Authors :
Irwin B. Pamintuan; Jet C. Aquino
Volume/Issue :
Volume 11 - 2026, Issue 4 - April
Google Scholar :
https://tinyurl.com/ck42vrwc
Scribd :
https://tinyurl.com/bzdtanjv
DOI :
https://doi.org/10.38124/ijisrt/26apr1225
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
This study developed and evaluated a suitability analysis framework aimed at strengthening Comprehensive Land
Use Planning (CLUP) in Local Government Units (LGUs) in the Philippines. As LGUs face increasing pressures from rapid
urbanization, environmental degradation, and disaster risks, the need for systematic and evidence-based planning
approaches has become more critical. Existing planning practices, while guided by national standards, often rely on
fragmented data and limited spatial analysis, affecting the consistency and quality of land use decisions. In response, this
research proposes a framework that integrates Geographic Information Systems (GIS) and multi-criteria evaluation to
support more objective and data-driven planning. The framework utilizes environmental, socio-economic, and hazardrelated datasets to assess land suitability through a structured process involving criteria identification, weighting, and spatial
overlay analysis. These processes generate suitability maps that assist planners in identifying appropriate areas for
development while incorporating risk and sustainability considerations. The framework is aligned with CLUP guidelines
from the Department of Human Settlements and Urban Development (DHSUD), ensuring its practical applicability. To
evaluate the framework, consultations and assessments were conducted with professionals in land use planning and
geospatial analysis, focusing on usability, clarity, and potential contribution to planning outcomes. Findings indicate that
the framework enhances transparency, consistency, and decision-making quality, enabling LGUs to better align land use
allocations with development goals and disaster risk reduction strategies. Overall, the study contributes a practical and
adaptable approach to improving local planning processes and supports the integration of geospatial tools in evidence-based
land use planning.
Keywords :
Suitability Analysis, Comprehensive Land Use Planning, Geographic Information Systems, Spatial Analysis, Land Use Planning, Web-Based Suitability Analysis.
References :
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This study developed and evaluated a suitability analysis framework aimed at strengthening Comprehensive Land
Use Planning (CLUP) in Local Government Units (LGUs) in the Philippines. As LGUs face increasing pressures from rapid
urbanization, environmental degradation, and disaster risks, the need for systematic and evidence-based planning
approaches has become more critical. Existing planning practices, while guided by national standards, often rely on
fragmented data and limited spatial analysis, affecting the consistency and quality of land use decisions. In response, this
research proposes a framework that integrates Geographic Information Systems (GIS) and multi-criteria evaluation to
support more objective and data-driven planning. The framework utilizes environmental, socio-economic, and hazardrelated datasets to assess land suitability through a structured process involving criteria identification, weighting, and spatial
overlay analysis. These processes generate suitability maps that assist planners in identifying appropriate areas for
development while incorporating risk and sustainability considerations. The framework is aligned with CLUP guidelines
from the Department of Human Settlements and Urban Development (DHSUD), ensuring its practical applicability. To
evaluate the framework, consultations and assessments were conducted with professionals in land use planning and
geospatial analysis, focusing on usability, clarity, and potential contribution to planning outcomes. Findings indicate that
the framework enhances transparency, consistency, and decision-making quality, enabling LGUs to better align land use
allocations with development goals and disaster risk reduction strategies. Overall, the study contributes a practical and
adaptable approach to improving local planning processes and supports the integration of geospatial tools in evidence-based
land use planning.
Keywords :
Suitability Analysis, Comprehensive Land Use Planning, Geographic Information Systems, Spatial Analysis, Land Use Planning, Web-Based Suitability Analysis.