The concept of 'digital twins' has evolved from a manufacturing tool into a powerful paradigm for urban planning. A digital twin is a virtual replica of a physical system, continuously updated with real-time data. In cities, this allows planners to simulate the impacts of new infrastructure, traffic flows, or environmental changes before implementing them physically. However, the accuracy of these models depends heavily on the quality and granularity of the data collected. Moreover, ethical concerns arise regarding privacy and the potential for algorithmic bias, as the data often reflects existing inequalities. Thus, while digital twins offer unprecedented predictive capabilities, their deployment requires careful governance to ensure they serve all citizens equitably rather than exacerbating urban disparities.