Development of smart application for the selection of the territory of residence (smart real estate)

The constant technology developments will make the geographic information more important for the real estate business. The continuous growth of the available data allows the organizations to develop a deeper understanding of the factors that influence the value of real estate. The ever-increasing powerful software and the automation of processes will enable decision-makers to move faster in order to take advantage of the market openings. At the same time, users will enjoy better quality housing search. Recently, and especially during the last decade, we have observed the increasing use of the possibilities offered by the modern geographic information software. The combination of spatial and descriptive information has proven to be the only way to solve complicated problems, such as those of multiple variants. It is no coincidence that a great percentage of technical services in our country have already incorporated such applications in order to facilitate the flow and quality of the requested information. Considering the significance of the search for the optimal residence location for modern people, this research application is expected to answer in which areas it is ideal for the user to look for housing. The most popular search engines, related to residence search, take the area for granted and then, display the available homes. The smart application implemented in this thesis aims to locate the areas that meet the user’s criteria and lead him to a more targeted search. To achieve this analysis, we present in detail all the used spatial and descriptive data, the processing routines and the selected QGIS tools, the criteria of the multi-criteria analysis and the distribution of the weights of the variants from the users’ preference input. In addition, we will analyze the mathematical expressions developed for the data processing and the extraction of the requested results and we will present the results of the application for different user scenarios. Finally, we will refer to future extensions by adding more criteria as well as by incorporating artificial intelligence.