Technical Papers
Feb 8, 2018

Bayesian Second-Order Factor Model for Maturity Assessment of CIM Technologies and Practices at Highway Agencies

Publication: Journal of Construction Engineering and Management
Volume 144, Issue 4

Abstract

The work processes for highway infrastructure projects are undergoing significant transformations because of the advent of digital technologies for project delivery and asset management. Civil integrated management (CIM) encompasses the digital tools and practices that facilitate the collection, organization, and use of accurate project information throughout the facility lifecycle. With the increasing reliance on CIM technologies due to their proven benefits, there is a growing need to formalize a CIM maturity model that helps agencies gauge their CIM utilization activities. Through a survey of state transportation agencies and other CIM experts, this paper develops a quantitative approach to benchmark an agency’s CIM capability. A multistage Bayesian factor analysis technique was used in this study. The study jointly analyzes the information from the relevant literature and the collected data on relative importance and actual implementation levels of 16 attributes related to CIM utilization. Results suggest the existence of three latent factors that adequately indicate the measurements on these attributes related to technology, processes, and organization. Furthermore, results demonstrated an overall CIM maturity score exists at second-order and can adequately summarize the measurements along the first-order latent factors. The empirical validity of the second-order model was demonstrated by applying this framework to the usage data of six U.S. highway agencies to benchmark their CIM maturity. The mathematical framework of this study can help highway agencies develop customized applications for maturity assessment and support decisions for prioritizing CIM investments.

Get full access to this article

View all available purchase options and get full access to this article.

Data Availability Statement

Data generated or analyzed during the study are available from the corresponding author by request. Information about the Journal’s data sharing policy can be found here: http://ascelibrary.org/doi/10.1061/%28ASCE%29CO.1943-7862.0001263.

Acknowledgments

The authors would like to thank the Chairs (Mr. Lance Parve and Mr. Chuck Hixon) and the working members of the ABJ 95 TRB CIM Subcommittee for supporting this effort and providing the data required for the maturity model development. Any opinions, findings, conclusions, or recommendations presented in this paper are those of the authors and do not necessarily reflect the views of the CIM Subcommittee members or TRB.

References

BCA (Building and Construction Authority). (2014). “Building information modeling (BIM) e-submission templates.” ⟨https://www.corenet.gov.sg/general/building-information-modeling-(bim)-e-submission.aspx⟩ (Mar. 15, 2017).
Bernstein, H. M., Jones, S. A., Gudgel, J. E., Messina, F., Partyka, D., and Lorenz, A. (2010). The business value of BIM in Europe, Dodge Data and Analytics, Bedford, MA.
Chen, Y., Dib, H., and Cox, R. F. (2014). “A measurement model of building information modelling maturity.” Constr. Innovation, 14(2), 186–209.
Chen, Y., Dib, H., Cox, R. F., Shaurette, M., and Vorvoreanu, M. (2016). “Structural equation model of building information modeling maturity.” J. Constr. Eng. Manage., 4016032.
Cheng, J. C. P., Lu, Q., and Deng, Y. (2016). “Analytical review and evaluation of civil information modeling.” Autom. Constr., 67, 31–47.
Dodge Data and Analytics. (2012). Smart market report: The business value of BIM for infrastructure, Bedford, MA.
FHWA (Federal Highway Administration). (2013). “3D, 4D, and 5D engineered models for construction.” ⟨http://www.fhwa.dot.gov/construction/pubs/hif13048.pdf⟩ (Sep. 18, 2014).
FHWA (Federal Highway Administration). (2015a). “About every day counts.” ⟨https://www.fhwa.dot.gov/innovation/everydaycounts/about-edc.cfm⟩ (Feb. 23, 2016).
FHWA (Federal Highway Administration). (2015b). “National perspective: 3D engineered models implementation & digital project delivery.” ⟨http://www.heep.org/conference/archive/2015/files/presentations/National%20Perspective%20-%203D%20Engineered%20Models%20Implementation%20&%20Digital%20Project%20Delivery.pdf⟩ (Mar. 12, 2017).
Fleiss, J. L., and Cohen, J. (1973). “The equivalence of weighted kappa and the intraclass correlation coefficient as measures of reliability.” Educ. Psycho. Meas., 33(3), 613–619.
Giel, B., and Issa, R. R. (2015). “Framework for evaluating the BIM competencies of facility owners.” J. Manage. Eng., 4015024.
Guo, F., Jahren, C. T., Turkan, Y., and Jeong, H. D. (2017). “Civil integrated management: An emerging paradigm for civil infrastructure project delivery and management.” J. Manage. Eng., 4016044.
Guo, F., Turkan, Y., Jahren, C. T., and David Jeong, H. (2014). “Civil information modeling adoption by Iowa and Missouri DOT.” 2014 Int. Conf. on Computing in Civil and Building Engineering, ASCE, Reston, VA.
Hair, J. F., Anderson, R. E., Babin, B. J., and Black, W. C. (2010). Multivariate data analysis: A global perspective, Pearson, Upper Saddle River, NJ.
Hartmann, T., Gao, J., and Fischer, M. (2008). “Areas of application for 3D and 4D models on construction projects.” J. Constr. Eng. Manage., 776–785.
Hoyle, R. H. (2012). Handbook of structural equation modeling, Guilford Press, New York.
Iowa DOT. (2014). “Design manual: About this manual.” ⟨https://www.iowadot.gov/design/dmanual/01a-01.pdf⟩ (Apr. 14, 2017).
IU (Indiana University). (2015). “BIM guidelines & standards for architects, engineers, and contractors.” ⟨http://www.indiana.edu/∼uao/docs/standards/IU%20BIM%20Guidelines%20and%20Standards.pdf⟩ (Apr. 15, 2017).
Jahren, C. T. (2014). “Advances in civil integrated management.”, Transportation Research Board of the National Academies, Washington, DC.
Kam, C., Senaratna, D., McKinney, B., Xiao, Y., and Song, M. (2013). “The VDC scorecard: Formulation and validation.”, Center for Integrated Facility Engineering, Stanford Univ., Stanford, CA.
Kang, Y., O’Brien, W. J., and O’Connor, J. T. (2013). “Information-integration maturity model for the capital projects industry.” J. Manage. Eng., 4014061.
Kaplan, D., and Depaoli, S. (2013). “Bayesian statistical methods.” Oxford handbook of quantitative methods in psychology, T. D. Little, ed., Vol. 1, Oxford University Press, Oxford, U.K., 407–437.
Messner, J., et al. (2010). “BIM project execution planning guide.” Penn State Univ., State College, PA.
Munsi, A. (2012). “Crossrail and Bentley systems launch UK’s first dedicated building information modelling academy.” ⟨http://www.crossrail.co.uk/news/articles/crossrail-bentley-systems-launch-uks-first-dedicated-building-information-modelling-academy⟩ (Jul. 10, 2013).
Muthén, B. O., and Muthén, L. K. (2012). Mplus (version 7.1) California, Muthén & Muthén, Los Angeles.
NBS (National Building Specification). (2015). “BIM levels explained.” ⟨https://www.thenbs.com/knowledge/bim-levels-explained⟩ (Nov. 12, 2017).
NIBS (National Institute of Building Sciences). (2015). “National BIM standard: United States Version 3.” Washington, DC.
O’Brien, W., Gau, P., Schmeits, C., Goyat, J., and Khwaja, N. (2012). “Benefits of three- and four-dimensional computer-aided design model applications for review of constructability.” Transp. Res. Rec., 2268, 18–25.
O’Brien, W. J., et al. (2016a). “Civil Integrated Management (CIM) for departments of transportation, volume 2: Research report.”, National Cooperative Highway Research Program, Washington, DC.
O’Brien, W. J., et al. (2016b). “Civil integrated management (CIM) for departments of transportation, volume 1: Guidebook.”, National Cooperative Highway Research Program, Washington, DC.
Parve, L. (2015). “Understanding the benefits of 3D modeling in construction: The Wisconsin case study.” ⟨http://www.fhwa.dot.gov/construction/pubs/hif13050.pdf⟩ (May 9, 2016).
Paulk, M. (1993). “Capability maturity model for software.” Encyclopedia of software engineering, Wiley, New York.
Singh, R. (2008). Engineering automation: Key concepts for a 25 year time horizon, Oregon Dept. of Transportation, Salem, OR.
Smits, W., van Buiten, M., and Hartmann, T. (2017). “Yield-to-BIM: Impacts of BIM maturity on project performance.” Build. Res. Inf., 45(3), 336–346.
SPSS [Computer software]. IBM, Armonk, NY.
Succar, B. (2009). “Building information modelling maturity matrix.” Handbook of research on building information modeling and construction informatics: Concepts and technologies, IGI Global, Hershey, PA, 65–103.
Taylor, T. R., Uddin, M., Goodrum, P. M., McCoy, A., and Shan, Y. (2012). “Change orders and lessons learned: Knowledge from statistical analyses of engineering change orders on Kentucky highway projects.” J. Constr. Eng. Manage., 1360–1369.
Thomas, L. W. (2013). Legal issues surrounding the use of digital intellectual property on design and construction projects, Transportation Research Board, Washington, DC.
Vaidyanathan, K., and Howell, G. (2007). “Construction supply chain maturity model—Conceptual framework.” Proc., 15th Int. Group of Lean Construction Conf., East Lansing, MI, 170–180.
Vonderohe, A. (2013). Wisconsin department of transportation 3D technologies implementation plan, Univ. of Wisconsin, Madison, WI.
Vonderohe, A., Zogg, J., Whited, G., and Brockman, K. (2010). “Planning the implementation of three-dimensional technologies for design and construction.” Transp. Res. Rec., 2183, 129–138.
Yong, A. G., and Pearce, S. (2013). “A beginner’s guide to factor analysis: Focusing on exploratory factor analysis.” Tutorials Quant. Methods Psychol., 9(2), 79–94.

Information & Authors

Information

Published In

Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 144Issue 4April 2018

History

Received: Jul 18, 2017
Accepted: Oct 13, 2017
Published online: Feb 8, 2018
Published in print: Apr 1, 2018
Discussion open until: Jul 8, 2018

Permissions

Request permissions for this article.

Authors

Affiliations

Ph.D. Candidate, Dept. of Civil, Architectural, and Environmental Engineering, Univ. of Texas at Austin, 301 E. Dean Keeton St., ECJ 5.412, Austin, TX 78712-1094 (corresponding author). ORCID: https://orcid.org/0000-0001-5166-872X. E-mail: [email protected]
William J. O’Brien, Ph.D., M.ASCE [email protected]
P.E.
Professor, Dept. of Civil, Architectural, and Environmental Engineering, Univ. of Texas at Austin, Austin, TX 78712-1094. E-mail: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share