Developing a Pavement Condition Assessment Method for Unpaved Roads Using the Analytic Hierarchy Process (AHP).
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| Title: | Developing a Pavement Condition Assessment Method for Unpaved Roads Using the Analytic Hierarchy Process (AHP). |
|---|---|
| Authors: | Musiime, Richard1 (AUTHOR) r.musiime@edu.salford.ac.uk, Ferriz-Papi, Juan1 (AUTHOR), Marshall-Ponting, Amanda1 (AUTHOR) |
| Source: | International Journal of Pavement Research & Technology. Jul2026, Vol. 19 Issue 7, p1917-1932. 16p. |
| Subjects: | Analytic hierarchy process, Statistical weighting, Road maintenance, Roads, Pavement testing |
| Geographic Terms: | Uganda |
| Abstract: | Approximately 95% of the total road network in Uganda is unpaved, and this heavy reliance on unpaved roads is predominant in most developing countries in the world. Consistent monitoring and evaluation of the condition of these unpaved roads is crucial, given the high risk of sudden pavement deterioration due to traffic and environmental factors. Current condition assessment methods are subjective, labor-intensive, and time-consuming, leading to inconsistent evaluations. This study proposes an enhanced approach for assessing the condition of unpaved roads in Uganda. The novel Gravel Road Condition Index (GRCI) was developed using the Analytic Hierarchy Process (AHP) to convert subjective questionnaire survey results into objective mathematical data. The AHP theory provided a quantitative method for weighting and ranking the nine key road surface distresses for unpaved roads in the Country. The weightings obtained for the nine distresses were a maximum of w1 = 0.311 for inadequate drainage and a minimum of w9 = 0.103 for rutting. The index was tested through an application on a case study road. The GRCI was then compared to the existing condition assessment method in Uganda. The findings indicated that the new method provides a fast, streamlined, and user-friendly procedure for assessing unpaved roads, utilizing objective weightings, and demonstrating consistency in its evaluations. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Pavement Research & Technology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 194969388 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Developing a Pavement Condition Assessment Method for Unpaved Roads Using the Analytic Hierarchy Process (AHP). – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Musiime%2C+Richard%22">Musiime, Richard</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> r.musiime@edu.salford.ac.uk</i><br /><searchLink fieldCode="AR" term="%22Ferriz-Papi%2C+Juan%22">Ferriz-Papi, Juan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Marshall-Ponting%2C+Amanda%22">Marshall-Ponting, Amanda</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Pavement+Research+%26+Technology%22">International Journal of Pavement Research & Technology</searchLink>. Jul2026, Vol. 19 Issue 7, p1917-1932. 16p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Analytic+hierarchy+process%22">Analytic hierarchy process</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+weighting%22">Statistical weighting</searchLink><br /><searchLink fieldCode="DE" term="%22Road+maintenance%22">Road maintenance</searchLink><br /><searchLink fieldCode="DE" term="%22Roads%22">Roads</searchLink><br /><searchLink fieldCode="DE" term="%22Pavement+testing%22">Pavement testing</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Uganda%22">Uganda</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Approximately 95% of the total road network in Uganda is unpaved, and this heavy reliance on unpaved roads is predominant in most developing countries in the world. Consistent monitoring and evaluation of the condition of these unpaved roads is crucial, given the high risk of sudden pavement deterioration due to traffic and environmental factors. Current condition assessment methods are subjective, labor-intensive, and time-consuming, leading to inconsistent evaluations. This study proposes an enhanced approach for assessing the condition of unpaved roads in Uganda. The novel Gravel Road Condition Index (GRCI) was developed using the Analytic Hierarchy Process (AHP) to convert subjective questionnaire survey results into objective mathematical data. The AHP theory provided a quantitative method for weighting and ranking the nine key road surface distresses for unpaved roads in the Country. The weightings obtained for the nine distresses were a maximum of w1 = 0.311 for inadequate drainage and a minimum of w9 = 0.103 for rutting. The index was tested through an application on a case study road. The GRCI was then compared to the existing condition assessment method in Uganda. The findings indicated that the new method provides a fast, streamlined, and user-friendly procedure for assessing unpaved roads, utilizing objective weightings, and demonstrating consistency in its evaluations. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Pavement Research & Technology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s42947-025-00555-y Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 1917 Subjects: – SubjectFull: Analytic hierarchy process Type: general – SubjectFull: Statistical weighting Type: general – SubjectFull: Road maintenance Type: general – SubjectFull: Roads Type: general – SubjectFull: Pavement testing Type: general – SubjectFull: Uganda Type: general Titles: – TitleFull: Developing a Pavement Condition Assessment Method for Unpaved Roads Using the Analytic Hierarchy Process (AHP). Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Musiime, Richard – PersonEntity: Name: NameFull: Ferriz-Papi, Juan – PersonEntity: Name: NameFull: Marshall-Ponting, Amanda IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 19971400 Numbering: – Type: volume Value: 19 – Type: issue Value: 7 Titles: – TitleFull: International Journal of Pavement Research & Technology Type: main |
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