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Drivers of BIM Implementation in a High Rise Building Project

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Advances in Building Information Modeling (EBF 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1188))

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Abstract

The Architectural, Engineering and Construction (AEC) industry is in a transition process that deeply affects the long-established ways of collaboration to complete a project. Building Information Modeling (BIM) is at the core of this process by enabling all the project data digitally available to all stakeholders. In recent years, AEC firms have spent great efforts and resources to implement BIM in their business tasks and they have both common and different reasons for the BIM-centered transformation. These reasons have to do with the pre-defined driving factors that initiate the utilization of BIM. In order to achieve a successful BIM implementation process, these driving factors need to be identified. The primary objective of this study is to systematically identify the drivers of the BIM implementation process using a high rise building project as a case study. In this respect, an extensive literature review was conducted to determine the driving factors that will be used for detailed analysis for a case study. A total of 42 papers were selected related to the BIM implementation process. An initial list of 44 drivers was identified and among these drivers, the frequency was calculated based on the total number of citations. This initial list was modified to obtain a more refined list by grouping/merging similar factors and deleting some irrelevant ones. Three levels of influences namely, industry-level, firm-level and project-level were defined to distinguish the perspectives of the industry, companies, and project teams. A high rise construction project was selected as a case study to analyze the identified drivers. Since high rise buildings consist of complex systems, BIM implementation is crucial for these types of projects. Interviews were conducted with five experts working at Turner International Turkey, which acts as the project management firm of this project. The interviewees were asked to specify the importance level of the listed driving factors on a 1–5 Likert scale. The average ratings for each driver were calculated. Additionally, interviewees were also asked to share their own experiences during the BIM implementation process for the selected project. A comparison of the literature and the case study reveals the key points that are discussed in the paper.

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References

  1. Chelson, D.: The effects of building information modeling on construction productivity. Dissertation, University of Maryland (2010, Unpublished)

    Google Scholar 

  2. NBMIS: The National Building Information Modeling Standards (2007)

    Google Scholar 

  3. Underwood, J., Isikdag, U.: Emerging technologies for BIM 2.0. Constr. Innov. 11(3), 252–258 (2011)

    Article  Google Scholar 

  4. Hergunsel, M.: Benefits of building information modeling for construction managers and BIM based scheduling. Dissertation, Worcester Polytechnic Institute (2011, Unpublished)

    Google Scholar 

  5. Ozorhon, B., Oral, K.: Drivers of innovation in construction projects. J. Constr. Eng. Manag. 143, 04016118 (2016)

    Article  Google Scholar 

  6. Qian, A.: Benefits and ROI of BIM for multi-disciplinary project management. Dissertation, National University of Singapore (2012, Unpublished)

    Google Scholar 

  7. McGrawHill Construction: Smart Market Report the Business Value of BIM in North America: Multi-year Trend Analysis and User Ratings (2007–2012). McGraw Hill Construction, New York (2012)

    Google Scholar 

  8. Kassem, M., Brogden, T., Dawood, N.: BIM and 4D planning: a holistic study of the barriers and drivers to widespread adoption. KICEM J. Constr. Eng. Proj. Manag. 2, 1–10 (2012)

    Google Scholar 

  9. Eadie, R., Odeyinka, H., Browne, M., McKeown, C., Yohanis, M.: An analysis of the drivers for adopting building information modelling. J. Inf. Technol. Constr. (ITcon) 18, 338–352 (2013)

    Google Scholar 

  10. Ghaffarianhoseini, A., et al.: Building information modelling (BIM) uptake: clear benefits, understanding its implementation, risks and challenges. Renew. Sustain. Energy Rev. 75(C), 1046–1053 (2017)

    Article  Google Scholar 

  11. Stanley, R., Thurnell, D.: The benefits of and barriers to implementation of 5D BIM for quantity surveying in New Zealand. Australas. J. Constr. Econ. Build. 14(1), 105–117 (2014)

    Google Scholar 

  12. Jin, R., Hancock, C., Tang, L., Wanatowski, D.: BIM investment, returns, and risks in China’s AEC industries. J. Constr. Eng. Manage. 143, 04017089 (2017)

    Article  Google Scholar 

  13. Abbasnejad, B., Nepal, M., Drogemuller, R.: Key enablers for effective management of BIM implementation in construction firms (2016)

    Google Scholar 

  14. Yan, H., Damian, P.: Benefits and barriers of building information modeling. In: 12th International Conference on Computing in Civil Engineering (2008)

    Google Scholar 

  15. Sun, C., Jiang, S., Skibniewski, M., Man, Q., Shen, L.: A literature review of the factors limiting the application of BIM in the construction industry. Technol. Econ. Dev. Econ. 23(5), 764–779 (2017)

    Article  Google Scholar 

  16. Arayici, Y., Charles, E., Coates, P.: Building information modelling (BIM) implementation and remote construction projects: Issues, challenges and critiques. J. Inf. Technol. Constr. (ITcon) 17, 75–92 (2012)

    Google Scholar 

  17. Cao, D., Li, H., Wang, G., Huang, T.: Identifying and contextualising the motivations for BIM implementation in construction projects: an empirical study in China. Int. J. Proj. Manag. 35(4), 658–669 (2017)

    Article  Google Scholar 

  18. Ozorhon, B., Karahan, U.: Critical success factors of building information modeling implementation. J. Manag. Eng. 33, 04016054 (2016)

    Article  Google Scholar 

  19. Newton, L., Chileshe, N.: Enablers and barriers of building information modelling (BIM) within South Australian construction organisations (2012)

    Google Scholar 

  20. Barlish, K., Sullivan, K.: How to measure the benefits of BIM - a case study approach. Autom. Constr. 24, 149–159 (2012)

    Article  Google Scholar 

  21. Chien, K., Wu, Z., Huang, S.: Identifying and assessing critical risk factors for BIM projects: Empirical study. Autom. Constr. 45, 1–15 (2014)

    Article  Google Scholar 

  22. Coates, P., Arayici, Y., Koskela, K., Kagioglou, M., Usher, C., O’Reilly, K.: The key performance indicators of the BIM implementation process. In: The International Conference on Computing in Civil and Building Engineering (2010)

    Google Scholar 

  23. Migilinskas, D., Popov, V., Juocevicius, V., Ustinovichius, L.: The benefits, obstacles and problems of practical BIM implementation. Procedia Eng. 57, 767–774 (2013)

    Article  Google Scholar 

  24. Broquetas, M., Bryde, D., Marc-Volm, J.: The project benefits of building information modelling (BIM). Int. J. Proj. Manag. 31, 971–980 (2013)

    Article  Google Scholar 

  25. Gu, N., London, K.: Understanding and facilitating BIM adoption in the AEC industry. Autom. Constr. 19, 988–999 (2010)

    Article  Google Scholar 

  26. London, K., Singh, V., Taylor, C., Gu, N., Brankovic, L.: Building information modelling project decision support framework (2008)

    Google Scholar 

  27. Arayici, Y., Coates, S., Koskela, L., Kagioglou, M., Usher, C., O’Reilly, K.: BIM adoption and implementation for architectural practices. Struct. Surv. 29, 7–25 (2011)

    Article  Google Scholar 

  28. Karahan, U.: BIM implementations in the Turkish construction industry. Dissertation, Bogazici University (2015, Unpublished)

    Google Scholar 

  29. Alder, M.: Comparing time and accuracy of building information modeling to on-screen takeoff for a quantity takeoff of a conceptual estimate. Dissertation, Birmingham Young University (2006, Unpublished)

    Google Scholar 

  30. McGrawHill Construction: Smart Market Report the Business Value of BIM for Construction in Major Global Markets. McGraw Hill Construction, New York (2014)

    Google Scholar 

  31. McGrawHill Construction: Smart Market Report BIM. McGraw Hill Construction, New York (2008)

    Google Scholar 

  32. Tulenheimo, R.: Challenges of implementing new technologies in the world of BIM - case study from construction engineering industry in Finland. Procedia Econ. Finance 21, 469–477 (2015)

    Article  Google Scholar 

  33. Marshall-Ponting, A., Arayici, Y., Khosrowshahi, F., Mihindu, S.: Towards implementation of building information modelling in the construction industry (2009)

    Google Scholar 

  34. Kovacic, I., Dragos, V., Filzmoser, M., Suppin, R., Oberwinter, L.: BIM in teaching—lessons learned from exploratory study (2015)

    Article  Google Scholar 

  35. Smith, P.: BIM implementation – global strategies. Procedia Eng. 85, 482–492 (2014)

    Article  Google Scholar 

  36. Giacomo, E.: BIM trends from all around the world. In: European BIM Summit (2015)

    Google Scholar 

  37. InfoComm International: Building information modeling (BIM) (2013)

    Google Scholar 

  38. Eastman, C., Teicholz, P., Sacks, R., Liston, K.: BIM Handbook: A Guide to Building Information Modeling for Owners, Managers, Architects, Engineers and Contractors. Wiley, Hoboken (2011)

    Google Scholar 

  39. Krygiel, E., Nies, B.: Green BIM: Successful Sustainable Design with Building Information Modeling. Wiley, Hoboken (2008)

    Google Scholar 

  40. Luo, L., Yan, Z., Yang, D., Xie, J., Wu, G.: BIM application in the whole life cycle of construction projects in China, pp. 189–197 (2018)

    Google Scholar 

  41. Kovacic, I., Filzmoser, M.: Designing and evaluation procedures for interdisciplinary building information modelling use - an explorative study. Eng. Proj. Organ. J. 5, 14–21 (2015)

    Article  Google Scholar 

  42. Kymmell, W.: Building Information Modeling: Planning and Managing Construction Projects with 4D CAD and Simulations (2008)

    Google Scholar 

  43. Alazmeh, N., Underwood, J., Coates, P.: Implementing a BIM collaborative workflow in the UK construction market. Int. J. Sus. Dev. Plann. 13(1), 24–35 (2017)

    Google Scholar 

  44. World Economic Forum: Shaping the future of construction: an action plan to accelerate building information modeling (BIM) adoption (2018)

    Google Scholar 

  45. Liu, F., Jallow, A.K., Anumba, C.J.: Building knowledge modeling: Integrating knowledge in BIM (2013)

    Google Scholar 

  46. Nanajkar, A., Gao, Z.: BIM implementation practices at India’s AEC firms, pp. 134–139 (2014)

    Google Scholar 

  47. Syazwani, W., Mohammad, W., Abdullah, M.R., Ismail, S., Takim, R.: Overview of building information modelling (BIM) adoption factors for construction organisations (2017)

    Google Scholar 

  48. Singh, M.M., Sawhney, A., Sharma, V.: Utilising building component data from BIM for formwork planning. Constr. Econ. Build. 17, 20–36 (2017)

    Article  Google Scholar 

  49. Mostafa, K., Leite, F.: Evolution of BIM adoption and implementation by the construction industry over the past decade: a replication study (2018)

    Google Scholar 

  50. Tereno, S., Anumba, C., Asadi, S.: BIM implementation in facilities management: an analysis of implementation processes (2018)

    Google Scholar 

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Correspondence to Ahmet Karaciğan .

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Özorhon, B., Karaciğan, A. (2020). Drivers of BIM Implementation in a High Rise Building Project. In: Ofluoglu, S., Ozener, O., Isikdag, U. (eds) Advances in Building Information Modeling. EBF 2019. Communications in Computer and Information Science, vol 1188. Springer, Cham. https://doi.org/10.1007/978-3-030-42852-5_3

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  • DOI: https://doi.org/10.1007/978-3-030-42852-5_3

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-030-42852-5

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