As urban environments are increasingly complex due to rapid urbanization, it is essential to integrate advanced geospatial technologies into the frameworks of smart cities. The chapter examines the fundamental role of geospatial technologies such as Geographic Information Systems (GIS), Remote Sensing, Global Positioning Systems (GPS), and Spatial Analysis in the restructuring of urban governance, infrastructure, and sustainability. The discussion focuses on how these innovations improve decision-making, improve urban services, and strengthen climate resilience through real-time monitoring and predictive modeling. The key applications include intelligent mobility, environmental management, disaster response, resource optimization, and participatory urban planning. In addition, the study examines the convergence of geospatial tools with emerging technologies such as artificial intelligence (AI), big data analysis, and the Internet of Things (IoT) and demonstrates its transformative impact on urban resilience and operational efficiency. Case studies in the real world show how geospatial intelligence facilitates data-based policy formulation and interdisciplinary cooperation in urban planning, governance, and environmental science. By combining technological advances with social needs, geospatial innovations play a crucial role in promoting smarter, more sustainable, and more inclusive cities. This chapter provides a framework for understanding the widest application of geospatial technology in shaping the future of urban development.

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Geospatial Technology in the Smart City Paradigm

  • Uznir Ujang,
  • Ram Narayan Yadava

摘要

As urban environments are increasingly complex due to rapid urbanization, it is essential to integrate advanced geospatial technologies into the frameworks of smart cities. The chapter examines the fundamental role of geospatial technologies such as Geographic Information Systems (GIS), Remote Sensing, Global Positioning Systems (GPS), and Spatial Analysis in the restructuring of urban governance, infrastructure, and sustainability. The discussion focuses on how these innovations improve decision-making, improve urban services, and strengthen climate resilience through real-time monitoring and predictive modeling. The key applications include intelligent mobility, environmental management, disaster response, resource optimization, and participatory urban planning. In addition, the study examines the convergence of geospatial tools with emerging technologies such as artificial intelligence (AI), big data analysis, and the Internet of Things (IoT) and demonstrates its transformative impact on urban resilience and operational efficiency. Case studies in the real world show how geospatial intelligence facilitates data-based policy formulation and interdisciplinary cooperation in urban planning, governance, and environmental science. By combining technological advances with social needs, geospatial innovations play a crucial role in promoting smarter, more sustainable, and more inclusive cities. This chapter provides a framework for understanding the widest application of geospatial technology in shaping the future of urban development.