GIS technologies for urban restoration planning tasks

The study object is the process of planning directions the restoration of Ukrainian cities. The purpose is to increase the validity of decisions made while planning city restoration directions by analyzing a set of spatial and remote data. The author solves such tasks as to assess the possibility of using spatial and remote data in city restoration tasks, propose a functional model of the planning process of city restoration directions, focused on the use of spatial and remote data, and conduct an experiment on the use of a functional model of process of planning city restoration directions. Scientific methods are the system analysis, functional modeling, and theory of scientific experiment. Focusing on spatial aspects, the initial data necessary to formulate city restoration directions are analyzed as study results. The possibility of using spatial and remote data as input data has been confirmed. Using the standard representation IDEF 0, a functional model of the planning process has been developed. It explains the sequence of processing and generalization of a set of spatial and remote data while forming decisions on the destroyed city objects restoration. An experiment was conducted to use the model based on volunteered geographic information for the Kharkiv city. It made it possible to justify steps to restore the Saltovsky district – the area where the largest number of the city's population lived and which experienced the greatest destruction. The article is debatable and aimed at popularizing the use of GIS technologies.