Urbanization has resulted in a surge in municipal solid waste (MSW) generation, posing critical waste management challenges in urban areas. To tackle this issue, we introduce a novel approach for mapping garbage vulnerability zones (GVZ) in Coimbatore City, India, combining the analytic hierarchy process (AHP) and Geographic Information System (GIS). Seven criteria, including per capita waste generation, open dumping, land use land cover, road/railway networks, and population, were integrated and analyzed in GIS. AHP pairwise comparison method assigned weights to each criterion and principal component analysis (PCA) further validated the interconnectedness of the criteria and their impact on the GVZs. The results indicated that open dumping locations and population density are the most influential factors contributing to the risk of garbage accumulation, making up 23.7% and 21.2% of the total weight, respectively. The GVZ map reveals that 94.6% of Coimbatore City is at risk of MSW accumulation, with 20.2% highly and 74.4% moderately vulnerable. Eleven high GVZ clusters were identified, with Saravanampatti, located in the northeastern part of Coimbatore City, being the most vulnerable area. The H3 hexagon format of the GVZ map enhances its usability for monitoring and mitigation capabilities. In conclusion, our comprehensive AHP-GIS approach facilitates effective waste management practices, sustainable resource utilization, and better environmental and public health outcomes in urban areas. The demonstrated methodology has the potential for application in similar developing urban areas in South Asia and the Global South, serving as a valuable tool to address the challenges posed by increasing MSW generation.
Keywords: Analytic hierarchy process; Garbage vulnerability zone mapping; Geographic Information System; India; Public health; Solid waste management.
© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.