Research Article
Comparison of Fuzzy AHP and Fuzzy TOPSIS for Road Pavement Maintenance Prioritization: Methodological Exposition and Case Study
Table 1
Road condition survey data showing pavement segment chainage and the observed distresses, as derived from the PQI calculations.
| Segment or chainage (m) | Observed distresses |
| 0–300 | (i) Potholes (ii) Longitudinal cracks (iii) Transverse cracks (iv) Alligator cracks |
| 300–600 | (i) Longitudinal cracks (ii) Transverse cracks (iii) Block cracking |
| 600–900 | (i) Potholes (ii) Longitudinal cracks (iii) Transverse cracks (iv) Alligator cracks (v) Patching |
| 900–1 200 | (i) Potholes (ii) Longitudinal cracks (iii) Alligator cracks |
| 1 200–1 500 | (i) Potholes (ii) Longitudinal cracks (iii) Edge cracking (iv) Raveling |
| 1 500–1 800 | (i) Potholes (ii) Longitudinal cracks (iii) Transverse cracks (iv) Block cracking |
| 1 800–2 100 | (i) Potholes (ii) Longitudinal cracks (iii) Alligator cracks |
| 2 100–2 400 | (i) Potholes (ii) Longitudinal cracks (iii) Transverse cracks (iv) Block cracking |
| 2 400–2 700 | (i) Potholes (ii) Longitudinal cracks (iii) Alligator cracks |
| 2 700–3 000 | (i) Potholes (ii) Longitudinal cracks (iii) Transverse cracks (iv) Alligator cracks (v) Block cracking (vi) Raveling |
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