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Article | Civil and Sustainable Urban Engineering | Volume 6 - Issue 1 - 2026 | 157−168 | https://doi.org/10.53623/csue.v6i1.957
© 2026 by the author(s), and is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) License Creative Commons Attribution 4.0 International (CC BY 4.0) License

Comparative Assessment of Pavement Distress on Wangandawa Road Using Pavement Condition Index, Surface Distress Index, and Bina Marga Methods

Author(s): Suprapto Hadi , Ikbarul Zikri , Antika Tri Cahyanti , Nasywa Maulidya Putri , Nurina Vidya Ayuningtyas , Raditya Faris Nailulloh
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Politeknik Keselamatan Transportasi Jalan, Jl. Perintis Kemerdekaan No.17, Slerok, Kec. Tegal Timur, Kota Tegal, Jawa Tengah 52125, Indonesia

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Civil and Sustainable Urban Engineering

Volume 6 - Issue 1 - 2026

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Pavement wear in tropical areas stemmed from intense rainfall, varying traffic volumes, and scarce upkeep funds, so solid evaluation techniques were essential for smart maintenance scheduling. In this work, we compared three key methods for assessing pavement condition: the Pavement Condition Index (PCI), Surface Distress Index (SDI), and Indonesia’s Bina Marga standard, all tested on one flexible pavement stretch. What set this study apart from earlier research mostly focused on a single approach, was its examination of how these methods differed in sensitivity, their impact on decision-making, and how consistently they aligned when applied to the same road section. We divided a 660-meter portion of Wangandawa Road into seven 100-meter segments and surveyed them using standard visual inspections for pavement distress. PCI scores ranged from 45 to 100 (average 71.0), indicating conditions from fair to excellent and showing sharp differences between segments. SDI scores ranged from 0 to 80, classifying conditions as good to moderate, whereas the Bina Marga method classified every segment under Priority A maintenance, showing no variation. When we compared the three approaches, PCI proved more sensitive in identifying fine-scale distress patterns, while SDI and Bina Marga demonstrated greater practicality for rapid network-level assessments. These findings supported the continued use of visual inspection methods for pavement evaluation in tropical regions and highlighted the importance of selecting an appropriate index for practical decision-making. PCI was suitable for detailed planning of rehabilitation and reconstruction, whereas SDI or Bina Marga were more suitable for quick assessments and routine maintenance planning.

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SUBMITTED: 08 December 2025
ACCEPTED: 10 March 2026
PUBLISHED: 13 March 2026
SUBMITTED to ACCEPTED: 92 days
DOI: https://doi.org/10.53623/csue.v6i1.957

Cite this article
Hadi, S. ., Zikri, I. ., Cahyanti, A. T. ., Putri, N. M. ., Ayuningtyas, N. V. ., & Nailulloh, R. F. . (2026). Comparative Assessment of Pavement Distress on Wangandawa Road Using Pavement Condition Index, Surface Distress Index, and Bina Marga Methods. Civil and Sustainable Urban Engineering, 6(1), 157−168. https://doi.org/10.53623/csue.v6i1.957
Keywords
Pavement condition assessment maintenance prioritization surface distress evaluation flexible pavement comparative methodology.
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