Urban Regeneration Potential Land Evaluation Based on GIS and MCDA: A Case Study of London

Abstract

In the context of housing shortages, a fragile transportation system, stagnant productivity growth, and unequal community development, the spatial optimization of urban renewal in London faces unprecedented pressure. This study constructs a potential evaluation model based on GIS spatial analysis and Multi-Criteria Decision Analysis (MCDA), using natural, economic, and social dimensions as the criterion layer, and six factors including elevation, slope, environment (forests and water sources), building density, transportation, and infrastructure (education and healthcare) as the indicator layer. The final weights of each factor are determined through the Analytic Hierarchy Process (AHP) and the entropy weight method. The results evaluate the potential land for urban renewal in London. The evaluation is divided into five levels, among which high-potential areas account for approximately 5.75 percent of the total urban area and show a fragmented spatial distribution, providing important references for the spatial layout and site selection of future urban renewal in London.