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Sorting urban-marginal areas in ecuador by weighting energy consumption indicators

Abstract:

A sorting algorithm based on Theory of Decision in Uncertainty is implemented to rank urban-marginal areas in Guayaquil City according to 11 indicators that significantly impact energy consumption. Links between elements are set assigning roles: The object susceptible to the affectation and the object to be affected, organized in an arrangement leading to decide if such relations really exist in terms of ordering and grouping zones according to energy consumption pattern. From 700 thousand users of urban-marginal areas of Ecuador, 200 thousand can be found in Guayaquil. Setting an order arrange implies a simple way to prioritize which areas require more attention according to future energy policies. The matrix form of the method not only allows to set such relationships, but also to weight the main indicators by area by using axioms of preference. Results show that Vergeles and Guasmo present the best consumption pattern, while Mapasingue and Monte Sinaí present less tendency towards the optimization of demand.