Abstract
In today’s world, cities, as complex and multilayered systems, face challenges that traditional and linear analyses are unable to address. Population growth, rapid environmental changes, and the emergence of new issues such as inequality, pollution, and economic crises have confronted urban management with high levels of uncertainty and unpredictability. This article, aiming to explore the connection between complexity and chaos theories and good urban governance, seeks to demonstrate how these theories can contribute to improving the quality of urban decision-making and planning. To this end, through a systematic review of theoretical sources, three key questions are examined: the nature of uncertainty in urban systems, its impact on planning and decision-making processes, and how modern approaches can be applied to improve good urban governance. The research method was descriptive, relying on library and documentary studies for data collection. The findings revealed that urban systems possess characteristics such as nonlinear interactions, self-organization, and emergent behaviors, which strongly influence sensitivity to initial conditions and the occurrence of unexpected changes. Within this framework, chaos theory, with its emphasis on the butterfly effect, and complexity theory, with its explanation of multiscale structures, provide effective conceptual tools for analyzing and managing these uncertainties. Finally, the article suggests that good urban governance should be grounded in principles such as transparency, participation, accountability, data-driven approaches, and resilience, while leveraging modern technologies and institutional learning to adapt to complex conditions. Such an approach can, by reducing entropy and enhancing adaptive capacity, improve urban quality of life along a sustainable and smart development trajectory.

Keywords: Chaos, Complexity, Entropy, Uncertainty, Good Urban Governance