The advent of troubles and problems such as traffic, crowd, air pollution, marginalization and urban poverty has resulted in urban instability which demands for care of urban environments more than ever. The city of Mashhad, as one of the megacities in Iran, has experienced a huge growth around it. This growth and development were not proportional to urban instability metrics and currently confronts with problems and instabilities e.g. air and sound pollution, improper reachability to urban facilities and services and unbalanced distribution of applications in different regions of the city. Meanwhile, air pollution is of more importance than any other issue due to the impact it has on human health. In this research, the resilience against air pollution in thirteen regions of Mashhad has been investigated. To this end, first the effective factors on resilience of urban environment against air pollution were identified and collected through study, resource and research results review by experts and specialists. These factors include ecological, skeleton, social and economic indices. Then the criteria related to each of the indices affecting air pollution of Mashhad including buildings’ height, urban green life density, topography, urban traortation network, floor area ratio, ground applicability, population density, and employment were applied to each of the mapped criteria using Analytic Hierarchy process (AHP), weighting and the weight of each criterion in Geographical Information System software (ArcGIS). Next, vector layer is generated and transformed into raster format and based on AHP method, scoring on the scale of 1 to 9 was performed on raster map of each criterion then scaled and zoned such that the minimum in zoning map and raster layer was (1) and the maximum (9) with the other assigned the scores between them. At this stage, we utilized expert comments in order to determine the relationship between each criterion with air pollution resilience of Mashhad regions. According to the subject of research, zoning map for air pollution of Mashhad was also used as one of the layers. In order to generate this map, data from monthly concentration of five pollutants including Carbon Monoxide (CO), Ozone (O 3 ), Sulfur Dioxide (SO 2 ), Nitrogen Dioxide (NO 2 ) and floating particles (PM 2.5 ) from Pollutants Monitoring Center of Mashhad were collected. After evaluation and quantification and classification of data in Excel, air quality zoning was performed using IDW method at thirteen-tuple regions of Mashhad. The eventual resilience map of Mashhad against air pollution was generated by overlaying information layers and by results comparison, resilience ranking for thirteen-tuple regions of Mashhad was performed. Finally, in order to evaluate the dispersion relationship of each criterion with resilience against air pollution, regression and spatial data self-correlation analysis was performed using Moran statistics. The results from statistical analysis exhibited that region seven is the most resilient and region 13 the least. Furthermore, the relationship between each of the surveyed criteria with resilience of Mashhad against air pollution was determined and the initial assumptions were tested.