Authors :
Jarif Hossain; Suprio Das; Md. Altaf Hossain; Md. Yasin
Volume/Issue :
Volume 11 - 2026, Issue 8 - August
Google Scholar :
https://tinyurl.com/4cnj5m7w
Scribd :
https://tinyurl.com/39vv2r5b
DOI :
https://doi.org/10.38124/ijisrt/26aug581
Note : A published paper may take 4-5
working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and
ResearchGate.
Abstract :
Bad air quality is one of the most serious issues cities are struggling with today, especially in rapidly growing
megacities such as Dhaka. Increasing traffic volume and congestion make vehicular emissions one of the major sources of
urban air pollution. This study examines the spatial correlation between traffic activity and air pollution concentration levels
on selected road segments in megacity Dhaka. Traffic volume data were collected from six road segments along Mirpur Road
and Kazi Nazrul Islam Avenue using videography-based surveys. Carbon monoxide (CO), nitrogen oxides (NOx) and
particulate matter (PM2. were simulated by using emission factor methods. We extracted air pollutant concentration data
from the Open-Meteo Air Quality API for each of these respective times and locations. Spatial emission distribution was
visualized using a grid framework of 250 m × 250 m by utilizing Quantum Geographic Information System (QGIS) tools.
The relationship between emissions and pollutant concentration were analyzed using regression. The results show that there
is a strong correlation between the daily traffic emissions and the concentrations of air pollutants, with R² = 0.97 for CO
(carbon monoxide) and R² = 0.93 for PM2.5 (particulate matter). The study highlights pollution hotspots on some major road
segments where traffic density is high. The study emphasizes the significance of both traffic control methods and sustainable
transportation planning especially for Dhaka in facilitating urban air quality challenges.
Keywords :
Air Pollution, QGIS Spatial Analysis, Traffic Density, Traffic Emissions, Urban Air Quality.
References :
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Bad air quality is one of the most serious issues cities are struggling with today, especially in rapidly growing
megacities such as Dhaka. Increasing traffic volume and congestion make vehicular emissions one of the major sources of
urban air pollution. This study examines the spatial correlation between traffic activity and air pollution concentration levels
on selected road segments in megacity Dhaka. Traffic volume data were collected from six road segments along Mirpur Road
and Kazi Nazrul Islam Avenue using videography-based surveys. Carbon monoxide (CO), nitrogen oxides (NOx) and
particulate matter (PM2. were simulated by using emission factor methods. We extracted air pollutant concentration data
from the Open-Meteo Air Quality API for each of these respective times and locations. Spatial emission distribution was
visualized using a grid framework of 250 m × 250 m by utilizing Quantum Geographic Information System (QGIS) tools.
The relationship between emissions and pollutant concentration were analyzed using regression. The results show that there
is a strong correlation between the daily traffic emissions and the concentrations of air pollutants, with R² = 0.97 for CO
(carbon monoxide) and R² = 0.93 for PM2.5 (particulate matter). The study highlights pollution hotspots on some major road
segments where traffic density is high. The study emphasizes the significance of both traffic control methods and sustainable
transportation planning especially for Dhaka in facilitating urban air quality challenges.
Keywords :
Air Pollution, QGIS Spatial Analysis, Traffic Density, Traffic Emissions, Urban Air Quality.