Submission Deadline: 30 September 2025 View: 133 Submit to Special Issue
Assoc. Prof. Chih-Chieh Hung
Email: smalloshin@nchu.edu.tw
Affiliation: Department of Management Information Systems, National Chung Hsing University, Taichung, 402202, Taiwan
Research Interests: Data Mining, Intelligent Transportation Systems, Spatiotemporal Database, Trajectory Analysis, Artificial Intelligence
Prof. Jen-Wei Huang
Email: jwhuang@mail.ncku.edu.tw
Affiliation: Department of Electrical Engineering, National Cheng Kung University, Tainan City, 701401, Taiwan
Research Interests: Data Mining & Database, Social Network Analysis, Spatial Temporal Data Mining, Multimedia Information Retrieval, FinTech, Bioinformatics
The growing challenges of urbanization—from resource management to environmental sustainability—demand innovative, technology-driven solutions in city planning and governance. This research area is crucial as it explores how Generative AI can transform smart city ecosystems by generating actionable insights, optimizing urban infrastructures, and fostering adaptive, resilient communities while addressing ethical and security concerns.
The aim of this Special Issue is to explore how Generative AI can revolutionize smart city development, operations, and citizen interactions. It provides a comprehensive platform for discussing theoretical foundations and technological advancements in AI-driven urban innovation. Topics include infrastructure design, energy management, transportation, public safety, and personalized citizen services. The issue also addresses ethical, societal, and governance challenges while fostering interdisciplinary collaboration among researchers, urban planners, policymakers, and technologists. Contributions from academia, industry, and government are encouraged to offer a holistic perspective on transforming urban ecosystems with Generative AI.
Suggested Themes
· Generative AI for Smart Cities: Exploring unique capabilities and transformative applications in urban environments.
· Comparative Analysis of AI Approaches: Evaluating the advantages and limitations of Generative AI versus traditional AI methods in city applications.
· Societal Impacts of Generative AI Deployments: Examining how Generative AI influences community dynamics, accessibility, and inclusivity.
· Urban Planning and Sustainable Design: Leveraging AI for infrastructure modeling, 3D visualizations, and resilient urban development.
· Transportation, Mobility, and Public Safety: Innovating traffic management, transit optimization, and emergency response systems.
· Environmental Sustainability and Energy Management: Applying AI in climate adaptation, pollution control, and efficient resource utilization.
· Case Studies and Future Trends
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