Cha, K. H., Kim, J. H. and Kong, J. S. (2015). “Development of the deterioration models for the port structures by the multiple regression analysis and markov chain.” Journal of the Computational Structural Engineering Institute of Korea, Vol. 28, No. 3, pp. 229-239. DOI: https://doi.org/10.7734/COSEIK. 2015.28.3.229 (in Korean).

Ghodoosi, F., Abu-Samra, S., Zeynalian, M. and Zayed, T. (2018). “Maintenance cost optimization for bridge structures using system reliability analysis and genetic algorithms.” Journal of Construction Engineering and Management, Vol. 144, No. 2, 04017116. DOI: 10.1061/(ASCE)CO.1943-7862.0001435.

Gui, C., Zhang, J., Lei, J., Hou, Y., Zhang, Y. and Qian, Z. (2021). “A comprehensive evaluation algorithm for project-level bridge maintenance decision-making.” Journal of Cleaner Production, Vol. 289, 125713. DOI: https://doi.org/10.1016/j.jclepro.2020. 125713.

Jaafaru, H. and Agbelie, B. (2022). “Bridge maintenance planning framework using machine learning, multi-attribute utility theory and evolutionary optimization models.” Automation in Construction, Vol. 141, 104460. DOI: https://doi.org/10.1016/j.autcon.2022.104460.

Jeong, Y. S., Kim, W. S., Lee, I. K. and Lee, J. H. (2016). “Bridge life cycle cost analysis of preventive maintenance.” Journal of the Korea Institute for Structural Maintenance and Inspection, Vol. 20, No. 6, pp. 1-9. DOI: https://doi.org/10.11112/jksmi.2016. 20.6.001 (in Korean).

Kim, D. J. and Lee, M. J. (2017). “Basic study for development of risk based bridge maintenance priority decision model.” Korean Journal of Construction Engineering and Management, Vol. 18, No. 2, pp. 108-116. DOI: https://doi.org/10.6106/KJCEM.2017. 18.2.108 (in Korean).

Kim, J. H., Jung, I. S., Yun, W. G., Kim, J. Y. and Park, I. S. (2021). “Preliminary analysis on artificial intelligence-based methodology for selecting repair and rehabilitation methods of bridges.” Journal of Korean Society of Industry Convergence, Vol. 24, No. 6, pp. 861-872. DOI: https://doi.org/10.21289/KSIC.2021.24.6.861 (in Korean).

Kim, J. K. and Jang, I. Y. (2017). “Proposal of domestic road bridge deck deterioration models and forecast of replacement demand.” Journal of the Korea Institute for Structural Maintenance and Inspection, Vol. 21, No. 4, pp. 61-68. DOI: https://doi.org/ 10.11112/jksmi.2017.21.4.061 (in Korean).

Lee, D. H., Kim, J. W., Jun, T. H., Jeong, W. S. and Park, K. T. (2016). “Development of performance prediction method for bridge and tunnel management decision-making.” Journal of the Korea Institute for Structural Maintenance and Inspection, Vol. 20, No. 1, pp. 33-40. DOI: https://doi.org/10.11112/jksmi.2016. 20.1.033 (in Korean).

Lee, J. H., Choi, Y. R., Ann, H. J. and Kong, J. S. (2019). “The preventive maintenance strategy in operation stage of bridge using bayesian inference.” Journal of the Korean Society of Civil Engineers, KSCE, Vol. 39, No. 1, pp. 135-146. DOI: https:// doi.org/10.12652/Ksce.2019.39.1.0135 (in Korean).

Lee, J. H., Lee, K. Y., Ahn, S. M. and Kong, J. S. (2018). “Proposal of maintenance scenario and feasibility analysis of bridge inspection using bayesian approach.” Journal of the Korean Society of Civil Engineers, KSCE, Vol. 38, No. 4, pp. 505-516. DOI: https://doi.org/10.12652/Ksce.2018.38.4.0505 (in Korean).

Lee, M. J., Park, K. H., Park, C. W., Sun, J. W. and Lee, D. Y. (2010). “A study on asset valuation method for bridge asset management.” Korean Journal of Construction Engineering and Management, Vol. 11, No. 6, pp. 35-44. DOI: https://doi.org/ 10.6106/KJCEM.2010.11.6.35 (in Korean).

Lee, Y. S. (2012). “The research on economic valuation of maintenance alternatives for bridge.” Journal of the Korean Society of Civil Engineers, KSCE, Vol. 32, No. 4D, pp. 387-396. DOI: https://doi.org/10.12652/Ksce.2012.32.4D.387 (in Korean).

Lim, C. S., Kim, D. J., Hwang, K. R., Shin, B. K., Park, K. S., Oh, H. S., Lee, S. O., Kim, D. H., Yu, H. J., Lee, S. Y. and Bang, Y. J. (2021). A study on the improvement of facility safety management system in accordance with climate change, Korea Authority of Land & Infrastructure Safety (KALIS), and Korea Institute for Structural Maintenance and Inspection, Republic of Korea, pp. 112 (in Korean).

Ministry of Land, Infrastructure and Transport (MOLIT), Korea Institute of Civil Engineering and Building Technology (KICT) (2021). 2021 Construction standard production rate, Ministry of Land Infrastructure and Transport, Korea (in Korean).

Park, K. H., Kong, J. S., Hwang, Y. K. and Cho, H. N. (2006). “Development of bridge maintenance method based on life-cycle performance and cost.” Korean Journal of Construction Engineering and Management, Vol. 26, No. 6A, pp. 1023-1032 (in Korean).

Park, K. H., Lee, S. Y., Hwang, Y. K., Kong, J. S. and Lim, J. K. (2007a). “Development of the performance-based bridge maintenance system to generate optimum maintenance strategy considering life-cycle cost.” Journal of the Korea Institute for Structural Maintenance and Inspection, Vol. 11, No. 4, pp. 109-121 (in Korean).

Park, K. H., Sun, J. W., Lee, S. Y., Lee, J, S. and Cho, H. N. (2007b). “Practical model to estimate road user cost for bridge maintenance strategy.” Journal of the Korea Institute for Structural Maintenance and Inspection, Vol. 11, No. 7, pp. 131-144 (in Korean).

Sun, J. W., Lee, D. Y. and Park, K. H. (2016). “Development on repair and reinforcement cost model for bridge life-cycle maintenance cost analysis.” Journal of the Korea Academia- Industrial Cooperation Society, Vol. 17, No. 11, pp. 128-134. DOI: https://doi.org/10.5762/KAIS.2016.17.11.128 (in Korean).

Sun, J. W., Lee, H. S. and Park, K. H. (2018). “Development of maintenance cost estimation method considering bridge performance changes.” Journal of Korea Academia-Industrial cooperation Society, Vol. 19, No. 12, pp. 717-724. DOI: https://doi.org/10.5762/ KAIS.2018.19.12.717 (in Korean).

World Economic Forum (WEF) (2019). The global competitiveness report 2019, Switzerland.

Xie, H. B., Wu, W. J. and Wang, Y. F. (2018). “Life-time reliability based optimization of bridge maintenance strategy considering LCA and LCC.” Journal of Cleaner Production, Vol. 176, pp. 36-45. DOI: https://doi.org/10.1016/j.jclepro.2017.12.123.