Peer-reviewed publications
- Joram Schito, Daniele Moncecchi and Martin Raubal. Determining transmission line path alternatives using a valley-finding algorithm. Computers, Environment and Urban Systems 86:101571, 2021. DOI
- Joram Schito. Realistic Modeling of Power Transmission Lines with Geographic Information Systems. Dissertation, ETH Zurich, Zurich (Switzerland), 2020. DOI
- Joram Schito, Joshu Jullier and Martin Raubal. A framework for integrating stakeholder preferences when deciding on power transmission line corridors. EURO Journal on Decision Processes, Springer, vol. 7(3), pages 159-195, 2019. DOI
- Joram Schito, Ulrike Wissen Hayek and Martin Raubal. Enhanced multi criteria decision analysis for planning power transmission lines. GIScience Conference 2018, Melbourne, Australia. DOI
- Fabio Veronesi, Joram Schito, Stefano Grassi and Martin Raubal. Automatic selection of weights for GIS-based multicriteria decision analysis: site selection of transmission towers as a case study. Applied Geography 83:78–85, 2017.
- Joram Schito. Modeling and optimizing transmission lines with GIS and Multi-Criteria Decision Analysis. it – Information Technology 59(1):1–9, 2017. DOI
Other publications
- Ulrike Wissen Hayek, Joram Schito, Orencio Robaina, Martin Raubal, Adrienne Grêt-Regamey. Modeling and Visualizing Earth Cable Paths in the Urban Underground. gis.Science (4):99–109, 2021.
- Joram Schito and Martin Raubal. Automatisierte Planung von Hochspannungsleitungen mit dem 3D DSS. Geomatik Schweiz (10):12–15, 2020.
- Joram Schito. Hochspannungsleitungen planen und deren Akzeptanz erhöhen–mit dem 3D Decision Support System der ETH Zürich. In Wissenschaftsdialog 2018 der Bundesnetzagentur.
- Joram Schito, Ulrike Wissen Hayek and Martin Raubal. Ein 3D Decision Support System zur realistischen Planung von Hochspannungsleitungen. In Institut Elektrizitätswirtschaft Energieinnovation (IEE) and Udo Bachhiesl (eds.). EnInnov Energy for Future – Wege zur Klimaneutralität. 269–270.
- Joram Schito, Ulrike Wissen Hayek and Martin Raubal. Ein 3D Decision Support System zur realistischen Planung von Hochspannungsleitungen. In EnInnov2020 – 16. Symposium Energieinnovation, Graz, Austria, 2020. ISBN 978-3-85125-734-2.
- Joram Schito. Hochspannungsleitungen planen und deren Akzeptanz erhöhen–mit dem 3D Decision Support System der ETH Zürich. In Tagungsband des Wissenschaftsdialog 2018 der Bundesnetzagentur, Bonn, 2018. DOI
- Thomas M Klein, Adrienne Grêt-Regamey, Martin Raubal and Joram Schito. Eine 3D entscheidungsunterstützende Plattform zur transparenten und nachhaltigen Planung von elektrischen Versorgungsnetzen. In Leitfaden 3D-GIS und Energie. Runder Tisch GIS e.V., 2015, pages 111–112.
- Joram Schito and Stefano Grassi. Berechnung optimaler Pfade und Korridore für Hochspannungsleitungen. In Philipp Willkomm, Robert Kaden, Volker Coors and Thomas H Kolbe (eds.). Leitfaden 3D-GIS und Energie. Runder Tisch GIS e.V., 2015, pages 80–82.
Scientific reports
- Joram Schito, Ulrike Wissen Hayek, Stefano Grassi, Philippe Bieri and Martin Raubal. Enhancing the 3D DSS for Supporting the Planning of Electric Power Systems: Integration of Underground Cables. Final Report Sl/501704-01, Swiss Federal Office of Energy, 2020.
- Ulrike Wissen Hayek, Joram Schito, Stefano Grassi and Philippe Bieri. 3D DSS Schlussworkshop – Zusammenfassung. Workshop Evaluation, ETH Zürich, 2020.
- Joram Schito and Ulrike Wissen Hayek. 3D Decision Support System (3D DSS) zur Unterstützung der Leitungsplanung. Technische Anleitung, ETH Zurich, 2020.
- Martin Raubal, Joram Schito, Adrienne Grêt-Regamey and Ulrike Wissen Hayek. Einsatz von 3D GIS zur transparenten und nachhaltigen Planung von elektrischen Versorgungsnetzen. Schlussbericht SI/507073-01, Bundesamt für Energie BFE, 2017.
- Ulrike Wissen Hayek and Joram Schito. Decision Support System (3D DSS) zur Unterstützung der Planung von Übertragungsleitungen: Auswertung der Nutzerevaluation. ETH Zürich, 2017.
Master theses
- Daniele Moncecchi. Exploiting Valley Extraction Algorithms for Improving Power Transmission Line Routing.
Master Thesis, Politecnico di Milano, Scuola di Ingegneria Civile, Ambientale e Territoriale, Milano (Italy), 2020 - Konstantinos Schoinas. Planning Earth Cables with GIS. Master Thesis, ETH Zurich, Institute of Cartography and Geoinformation, Zurich (Switzerland), 2018.
- Nadine Piveteau. A Novel Approach to the Routing Problem of Overhead Transmission Lines. Master Thesis, University of Zurich, Department of Geography, Zurich (Switzerland), 2017.
- Julia Song-Zinggeler. Usability Testing of Decision-Support System for Power Line Planning – Differences between user groups and overall usability. Master Thesis, ETH Zurich, Planning of Landscape and Urban Systems, Zurich (Switzerland), 2016.
Posters
- Daniel Moncecchi and Joram Schito. What is a valley? A procedure that helps determining route alternatives for power transmission lines. SCCER FURIES – 6th Annual Conference, Lausanne (Switzerland), 2019.
- Joram Schito and Ulrike Wissen Hayek. 3D Decision Support System (3D DSS) for Transmission Line Planning: Latest Results. SCCER FURIES – 6th Annual Conference, Lausanne (Switzerland), 2019.
- Joram Schito and Martin Raubal. Planning transmission lines upside down: How earth cables are combined with overhead lines. SCCER FURIES – 5th Annual Conference, Lausanne (Switzerland), 2018.
- René Buffat, Joram Schito and Martin Raubal. Spatio-temporal modelling of renewable energy in Switzerland using GIS. SCCER FURIES – 4th Annual Conference, Lausanne (Switzerland), 2017.
- Joram Schito. Modeling transmission lines by considering proximity effects and multiple protected areas. Research in Progress Presentation at the PhD Workshop “Energy Informatics”, Klagenfurt (Austria), 2016.
- Joram Schito and Martin Raubal. Application of 3D Geographic Information Systems for the planning of electric power systems. SCCER FURIES – 3rd Annual Conference, Lausanne (Switzerland), 2016.
- Fabio Veronesi, Joram Schito, Stefano Grassi and Martin Raubal. Planning Transmission Lines for Future Network Expansion. SCCER FURIES – 3rd Annual Conference, Lausanne (Switzerland), 2016.
- Fabio Veronesi, Stefano Grassi, Joram Schito and Martin Raubal. The Importance of Geographic Information Systems for Planning Renewable Facilities. SCCER FURIES – 2nd Annual Conference, Lausanne (Switzerland), 2015.
- Stefano Grassi, Fabio Veronesi, Joram Schito and Martin Raubal. An integrated GIS-based method for planning power lines targeting interactive public participation. SCCER FURIES – 1st Annual Conference, Lausanne (Switzerland), 2014.