DIGITAL TWIN TECHNOLOGIES IN URBAN PLANNING: INTEGRATING GIS, DATA ANALYTICS, AND SIMULATION MODELING

Abstract

Digital Twin (DT) technologies have emerged as transformative tools in modern urban planning, enabling real-time data integration, advanced simulation modeling, and predictive analytics. This study explores the integration of Geographic Information Systems (GIS), data analytics, and simulation frameworks in building dynamic, responsive digital twins for urban environments. By assessing case studies, implementation frameworks, and technology stacks, the paper highlights the effectiveness of DTs in addressing urban challenges such as traffic congestion, environmental monitoring, infrastructure maintenance, and spatial development. A comprehensive analysis of Pakistani urban centers is conducted, evaluating digital readiness and barriers to DT adoption. The findings underscore the critical role of interdisciplinary coordination, public-private partnerships, and robust ICT infrastructure in fostering intelligent urban development