An alternative model for measuring the sustainability of urban regeneration: the way forward

Abstract

The increasing awareness of the need to improve built environments in declined urban areas worldwide has raised the popularity of urban regeneration as a research topic. Various tools, such as questionnaire surveys, analytic hierarchy process, and fuzzy set theory, have been developed to measure the sustainability of urban regeneration and ensure that it follows the principles of sustainable development. However, these studies, which rely on the indicator system, assume that urban regeneration is a static and isolated state during the assessment process. Hence, this study aims to provide an alternative model for measuring sustainability of urban regeneration. Fuzzy set theory and Monte Carlo simulation were introduced to solicit critical measurement indicators that would lay a unified basis for comparison. Entropy method was also used to determine the weights of relevant critical measurement indicators to avoid subjective judgment. A general decision-making framework for dynamic monitoring of urban regeneration was developed based on the dynamic change of sustainability of urban regeneration (Vk) and urgency of urban regeneration (Uk). Four scenarios were discussed based on the four quadrants generated by Vk and Uk. Therefore, sustainable urban regeneration can be identified and compared through the Vk–Uk coordinate system, and the best practices of urban regeneration can be determined for global promotion. This model has the advantages to process the fuzzy and subjective nature in indicator assessment of sustainability of urban regeneration, which is an improvement compared with existing studies. As well, the decision-making framework could assist policy-makers in determining the sustainability of an ongoing urban regeneration as well in performing a dynamic and long-term monitoring of the process.