Geo-Eye
Department of Geography & GIS
Department of Geography & GIS
Geo-Eye
DOI: 10.53989/bu.ge.v14.i2.25.2 2
Year: 2025, Volume: 14, Issue: 2, Pages: 70-77
Review Article
Bharat L Gadakh1*, Ravindra G Jaybhaye2
1Department of Geography, K.R.T. Arts, B.H. Commerce and A.M. Science (KTHM) College, Nashik, Maharashtra, India.
2Department of Geography, Savitribai Phule Pune University, Pune, Maharashtra, India
*Corresponding author
Email: [email protected]
Received Date:01 September 2025, Accepted Date:22 December 2025
The Analytic Hierarchy Process (AHP) is a prominent multi-criteria decision-making (MCDM) approach that enables systematic evaluation of complex problems by structuring criteria hierarchically and applying pairwise comparisons. In geographical contexts, AHP facilitates informed spatial decision-making by integrating diverse factors such as topography, land use, accessibility, environmental sensitivity, and socio-economic attributes. This review examines the theoretical foundations of AHP and its practical applications in urban planning, environmental management, tourism development, and resource allocation. Particular attention is given to recent innovations that bridge AHP with GeoAI, including integration with Geographic Information Systems (GIS), incorporation of fuzzy logic to manage uncertainty, artificial intelligence–enhanced decision support, and the Analytic Network Process (ANP) for addressing interdependencies among criteria. The study highlights that combining AHP with GeoAI not only enhances analytical rigor but also enables dynamic, scalable, and real-time spatial planning solutions. The review concludes that hybrid AHP–GeoAI frameworks represent a promising frontier for advancing precision and efficiency in geographical decision-making.
Keywords: Analytic Hierarchy Process, GeoAI, Spatial decision-making, GIS integration, fuzzy AHP, Multi-criteria evaluation, Urban and environmental planning
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© 2025 Gadakh & Jaybhaye. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Published By Bangalore University, Bengaluru, Karnataka
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