Research on the Role of Digital Intelligence in Empowering Smart Communities to Promote Better Living Environments

Abstract

Amid the global wave of urbanization and digital transformation, smart communities, as a crucial component of smart city development, are experiencing unprecedented growth opportunities. However, current smart community initiatives primarily focus on technological applications and efficiency improvements, often neglecting the enhancement of residents’ quality of life and overall well-being, making it challenging to achieve the ultimate goal of "better living environments." This study explores the role of digital intelligence in empowering smart communities to promote better living environments. By constructing a multi-level interactive development mechanism centered on residents’ happiness, this study systematically integrates four key dimensions: physical and digital infrastructure, economic governance, social services, and ecological environment. A closed-loop feedback model incorporating strategic objectives, foundational support, and core structural components is proposed. The research findings indicate that the application of advanced technologies such as big data, cloud computing, the Internet of Things (IoT), and artificial intelligence (AI) not only optimizes community resource allocation and public service efficiency but also enables real-time environmental quality monitoring and regulation through smart monitoring, green ecological design, and digital management, so as to create a safe, healthy, low-carbon and livable living space for residents. This study provides a novel theoretical perspective and practical pathway for smart community development and ofers scientific insights and policy recommendations for governments and community managers in advancing digital transformation, enhancing residents’ well-being, and achieving sustainable development. Although this study has certain limitations in sample size and the alignment of technological demands, future research will expand empirical investigations and explore long-term mechanisms for cross-disciplinary collaborative innovation.