Pavement Condition Evaluation of the Kapalong-Talaingod-Valencia (Bukidnon) Road in Mindanao, Philippine

Neil Ian O. Tagaan^1, and Jonathan B. Calibara¹

¹Department of Civil Engineering, University of Science and Technology of Southern Philippines, Cagayan de Oro City, Philippines

Cite this paper:
Neil Ian O. Tagaan and Jonathan B. Calibara. Pavement Condition Evaluation of the Kapalong-Talaingod-Valencia (Bukidnon) Road in Mindanao, Philippine. American Journal of Civil Engineering and Architecture. 2026; 14(1):20-25. doi: 10.12691/ajcea-14-1-3

Abstract

Roads are public assets whose pavement condition directly influences safety, mobility, and sustainability. Corridors in steep, high‑rainfall terrain with heavy truck traffic deteriorate quickly, requiring systematic evaluation. This study assesses a 51.541-km section of the Kapalong–Talaingod–Valencia (Bukidnon) Road (K1538+(-687) to K1588+854) using the Department of Public Works and Highways (DPWH) Visual Condition Index (VCI) . Multi‑year VCI records (2021–2024) were analyzed alongside a 2025 field survey to classify current conditions, identify distress types, and derive maintenance implications. Results show that Poor segments exhibit mixed cracking and surface wear, while Bad segments combine wide cracking, shattered slabs, and slope/road‑slip indicators . Five‑year trends reveal untreated sections sliding from Fair/Poor to Bad, whereas targeted interventions restored selected stretches to Good. Quarry haul traffic and geohazards emerged as key accelerants of deterioration. Prioritized treatment guidance is proposed: reconstruction for short failing stretches with structural distress; rehabilitation overlays for longer Poor sections; and preventive maintenance for Fair/Good corridors . Currently, 41.44% of the corridor is rated Fair, while 10.12% is rated Poor/Bad. Strategic implementation of preventive maintenance on Good/Fair sections, coupled with rehabilitation and reconstruction of isolated Bad spots, could by 2027 raise Good >50% and reduce Poor+Bad <5%, while closing the 4.27% data gap. These findings highlight the importance of proactive asset management in sustaining serviceability under challenging terrain and traffic conditions.

Keywords:
pavement condition Visual Condition Index mountain corridors road maintenance Philippines

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References:

[1]	Department of Public Works and Highways (DPWH), "Updating of the Road Network Definition and Inventory Update Manual and Visual Road Condition Assessment Manual under the Road and Bridge Information Application (Department Order No. 120, s. 2019)," DPWH, 2019. Available: https:// www.dpwh.gov.ph/ dpwh/sites/default/files/issuances/do_120_s2019.pdf. [Accessed Feb. 9, 2026].
[2]	M. Isradi, "Analysis of the damage of rigid pavement road by using Pavement Condition Index (PCI)," Journal of Applied Science, Engineering, Technology, and Education, 1 (2), 2019.
[3]	M. Isradi, A.D. Hedianto, A.I. Rifai, A. Mufhidin, and J. Prasetijo, "Comparison of PCI (Pavement Condition Index) and SDI (Surface Distress Index) in identification of urban road damage," ADRI International Journal of Engineering and Natural Science, 6 (1), 2021.
[4]	A. Setyawan, J. Nainggolan, and A. Budiarto, "Predicting the remaining service life of road using pavement condition index," Procedia Engineering, 125, 417–423, 2015.
[5]	Y.U. Shah, S.S. Jain, D. Tiwari, and M.K. Jain, "Development of overall pavement condition index for urban road network," Procedia - Social and Behavioral Sciences, 104, 332–341, Dec. 2013.
[6]	Department of Public Works and Highways (DPWH), "Revised guidelines on the functional classification of roads (Department Order No. 133, s. 2018)," DPWH, 2018. Available: https:// www.dpwh.gov.ph. [Accessed Feb. 9, 2026].
[7]	M. Isradi, H. Dwiatmoko, A. Subhana, J. Prasetijo, and N. Hartatik, "Evaluation of the road pavement damage with Bina Marga method and Pavement Condition Index method," in Proceedings of the International Conference on Industrial Engineering and Operations Management (IEOM), IEOM Society International, Detroit, USA, 2020.
[8]	J.J.L. Montebon, J.P.Y. Yape, M.C.Y. Abaquita, and A.J.Q. Gabuya, "Pavement condition evaluation of the cluster barangays of Poblacion, Tuburan, Cebu: A pavement management system," SSRG International Journal of Recent Engineering Science, 11 (4), 31–40, 2024.
[9]	L.B. Bronuela-Ambrocio, J.A.B. Ramos, H.S.O. Palmiano, J.P.T. Dacanay, L.V. Torio-Kaimo, P. Padre Jr., and K. Tactac, "A review of the Philippine Visual Condition Index by experts’ validation," International Journal of Structural and Civil Engineering Research, 13 (4), 114–120, 2024.
[10]	J.A.B. Ramos, J.P.T. Dacanay, and L.B. Bronuela-Ambrocio, "A review of the current practices in the pavement surface monitoring in the Philippines," in Proceedings of the 28th Annual Conference of the Transportation Science Society of the Philippines, 2022. Available: https://ncts.upd.edu.ph/tssp/archives/2213.
[11]	ASTM International, Standard practice for roads and parking lots pavement condition index surveys (ASTM D6433-07), ASTM International, 2007.
[12]	Google, "Route from K1538+(-687) to Salolong Bridge K1588+854, Bukidnon, Philippines," Google Maps, 2025. Available: https:// www.google.com/ maps. [Accessed Apr. 27, 2025].
[13]	N.J. Garber and L.A. Hoel, Traffic and Highway Engineering, 4th ed., Cengage, 2009.
[14]	M. Elmansouri, A. Abuhamida, and A. Elfergani, "Comparative evaluation of pavement assessment models: PCI and MCDM," Journal of Transportation Engineering, Part B: Pavements, 148 (4), 04022045, Dec. 2022.
[15]	S. Chambon and J.-M. Moliard, "Automatic road pavement assessment with image processing: Review and comparison," International Journal of Geophysics, 2011, Article ID 989354, 2011.