In recent decades, different ways have been used to create, maintain and increase safety in cities. One of the most important ones that is used in many cities, especially in developed cities. Identifying safe city indicators and improving their level in the direction of safety. In other words, prevention is before treatment. This research aims to analyze and evaluate the physical indicators of Ayman city in Kianpars, Golestan and Sepidar neighborhoods in Ahvaz city. The present research is theoretical-applicative in nature and its study method is descriptive-analytical. The method of collecting information is survey-library and the opinions of experts were used in the analysis process. In this research, 8 indicators that have the highest degree of reproducibility have been selected. For data analysis, the spatial autocorrelation method available in Geoda software was used, and for the spatial distribution of the safe city's physical indicators and their valuation, the software was used. ArcGIS software and multivariate model (FAHP) were used. The obtained results show that 56.9% of the body tissues of Kianpars neighborhood are in a completely safe state and 10.5% are in a completely unsafe state. 34% of the body tissues of Golestan neighborhood are in a completely safe state and 19% are in a completely unsafe state. 24.9% of the body tissues of Sepidar neighborhood are in a completely safe state and 33.6% are in a completely unsafe state.