Multiple-attribute decision-making method for evaluating sustainability performance of area-wide coordinated urban regeneration in resource-constrained cities

This research aims to propose a comprehensive evaluation framework that can assess the sustainability performance of the area-wide coordinated urban regeneration (ACUR). The ACUR has been widely advocated as an important strategy to address the challenges of traditional single-project regeneration in many cities. However, the decision-making process for ACUR may lead to risk of poor sustainability, such as difficulties in maintaining financial balance, gentrification, and public resistance. These challenges have become increasingly prominent in the urban regeneration process of resource-constrained cities. Hence, it is of great significance to prevent unsustainable decision-making outcomes in the ACUR. Previous studies have overlooked the problem of poor sustainability of ACUR. To address this gap, this paper developed a set of indicator system for evaluating the sustainability performance of ACUR. Through literature review and Delphi method, critical indicators facilitating ACUR have been detected. Subsequently, a hybrid multi-attribute decision-making (MADM) approach combining C-OWA operator, entropy method, and grey clustering analysis was presented for the evaluation of sustainability performance. Finally, Chaoyang ACUR in Yancheng was selected as a typical case of resource-constrained urban context to apply and examine the effectiveness of this method, and further explore improvement countermeasures. This study provides a new perspective on how to scientifically evaluate the sustainability performance of ACUR, and offers practical guidance for urban planners and policymakers to improve decision-making in resource-constrained cities.