Zabaleta Santisteban, Jhon AntonySalas López, RolandoRojas Briceño, Nilton B.Gómez Fernández, DarwinMedina Medina, Angel J.Tuesta Trauco, Katerin M.Rivera Fernandez, Abner S.Lévano Crisóstomo, JoséOliva Cruz, ManuelSilva López, Jhonsy O.2024-12-272024-12-272024-06-01Santisteban, J. A. Z., López, R. S., Rojas-Briceño, N. B., Fernández, D. G., Medina, A. J. M., Trauco, K. M. T., Rivera-Fernandez, A.; Lévano Crisostomo, J.; Oliva-Cruz, M.; & Silva-López, J. O. (2024). Optimizing landfill site selection using fuzzy-AHP and GIS for sustainable urban planning. Civil Engineering Journal, 10(6), 1698-1719. doi: 10.28991/cej-2024-010-06-012476-3055http://hdl.handle.net/20.500.12955/2626Careful landfill selection with minimal environmental impact is vital for urban planners. This study aims to identify suitable sites for controlled landfills using Fuzzy-AHP integrated with Remote Sensing and GIS, considering a 20-year projection of population and solid waste generation. Initially, twelve sub-criteria were identified, grouped into environmental, socio-economic, and physical categories, and then weighted using paired comparison matrices involving nine experts. The sub-criteria were rasterized and classified into four suitability levels. The weighted overlay of sub-criteria maps generated a territorial suitability model. Within the Alto Utcubamba Commonwealth (Amazonas, Peru), 0.069%, 41.70%, 66.934%, 0.20%, and 12.4% of the territory are suitable, moderately suitable, less suitable, unsuitable, and restricted, respectively, for landfill establishment. Subsequently, 16 highly suitable sites were selected based on the required area (S4 polygons ≥ 0.505 ha) in line with the projected solid waste generation over 20 years. Of the 16 selected areas, only 15 met the shape index. The model showed high accuracy (AUC = 0.784) during validation. Furthermore, this study provides a comprehensive framework for making decisions about waste management in developing countries, enhancing understanding of key factors in selecting landfill sites. It also offers a deeper insight into global and local factors that determine the suitability of landfill sites.application/pdfenginfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/4.0/Landfill locationsF-AHPRemote sensingGeographic Information systemsSuitability modelinfo:eu-repo/semantics/articlehttps://purl.org/pe-repo/ocde/ford#4.05.00https://doi.org/10.28991/cej-2024-010-06-01Landfills