Relationship between Traffic Volume and ‎Economic LossFrom Delays ‎Along President Jose P. LaurelHighway, Lipa City, Batangas

  • Authors

    • Don Carlo Bravo B. Cuya College of Engineering, Batangas State University, The National Engineering University, Philippines
    • Virgilio Yap College of Accountancy, Business and Economics, Batangas State University, The National Engineering University, Philippines
    https://doi.org/10.14419/c8qrh404

    Received date: January 9, 2026

    Accepted date: January 26, 2026

    Published date: January 31, 2026

  • Economic Loss; Traffic Congestion; Traffic Volume; Travel Delay; Value of Time (VOT)‎.

  • Abstract

    Traffic congestion is a persistent urban transportation problem that imposes substantial economic losses through travel delays, increased ‎fuel consumption, and reduced productivity. This study examines the relationship between traffic volume and economic loss resulting ‎from traffic delays along President Jose P. Laurel Highway, a major arterial corridor in Lipa City, Batangas. Using one week of peak-‎hour field observations, data were collected on vehicle volume, average delay per vehicle, and additional fuel consumption. Economic ‎losses were estimated using standard transportation economics approaches, including the Value of Time (VOT) method and fuel cost ‎valuation. Pearson correlation and simple linear regression analyses were employed to quantify the relationship between traffic volume ‎and congestion-related economic losses. The results reveal a strong and statistically significant positive relationship between traffic volume and economic loss, with delay duration identified as the primary contributor to congestion costs. Comparative analysis further ‎shows that PM peak periods generate higher marginal economic losses than AM peak periods, reflecting intensified end-of-day travel ‎demand. These findings demonstrate that traffic congestion along President Jose P. Laurel Highway is not merely an operational concern but a significant economic burden. The study provides empirical evidence to support targeted traffic management measures, infrastructure improvements, and demand management strategies aimed at reducing congestion-related economic losses in Lipa City‎.

  • References

    1. Asian Development Bank. (2019). Traffic congestion and economic impacts: Evidence from Asian cities. Asian Development Bank. https://www.adb.org/publications/traffic-congestion-economic-impacts
    2. Escabel, E. L., Hintural, L. R., Hernandez, A. A., Robles, J. C., Mendoza, E. E., & Faner, D. D. (2016). Traffic management in San Pascual, Batan-gas. College of Criminology Research Journal, 7, 1–12. https://research.lpubatangas.edu.ph/wp-content/uploads/2019/02/CRIM-2016-001.pdf
    3. Litman, T. (2023). Congestion costs and congestion pricing. Victoria Transport Policy Institute. https://www.vtpi.org/cong_cost.pdf
    4. Transportation Research Board. (2016). Highway capacity manual (6th ed.). National Academies Press.
    5. Vickrey, W. S. (1969). Congestion theory and transport investment. American Economic Review, 59(2), 251–260.

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  • How to Cite

    Cuya , D. C. B. B. ., & Yap , V. . (2026). Relationship between Traffic Volume and ‎Economic LossFrom Delays ‎Along President Jose P. LaurelHighway, Lipa City, Batangas. International Journal of Accounting and Economics Studies, 13(1), 603-607. https://doi.org/10.14419/c8qrh404