Cities can be considered complex systems, constantly changing and adapting to new economic, social, and cultural dynamics. They exist in many forms and over a wide range of sizes. In spite of this, researchers have discovered regularities in the form of simple scaling laws that emerge when urban outputs of many types, such as income, patents or energy consumption, are correlated with population size. This article briefly presents some facts and figures on scaling correlations in urban contexts and how this evidence can determine and influence the obsolescence of energy infrastructures. It finally suggests several strategies which could be used to ameliorate the impacts of this performance in urban consumption forecasting assessment processes.

Peer Reviewed