In the rapidly evolving landscape of smart cities, a groundbreaking study led by H. K. Sevinç from the Vocational School of Information Technologies at Karabuk University in Turkiye is shedding light on the transformative potential of GeoAI—geospatial artificial intelligence. Published in *The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences* (translated as *International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences*), this systematic review explores how GeoAI is revolutionizing urban environments, with significant implications for the energy sector and beyond.
Sevinç’s research focuses on the integration of AI with geospatial data, a fusion that has become a cornerstone of smart city initiatives. By leveraging geographic information systems (GIS) and AI, GeoAI processes and analyzes spatial data to inform decisions across various domains, including urban planning, public health, transportation management, and environmental monitoring. The study specifically examines applications in smart transportation systems, 3D building models and indoor navigation, open data platforms, and web-based interactive data visualization.
One of the most compelling aspects of this research is its potential to enhance transportation systems. “GeoAI enables real-time traffic management, predictive maintenance of infrastructure, and optimized routing, which can significantly reduce congestion and energy consumption,” Sevinç explains. For the energy sector, this translates to more efficient logistics and reduced operational costs, as well as a lower carbon footprint.
The study also highlights the role of 3D building models and indoor navigation in creating smarter, more energy-efficient buildings. By integrating AI with geospatial data, urban planners and developers can design structures that are not only more functional but also more sustainable. “This technology allows us to simulate and optimize building designs for energy efficiency, reducing the need for costly retrofits and improving overall sustainability,” Sevinç notes.
Open data platforms and web-based interactive data visualization are other key areas where GeoAI is making waves. These tools enable stakeholders to access and analyze vast amounts of spatial data, fostering collaboration and informed decision-making. For the energy sector, this means better resource allocation, improved grid management, and more effective disaster response.
As cities continue to grow and evolve, the insights from Sevinç’s research could shape the future of urban development. By harnessing the power of GeoAI, we can create more efficient, sustainable, and liveable urban environments, ultimately benefiting both the economy and the planet.
The study, published in *The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences*, serves as a critical resource for professionals in the construction and energy sectors, offering a roadmap for leveraging GeoAI to drive innovation and sustainability. As Sevinç’s work demonstrates, the future of smart cities is not just about technology—it’s about using that technology to build a better world.