This study adopted an extended theory of planned behavior to understand how risk perception affected disaster preparedness behavior. An intercept survey (N = 286) was conducted at a typhoon-prone district of Hong Kong, China in 2019, then the data were analyzed using structural equation modeling. The results indicated that risk perception and intention of preparedness were predictors of disaster preparedness behavior. Risk perception significantly affected intention of preparedness and the effect was partially mediated by subjective norm. Risk perception also significantly affected attitude and perceived behavioral control, but attitude and perceived behavioral control were not significantly correlated with intention of preparedness. Not only may this study supplement the existing literature of disaster preparedness toward typhoons, but also it provides insights for the planning and management of natural hazards and disaster risk reduction in Hong Kong.

Population growth and urbanization have resulted in the emergence of mega cities in recent decades. While compact urban fabrics and high residential density imply intensive interactions between man and environment, the living environment may be one of the most important factors affecting quality of life (QOL) of city dwellers. With this in mind, this paper seeks to understand the manners in which the residents relate themselves to the places they live and how they derive neighborhood and QOL, in such way that the relationship between living environment and QOL can be understood. A random telephone survey (N = 1,114) was conducted in Hong Kong. Results showed that different levels of neighborhood satisfaction varied in residents of different housing types and living environment was a significant predictor of resident’s QOL. Other than the architecture of housing, this paper highlights the importance of services and facilities for the development of social relations and community building. This paper may supplement to the Western QOL studies and provide reference for urban planning initiatives for Asian cities.

The rapid emergence of generative AI technologies has sparked significant transformation across educational landscapes worldwide. This study presents a comprehensive bibliometric analysis of GAI in education, mapping scholarly trends from 2022 to 2025. Drawing on 3808 peer-reviewed journal articles indexed in Scopus, the analysis reveals exponential growth in publications, with dominant contributions from the United States, China, and Hong Kong. Using VOSviewer, the study identifies six major thematic clusters, including GAI in higher education, ethics, technological foundations, writing support, and assessment. Prominent tools, especially ChatGPT, are shown to influence pedagogical design, academic integrity, and learner engagement. The study highlights interdisciplinary integration, regional research ecosystems, and evolving keyword patterns reflecting the field’s transition from tool-based inquiry to learner-centered concerns. This review offers strategic insights for educators, researchers, and policymakers navigating AI’s transformative role in education.