Estudio del desarrollo económico urbano con metodología gsv time-lapse

Abstract

New technologies applied in the field of urban planimetry have evolved substantially in recent years. Throughout, this technology information is obtained instantaneously, automatically and in real time. This research has been development using google street view (GSV). In this research whether the enhancement of architectural heritage has an influence on its immediate commercial environment, initiating the processes of local development and gentrification. For this propouse a new methodology for data collection was made. The optimal location for retail and circularity of its services or products were analiced using maps of self-organised neural networks with matrix architecture and competitive learning. In conclusion, it has been shown that the degree of success and survival is directly related to the circularity index as well as its influence received by the intervention of the nearby architectural heritage.