The primary objective of the study is to assess the impact of flood events on spatial planning, to identify their magnitude, and to develop a flood risk map for the Shaki area. Within this framework, theoretical and methodological approaches related to the reduction of damage caused by floods to the population and land use and disaster management were considered. Based on the available literature review, the sequence of five types of measures to combat flood risk in planning was compiled. The study analyzed previous studies and examined the extent of flood-prone areas and the chronological impact of flooding on the economy. For this purpose, two research questions were formulated for the region and the research was carried out within the framework of these questions. Several research methods were considered to produce the risk map, and the Multi-Criteria Decision Analysis method was used to determine the residential areas at risk and the level of risk. The Copernicus LULC map, the annual precipitation, and the DEM file were used as the database for the study. To determine the risk zones, a model of the region has been created, the proportion of the region within the risk zone has been determined, satellite images have been processed using the method of remote sensing, a model of the region has been created and the settlements have been classified into 3 categories according to the location of the settlements and their distance from the rivers. The number of people living in each of the risk categories, their main occupation, and the areas in which they earn their income were determined and analyzed. The study shows that the vast majority of the population of Shaki District, 96.1%, live in areas directly or indirectly exposed to flooding, or at least in an area at risk of flooding, including famous tourist sites such as Shaki Khan Palace, Upper and Lower Karvansaray, Kish Alban Church and the city center. Furthermore, 87% of the total land area and 29% of the region's tourism and other hospitality industries are classified as flood-prone or at high risk of flooding.