P. Racz (Paulina)

About Me

Smiling Environmental Engineer who during the last eight years combined studies with professional development. Highly efficient in time management and team spirit building. Never lets other people down and to give up. Familiar with many secrets of underground space and environmental engineering. Dreaming about making World better by reducing the number of excavation damages and increasing people’s awareness about environment. Currently, finalizing Professional Doctorate in Engineering which goal was to improved strategies, logic and decision support for selecting test trench location.


Decision Making
Decision Support Systems


Before breaking the surface the contractors and crews need to do a KLIC request for information. The relevant utility owners provide information about the existing underground networks for the specific location(s). Since several of these networks go back a long time, the actual location may not match with the provided location data. The check the accuracy of the provided information, and the inspection of the actual condition often one or more test trenches are dug. While test trenches provide vital information the digging and inspection of these test trenches takes time and effort and may even introduce added hindrances and risks. Selection of number and location(s) therefore always requires trade-offs and compromises. Although digging of test trenches is common practice the reasoning regarding location(s) is mostly implicit, unclear and not documented. The random choice causes many damages to underground systems (35000 damages to Dutch underground system in year 2015). The reliable decision process must be designed according to environmental, safety, management and economic aspects, which are the main areas where a damage in the excavation process will have consequences. Therefore I have developed the Decision Support System (DSS) to determine suitable location to dig test trenches. Designed DSS assists decision-makers in data collection, data storing, data analysis, careful risk assessment, test trench location and decision-making procedure reporting.


Racz, P., van Buiten, M., & Doree, A. (2017). Naturalistic decision-making perspective on uncertainty reduction by civil engineers about the location of underground utilities. In J. Gore, & P. Ward (Eds.), Naturalistic Decision Making and Uncertainty: Proceedings of the 13th Bi-Annual International Conference on Naturalistic Decision Making (pp. 174-181). Bath, UK: University of Bath.
Racz, P., Syfuss, L., Schultz, C., van Buiten, M., olde Scholtenhuis, L. L., Vahdatikhaki, F., & Doree, A. G. (2017). Decision Support for Test Trench Location Selection with 3D Semantic Subsurface Utility Models. In K-Y. Lin, N. El-Gohary, & P. Tang (Eds.), Computing in Civil Engineering 2017: Smart Safety, Sustainability, and Resilience (Vol. 2017, pp. 68-75). Seattle, Washington. DOI: 10.1061/9780784480847
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). Eindhoven, the Netherlands: Technische Universiteit Eindhoven.
Other Contributions
  • Racz P., van Buiten M. , Doree A., “Naturalistic decision-making perspective on uncertainty reduction by civil engineers about the location of underground utilities”, 13th International Conference on Naturalistic Decision Making 2017, Bath
  • Banaszkiewicz K., Pasiecznik I., Racz P. (2013) Evaluation of effectiveness of municipal solid waste collection which appeared in print in 3rd volume of book: Interdisciplinary issues in environmental protection and engineering edited by T.M. Traczewska, publishing by Wroclaw University of Technology, Poland. http://www.eko-dok.pl/2013/03.pdf (only in Polish)

Contact Details

Visiting Address

University of Twente
Drienerlolaan 5
7522 NB Enschede
The Netherlands

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Mailing Address

University of Twente
P.O. Box 217
7500 AE Enschede
The Netherlands

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