基于FLUS模型的松潘城镇建设适宜性评价优化研究  

Optimization Research on Construction Suitability Evaluation of Songpan County Based on FLUS Model

作　　者：李宇航 叶长盛[1] LI Yuhang;YE Changsheng(School of Earth Science,East China University of Technology,Nanchang 330013,China)

机构地区：[1]东华理工大学地球科学学院,江西南昌330013

出　　处：《地理空间信息》2025年第3期46-50,共5页Geospatial Information

基　　金：国家自然科学基金资助项目(42061041)。

摘　　要：引入POI和人口动态数据改进FLUS模型,以提高模拟精度;再利用改进模型模拟未来松潘城镇发展的潜力区域,并与城镇适宜性评价结果进行对比。结果表明:①改进FLUS模型的Kappa系数提高了3.78%,总体精度提高了2.15%;②不同情景的空间分布基本一致,但相较于自然情景,低碳情景下的耕地、林地退化面积减少了1.19%和0.07%,草地面积增加了0.55%,建设用地扩张面积减少了26.22%,更符合现实要求,可作为未来城镇发展的依据;③正反思维相结合,对城镇建设适宜性评价结果进行优化,既满足国土空间精细化治理的要求,又能为规划提供更准确的决策支持。In order to enhance simulation accuracy,we used POI and population dynamics data to improve the FLUS model at first.Then,we used the improved FLUS model to simulate the potential areas for future urban development in Songpan County,and compared them with the results of urban suitability evaluation.The results show that①the improved FLUS model has increased the Kappa coefficient by 3.78%compared to the original model,and the overall accuracy has increased by 2.15%.②The spatial distribution of different scenarios is basically consistent,but compared to natural scenario,the degradation area of cultivated land and forest under low-carbon scenario has decreased by 1.19%and 0.07%,grassland area has increased by 0.55%,and the expansion area of construction land has decreased by 26.22%,which is more in line with practical requirements and can be used as a basis for future urban development.③The combination of forward and reverse thinking optimizes the results of suitability evaluation for urban construction,which not only meets the refined governance requirements of territorial space,but also provides more accurate decision-making support for planning.

关 键 词：改进FLUS模型 人口动态 POI 适宜性评价 松潘县 

分 类 号：TU982[建筑科学—城市规划与设计]