Keynote - Identifying the Research Needs for Developing a Digital Buried Infrastructure Management Practice

References

1. Azhar, S., Nadeem, A., Mok, J., & Leung, B.
   (2008). Building Information Modeling (BIM): A new paradigm for visual interactive modeling and simulation for construction projects. In Proc., First International Conference on Construction in Developing Countries (Vol. 1, pp. 435–46).
   [Google Scholar]
2. Ding, L., Zhou, Y., & Akinci, B.
   (2014). Building Information Modeling (BIM) application framework: The process of expanding from 3D to computable nD.Automation in construction, 46, 82–93.
   [Google Scholar]
3. Döner, F., Thompson, R., Stoter, J., Lemmen, C., Ploeger, H., van Oosterom, P., & Zlatanova, S.
   (2010). 4D cadastres: First analysis of legal, organizational, and technical impact—With a case study on utility networks.Land Use Policy, 27(4), 1068–1081.
   [Google Scholar]
4. Eastman, C., Teicholz, P., Sacks, R., & Liston, K.
   (2011). BIM handbook: A guide to building information modeling for owners, managers, designers, engineers and contractors.John Wiley & Sons.
   [Google Scholar]
5. ter Huurne, R. B. A.
   (2019). Modelling utilities by developing a domain ontology (PDEng dissertation). Enschede: University of Twente.
   [Google Scholar]
6. Messner, J., Anumba, C., Dubler, C., Goodman, S., Kasprzak, C., Kreider, R., Leicht, R., Saluja, C., Nizic, N.
   BIM Project Execution Planning Guide - Version 2.0, The Pennsylvania State University, University Park, PA, USA, 2011.
   [Google Scholar]
7. Metje, N., Atkins, P., Brennan, M., Chapman, D., Lim, H., Machell, J., … & Rogers, C.
   (2007). Mapping the Underworld–State-of-the-art review.Tunnelling and underground space technology, 22(5–6), 568–586.
   [Google Scholar]
8. olde Scholtenhuis, L. L., Hartmann, T., & Dorée, A. G.
   (2016). Testing the Value of 4D Visualizations for Enhancing Mindfulness in Utility Reconstruction Works.Journal of Construction Engineering and Management, 142(7), 04016015.
   [Google Scholar]
9. olde Scholtenhuis, L. L., den Duijn, X., & Zlatanova, S.
   (2018). Representing geographical uncertainties of utility location data in 3D.Automation in construction, 96, 483–493.
   [Google Scholar]
10. Park, J., Kim, B., Kim, C., & Kim, H.
    (2011). 3D/4D CAD applicability for life-cycle facility management.Journal of computing in civil engineering, 25(2), 129–138.
    [Google Scholar]
11. Racz, P., van Buiten, M., & Doree, A. G.
    (2016). To dig or not to dig: how to determine the number and location of test trenches. In H. J. P.Timmermans (Ed.), Proceedings of the 13th international conference on design & decision support systems in architecture and urban planning, 27–28 June 2016, Eindhoven, The Netherlands (pp. 1–16).
    [Google Scholar]
12. Talmaki, S., Dong, S., Kamat, V.
    Geospatial databases and augmented reality visualization for improving safety in urban excavation operations Proc., Construction Research Congress2010, ASCE, Reston, VA (2010), pp. 91–101
    [Google Scholar]
13. Vahdatikhaki, F., & Hammad, A.
    (2015). Risk-based look-ahead workspace generation for earthwork equipment using near real-time simulation.Automation in Construction, 58, 207–220.
    [Google Scholar]