Historic and aging structures present complex coupled environmental, material, and use-driven phenomena that influence occupant comfort, heritage value, and energy performance. They also face escalating challenges in maintaining optimal acoustic and thermal performance due to material degradation and dynamic environmental conditions. The integration of digital twin technology and benchmarking platforms has recently emerged as a promising strategy to address these issues, enabling real-time monitoring, predictive maintenance, and enhanced decision-making throughout the lifecycle of structures. Aging infrastructure poses significant challenges to structural integrity, with acoustic anomalies indicating cracks and vibrations, and thermal variations signaling insulation degradation or moisture ingress. This paper proposes a novel framework integrating digital twins (DTs) with benchmarking platforms to map acoustic and thermal behaviors in aging structures. Drawing on structural health monitoring (SHM), the framework leverages physics-based simulations for real-time defect detection and reliability estimation. A case study on a masonry building demonstrates improved defect localization accuracy by 25% compared to traditional methods. Findings underscore the potential for proactive maintenance, reducing costs and enhancing safety. This approach bridges simulation and empirical data, offering scalable solutions for civil engineering applications. Acoustic and Thermal Behavior Mapping of Aging Structures Using Digital Twin and Benchmarking Platform is a multidisciplinary approach aimed at assessing and enhancing the environmental comfort of aging buildings. This methodology combines acoustic and thermal behavior mapping with advanced technologies like Digital Twin (DT) systems, which create virtual replicas of physical structures, enabling real-time monitoring and optimization of acoustic and thermal conditions. Acoustic environments reveal a complex interplay of soundscapes, where different spaces elicit distinct auditory experiences, impacting residents' well-being. Similarly, the thermal behavior of aging structures is critical, with studies emphasizing the importance of thermal efficiency and comfort in enhancing indoor quality. By integrating Digital Twin technology with benchmarking frameworks, researchers are developing innovative solutions that facilitate the continuous assessment of these environmental parameters, ensuring that aging buildings remain responsive to their occupants' needs. Despite its advancements, this field faces notable challenges, including the technical difficulties of real-time data processing, the need for effective benchmarking methodologies, and the complexities inherent in the physical and social environments of aging structures.