Zabaleta Santisteban, Jhon AntonyJhon AntonyZabaleta SantistebanSalas López, RolandoRolandoSalas LópezRojas Briceño, Nilton BeltránNilton BeltránRojas BriceñoGomez Fernandez, DarwinDarwinGomez FernandezMedina Medina, Angel JamesAngel JamesMedina MedinaTuesta Trauco, Katerin MelizaKaterin MelizaTuesta TraucoRivera Fernandez, Abner ShelserAbner ShelserRivera FernandezLévano Crisóstomo, JoséJoséLévano CrisóstomoOliva Cruz, ManuelManuelOliva CruzSilva López, Jhonsy OmarJhonsy OmarSilva López2025-03-062025-03-062024-06-01Zabaleta-Santisteban, J.A.; Salas-López, R.; Rojas-Briceño, N.B; Gómez-Fernández, D.; Medina-Medina, A.J.; Tuesta-Trauco, K.M.; Rivera-Fernandez, A.S.; Lévano-Crisóstomo, 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).doi:10.28991/CEJ-2024-010-06-012476-3055https://hdl.handle.net/20.500.12955/2574Careful 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/pdfenhttp://purl.org/coar/access_right/c_abf2Landfill LocationsF-AHPRemote SensingGeographic Information SystemsSuitability Modelhttp://purl.org/coar/resource_type/c_650110.28991/CEJ-2024-010-06-01https://purl.org/pe-repo/ocde/ford#5.07.01LandfillsDescargaRemote sensingTeledetecciónGeographical Information SystemsSistema de Información GeográficaModelsModelo