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Foundations of Predictive Spatial Data Management in Smart Cities
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Author(s): Munir Ahmad (Survey of Pakistan, Pakistan), Arifur Rahman (International American University, USA), Bivash Ranjan Chowdhury (International American University, USA)and Hossain Mohammad Dalim (International American University, USA)
Copyright: 2026
Pages: 24
Source title:
AI-Based Data Mobility and Intelligent Modeling for Smart Cities
Source Author(s)/Editor(s): Sultan Ahmad (Prince Sattam Bin Abdulaziz University, Saudi Arabia), Sudan Jha (Kathmandu University, Nepal)and Md Alimul Haque (Veer Kunwar Singh University, India)
DOI: 10.4018/979-8-3373-4202-3.ch005
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Abstract
Predictive spatial data management is a transformative approach enabling smart cities to transition from reactive governance to proactive, data-driven decision-making. By integrating GIS, IoT, cloud computing, and machine learning, cities can optimize infrastructure, enhance mobility, improve environmental sustainability, and deliver citizen-centric services. Despite technical, ethical, and organizational challenges, emerging trends such as AI-driven autonomous services, advanced spatial analytics, and adaptive infrastructure promise more precise, resilient, and responsive urban systems. This chapter outlines foundational principles, technological enablers, predictive modeling approaches, and practical strategies to operationalize spatial intelligence for sustainable urban development.
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