We developed an integrated 3D Decision Support System (3D DSS) to support planners, officials, and affected citizens during the planning process for a new transmission line. Overhead lines and underground cables are modeled taking into account geological, infrastructural, ecological, as well as socio-economic aspects. Stakeholders define interactively for each spatially-explicit factor to what extent the according areas should be protected. According to the stakeholders’ weighting, the 3D DSS quickly computes and visualizes alternatives in a 3D web-GIS-platform to support discussions for determining a consensus alternative. Further information: 3ddss.ethz.ch/
Schito, J., Moncecchi, D. & Raubal, M. (2021). Determining transmission line path alternatives using a valley-finding algorithm. Computers, Environment and Urban Systems 86, 101571. doi.org/10.1016/j.compenvurbsys.2020.101571
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. Final Report. Swiss Federal Office of Energy (SFOE). www.aramis.admin.ch/Texte/?ProjectID=41116&Sprache=en-US
Schito, J. (2020). Realistic modeling of power transmission lines with geographic information systems. Dissertation, ETH Zurich, Zurich (Switzerland). doi.org/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(3-4), 159-195. doi.org/10.1007/s40070-019-00100-w
Schito, J., Wissen Hayek, U. & Raubal, M. (2018). Enhanced multi criteria decision analysis for planning power transmission lines. Leibniz International Proceedings in Informatics 114. doi.org/10.4230/LIPIcs.GISCIENCE.2018.15
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. doi.org/10.1016/j.apgeog.2017.04.001