Despite the significant contribution of the construction industry to a country's economy, the industry at large is accused of undermining sustainability, particularly in terms of environmental concerns across various dimensions. For instance, approximately 40% of global resources are consumed and nearly half of pollutants are generated by the construction industry. However, the nature and intensity of these impacts can vary based on project types and scales, often being regionspecific. Since the emergence of the concept of smart construction, it has rapidly altered the landscape of traditional construction, affecting many parameters within the construction industry. Notably, environmental impacts have become a significant aspect. Undoubtedly, one of the foremost contemporary challenges revolves around environmental issues and endeavors to mitigate risks, negative consequences, and the overarching notion of sustainable development. In this study, our objective is to first delve into the concept of sustainable construction and the developed models within this realm. Additionally, we transition from the investigation of past pollution due to construction and demolition activities to a scrutiny of emerging pollutants arising from the advancements in construction technology. Ultimately, we strive to achieve a comprehensive model of construction-related pollution. The construction industry, through its substantial resource consumption and substantial waste production, yields considerable environmental impacts. However, determining the relative importance of various ecological indicators remains a pivotal challenge. This study sought to establish a comprehensive weighted framework to eva‎luate the pollution impacts stemming from construction activities using the Analytical Hierarchy Process (AHP). A meticulous review of existing studies identified 21 distinct indicators, categorized into Air Quality, Water Quality, Land Disruption, and seven other pertinent categories. To acquire expert opinions, a questionnaire was devised to solicit pairwise comparisons of these indicators from 43 construction professionals in Iran, representing diverse roles. The collected ratings were then consolidated into an AHP comparison matrix. Subsequent analyses yielded both local and global weights for the indicators, with Air Pollution, Noise Pollution, and Water Pollution emerging as the most significant according to expert assessments. The results underscored a heightened focus on the management of airborne emissions and noise, reflecting the region-specific context. The weighted indicators offer a quantitative tool enabling contractors and regulators to comprehensively assess the footprint of construction-related pollution. It is recommended to further validate these findings through field audits and follow-up surveys. Overall, this study highlights the applicability of the Analytical Hierarchy Process (AHP) in navigating the complexities of multi-criteria decision-making in sustainability-related issues. The data-driven insights gleaned from this research can potentially guide more targeted planning and investments into sustainable construction practices

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