Development of Airport Pavement Condition Evaluation Using Dominant Damage and Grid-Based Analysis

Aris Wibowo; Ade Sjafruddin; Bambang S. Subagio; Russ Bona Frazila

doi:10.28991/CEJ-2025-011-05-011

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Aris Wibowo
35021307@mahasiswa.itb.ac.id
Faculty of Civil and Environmental Engineering, Bandung Institute of Technology, Bandung, West Java, 40132, Indonesia
Ade Sjafruddin Faculty of Civil and Environmental Engineering, Bandung Institute of Technology, Bandung, West Java, 40132, Indonesia
Bambang S. Subagio Faculty of Civil and Environmental Engineering, Bandung Institute of Technology, Bandung, West Java, 40132, Indonesia
Russ Bona Frazila Faculty of Civil and Environmental Engineering, Bandung Institute of Technology, Bandung, West Java, 40132, Indonesia

Vol. 11 No. 5 (2025): May

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Airport Pavement Condition Index (PCI) is a measure of pavement stability represented by an index ranging from 0 (failed) to 100 (best). The PCI evaluation procedure includes a series of steps, which are time-consuming and expensive. Therefore, this study aimed to propose an alternative PCI evaluation procedure that focused on major pavement damage using a grid-based system. The methods used in the analysis included discussions with expert panels and linear & nonlinear regression analysis. The results of the deduct value curve showed good statistical performance with an average RMSE of 1.80 and an average R² value of 0.85. The sample unit size with a grid system of 3í—5 m² produced good accuracy with an average standard deviation of 7.89 at the study locations of PKY, TJQ, and TKG airports. Additionally, the PCI value decline model as a function of pavement age produced an estimated PCI decline of 3.23 per year. Grid-based PCI analysis was further proven to improve the accuracy of PCI values and consequently increased the efficiency of runway condition investigation time and costs by 27.30% compared to standard methods. Future studies were recommended to integrate this PCI evaluation procedure with a classification algorithm for airport pavement damage.

Doi: 10.28991/CEJ-2025-011-05-011

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Publication Start Year:	2015
JCR 2023 Impact Factor (IF):	4.3
JIF QUARTILE:	Q1
SJR 2023 Quartile:	Q1
Acceptance Rate:	27%
Review Speed (Average):	76 days
Issue Per Year:	12
Number of Volumes:	10
Number of Issues:	107
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Number of Reviewers:	3417
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WoS h-index:	34
Scopus CiteScore:	7.0
No. of Google Citations:	17324
Google h-index:	47
Google i10-index:	393
Abstract Views:	5,819,908
PDF Download:	3,790,637

Development of Airport Pavement Condition Evaluation Using Dominant Damage and Grid-Based Analysis

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