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@article{188438,
        author = {Viraj P. Tathavadekar and Dr. Nitin R. Mahankale},
        title = {Scalable Performance-Metric Suite for Climate-Adaptive Urban Digital Twins with Supply-Chain Feedback Loops},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {2134-2144},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=188438},
        abstract = {Urban digital twins (UDTs) have emerged as critical infrastructure for climate adaptation strategies, yet existing frameworks lack comprehensive performance metrics that integrate supply-chain dynamics and scalability considerations. This research presents a novel scalable performance-metric suite that addresses the integration gap between climate-adaptive urban systems and supply-chain feedback mechanisms. Through a mixed-methods approach combining systematic literature analysis, performance modeling, and empirical validation using synthetic data spanning 2025-2050, we develop a comprehensive framework incorporating 47 key performance indicators across five dimensions: climate resilience, supply-chain efficiency, urban sustainability, system scalability, and stakeholder satisfaction. Our findings demonstrate that integrated climate-supply chain metrics improve urban adaptation decision-making by 34.7% while reducing resource allocation inefficiencies by 28.3%. The proposed framework successfully handles urban populations ranging from 100,000 to 10 million inhabitants with consistent performance accuracy above 92%. This research contributes to the growing body of knowledge on smart city development by providing practitioners and policymakers with a validated tool for climate-adaptive urban planning.},
        keywords = {Urban Digital Twins, Climate Adaptation, Supply Chain Management, Performance Metrics, Smart Cities, Sustainability},
        month = {December},
        }