Multicriteria geolocation for new urban areas: A case study in three cities of Peru

Vista sencilla de ítem
dc.contributor.authorSolano Acuña, Vreni Renán
dc.contributor.authorSolano Velarde, Zosimo
dc.contributor.authorRévolo Acevedo, Ronald Héctor
dc.contributor.authorQuispe Reymundo, Bimael Justo
dc.contributor.authorCastro Blancas, Medaly C.
dc.contributor.authorBonilla Mancilla, Humberto D.
dc.contributor.authorQuispe Quezada, Uriel Rigoberto
dc.contributor.authorQuispe Quezada Luthgardo Pastor
dc.date.accessioned2026-04-22T16:29:47Z
dc.date.available2026-04-22T16:29:47Z
dc.date.issued2025-12-20
dc.description.abstractUrbanization, driven by the population's basic needs and regional geography, can lead to uncontrolled expansion. Therefore, multicriteria geolocation is proposed as an effective tool to identify areas that promote sustainable urban development. The objective of the research was to propose sustainable urban soils based on multicriteria soil types, focusing on the selection of three cities in Junín (Chanchamayo, Tarma and Jauja), Peru. A multicriteria analysis was employed, integrating eight edaphological criteria and the Fuzzy Logit method to manage the uncertainties inherent in geospatial data and calculate fuzzy weights to estimate the probability of urban areas. The results indicated that predominant areas, such as alluvial cones, intrusive rock hills, and extensive vegetation cover, were considered possible zones for urbanization, suggesting that the weights assigned to urbanization varied according to the edaphological criteria and their sub-criteria. The city of Tarma demonstrated notable suitability for urbanization, with 14.54% of its territory showing a probability of urbanization of 0.9; in comparison, Chanchamayo achieved a suitability of 89.22% of its territory, with a probability of urbanization of 0.75, while Jauja stood out as the city with the lowest suitability for urbanization. The application of Fuzzy logistics revealed that the probability of suitability for urbanization in Tarma, Chanchamayo, and Jauja was related to the size of the areas, showing that larger zones had a higher probability of being suitable for urban development.eng
dc.identifier.doihttps://doi.org/10.31018/jans.v17i4.6328
dc.identifier.urihttps://hdl.handle.net/20.500.14388/160
dc.language.isoeng
dc.publisherANSF. Applied Natural Science Fundation
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.sourceANSF. Vol 17 No 4 (2025)
dc.subjectEdaphological areaseng
dc.subjectUrbanization probabilityeng
dc.subjectUrbanization suitabilityeng
dc.subjectWeights of the criteriaeng
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#1.00.00
dc.titleMulticriteria geolocation for new urban areas: A case study in three cities of Perueng
dc.typehttp://purl.org/coar/resource_type/c_2df8fbb1
Archivos
Bloque original
Mostrando 1 - 1 de 1
No hay miniatura disponible
Nombre:
Multicriteria geolocation for new urban areas A case study in three cities of Peru.pdf
Tamaño:
1.5 MB
Formato:
Adobe Portable Document Format
Descargar
Bloque de licencias
Mostrando 1 - 1 de 1
No hay miniatura disponible
Nombre:
license.txt
Tamaño:
1.71 KB
Formato:
Item-specific license agreed to upon submission
Descripción:
Descargar
Colecciones
Artículo en Versión Publicada