GIS-Based Spatial Analysis and Strategic Placement of Fine Dust Alert Systems for Vulnerable Populations in Gangseo District

Air pollution, particularly fine particulate matter (PM), poses significant health risks to vulnerable populations such as children, older adults, and individuals with chronic illnesses. Understanding the spatial distribution of these populations and their access to air quality information is crucia...

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Bibliographic Details
Published in:Applied sciences 2024-11, Vol.14 (22), p.10610
Main Authors: Lee, Jaewook, Jang, Junyoung, Im, Jaeuk, Lee, Jae Hong
Format: Article
Language:English
Subjects:
accessibility analysis
Aged
Air pollution
Air quality
Analysis
Chronic diseases
Cluster analysis
fine particulate matter
Geographic information systems
geographic information systems (GIS)
Geospatial data
Health aspects
Medical care
Older people
Outdoor air quality
Public health
Quality management
urban planning
vulnerable populations
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Summary:Air pollution, particularly fine particulate matter (PM), poses significant health risks to vulnerable populations such as children, older adults, and individuals with chronic illnesses. Understanding the spatial distribution of these populations and their access to air quality information is crucial for effective interventions. In urban areas like Gangseo District, the distribution of essential facilities and accessibility varies greatly. While studies have highlighted the health impacts of PM, research on optimizing air quality monitoring for at-risk groups remains limited. This study aims to identify optimal locations for air quality monitoring by analyzing the spatial distribution of vulnerable populations and facility accessibility. Using Geographic Information Systems (GIS) and isochrone maps, we identified areas with high concentrations of vulnerable groups and poor access to healthcare facilities. Our findings revealed significant disparities in access to air quality information, with some high-risk areas underserved by current monitoring systems. This study integrated demographic data and spatial analysis to propose strategic monitoring placements. The methodology can be applied to other urban settings and offers a framework for improving air quality management. This study underscores the importance of targeted air quality monitoring to protect vulnerable populations and suggests practical steps for policymakers to enhance public health.
ISSN:2076-3417
2076-3417
DOI:10.3390/app142210610