Identifying and Ranking Factors Affecting the Selection of Architectural Type and Leveling Based on Climate Conditions Using the ANP Method (Case Study: Ahvaz Metropolis)

The present study aimed to identify and rank the factors affecting the selection of architecture and leveling of educational centers according to climate conditions using the ANP method. Library and field methods were used to collect data. Data collection tools were databases related to climatology in the Ahvaz metropolis. To weigh each factor, the opinions of experts and ANP were used. The factors were also ranked based on the weight of each factor. The results revealed that pollution prevention with a weight of 0.099, sunny hours with a weight of 0.099, and access with a relative weight of 0.096 had the highest weights among the obtained sub-indices. Thus, they were ranked first to third, respectively. Other sub-indicators were placed in other ranks based on the weights obtained.