Smart Urban Open Space Planning in Malé City: Integrating AI Tools for Future Resilience

Abstract

As island nations like the Maldives confront increasing urbanization, land scarcity, and climate vulnerability, the need for intelligent and adaptive planning becomes critical. This paper explores how Artificial Intelligence (AI) tools can be integrated into the redesign and planning of urban open spaces in Malé City to enhance resilience, sustainability, and livability. The research proposes a smart planning framework that utilizes AI-driven geospatial analysis, machine learning algorithms, and predictive modeling to assess current urban space performance, simulate future scenarios, and support data-informed design decisions. By analyzing spatial patterns, environmental data, and community needs, the study demonstrates how AI can optimize the distribution, functionality, and climate responsiveness of open spaces in high-density coastal environments. The framework is tested using real-world data from Malé City, offering scalable insights for policy-makers, planners, and urban designers working in climate-sensitive contexts. The findings highlight the potential of AI to bridge the gap between sustainable design and smart technology, paving the way for resilient urban futures in small island developing states