3D DSS – 3D Decision Support System for Power Transmission Line Planning

Project description

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/

Research themes

Participatory planning

Integrated landscape management

Project details

  • Start date:
    October 1, 2014
  • End date:
    September 30, 2020
  • Location:
    Switzerland
  • Funded by:
    Swiss Federal Office of Energy (SFOE), Swissgrid, Austrian Power Grid (APG), BKW, Elia, ewz
  • Objectives:
    Developing an integrated 3D GIS web-platform to define the optimal path of a new transmission line, to enhance the communication among all stakeholders involved in a project and to reduce the social opposition

Project contact

Martin Raubal

ETH Zurich, Institute of Cartography and Geoinformation

Team members

  • Martin Raubal
  • Joram Schito
  • Ulrike Wissen Hayek
  • Adrienne Grêt-Regamey

Participating partners

Stefano Grassi; Philippe Bieri

Gilytics

Related 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.org/10.1016/j.compenvurbsys.2020.101571

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. Swiss Federal Office of Energy (SFOE), 2020. www.aramis.admin.ch/Texte/?ProjectID=41116&Sprache=en-US

Joram Schito. Realistic Modeling of Power Transmission Lines with Geographic Information Systems. Dissertation, ETH Zurich, Zurich (Switzerland), 2020. doi.org/10.3929/ethz-b-000454195

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.org/10.1007/s40070-019-00100-w

Joram Schito, Ulrike Wissen Hayek and Martin Raubal. Enhanced multi criteria decision analysis for planning power transmission lines. GIScience Conference 2018, Melbourne, Australia. DOI: 10.4230/LIPIcs.GISCIENCE.2018.15

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. doi.org/10.1016/j.apgeog.2017.04.001 blication in a new line.

Participatory Mapping Institute
Copyright 2020