北京建筑大学学报2025，Vol.41Issue(4)：84-94,11.DOI:10.19740/j.2096-9872.2025.04.10
基于GIS-MCDA的建筑垃圾资源化处置设施选址研究
GIS-MCDA-Based Site Selection for Construction Waste Recycling:A Case Analysis of Beijing's Central District
摘要
Abstract
With the continuous advancement of urbanization,the rational site selection of construction waste recycling facilities has become one of the important issues in urban environmental governance.This study takes the central urban area of Beijing as a case to construct an auxiliary decision-support model for site selection,incorporating construction waste generation estimation,multi-criteria suitability evaluation,and spatial layout optimization.The GIS-MCDA method is employed to develop an evaluation index system covering natural,social,and economic factors.The Intuitionistic Fuzzy Analytic Hierarchy Process(IFAHP)is applied to calculate the index weights in a scientifically rigorous manner.Suitability indices are calculated using fuzzy membership functions and weighted linear combination(WLC),and multiple constraint conditions are applied to exclude non-compliant areas.On this basis,a maximal covering model is used to optimize facility layout and improve service coverage efficiency.The results indicate that suitable land for new facilities is mainly concentrated in the southwestern region,with the F8 site in Fengtai District identified as the optimal location.By adding a resource utilization facility,the service coverage rate increases from 57％to 97％,while annual transportation costs and carbon emissions are significantly reduced.The study provides theoretical support and practical reference for the scientific planning of urban construction waste disposal facilities.关键词
建筑垃圾/GIS-MCDA/设施选址/直觉模糊层次分析法/最大覆盖模型Key words
construction waste/GIS-MCDA/facility site selection/intuitionistic fuzzy analytic hierarchy process(IFAHP)/maximal covering model分类
资源环境引用本文复制引用
赵天伟,刘扬,罗金楠,苗志伟..基于GIS-MCDA的建筑垃圾资源化处置设施选址研究[J].北京建筑大学学报,2025,41(4):84-94,11.基金项目
国家自然科学基金项目(42271478) （42271478）
北京建筑大学骨干计划研究基金项目(X24027). （X24027）
