Classification of surface roughness using spatial autocorrelation in the economical wind resistant design of buildings

The crowding of housing facilities and industrial facilities due to the development of cities is greatly influencing geographic feature changes within urban areas. The construction of various social infrastructure leads to high-rise buildings and the crowding of nearby buildings, while there also arises a mixture with already existing low-rise buildings such as detached houses or industrial complex. This results in the confusion of designer in calculating the velocity pressure exposure coefficient which is an important factor in the wind resistant design of buildings. Therefore, this study utilized construction data of 1:5000 digital maps to analyze the velocity pressure exposure coefficient. Analysis was carried out by utilizing the Moran-I and Getis-Ord’s Gi* between nearby buildings where newly designed buildings are situated, and by suggesting a method that classifies surface roughness according to this standard the actual information of geographic feature was applied in the calculation process of velocity pressure exposure coefficient. Depending on the environment, it was possible to confirm that the results of the illumination of the indicators differed differently depending on the surroundings of the building. Also by suggesting a measure that calculates the surface roughness by using GIS, the existing problem of which the designer estimates surface roughness according to his own subjective judgement is solved. This is expected to help to achieve a more reasonable and economical wind resistant design of buildings.