<p>The escalating frequency and intensity of urban heat events, exacerbated by climate change and the urban heat island effect, pose severe threats to human health, infrastructure, and socio-economic stability, necessitating innovative solutions for smart city disaster risk reduction (DRR) and resilience. This study introduces the Digital Twin paradigm as a transformative approach to comprehensively monitor urban heat and facilitate effective policy interventions. By constructing a dynamic, high-fidelity virtual replica of the urban environment, a Digital Twin integrates real-time sensor data, detailed geospatial information, meteorological forecasts, and socio-economic data. Crucially, this Digital Twin goes beyond mere monitoring by serving as a powerful decision-support tool for policymakers and urban planners. It enables the evaluation of diverse heat mitigation strategies such as the efficacy of cool pavements, green roofs, increased urban forestry, or optimized water features before their physical implementation, thereby optimizing resource allocation and minimizing unintended consequences. Furthermore, Digital Twin facilitates the design and testing of targeted policy interventions, including the strategic placement of cooling centers, the development of early warning systems tailored to localized heat risks, or the formulation of building codes that promote heat-resilient construction. By visualizing the predicted impacts of policy changes, stakeholders can engage in more informed, evidence-based discussions, fostering collaborative governance and ensuring that policies are both effective and equitable. This paradigm shifts urban heat management from a reactive response to a proactive, preventative framework, ultimately enhancing urban resilience and contributing to more sustainable and livable smart cities in the face of a warming climate.</p>