This article presents a decision support system using the Analytic Hierarchy Process (AHP) to prioritize interventions in sustainable infrastructure development. As global urbanization accelerates and environmental concerns intensify, the need for resilient and sustainable infrastructure becomes essential. However, selecting and prioritizing interventions requires a systematic, data-driven approach to ensure effective resource allocation and long-term sustainability. The primary objective of this study is to fill a gap in current literature by presenting a structured methodology for prioritizing sustainable infrastructure projects. By applying the AHP framework, the research develops a decision model that evaluates critical factors, considering the complexity and interdependencies of relevant criteria. The findings emphasize the importance of hydrological risk, environmental impact, economic feasibility, social impact, sustainability, resilience, land use and urban planning as key criteria in the prioritization process. Incorporating these factors allows decision-makers to allocate resources strategically, maximizing societal benefits, minimizing environmental degradation, and enhancing urban resilience against climate change and natural hazards. This study improves the efficiency of infrastructure intervention prioritization and provides valuable insights for policymakers, urban planners, and sustainability professionals working to develop more resilient, environmentally responsible urban systems.