원문정보
초록
영어
This study explores the significance of AI-driven smart cities and their geopolitical implications, focusing on efficient smart economies, social and environmental connectivity, and sustainability. France is leading in AI development and adoption within Europe, possessing the necessary infrastructure and technology for smart city implementation, yet it must address social inequality and the digital divide. Japan is leveraging AI for smart city development to tackle its aging population, excelling in technology innovation and infrastructure, but it faces challenges in social acceptance and data privacy. Ireland, as a European hub for major IT companies, is well-positioned for AI smart city construction, though it must overcome issues like housing shortages and infrastructure expansion. The Netherlands must address social conflicts and housing shortages caused by high population density and increasing immigration. For successful AI smart city development, it is crucial to integrate immigrants, expand housing, and create economic opportunities. South Korea's major platforms like Naver and Kakao, are poised to play a central role in the AI smart city era, leveraging their vast data analytics capabilities, robust telecommunications infrastructure, and strong user base to enhance global competitiveness.
목차
1. Introduction
2. Prior studies
2.1 Power and Finance in AI-Centered Cities
2.2 The Need for Urban AI-Based Systems
3. Research Design
3.1 Analysis of Changing the Urban Sharing Platform (Community Personalization) Structure
3.2 AI-Powered Selective Cities in the United States
3.3 Geopolitical Conformity and Urban Development by AI coupling
3.4 Globalization of Cities: Issues in European Shared Mobility Systems (France)
3.5 Immigration and Social Integration Issues in the Dutch Smart City Context
3.6 Geopolitical Importance of AI SNS Platforms (Naver's Challenges: The Line-Yahoo Situation)
3.7 Solving AI-Based Problems in Taiwan's Urban Social Structure
3.8 Ireland’s Case Study on Discrepancy Between GDP and Actual Income
4. Empirical analysis
4.1 Lasso regression analysis
4.2 Path analysis
5. Conclusion
References
