Integrating AI, Data Analytics, and Policy Insights for Sustainable Urban and Economic Development
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Abstract
Sustainable urban and economic development increasingly relies on the integration of artificial intelligence (AI), data analytics, and policy insights. This paper provides a comprehensive review of the conceptual frameworks, technological applications, and governance models that enable cities to achieve efficiency, resilience, and environmental sustainability. We examine the interdependence between urban systems and economic systems, the role of multimodal data and AI-driven analytics in mobility, energy, and infrastructure management, and the transformative potential of digital twins for real-time simulation and risk reduction. Furthermore, we discuss data-driven economic strategies, industrial transformation, and policy frameworks that align technological innovation with ethical, social, and institutional considerations. The study concludes by highlighting key challenges, future research directions, and the necessity of holistic governance to ensure equitable, adaptive, and sustainable urban and economic development.
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