Modeling the Impact of Socio-Economic and Environmental Factors on Air Quality in the City of Kabul

Air pollution is a vital concern for developing countries, and the growing concentration of air pollutants in Kabul-the most polluted city in Afghanistan-has raised concerns about the health of its citizens. This study examines Kabul's ambient air quality from a socio-economic and environmental perspective, primarily focusing on some crucial parameters, such as the Air Quality Index (AQI), nitrogen dioxide (NO2), particulate matter (PM2.5), and carbon monoxide (CO). Using multiple regression analysis modeling in R and data from satellite imagery, air quality monitoring stations, and Geographic Information Systems (GIS), this study demonstrates a strong relationship between air quality and urban green spaces, population growth, vehicle count, temperature, and electricity availability. Key results indicate that increasing urban green areas improves air quality, but that population growth and heat make air pollution worse. This study suggests that airborne pollutants could be reduced through efficient emissions management, green energy sources, and urban planning. These observations provide policymakers and urban planners with practical recommendations to enhance Kabul's air quality and general public health.