Acoustic performance is an important component of interior environmental quality, yet conventional single-value reverberation time metrics may provide limited perceptual information because they do not explicitly account for the spectral energy distribution of the evaluated sound. This study proposes an energy-weighted single-value reverberation time metric, Tew, which integrates frequency-dependent reverberation time with the relative contribution of received sound energy across frequency bands, providing a sound energy metric for building-acoustic assessment. Tew was evaluated using measured room-acoustic data under controlled laboratory conditions and in eight practical rooms, followed by a listening experiment involving 100 participants. Regression analyses and linear mixed-effects models showed that Tew was positively associated with perceived reverberance. Tew showed greater explanatory power and a better model fit than Tmf, whereas its performance was comparable to Tavg. The energy-weighting principle was further applied in a practical room-renovation project to identify frequency-dependent acoustic deficiencies and guide targeted acoustic treatment. The results demonstrate the potential of Tew to provide additional perceptually relevant information for assessing acoustic performance in interior spaces and to support frequency-aware acoustic treatment decisions. The practical renovation case further demonstrates the feasibility of integrating Tew and its underlying energy-weighting principle into building-acoustic assessment and treatment workflows, providing a link between sound-source characteristics, room-acoustic diagnosis, and targeted acoustic intervention.

Emergency Medical Services (EMS) personnel require exceptional spatial awareness and rapid decision-making within the confined environment of an ambulance. While Virtual Reality (VR) offers a safe alternative to traditional training, the lack of high-fidelity, regionally accurate, and VR-optimized 3D ambulance models limits its application. This study presents a scenario-driven methodology for developing a VR-ready 3D ambulance environment prototype tailored for Emergency Medical Technician (EMT) training. Utilizing reality-capture techniques, terrestrial laser scanning was performed to accurately document the interior of a standard Hungarian ambulance simulator. The resulting point cloud underwent systematic processing, manual retopology, PBR shading, and the implementation of a custom dual-rigging animation system to optimize complex mechanical movements—such as stretcher operations—for standalone VR platforms. The workflow successfully reduced the vertex count to 25,373 while maintaining millimeter-level spatial fidelity. Technical evaluation confirmed that geometrical, functional, and material objectives were fulfilled, whereas pedagogical implementation remains incomplete. Structural accuracy and animation readiness were verified through preliminary inspection within Blender’s VR viewport inspector. However, interactive game-engine integration remains future work, and educational effectiveness has not yet been tested with EMT learners. Overall, this workflow delivers a 3D asset foundation that establishes the necessary technical basis for subsequent software implementation and clinical evaluation.

The Architecture, Engineering, and Construction (AEC) sector is diverse. The industry’s market is run by businesses of different sizes, specialties, and subordinations, and each active company indirectly participates in adding value to the sector. This paper focuses on the functional distribution of local AEC firms in Southern Hungary, mainly in the South Transdanubia region. The work systematically gathers data about multidisciplinary AEC firms based in the region, introduces the main activities of the collected companies, and reveals the potential AEC divisions, by analyzing the popularity, net revenue, and number of employee factors for each professional division within the industry at the studied region.