What does this research mean for the field?

Current GIS and MCDA frameworks for landfill site selection heavily rely on subjective expert validation and underutilize quantitative validation, despite the widespread application of criteria like road accessibility and water protection using the Analytic Hierarchy Process. Novelty: ClaimNovelty.SYNTHESIS. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

Synthesize the evolution, methodological frameworks, and validation practices of Geographic Information Systems (GIS) and Multi-Criteria Decision Analysis (MCDA) used for landfill site selection.

September 5, 2026SustainabilityOpen Access

State of the Art and Recent Advancements in the GIS-Based Approaches for Landfill Site Selection

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Authors

FBFiromsa BidiraJimma University MJMateusz JakubiakAGH University of Krakow KMKamil MaciukJagiellonian University

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Implication

Systematic review reveals persistent reliance on subjective validation in spatial landfill siting frameworks, highlighting the need for quantitative uncertainty assessment.

Key Points

Synthesize the evolution, methodological frameworks, and validation practices of Geographic Information Systems (GIS) and Multi-Criteria Decision Analysis (MCDA) used for landfill site selection.
Conducted a systematic review of N=175 peer-reviewed articles published between 2016 and 2026.
Evaluated siting criteria, geospatial data layers, multi-criteria weighting techniques, geographical research distributions, and validation frameworks.
Primary spatial criteria included road accessibility (93.7%), water protection (91.4%), slope gradients (84.6%), and settlement buffer zones (78.9%), supported mainly by Digital Elevation Models (81.9%).
Analytic Hierarchy Process remained the most applied weighting technique (63.41%), with global research output led by India, Iran, and Turkey.
Subjective expert validation occurred in 73.8% of studies, whereas quantitative validation, sensitivity analysis, and uncertainty modeling remained critically underutilized.

Cite This Study

Bidira et al. (2026) studied this question.

synapsesocial.com/papers/6a9bd4126b95aff0620eb6e5 https://doi.org/10.3390/su18179080

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Implication

Systematic review reveals persistent reliance on subjective validation in spatial landfill siting frameworks, highlighting the need for quantitative uncertainty assessment.

State of the Art and Recent Advancements in the GIS-Based Approaches for Landfill Site Selection

Discussion

Member takes

Implication

Key Points

Cite This Study

State of the Art and Recent Advancements in the GIS-Based Approaches for Landfill Site Selection

Discussion

Member takes

Implication

Key Points

Cite This Study

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