In recent years, it has become critical to promote urban redevelopment and maximize the potentiality of industrial heritage through adaptive reuse. Research on the assessment of adaptive reuse potentiality helps to make scientific decisions in sustainable development and the strategy for utilizing industrial heritage. The purpose of this paper is to provide a comprehensive overview of the research on the potentiality of buildings or sites. It also constructs a system for the assessment of adaptive reuse potentiality in industrial heritage and describes the characteristics of different dimensions in the indicators of potentiality evaluation. Utilizing the Improved Entropy Technique for Ordering Preferences by Similarity to the Ideal Solution (Improved Entropy TOPSIS), the relative values of the reuse potentiality of each hierarchical evaluation index are calculated, and an adaptive reuse potentiality ranking of various industrial parks is determined. Through the calculation and analysis, it is demonstrated that the application of this quantitative method to the industrial heritage potentiality evaluation system is highly applicable. This paper’s research framework for adaptive reuse potentiality and empirical findings provides targeted recommendations for determining the reuse potentiality and potential hierarchy of industrial heritage, identifying buildings with a high potential for reuse, and developing adaptive reuse strategies to better direct industrial heritage in urban regeneration.
The renovation and utilization of industrial heritage are important issues in the field of sustainable urban renewal. The renovation of industrial heritage is influenced by various factors such as the value of a heritage site, its location, the positioning of renovation, and the cost of renovation. Most existing studies focus on the concept of renovation and the establishment of heritage management techniques. However, a low cost in the context of urban sustainability has a greater impact on renovation. Therefore, this paper takes Beijing Xinhua 1949 Cultural and Creative Industrial Park as an example, incorporates the cost–benefit ratio into the plans for a low-cost construction, and proposes a method to evaluate the performance of holistic low-cost construction during the whole life cycle of industrial heritage renovation and utilization. This study uses the AHP method to create an evaluation index system and fuzzy TOPSIS(FTOPSIS) to rank the solutions so as to establish a comprehensive evaluation system to thus evaluate industrial heritage renovation projects that are difficult to fully quantify, with the aim to obtain performance evaluation conclusions. The results of this study suggest that the definition of a low-cost renovation should not be limited to a reduction in investment costs but should also pay equal attention to the cost–benefit ratio before and after renovation, and that functional and spatial sustainability is another feasible strategy for achieving the sustainable renovation of industrial heritage.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.