开发具有重要意义。本文选取潍坊滨海经济技术开发区为研究区,结合传统“三生”空间分类与产业分类方法,构建开发区层面的“三生”空间分类体系,并基于时间序列Landsat影像与POI数据,利用SOM神经网络与K-means算法构建“三生”空间识别方法。结果显示:(1)研究区共识别出生态空间、生活空间、资源密集型生产空间、技术密集型生产空间、资本密集型生产空间、生活—技术密集型生产混合空间、生活—生态混合空间、生态—资源密集型生产混合空间共8类功能空间,识别精度达89%。(2)2005—2020年研究区功能空间类型逐渐丰富且呈现明显的融合演变特征,生活空间与生态、技术密集型生产空间的融合趋势较明显,生态空间扩展明显,且多分布于生态本底较好的河流沿岸区域,生活扩展空间多分布于老城(镇)区邻近区域;研究区产业升级趋势明显,且多分布于早期产业空间内部或新扩展生活空间邻近区域;沿海区域存在一定规模的生产功能扩展空间用于港口建设和制盐产业发展。研究结果可为开发区功能空间演变机理探索与优化提供支撑。
Abstract:In the context of the integrated development of "production-living-ecological" space(PLES),research on the classification, identification, and evolution of PLES at the development zone scale is of great significance for supporting the renewal and redevelopment of future functional spaces.This study selected the Weifang Binhai Economic and Technological Development Zone as the study area.By combining traditional PLES classification with industrial classification methods, a PLES classification system at the development zone level was constructed.Based on time-series Landsat images and POI data, a PLES identification method was developed using the SOM neural network and K-means algorithm.The findings are as follows.(1) Eight functional space types were identified in the study area, including ecological space, living space, resource-intensive production space, technology-intensive production space, capital-intensive production space, living-technology-intensive production mixed space, living-ecological mixed space, and ecological-resource-intensive production mixed space, with an identification accuracy of 89%.(2) From 2005 to 2020,the functional space types in the study area gradually became more diverse and exhibited obvious integration characteristics.The integration trends of living space with ecological space and with technology-intensive production space were more evident.Ecological space expanded significantly, mostly distributed along riverbanks with good ecological backgrounds.The expansion of living space was mostly distributed in areas adjacent to old town districts.The trend of industrial upgrading was obvious, and upgraded spaces were mostly embedded within early industrial spaces or adjacent to newly expanded living spaces.There were production function expansion spaces of a certain scale in the coastal area, some used for port construction and some for salt industry development.The research results can provide support for exploring the evolution mechanisms and optimization of functional spaces in development zones.
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基本信息:
中图分类号:P74;TU984.18;X321
引用信息:
[1]张洋华,王云龙,安凌霄,等.滨海型开发区“三生”空间识别及演变特征研究[J].地理与地理信息科学,2026,42(04):70-77.
基金信息:
教育部人文社会科学研究青年基金项目(24YJCZH428); 山东省自然科学青年基金项目(ZR2025QC428); 山东省人文社会科学课题
2026-07-09
2026-07-09
2026-07-09
