| Abstract |
Smart city planning has emerged as a critical field in urban development, aiming to create sustainable, efficient, and livable urban environments. In this paper, we present a novel approach to smart city planning that integrates renewable energy strategies, environmental impact assessments, cost efficiency evaluations, and aesthetic impact analyses. Leveraging the advanced capabilities of Digital Twin technology, our approach provides a dynamic and real -time simulation environment for urban planners. We conducted comprehensive analyses, identifying locations with reduced carbon emissions, optimizing resource allocation for cost efficiency, and enhancing aesthetic appeal for community satisfaction. Our results highlight the effectiveness of our approach in creating environmentally sustainable, economically efficient, and aesthetically pleasing urban spaces. By utilizing Digital Twin technology, we achieved precise modeling and data -driven decision-making, making our approach adaptable to evolving urban landscapes. This research contributes to the advancement of smart city planning methodologies and offers valuable insights for urban planners, policymakers, and researchers. Our work stands as a beacon for innovative, data -driven urban development in the face of rapid urbanization and environmental challenges. |