JS — Joram Schito

Publications

A complete list of my scientific output. For citation metrics see Google Scholar or ResearchGate.

Peer-reviewed publications

  • Schito, J.; Moncecchi, D. & Raubal, M. (2021-03). Determining transmission line path alternatives using a valley-finding algorithm. Computers, Environment and Urban Systems, 86, tbd. doi:10.1016/j.compenvurbsys.2020.101571
  • Schito, J. (2020). Realistic Modeling of Power Transmission Lines with Geographic Information Systems. ETH Zurich. doi:10.3929/ethz-b-000454195
  • Schito, J.; Jullier, J. & Raubal, M. (2019). A framework for integrating stakeholder preferences when deciding on power transmission line corridors. EURO Journal on Decision Processes, 7, 159–195. doi:10.1007/s40070-019-00100-w
  • Schito, J.; Wissen Hayek, U. & Raubal, M. (2018). Enhanced multi criteria decision analysis for planning power transmission lines. Proceedings 10th International Conference on Geographic Information Science (GIScience 2018), 114. Melbourne (Australia). doi:10.4230/LIPIcs.GIScience.2018.15
  • Schito, J. & Fabrikant, S. I. (2018). Exploring maps by sounds: using parameter mapping sonification to make digital elevation models audible. International Journal of Geographical Information Science, 1–34.
  • Veronesi, F.; Schito, J.; Grassi, S. & Raubal, M. (2017). Automatic selection of weights for GIS-based multicriteria decision analysis: site selection of transmission towers as a case study. Applied Geography, 83, 78–85.
  • Schito, J. (2017). Modeling and optimizing transmission lines with GIS and Multi-Criteria Decision Analysis. it – Information Technology, 59, 1–9. doi:10.1515/itit-2016-0057
  • Sailer, C.; Kiefer, P.; Schito, J. & Raubal, M. (2016). Map-based Visual Analytics of Moving Learners. International Journal of Mobile Human Computer Interaction (IJMHCI), 8, 1–28.
  • Schito, J.; Sailer, C. & Kiefer, P. (2015). Bridging the gap between location-based games and teaching. Proceedings of the Geogames and Geoplay Workshop on the 18 th AGILE Conference. Lisbon (Portugal). doi:10.13140/RG.2.1.1322.3844
  • Sailer, C.; Kiefer, P.; Schito, J. & Raubal, M. (2015). An evaluation method for location-based mobile learning based on spatio-temporal analysis of learner trajectories. Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, 1212–1218.
  • Sailer, C.; Schito, J.; Kiefer, P. & Raubal, M. (2015). Teachers Matter: Challenges of Using a Location-Based Mobile Learning Platform. mLearn 2015 – 14th World Conference on Mobile and Contextual Learning, 13. Venice (Italy).
  • Schito, J. (2012). Effizienzanalyse der akustischen Wahrnehmung einer Parameter Mapping Sonification eines digitalen Höhenmodells durch interaktive yearnexploration: Masterarbeit über die Verwendung von Sonifikation in der GIScience. University of Zurich, Department of Geography.

Reports & further publications

  • Schito, J. & Raubal, M. (2020). Automatisierte Planung von Hochspannungsleitungen mit dem 3D DSS. Geomatik Schweiz, 12–15.
  • Schito, J.; Wissen Hayek, U.; Grassi, S.; Bieri, P. & Raubal, M. (2020). Enhancing the 3D DSS for Supporting the Planning of Electric Power Systems: Integration of Underground Cables. Swiss Federal Office of Energy.
  • Schito, J. & Wissen Hayek, U. (2020). 3D Decision Support System (3D DSS) zur Unterstützung der Leitungsplanung. ETH Zurich.
  • Wissen Hayek, U.; Schito, J.; Grassi, S. & Bieri, P. (2020). 3D DSS Schlussworkshop – Zusammenfassung. ETH Zürich.
  • Wissen Hayek, U. & Schito, J. (2017). Decision Support System (3D DSS) zur Unterstützung der Planung von Übertragungsleitungen: Auswertung der Nutzerevaluation. ETH Zürich.
  • Raubal, M.; Schito, J.; Grêt-Regamey, A. & Wissen Hayek, U. (2017). Einsatz von 3D GIS zur transparenten und nachhaltigen Planung von elektrischen Versorgungsnetzen. Bundesamt für Energie BFE.
  • Schito, J. & Grassi, S. (). Berechnung optimaler Pfade und Korridore für Hochspannungsleitungen. Leitfaden 3D-GIS und Energie, 80–82.
  • Klein, T. M.; Grêt-Regamey, A.; Raubal, M. & Schito, J. (). Eine 3D entscheidungsunterstützende Plattform zur transparenten und nachhaltigen Planung von elektrischen Versorgungsnetzen. Leitfaden 3D-GIS und Energie, 111–112.
  • Schito, J.; Wissen Hayek, U. & Raubal, M. (). Ein 3D Decision Support System zur realistischen Planung von Hochspannungsleitungen. EnInnov, Energy for Future – Wege zur Klimaneutralität, 269–270. Graz (Austria).
  • Schito, J. (). Hochspannungsleitungen planen und deren Akzeptanz erhöhen–mit dem 3D Decision Support System der ETH Zürich. Wissenschaftsdialog 2018 der Bundesnetzagentur. Bonn (Germany). doi:10.3929/ethz-b-000377753

Presentations

  • Schito, J. (2022). Ein 3D Decision Support System zur Unterstützung der Leitungsplanung.
  • Gredig, U.; Schito, J.; Häsler, A. & Christiner, G. (2022). Panel discussion about the topic «The importance of the grid for the future of the energy» («Der Faktor Netz für die Energiezukunft)». 2022. link
  • Schito, J. (2022). Digital Underground Data – A Resource for Planning Utilities in Urban Areas at Energie 360°.
  • Schito, J. & Jullier, J. (2021). Digitale Leitungsplanung – Funktionsweise und Zuverlässigkeit des 3D DSS.
  • Schito, J. (2020). Realistic Modeling of Power Transmission Lines with GIS.
  • Schito, J. (2020). Ein 3D Decision Support System zur realistischen Planung von Hochspannungsleitungen.
  • Schito, J. (2020). Aargauer Reusstal wehrt sich gegen Hochspannungsleitung. link
  • Raubal, M.; Schito, J.; Wissen Hayek, U.; Grassi, S. & Bieri, P. (2020). 3D DSS Erdkabel – Schlussworkshop.
  • Schito, J. (2019). How to support decision-making when planning power transmission lines.
  • Jullier, J. & Schito, J. (2019). Finding the optimal route for new power transmission lines with a 3D Decision Support System. link
  • Moncecchi, D. (2019). What is a valley? A procedure that helps determining route alternatives for power transmission lines.
  • Schito, J. & Jullier, J. (2018). 3D Decision Support System: Wie Algorithmen die perfekte Leitung erstellen.
  • Schito, J. (2018). Hochspannungsleitungen planen und deren Akzeptanz erhöhen – mit dem 3D Decision Support System der ETH Zürich.
  • Schito, J. (2018). Wie ein 3D Decision Support System die Leitungsplanung unterstützt. link
  • Jullier, J. (2018). Hybride Freileitungen und 3D Leitungsplanung.
  • Jullier, J. (2018). Public acceptance of hybrid HVAC/HVDC transmission lines.
  • Schito, J. & Mühlethaler, J. (2017). 3D Decision Support System zur Unterstützung der Leitungsplanung.
  • Jullier, J. (2017). Planning the future electricity grid by using a 3D Decision Support System.
  • Schito, J. (2016). Die Anwendung von Tobler’s Law in Puffermodellen bei der Modellierung von Hochspannungsleitungen.
  • Schito, J. (2012). Acoustic Perception of a 2.5 D Digital Elevation Model‘s Parameter Mapping Sonification through Interactive Data Exploration: Final Presentation.

Posters

  • Schito, J. & Wissen Hayek, U. (2019). 3D Decision Support System (3D DSS) for Transmission Line Planning: Latest Results.
  • Moncecchi, D. & Schito, J. (2019). What is a valley? A procedure that helps determining route alternatives for power transmission lines.
  • Schito, J. & Raubal, M. (2018). Planning transmission lines upside down: How earth cables are combined with overhead lines.
  • Buffat, R.; Schito, J. & Raubal, M. (2017). Spatio-temporal modelling of renewable energy in Switzerland using GIS.
  • Schito, J. & Raubal, M. (2016). Modeling transmission lines by considering proximity effects and multiple protected areas.
  • Schito, J. & Raubal, M. (2016). Application of 3D Geographic Information Systems for the planning of electric power systems.
  • Veronesi, F.; Schito, J.; Grassi, S. & Raubal, M. (2016). Planning Transmission Lines for Future Network Expansion.
  • Veronesi, F.; Grassi, S.; Schito, J. & Raubal, M. (2015). The Importance of Geographic Information Systems for Planning Renewable Facilities.
  • Grassi, S.; Veronesi, F.; Schito, J. & Raubal, M. (2014). An integrated GIS-based method for planning power lines targeting interactive public participation.

Supervised Master's theses

  • Moncecchi, D. (2020). Exploiting Valley Extraction Algorithms for Improving Power Transmission Line Routing. Politecnico di Milano, Scuola di Ingegneria Civile, Ambientale e Territoriale.
  • Schoinas, K. (2018). Planning Earth Cables with GIS. ETH Zurich, Institute of Cartography and Geoinformation.
  • Piveteau, N. (2017). A Novel Approach to the Routing Problem of Overhead Transmission Lines. University of Zurich, Department of Geography.
  • Song-Zinggeler, J. (2016). Usability Testing of Decision-Support System for Power Line Planning. ETH Zurich, Planning of Landscape and Urban Systems.