dr.ir. L.L. Olde Scholtenhuis (Léon)

Léon is programmaleider van ZoARG | ReDUCE, het programma waarin techniek, proces en opleiding wordt ontwikkeld in een Living Lab setting waarin graafschade wordt gereduceerd en zorgvuldige aanleg bevorderd. Léon's expertise ligt op gebied van smart city construction, technologie-adoptie en innovatie en binnenstedelijke infrastructuur

Visualization

Excavation

Monitoring

Uncertainty

Construction Management

Computer Aided Design

Organizing

Pipelines

Sport

High Pressure Pipelines

Mindfulness

Ontology

Testing

Simulators

Semantics

Testing

Visualization

Innovation

Léon analyzes and develops methods, concepts and technologies that support multi-stakeholder coordination in urban infrastructure management processes. His passion is to engage with practice while studying the uptake of new technologies, and tailoring information and visualization systems. Most recently his research focuses on the construction as well as the life cycle management of buried infrastructures such as cables and pipelines. This particular field is very challenging since the ownership of these assets is widely diffused, creating a very fragmented domain.

olde Scholtenhuis, L. L., & Doree, A. G. (2017). Forget the rules and innovate: contesting a myopic view on the impact of rules on innovation. In ARCOM Thirty-Third Annual Conference 2017: September 4-6, Cambridge: Working Papers (pp. 329-338). ARCOM.

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

olde Scholtenhuis, L. L., Zlatanova, S., & den Duijn, X. (2017). 3D Approach for Representing Uncertainties of Underground Utility Data. In K-Y. Lin, N. El-Gohary, & P. Tang (Eds.), Computing in Civil Engineering 2017: Information Modeling and Data Analytics (Vol. 2017, pp. 369-376). Seattle, Washington: American Society of Civil Engineers.

Vahdatikhaki, F., Hammad, A., olde Scholtenhuis, L. L., Miller, S. R., & Makarov, D. (2017). Data-Driven Scenario Generation for Enhanced Realism of Equipment Training Simulators. Paper presented at 6th CSCE/CRC International Construction Specialty Conference, Vancouver, Canada.

Asadollahi Dolatabad, S., Doree, A. G., olde Scholtenhuis, L. L., & Vahdatikhaki, F. (2017). Review of Detection and Monitoring Systems for Buried High Pressure Pipelines: Final Report.

olde Scholtenhuis, L. L. (2016). Het virtueel stroomlijnen van nutswerkzaamheden. Verdieping.

olde Scholtenhuis, L. L., Hartmann, T., & Doree, A. G. (2016). Testing the Value of 4D Visualizations for Enhancing Mindfulness in Utility Reconstruction Works. Journal of construction engineering and management, 142(7). DOI: 10.1061/(ASCE)CO.1943-7862.0001126

olde Scholtenhuis, L. L., Hartmann, T., & Doree, A. G. (2016). 4D CAD Based Method for Supporting Coordination of Urban Subsurface Utility Projects. Automation in construction, 62, 66-77. DOI: 10.1016/j.autcon.2015.10.013

Entrop, A. G., olde Scholtenhuis, L. L., van der Meer, J. P., Bouwhuis, A., Schoonderbeek, P., & Wolbers, B. (2016). Analyzing the ambitions to develop sustainable stadiums in Brazil and the Netherlands. Journal of civil engineering and architecture research, 3(5), 1435-1446.

olde Scholtenhuis, L. L., & Doree, A. G. (2016). Smart cities bouwen volgens de knieoperatiemetafoor: onderzoeksrichtingen binnen het domein van binnenstedelijke (infra)reconstructie. In CROW Infradagen 2016, 22-23 juni 2016, Papendal, Arnhem (pp. 1-10). Ede, the Netherlands: C.R.O.W..

Naar mijn profiel

Léon geeft in de BSc. en MSc. vakken over Smart Cities, Digitalisering in de Bouw, Innovaties in de Bouw en Coordinatie van Binnenstedelijke Ondiepe Ondergrondse Infraprojecten