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System Dynamics Model for the Improvement Planning of School Building Conditions

Author

Listed:
  • Suhyun Kang

    (School of Architecture, Yeungnam University, 280 Daehak-ro, Gyeongsan-si, Gyeongbuk 38541, Korea)

  • Sangyong Kim

    (School of Architecture, Yeungnam University, 280 Daehak-ro, Gyeongsan-si, Gyeongbuk 38541, Korea)

  • Seungho Kim

    (Department of Architecture, Yeungnam University College, 170 Hyeonchung-ro, Nam-gu, Daegu 42415, Korea)

  • Dongeun Lee

    (School of Architecture & Civil and Architectural Engineering, Kyungpook National University, 80 Daehak-ro, Buk-gu, Daegu 41566, Korea)

Abstract

As the number of aged infrastructures increases every year, a systematic and effective asset management strategy is required. One of the most common analysis methods for preparing an asset management strategy is life cycle cost analysis (LCCA). Most LCCA-related studies have focused on traffic and energy; however, few studies have focused on school buildings. Therefore, an approach should be developed to increase the investment efficiency for the performance improvement of school buildings. Planning and securing budgets for the performance improvement of school building is a complex task that involves various factors, such as current conditions, deterioration behavior and maintenance effect. Therefore, this study proposes a system dynamics (SD) model for the performance improvement of school buildings by using the SD method. In this study, an SD model is used to support efficient decision-making through policy effect analysis, from a macro-perspective, for the performance improvement of school buildings.

Suggested Citation

  • Suhyun Kang & Sangyong Kim & Seungho Kim & Dongeun Lee, 2020. "System Dynamics Model for the Improvement Planning of School Building Conditions," Sustainability, MDPI, vol. 12(10), pages 1-16, May.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:10:p:4235-:d:361284
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    References listed on IDEAS

    as
    1. Liu, Xue & Ma, Shoufeng & Tian, Junfang & Jia, Ning & Li, Geng, 2015. "A system dynamics approach to scenario analysis for urban passenger transport energy consumption and CO2 emissions: A case study of Beijing," Energy Policy, Elsevier, vol. 85(C), pages 253-270.
    2. Guo, Yingjian & Hawkes, Adam, 2019. "Asset stranding in natural gas export facilities: An agent-based simulation," Energy Policy, Elsevier, vol. 132(C), pages 132-155.
    3. Feng, Y.Y. & Chen, S.Q. & Zhang, L.X., 2013. "System dynamics modeling for urban energy consumption and CO2 emissions: A case study of Beijing, China," Ecological Modelling, Elsevier, vol. 252(C), pages 44-52.
    4. Emily M. Zechman, 2011. "Agent‐Based Modeling to Simulate Contamination Events and Evaluate Threat Management Strategies in Water Distribution Systems," Risk Analysis, John Wiley & Sons, vol. 31(5), pages 758-772, May.
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    Cited by:

    1. Bjarnhedinn Gudlaugsson & Dana Abi Ghanem & Huda Dawood & Gobind Pillai & Michael Short, 2022. "A Qualitative Based Causal-Loop Diagram for Understanding Policy Design Challenges for a Sustainable Transition Pathway: The Case of Tees Valley Region, UK," Sustainability, MDPI, vol. 14(8), pages 1-49, April.
    2. Sunkuk Kim, 2021. "Technology and Management for Sustainable Buildings and Infrastructures," Sustainability, MDPI, vol. 13(16), pages 1-3, August.

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