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The concept of 'digital twins' has gained traction in urban planning, referring to virtual replicas of physical cities that simulate real-time data from sensors, traffic flows, and energy grids. Proponents argue that these models enable predictive analysis, allowing authorities to test infrastructure changes before implementation, thereby reducing costs and environmental impact. However, critics caution that over-reliance on digital simulations may overlook socio-economic nuances, as data biases can perpetuate inequalities. Moreover, the high computational demands raise questions about sustainability. While digital twins offer unprecedented precision, their effectiveness hinges on integrating qualitative community feedback with quantitative modeling. Thus, they should be viewed as complementary tools, not substitutes, for human-centric planning.