To address climate challenges, sustainable adaptive reuse of industrial heritage sites and their impact on reducing the carbon footprint can be considered an influential alternative. Therefore, this article aims to develop a futuristic vision sustainability assessment tool for industrial heritage sites, considering their historical and unique values.
In total, 47 indicators in 7 sustainability criteria were identified with a comprehensive perspective. Then, experts' opinions were sought via a questionnaire through the Future Design method. Next, to eliminate the uncertainties, the indicators were weighted through three methods of the multi-criteria decision-making by fuzzy logic with Python language programming to handle extensive data and customize some fuzzy steps.
The results show that safety and security measures, including fire safety and security, hold the greatest weight. The environmental indicators, including water management, local environmental impact, life cycle assessment and sustainable resources, are the next priority issues. Moreover, socio-cultural aspects with energy efficiency indicators and user comfort are primary concerns. Then, an adaptively reused industrial heritage was assessed by the proposed tool, comparing it with the DGNB certification. The comparison demonstrated a notable difference in weight and characteristics of indicators, suggesting a potential need for a distinct certificate for industrial heritage sites.
This study provides a dependable reference for policymakers and cultural heritage experts for the sustainable assessment of industrial heritage sites. Moreover, the presented tool can be applied for the assessment of industrial heritage sites in other countries by utilizing the localization method proposed in this article.
