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