Complexities in uncertain and imprecise data can be resolved due to the proposal of a technique of multicriteria decision-making (MCDM) on the basis of circular intuitionistic fuzzy sets (C-IFS). Circular intuitionistic fuzzy sets are the extension of conventional intuitionistic fuzzy sets and fuzzy sets. The elimination et choix traduisant la réalité (ELECTRE) approach is a solid MCDM tackle that has gained fame in addressing qualitative and quantitative criteria in policy analysis. In this paper, we combine circular intuitionistic fuzzy sets and ELECTRE to evaluate carbon monoxide in urban settings. The core parameters for optimization included emission levels, traffic density, and population exposure, which were evaluated using expert judgments to model environmental decision-making issues. We illustrate the presented intuitionistic fuzzy ELECTRE approach with circular reasoning using a case of high-return zones with high concentrations of carbon monoxide levels. Our findings reveal that the proposed method effectively identified and prioritized three key urban zones as the most critical, a result that was more robust to uncertainty than a conventional fuzzy model. The proposed approach provides a systematic resource in managing air quality and city planning, enabling policymakers to develop targeted strategies for mitigation efforts.