Development of a Road Maintenance Priority Index Using Fuzzy AHP and Simple Additive Weighting Based on Surface Damage and Traffic Intensity Parameters
DOI:
https://doi.org/10.51903/a5vpfr39Keywords:
Fuzzy AHP, road maintenance, Simple Additive Weighting, surface distress., traffic intensityAbstract
Limited road maintenance budgets require transparent prioritization methods that integrate pavement condition and road-use intensity. This study develops and evaluates, through structured simulation, a Road Maintenance Priority Index using Fuzzy Analytical Hierarchy Process and Simple Additive Weighting (FAHP–SAW). Twelve hypothetical flexible-pavement sections were represented by seven criteria: cracking, potholes, rutting, ravelling, edge deterioration, traffic volume, and heavy-vehicle proportion. All numerical inputs, including the decision matrix and pairwise-comparison matrices, are treated as simulated data for methodological proof-of-concept rather than field observations. FAHP generated demonstration weights, while SAW produced relative scores and rankings. Sensitivity analysis yielded Spearman correlations of 0.9860–0.9930 with a maximum one-position shift; however, A₁₁ and A₅ differed by only 0.29 points and were therefore interpreted as a near-tie priority group. Correlation analysis further showed very high redundancy among the five distress criteria (Pearson r = 0.997–0.999; Spearman ρ = 1.000), indicating potential double counting. The framework is transparent and traceable, but empirical application requires field data, independently elicited expert weights, multicollinearity control, and a clear separation between section prioritization and maintenance-treatment selection.
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Copyright (c) 2026 Arizi Majdanawan, Prihatin Timur, Reja Putra Jaya, Sigit Umar Anggono (Author)
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