A comparative analysis of pci-only and multi-criteria priority index methods for pavement maintenance

This study compares expert-based multi-criteria decision analysis (MCDA) with the traditional Pavement Condition Index (PCI) for prioritizing pavement maintenance. Using data on PCI, traffic volume, crashes, costs, and public complaints, along with weights from 35 experts, the research developed different prioritization scenarios. The MCDA approach, using average expert weights, assigned the highest importance to public complaints (PC: 30.7%) and traffic volume (ADT: 17.9%), significantly shifting priorities from the PCI-only method. Sensitivity analysis revealed the ranking framework is robust, with results remaining consistent despite moderate variations in expert judgment. The factors most influential in changing rankings were public complaints (PC), crash data (CR), and maintenance cost (MC). The findings demonstrate that integrating expert judgment with objective data creates more robust and inclusive maintenance plans, providing valuable insights for transportation agencies.

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Publication Details

Journal
Discover Civil Engineering
Published
2026-03-09
DOI
https://doi.org/10.1007/s44290-026-00445-7
Primary Topic
Infrastructure Maintenance and Monitoring
Type
article
Field-Weighted Citation Impact
0.00

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article

A comparative analysis of pci-only and multi-criteria priority index methods for pavement maintenance

Amjad Issa, Huthaifa I. Ashqar, Yara Zayed
Discover Civil Engineering
Infrastructure Maintenance and Monitoring
article

A comparative analysis of pci-only and multi-criteria priority index methods for pavement maintenance

Amjad Issa, Huthaifa I. Ashqar, Yara Zayed
article en

Abstract

This study compares expert-based multi-criteria decision analysis (MCDA) with the traditional Pavement Condition Index (PCI) for prioritizing pavement maintenance. Using data on PCI, traffic volume, crashes, costs, and public complaints, along with weights from 35 experts, the research developed different prioritization scenarios. The MCDA approach, using average expert weights, assigned the highest importance to public complaints (PC: 30.7%) and traffic volume (ADT: 17.9%), significantly shifting priorities from the PCI-only method. Sensitivity analysis revealed the ranking framework is robust, with results remaining consistent despite moderate variations in expert judgment. The factors most influential in changing rankings were public complaints (PC), crash data (CR), and maintenance cost (MC). The findings demonstrate that integrating expert judgment with objective data creates more robust and inclusive maintenance plans, providing valuable insights for transportation agencies.

Discover Civil EngineeringVol. 3(1)
An-Najah National University (PS), Arab American University (PS), Columbia University (US)
An-Najah National University
Openalex Percentile: Top 29%
Infrastructure Maintenance and Monitoring
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A comparative analysis of pci-only and multi-criteria priority index methods for pavement maintenance — Amjad Issa, Huthaifa I. Ashqar, et al. · Discover Civil Engineering (2026) | TGRS Research Map | TGRS