Author(s)

Yuchun Wang, Xiangcheng Li, Heng Ma

Corresponding Author

Yuchun Wang

Abstract

Urban renewal and relocation of residents from aging districts are central to sustainable urban development. This study presents a comprehensive, data-driven framework for optimizing resident relocation and urban renewal in old urban districts. Based on a hierarchical dataset comprising 484 land parcels within 107 courtyards, the research proposes a multi-model approach. This includes a relocation acceptance model using the Entropy-TOPSIS method to assess resident compatibility with available plots, an integer linear programming model to optimize courtyard-level clearance decisions under budget constraints, and a cost-benefit analysis incorporating spatial synergy to evaluate the economic feasibility of phased redevelopment. A multi-objective optimization framework is further developed by integrating resident satisfaction, spatial release, economic returns, and adjacency synergy into a unified decision-making model using weighted sum and µ-constraint methods. Experimental results demonstrate the effectiveness of the proposed methods in maximizing acceptance scores, optimizing land use efficiency, and improving the financial sustainability of renewal strategies. The framework offers practical insights for policymakers aiming to balance social equity and economic efficiency in large-scale urban regeneration initiatives.

Keywords

Urban Renewal, Relocation Strategy, Multi-Objective Optimization, Resident Acceptance, Entropy-Topsis