The concept of 'digital twins' has evolved from its industrial origins into a transformative tool for urban planning. A digital twin is a virtual replica of a physical entity, continuously updated with real-time data from sensors. In cities, these models simulate traffic flows, energy consumption, and even emergency responses, allowing planners to test scenarios without disrupting daily life. However, the efficacy of such systems hinges on data quality and integration. Inaccurate or incomplete data can lead to misleading simulations, potentially exacerbating urban problems rather than solving them. Moreover, the reliance on digital twins raises concerns about privacy and the digital divide, as not all communities have equal access to the technologies that feed these models. Despite these challenges, proponents argue that digital twins offer an unprecedented opportunity to make cities more resilient and sustainable, provided that their implementation is guided by robust governance and inclusive participation.