Skip to main content
SpringerLink
Log in

Recent Tools and Techniques of BIM-Based Virtual Reality: A Systematic Review

  • Original Paper
  • Published:
Archives of Computational Methods in Engineering Aims and scope Submit manuscript

Abstract

Construction projects are becoming increasingly challenging, resulting in more complex and dynamic construction environments. Despite this, traditional management and monitoring methods are currently unable to keep up with the industry’s rapid development, leading to several problems in task efficiency and transfer of information between project delivery stages. Consequently, the Architecture Engineering Construction and Operations sector is pursuing digitalization to improve project management, assist trade-crews and achieve a more efficient working environment. As a result, the adoption of Building Information Modelling (BIM) represents a paradigm shift from the traditional approaches towards a collaborative and integrated working process. Although BIM is improving the aforementioned problems, not all corporations are able to implement and use it effectively. As such, supportive tools to assist BIM in achieving its full potential are in high demand. To facilitate the deployment and application of BIM, easy-entry technologies such as Virtual Reality tools are establishing themselves as a promising addition to BIM methodology. The current research objective is to provide a review of previous works in the field of BIM-based VR, in order to establish a clear view of this research field. The methodology adopted for this systematic review is PRISMA Statement strategy. Based on the results of the review several questions regarding this topic were answered.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  1. Chan AP, Scott D, Chan AP (2004) Factors affecting the success of a construction project. J Constr Eng Manag 130(1):153–155

    Article  Google Scholar 

  2. Pham HC, Pedro A, Le QT, Lee D-Y, Park C-S (2017) Interactive safety education using building anatomy modelling. Univers Access Inf Soc 18:1–17

    Google Scholar 

  3. Antwi-Afari M, Li H, Pärn E, Edwards D (2018) Critical success factors for implementing building information modelling (BIM): a longitudinal review. Autom Constr 91:100–110

    Article  Google Scholar 

  4. Li X, Wu P, Shen GQ, Wang X, Teng Y (2017) Mapping the knowledge domains of Building Information Modeling (BIM): a bibliometric approach. Autom Constr 84:195–206

    Article  Google Scholar 

  5. Succar B (2009) Building information modelling framework: a research and delivery foundation for industry stakeholders. Autom Constr 18(3):357–375

    Article  Google Scholar 

  6. Eastman CM, Eastman C, Teicholz P, Sacks R, Liston K (2011) BIM handbook: a guide to building information modeling for owners, managers, designers, engineers and contractors. Wiley, New York

    Google Scholar 

  7. Sanhudo L, Ramos NM, Martins JP, Almeida RM, Barreira E, Simões ML, Cardoso V (2018) Building information modeling for energy retrofitting–a review. Renew Sustain Energy Rev 89:249–260

    Article  Google Scholar 

  8. Krygiel E, Nies B (2008) Green BIM: successful sustainable design with building information modeling. Wiley, New York

    Google Scholar 

  9. Kim JB, Jeong W, Clayton MJ, Haberl JS, Yan W (2015) Developing a physical BIM library for building thermal energy simulation. Autom Constr 50:16–28

    Article  Google Scholar 

  10. Abanda F, Byers L (2016) An investigation of the impact of building orientation on energy consumption in a domestic building using emerging BIM (Building Information Modelling). Energy 97:517–527

    Article  Google Scholar 

  11. Gourlis G, Kovacic I (2017) Building Information Modelling for analysis of energy efficient industrial buildings–a case study. Renew Sustain Energy Rev 68:953–963

    Article  Google Scholar 

  12. Walasek D, Barszcz A (2017) Analysis of the adoption rate of building information modeling [BIM] and its return on investment [ROI]. Procedia Eng 172:1227–1234

    Article  Google Scholar 

  13. Zhang A, Wang KC, Li B, Yang E, Dai X, Peng Y, Fei Y, Liu Y, Li JQ, Chen C (2017) Automated pixel-level pavement crack detection on 3D asphalt surfaces using a deep-learning network. Comput Aided Civil Infrastruct Eng 32(10):805–819

    Article  Google Scholar 

  14. Kerosuo H, Miettinen R, Paavola S, Mäki T, Korpela J (2015) Challenges of the expansive use of building information modeling (BIM) in construction projects. Production 25(2):289–297

    Article  Google Scholar 

  15. Martín-Gutiérrez J, Mora CE, Añorbe-Díaz B, González-Marrero A (2017) Virtual technologies trends in education. EURASIA J Math Sci Technol Educ 13(2):469–486

    Article  Google Scholar 

  16. Sidani AZ, Duarte J, Dinis FM, Baptista JS, Martins JP, Soeiro A (2018) The Impact of BIM-based virtual and augmented reality interfaces on health and safety in construction projects: protocol for a systematic review. Int J Occup Environ Saf 2(1):67–74

    Article  Google Scholar 

  17. Moher D, Liberati A, Tetzlaff J, Altman DG (2009) Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Ann Intern Med 151(4):264–269

    Article  Google Scholar 

  18. Gerhard T (2008) Bias: considerations for research practice. Am J Health Syst Pharm 65(22):2159–2168

    Article  Google Scholar 

  19. Pannucci CJ, Wilkins EG (2010) Identifying and avoiding bias in research. Plast Reconstr Surg 126(2):619

    Article  Google Scholar 

  20. Gurevich U, Sacks R (2014) Examination of the effects of a KanBIM production control system on subcontractors’ task selections in interior works. Autom Constr 37:81–87

    Article  Google Scholar 

  21. Lin Y-C, Chen Y-P, Yien H-W, Huang C-Y, Su Y-C (2018) Integrated BIM, game engine and VR technologies for healthcare design: a case study in cancer hospital. Adv Eng Inform 36:130–145

    Article  Google Scholar 

  22. Boton C (2018) Supporting constructability analysis meetings with Immersive Virtual Reality-based collaborative BIM 4D simulation. Autom Constr 96:1–15

    Article  Google Scholar 

  23. Wang B, Li H, Rezgui Y, Bradley A, Ong HN (2014) BIM based virtual environment for fire emergency evacuation. Sci World J

  24. Sacks R, Gurevich U, Belaciano B (2013) Hybrid discrete event simulation and virtual reality experimental setup for construction management research. J Comput Civil Eng 29(1):04014029

    Article  Google Scholar 

  25. Sacks R, Whyte J, Swissa D, Raviv G, Zhou W, Shapira A (2015) Safety by design: dialogues between designers and builders using virtual reality. Constr Manag Econ 33(1):55–72

    Article  Google Scholar 

  26. Edwards G, Li H, Wang B (2015) BIM based collaborative and interactive design process using computer game engine for general end-users. Vis Eng 3(1):4

    Article  Google Scholar 

  27. Du J, Shi Y, Zou Z, Zhao D (2017) CoVR: cloud-based multiuser virtual reality headset system for project communication of remote users. J Constr Eng Manag 144(2):04017109

    Article  Google Scholar 

  28. Shi Y, Du J, Lavy S, Zhao D (2016) A multiuser shared virtual environment for facility management. Procedia Eng 145:120–127

    Article  Google Scholar 

  29. Wang C, Li H, Kho SY (2018) VR-embedded BIM immersive system for QS engineering education. Comput Appl Eng Educ 26(3):626–641

    Article  Google Scholar 

  30. Cárcamo JG, Trefftz H, Acosta DA, Botero LF (2017) Collaborative design model review in the AEC industry. Int J Interact Des Manuf 11(4):931–947

    Article  Google Scholar 

  31. Jensen CG (2017) Collaboration and dialogue in Virtual reality. J Probl Based Learn High Educ 5:1

    Google Scholar 

  32. Azhar S (2017) Role of visualization technologies in safety planning and management at construction jobsites. Procedia Eng 171:215–226

    Article  Google Scholar 

  33. Wu T-H, Wu F, Liang C-J, Li Y-F, Tseng C-M, Kang S-C (2017) A virtual reality tool for training in global engineering collaboration. Univers Access Inf Soc 18:1–13

    Google Scholar 

  34. Natephra W, Motamedi A, Fukuda T, Yabuki N (2017) Integrating building information modeling and virtual reality development engines for building indoor lighting design. Vis Eng 5(1):19

    Article  Google Scholar 

  35. Hilfert T, König M (2016) Low-cost virtual reality environment for engineering and construction. Vis Eng 4(1):2

    Article  Google Scholar 

  36. Smith P (2014) BIM & the 5D project cost manager. Procedia Soc Behav Sci 119:475–484

    Article  Google Scholar 

  37. Kamardeen I (2010) 8D BIM modelling tool for accident prevention through design. In: 26th annual ARCOM conference, 2010. Association of researchers in construction management leeds, pp 281–289

  38. Nielsen J (1994) Usability engineering. Elsevier, Amsterdam

    MATH  Google Scholar 

Download references

Acknowledgements

This article has been developed from the results obtained within the framework of the CONSTRUCT project, as well as the support of Fundação para a Ciência e Tecnologia (FCT) through the research project SFRH/BD/129652/2017. Project POCI-01-0145-FEDER-007457—CONSTRUCT—Institute of R&D In Structures and Construction is funded by ERDF funds through COMPETE2020—Programa Operacional Competitividade e Internacionalização (POCI)—and by national funds through FCT.

Author information

Authors and Affiliations

  1. Civil Engineering, University of Porto, Porto, Portugal

    Adeeb Sidani, Fábio Matoseiro Dinis, Luís Sanhudo, João Poças Martins & Alfredo Soeiro

  2. PROA/LAETA, Faculty of Engineering, University of Porto, Porto, Portugal

    J. Duarte & J. Santos Baptista

Authors
  1. Adeeb Sidani
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Fábio Matoseiro Dinis
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Luís Sanhudo
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. J. Duarte
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. J. Santos Baptista
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. João Poças Martins
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Alfredo Soeiro
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Adeeb Sidani.

Ethics declarations

Conflict of interest

On behalf of all authors, the corresponding author states that there is no conflict of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sidani, A., Dinis, F.M., Sanhudo, L. et al. Recent Tools and Techniques of BIM-Based Virtual Reality: A Systematic Review. Arch Computat Methods Eng 28, 449–462 (2021). https://doi.org/10.1007/s11831-019-09386-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11831-019-09386-0

Search

Navigation