Smart home energy technology has been verified to be successful for energy reduction in the residential sector. However, the current penetration rate of smart home energy technology is at a low level. Considering the factors of economy, policy, and demographics, Guangdong Province in China is a suitable region as an exemplary case to promote smart home energy technology through the urban residents. Therefore, using Guangdong as the targeting area, this research examined the factors influencing residents’ intention to adopt smart home energy technology. A theoretical model based on the theory of planned behavior and Norm Activation Model theory was developed, with special consideration of the complex technical features. A questionnaire survey was performed in Guangdong Province and the data was analyzed by PLS-SEM. The analysis results indicated that residents’ attitude towards technical performance, social norm, perceived behavioral control, and personal norm all have positive influence on the adoption intention, of which, attitude towards technical performance had the strongest effect. On the other hand, the attitude towards economic performance was found not to lead adoption intention. To explain this consequence, the discussion based on behavioral economics was proposed.

Human-building interaction is an emerging field of study that investigates the interactions and reciprocal impacts of humans and building systems. In this discipline, sensing technology is critical for data collection. The application of sensing technology is divided into six categories based on the research topics: (1) occupancy status, (2) occupant physiological indicators, (3) building components, (4) building environment, (5) building consumption, and (6) fusion of multi-sensing system. By evaluating 127 relevant research articles, this study attempts to provide a systematic review of the implementation of sensing technologies in each HBI research topic. Four significant sensing technologies were investigated for the occupancy status study: camera-based sensing, infrared-based sensing, radial frequency signal-based sensing, and ultrasonic sensor. Methodologies for biosensing brain activity, muscle and skin function, and cardiac function were examined as occupant physiological indicator measurements. The magnetic reed and vibration sensors were discussed for sensing changes in building components. The air property sensor, sound sensor, and illuminance sensor were introduced to monitor the building environment. The smart meter and smart plug were examined for sensing building consumption, and the application of multi-sensor fusion was also included in this article. Furthermore, this systematic study discussed three aspects of contemporary sensing technology deployment: data concealment, sensor cost tradeoffs, and privacy concerns.

Landscape engineering plays a crucial role in urban construction and the development of ecological civilization in China. It actively designs and modifies natural elements, such as water and mountains, acting as the primary living infrastructure. This field continually receives great recognition and praise. Recent academic research has prioritized the use of extended reality (XR) technology to create a real-time interactive visual environment to tackle the issues presented by the dynamic nature of landscape engineering. This paper utilizes the PRISMA method to filter out 68 research documents related to XR in landscape engineering construction and management for bibliometric analysis. A comprehensive review is conducted on the precise and efficient utilization of XR to solve various issues in the field of landscape engineering. Using Cite Space 6.2.R6 (a visual bibliometric software) to visualize knowledge structures and research topics, the analysis includes temporal and spatial examination, application scenario analysis, and technological hierarchy analysis. The paper summarizes the current challenges that XR still faces in the landscape engineering field and envisions extensible application scenarios for XR, providing a reference roadmap for the implementation of XR in landscape engineering.

The operation and maintenance phase of established large gymnasiums lacks a holistic evaluation system and a dynamic evaluation method, which makes it difficult to reflect the overall performance and ...