Geographical Twin and Spatiotemporal Artificial Intelligence Technology Empowering High-Quality Urban Development
Journal: Architecture Engineering and Science DOI: 10.32629/aes.v6i4.4623
Abstract
With the rapid advancement of urbanization, the complexity of urban systems has become increasingly prominent, and traditional governance models face severe challenges. As a concrete expression of digital twin technology in urban space, the geographical twin, when integrated with spatiotemporal artificial intelligence (AI) technology, is reshaping urban governance models. Based on this, this paper explores the technical applications of geographical twins and spatiotemporal AI in data integration, pattern mining, and predictive simulation, starting from the three-dimensional spatial modeling and dynamic sensing capabilities of geographical twins. It analyzes the application mechanisms of this technological system in urban planning, traffic governance, environmental monitoring, and public safety scenarios. The study shows that geographical twins and spatiotemporal AI, by constructing a "perception–cognition–decision–regulation–monitoring" closed loop, achieve precise mapping, intelligent diagnosis, and dynamic optimization of complex urban systems, providing technological support for high-quality urban development.
Keywords
geographical twin; spatiotemporal artificial intelligence technology; high-quality urban development
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[8] Zhao, Y., & Fang, W. Impact of Innovative Urban Pilot Policies on High-Quality Urban Development [J]. Statistics and Decision, 2023, 39(22):178-182.
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