Spatial analysis and integrated multi-criteria decision making methods; a model to evaluate justice in the distribution of urban services in Tehran

With the increase in the population of cities, the amount of demand grows faster than the amount of supply, and on the other hand, the access level of all urban activists who are on the demand side is not the same, which causes injustice in cities. In this study, Tehran, a metropolis in Iran, has been selected as the study area to measure the realization of spatial justice. For this purpose, 14 indicators have been selected, and then these indicators have been weighted using the MEREC model, and then Tehran regions have been ranked with three MCDM models, including MARCOS, CODAS, and MAIRCA. Additionally, spatial distribution patterns of facilities were examined using the ANN in ArcGIS Pro. The results showed that in terms of achieving spatial justice, the areas located in the center of Tehran have a much better situation than other areas of the city.