Cost–Accuracy Trade-Offs in Unpaved Rural Road Condition Assessment: Visual Indices and Smartphone-Based IRI in the Ecuadorian Andes

More than 90% of the road network of Loja, Ecuador, is unpaved and lacks an official condition metric. Low-cost measures relate to the IRI on pavements, but not demonstrably on unpaved roads. A 15 km Andean corridor was surveyed in one dry season with four visual–manual indices (URCI, MTC, PASER, ICNP), a Class III profilometer, and an uncalibrated smartphone application, over 150 stations harmonized from 60 native index observations, 30 for the MTC. A single profilometer run was moderately reliable (ICC = 0.631, 95% CI 0.559–0.699); four runs averaged 0.872, so repeated runs are a quantified requirement, not a convention. The application erred in level, not in spatial pattern (standardized ICC = 0.900), placing 88.7% of stations within one quartile of the reference: its role is segment-scale screening, not absolute IRI. Under leave-one-block-out spatial validation, the index–IRI equations retain an R2 of 0.32–0.40; MTC was the only index whose association depended on the measuring instrument (p = 0.010). Surveying on foot cost 4.45–12.36 USD/km against 23.68 for reference profilometry, whose largest item is the vehicle. A tiered cost–accuracy architecture is proposed, with URCI and ICNP as preliminary candidates for official adoption, subject to validation based on further corridors and in wet condition.

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Publication Details

Journal
Sustainability
Published
2026-09-10
DOI
https://doi.org/10.3390/su18189301
Primary Topic
Infrastructure Maintenance and Monitoring
Type
article
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article

Cost–Accuracy Trade-Offs in Unpaved Rural Road Condition Assessment: Visual Indices and Smartphone-Based IRI in the Ecuadorian Andes

Javier Vasquez-Monteros, Victor Andre Ariza Flores, Francisco Morea, Ángela Alonso-Solórzano et al.
Sustainability
Infrastructure Maintenance and Monitoring
article

Cost–Accuracy Trade-Offs in Unpaved Rural Road Condition Assessment: Visual Indices and Smartphone-Based IRI in the Ecuadorian Andes

Javier Vasquez-Monteros, Victor Andre Ariza Flores, Francisco Morea, Ángela Alonso-Solórzano, Paul Fernando Córdova Faggioni
article en

Abstract

More than 90% of the road network of Loja, Ecuador, is unpaved and lacks an official condition metric. Low-cost measures relate to the IRI on pavements, but not demonstrably on unpaved roads. A 15 km Andean corridor was surveyed in one dry season with four visual–manual indices (URCI, MTC, PASER, ICNP), a Class III profilometer, and an uncalibrated smartphone application, over 150 stations harmonized from 60 native index observations, 30 for the MTC. A single profilometer run was moderately reliable (ICC = 0.631, 95% CI 0.559–0.699); four runs averaged 0.872, so repeated runs are a quantified requirement, not a convention. The application erred in level, not in spatial pattern (standardized ICC = 0.900), placing 88.7% of stations within one quartile of the reference: its role is segment-scale screening, not absolute IRI. Under leave-one-block-out spatial validation, the index–IRI equations retain an R2 of 0.32–0.40; MTC was the only index whose association depended on the measuring instrument (p = 0.010). Surveying on foot cost 4.45–12.36 USD/km against 23.68 for reference profilometry, whose largest item is the vehicle. A tiered cost–accuracy architecture is proposed, with URCI and ICNP as preliminary candidates for official adoption, subject to validation based on further corridors and in wet condition.

SustainabilityVol. 18(18)
Universidad Técnica Particular de Loja (EC), Federico Villarreal National University (PE), Universidad Francisco de Vitoria (ES), Universidad Nacional de La Plata (AR)
Sustainable cities and communities
Openalex Percentile: Top 21%
Infrastructure Maintenance and Monitoring
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Cost–Accuracy Trade-Offs in Unpaved Rural Road Condition Assessment: Visual Indices and Smartphone-Based IRI in the Ecuadorian Andes — Javier Vasquez-Monteros, Victor Andre Ariza Flores, et al. · Sustainability (2026) | TGRS Research Map | TGRS