International conference on construction engineering and project management (국제학술발표논문집)

  • 2024.07a
  • /
  • Pages.209-215
  • /
  • 2024
  • /
  • 2508-9048(eISSN)
Korea Institute of Construction Engineering and Management (한국건설관리학회)
권호 표지
DOI QR코드

DOI QR Code

Development of Infrastructure Maintenance Map based on GIS Data for Efficient Budget Management

  • Changjun Lee (Department of Construction Policy Research, Korea Institute of Civil Engineering and Building Technology) ;
  • Taeil Park (Department of Construction Policy Research, Korea Institute of Civil Engineering and Building Technology) ;
  • Yongwoon Cha (Department of Construction Policy Research, Korea Institute of Civil Engineering and Building Technology)
  • Published : 2024.07.29
Download PDF
⟨ Previous Next ⟩

Abstract

Many developed countries, including Korea, are rapidly aged owing to years of use. Infrastructures such as roads, water, and sewage are Social Overhead Capital (SOC), which provide convenience to the nation and support national economic growth. Thus, continuous maintenance and investment are required because infrastructure deterioration is directly related to social effects, such as quality of life and safety. In addition, because infrastructure maintenance costs a lot of the budget, it is necessary to appropriate criteria for budget allocation, given assessing the condition of infrastructure. This study developed an Infrastructure Maintenance Map (IMM) based on a Geographic Information System (GIS) for infrastructure maintenance budgets and investment priorities. The IMM uses maintenance information for roads, bridges, water, and sewage, obtained from Bridge Management System (BMS), Pavement Management System (PMS) and facility data in South Korea. The IMM can calculate deterioration levels and maintenance costs of infrastructure repair methods. Maintenance priorities are also evaluated based on Multi-Attribute Utility Theory using the deterioration level, economic feasibility, and effect of facilities. This study contributes to easy decision-making regarding infrastructure investment priorities and maintenance budgeting to the status of facility on the 3D map by IMM.

Keywords

Acknowledgement

Research for this paper was carried out under the KICT Research Program (project no. 2024089-001, The construction policy and construction management development strategy) funded by the Ministry of Science and ICT.

References

  1. C. Lee, W. Park, Y. Cha, Y. H. Jang, T. Park, "Development of defect-repair method-cost mapping algorithm of concrete bridge using BMS data", KSCE Journal of Civil and Environmental Engineering Research, vol. 43, no. 2, 2023.
  2. J. H. Kim, J. W. Rim, "Key contents and prospects of the U.S. infrastructure investment plan", [KIEP] World Economy Focus, vol. 4, no. 17, 2021.
  3. C. Lee, T. Park, "Comparative Analysis of Status and Policies of Infrastructure Maintenance between Korea and Developed Countries", Proceedings of KICEM Annual Conference, 2023.
  4. Federal Ministry of Transport and Digital Infrastructure, "Grundkonzeption fur den Bundesverkehrswegeplan 2015", 2014.
  5. J. Cho, S. H. Hong, "Japanese government's aging infrastructure response system and implications", [RICON] Construction Policy Review, vol. 2021-01, 2021.
  6. D. Von Winterfeldt, G. W. Fischer. "Multi-attribute utility theory: models and assessment procedures." Utility, Probability, and Human Decision Making: Selected Proceedings of an Interdisciplinary Research Conference, Rome, 3-6 September, 1973. Dordrecht: Springer Netherlands, 1975.