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Benefit–Cost Analysis of Building Information Modeling (BIM) in a Railway Site

Author

Listed:
  • Min Ho Shin

    (Railroad System Research Center, Korea Railroad Research Insititute, 360-1 Woram-dong, Uiwang 437-757, Korea)

  • Hye Kyung Lee

    (Super-Tall Building Global R&D Center, Dankook University, 152, Jukjeon-ro, Yongin-si 16876, Korea)

  • Hwan Yong Kim

    (Division of Architecture & Urban Design, College of Urban Sciences, Incheon National University, 119 Academy-Ro, Yeonsu-Gu, Incheon 22012, Korea)

Abstract

Recent technological improvements have made substantial changes in construction industry. In specific, some technical applications, such as Building Information Modeling (BIM), open up many possibilities. Some studies have articulated the use of BIM and its advantages in construction, but most of them are theoretical, not practical. This study is to provide an insight to obstacles in BIM research. By investigating a real project that could utilize BIM in planning and construction phases, the authors try to investigate a possible outline of advantages in BIM implementation. The study area was set to a railway construction site in South Korea. The site covers multiple railway tracks, stations, telecommunication facilities, infrastructure facilities, railway structures, and so on. In the site, the authors have identified 12 errors in 7 projects that could be prevented if BIM was utilized before the construction. The total upfront costs required to provide a BIM for the seven projects was $116,348. On the other hand, the total costs required to fix the errors in the seven projects was $166,486. This can be regarded as the benefit of using BIM, because if BIM was implemented then the associated errors could easily be replaced. Therefore, the benefit–cost ratio can be estimated as 1.32 for one-month delay and 1.36 for a three-month delay.

Suggested Citation

  • Min Ho Shin & Hye Kyung Lee & Hwan Yong Kim, 2018. "Benefit–Cost Analysis of Building Information Modeling (BIM) in a Railway Site," Sustainability, MDPI, vol. 10(11), pages 1-10, November.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:11:p:4303-:d:184195
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    References listed on IDEAS

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    1. Marius Reizgevičius & Leonas Ustinovičius & Diana Cibulskienė & Vladislavas Kutut & Lukasz Nazarko, 2018. "Promoting Sustainability through Investment in Building Information Modeling (BIM) Technologies: A Design Company Perspective," Sustainability, MDPI, vol. 10(3), pages 1-22, February.
    2. Sungwoo Lee & Sungho Tae & Seungjun Roh & Taehyung Kim, 2015. "Green Template for Life Cycle Assessment of Buildings Based on Building Information Modeling: Focus on Embodied Environmental Impact," Sustainability, MDPI, vol. 7(12), pages 1-15, December.
    3. Ghaffarianhoseini, Ali & Tookey, John & Ghaffarianhoseini, Amirhosein & Naismith, Nicola & Azhar, Salman & Efimova, Olia & Raahemifar, Kaamran, 2017. "Building Information Modelling (BIM) uptake: Clear benefits, understanding its implementation, risks and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 1046-1053.
    4. Jin-Up Kim & Oussama A. Hadadi & Hyunjoo Kim & Jonghyeob Kim, 2018. "Development of A BIM-Based Maintenance Decision-Making Framework for the Optimization between Energy Efficiency and Investment Costs," Sustainability, MDPI, vol. 10(7), pages 1-15, July.
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    Cited by:

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    2. Agnieszka Leśniak & Monika Górka & Izabela Skrzypczak, 2021. "Barriers to BIM Implementation in Architecture, Construction, and Engineering Projects—The Polish Study," Energies, MDPI, vol. 14(8), pages 1-20, April.
    3. José Ángel Aranda & Norena Martin-Dorta & Ferran Naya & Julián Conesa-Pastor & Manuel Contero, 2020. "Sustainability and Interoperability: An Economic Study on BIM Implementation by a Small Civil Engineering Firm," Sustainability, MDPI, vol. 12(22), pages 1-16, November.
    4. Yongliang Deng & Jinyun Li & Qiuting Wu & Shuangshuang Pei & Na Xu & Guodong Ni, 2020. "Using Network Theory to Explore BIM Application Barriers for BIM Sustainable Development in China," Sustainability, MDPI, vol. 12(8), pages 1-22, April.
    5. You Wang & Ziwei Wang & Tingting Ma & Guowei Li & Huixia Tie, 2022. "Research on the Realization Path of Railway Intelligent Construction Based on System Engineering," Sustainability, MDPI, vol. 14(11), pages 1-15, June.
    6. Xinyu Liu & Daan Schraven & Mark de Bruijne & Martin de Jong & Marcel Hertogh, 2019. "Navigating Transitions for Sustainable Infrastructures—The Case of a New High-Speed Railway Station in Jingmen, China," Sustainability, MDPI, vol. 11(15), pages 1-21, August.

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