The development of the tourism industry is very important for developing countries that are facing problems such as high unemployment rates, a distorted international image, limited foreign exchange resources, and a single-product economy, especially oil. Investing in this industry, which is considered a human art, is measured based on the public health of each country and will be the basis for tourists' decisions as a tourist destination. The purpose of this research is to investigate public decision-making in different temporal and spatial conditions based on psychological events. This fact is a must for the tourism industry of a society that must be managed. Then we challenge the artificial intelligence to realize that, entrusting rational decisions can replace human thinking. The methods of this study are based on NPGIS software, where decision-making methods and statistical sampling are determined together. Therefore, the study methods and a case example are presented just to know. Because it has transnational applications. The results show that: entrusting spatial decisions (space-time-place) to artificial intelligence is only possible if we consider the consequences. Finally, time and the criteria related to it show their key role. The fusion of space sciences with the tourism industry can be related to all the industrial and money-making sectors of a country. It seems easy to make an AI that works correctly once a day, but if it tries to do the same thing several times in a day, it becomes more prone to errors.