*Article* **Assessment of the Adaptive Reuse Potentiality of Industrial Heritage Based on Improved Entropy TOPSIS Method from the Perspective of Urban Regeneration**

**Fanlei Meng \*, Yeqing Zhi and Yuxiang Pang**

School of Architecture and Urban Planning, Beijing University of Civil Engineering and Architecture, Beijing 100044, China; 2108510021086@stu.bucea.edu.cn (Y.Z.); 2108510021016@stu.bucea.edu.cn (Y.P.) **\*** Correspondence: mengfanlei@bucea.edu.cn

**Abstract:** 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.

**Keywords:** industrial heritage; adaptive reuse potentiality; improved entropy; technique for ordering preferences by similarity to the ideal solution; urban regeneration
