Enhanced Multi Criteria Decision Analysis for Planning Power Transmission Lines

Authors Joram Schito, Ulrike Wissen Hayek, Martin Raubal



PDF
Thumbnail PDF

File

LIPIcs.GISCIENCE.2018.15.pdf
  • Filesize: 0.71 MB
  • 16 pages

Document Identifiers

Author Details

Joram Schito
  • ETH Zurich, Institute of Cartography and Geoinformation, Zurich, Switzerland
Ulrike Wissen Hayek
  • ETH Zurich, Planning of Landscape and Urban Systems, Zurich, Switzerland
Martin Raubal
  • ETH Zurich, Institute of Cartography and Geoinformation, Zurich, Switzerland

Cite AsGet BibTex

Joram Schito, Ulrike Wissen Hayek, and Martin Raubal. Enhanced Multi Criteria Decision Analysis for Planning Power Transmission Lines. In 10th International Conference on Geographic Information Science (GIScience 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 114, pp. 15:1-15:16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)
https://doi.org/10.4230/LIPIcs.GISCIENCE.2018.15

Abstract

The energy transition towards alternative energy sources requires new power transmission lines to connect these additional energy production plants with electricity distribution centers. For this reason, Multi Criteria Decision Analysis (MCDA) offers a useful approach to determine the optimal path of future transmission lines with minimum impact on the environment, on the landscape, and on affected citizens. As objections could deteriorate such a project and in turn increase costs, transparent communication regarding the planning procedure is required that fosters citizens' acceptance. In this context, GIS-based information on the criteria taken into account and for modeling possible power transmission lines is essential. However, planners often forget that the underlying multi criteria decision model and the used data might lead to biased results. Therefore, this study empirically investigates the effect of various MCDA parameters by applying a sensitivity analysis on a multi criteria decision model. The output of this analysis is evaluated combining a Cluster Analysis, a Principal Component Analysis, and a Multivariate Analysis of Variance. Our results indicate that the variability of different corridor alternatives can be increased by using different MCDA parameter combinations. In particular, we found that applying continuous boundary models on areas leads to more distinct corridor alternatives than using a sharp-edged model, and better reflects actual planning practice for protecting areas against transmission lines. Comparing the results of two study areas, we conclude that our decision model behaved similarly across both sites and, hence, that the proposed procedure for enhancing the decision model is applicable to other study areas with comparable topographies. These results can help decision-makers and transmission line planners in simplifying and improving their decision models in order to increase credibility, legitimacy, and thus practical applicability.

Subject Classification

ACM Subject Classification
  • Information systems → Decision support systems
Keywords
  • Geographic Information Systems
  • Transmission Line Planning
  • Multi-Criteria Decision Analysis
  • Sensitivity Analysis
  • Cluster Analysis

Metrics

  • Access Statistics
  • Total Accesses (updated on a weekly basis)
    0
    PDF Downloads

References

  1. Antonella Battaglini, Nadejda Komendantova, Patricia Brtnik, and Anthony Patt. Perception of barriers for expansion of electricity grids in the European Union. Energy Policy, 47:254-259, 2012. URL: http://dx.doi.org/10.1016/j.enpol.2012.04.065.
  2. Valerie Belton and Theodor Stewart. Multiple Criteria Decision Analysis: An Integrated Approach. Springer Science &Business Media, Dordrecht, Netherlands, 2002. Google Scholar
  3. Kjetil Bevanger, Gundula Bartzke, Henrik Brøseth, Espen Lie Dahl, Jan Ove Gjershaug, Frank Hanssen, Karl-Otto Jacobsen, Oddmund Kleven, Pål Kvaløy, Roel May, Roger Meås, Torgeir Nygård, Steinar Refsnæs, Sigbjørn Stokke, and Jørn Thomassen. Optimal design and routing of power lines; ecological, technical and economic perspectives (OPTIPOL). Final Report 1012, Norwegian Institute for Nature Research, Trondheim, Norway, 2014. Google Scholar
  4. Nicholas L. Cain and Hal T. Nelson. What drives opposition to high-voltage transmission lines? Land Use Policy, 33:204-213, 2013. Google Scholar
  5. Shahar Chen, David Amid, Ofer M. Shir, Lior Limonad, David Boaz, Ateret Anaby-Tavor, and Tobias Schreck. Self-organizing maps for multi-objective pareto frontiers. In 2013 IEEE Pacific Visualization Symposium, pages 153-160, 2013. Google Scholar
  6. Charles W. Churchman, Russell L. Ackoff, and Nicolas M. Smith. An approximate measure of value. Journal of the Operations Research Society of America, 2(2):172-187, 1954. Google Scholar
  7. Ana Roxana Ciupuliga and Eefje Cuppen. The role of dialogue in fostering acceptance of transmission lines: the case of a France–Spain interconnection project. Energy Policy, 60:224-233, sep 2013. URL: http://dx.doi.org/10.1016/j.enpol.2013.05.028.
  8. Michael Clegg, Katherine Ellena, David Ennis, and Chad Vickery. Ther Hierarchy of Laws: Understanding and Implementing the Legal Frameworks that Govern Election. International Foundation for Electoral Systems, Arlington, USA, 2016. Google Scholar
  9. DETEC. Sectoral Plan for Transmission Lines (SÜL), dec 2001. Google Scholar
  10. David H. Douglas. Least-cost Path in GIS Using an Accumulated Cost Surface and Slopelines. Cartographica: The International Journal for Geographic Information and Geovisualization, 31(3):37-51, 1994. 00117. URL: http://dx.doi.org/10.3138/D327-0323-2JUT-016M.
  11. Franz Eisenführ, Martin Weber, and Thomas Langer. Rational Decision Making. Springer, Berlin, 2010. Google Scholar
  12. José Figueira, Salvatore Greco, and Matthias Ehrgott. Multiple Criteria Decision Analysis: State of the Art Surveys. Springer Science &Business Media, 2005. Google Scholar
  13. Stefano Grassi, Roman Friedli, Michel Grangier, and Martin Raubal. A GIS-Based Process for Calculating Visibility Impact from Buildings During Transmission Line Routing. In Joaquín Huerta, Sven Schade, and Carlos Granell, editors, Connecting a Digital Europe Through Location and Place, Lecture Notes in Geoinformation and Cartography, pages 383-402. Springer International Publishing, jan 2014. Google Scholar
  14. Gayle Houston and Christy Johnson. EPRI-GTC Overhead Electric Transmission Line Siting Methodology. Technical Report 1013080, Electric Power Research Institute and Georgia Transmission Corporation, Palo Alto (CA) and Tucker (GA), USA, 2006. Google Scholar
  15. Piotr Jankowski, Natalia Andrienko, and Gennady Andrienko. Map-centred exploratory approach to multiple criteria spatial decision making. International Journal of Geographical Information Science, 15(2):101-127, 2001. URL: http://dx.doi.org/10.1080/13658810010005525.
  16. Joshu Jullier. More acceptance for power lines in Switzerland: An evaluation of the acceptance increasing factors for transmission lines in Switzerland. Master’s thesis, ETH Zurich, Zurich, Switzerland, 2016. URL: http://dx.doi.org/10.3929/ethz-b-000240496.
  17. Pascal Lienert, Bernadette Sütterlin, and Michael Siegrist. The influence of high-voltage power lines on the feelings evoked by different Swiss surroundings. Energy Research &Social Science, 23(Supplement C):46-59, jan 2017. URL: http://dx.doi.org/10.1016/j.erss.2016.11.010.
  18. Arika Ligmann-Zielinska and Piotr Jankowski. Spatially-explicit integrated uncertainty and sensitivity analysis of criteria weights in multicriteria land suitability evaluation. Environmental Modelling &Software, 57:235-247, 2014. Google Scholar
  19. Jacek Malczewski and Claus Rinner. Multicriteria Decision Analysis in Geographic Information Science. Advances in Geographic Information Science. Springer, Berlin, 2015. Google Scholar
  20. Stephan Pajer, Marc Streit, Thomas Torsney-Weir, Florian Spechtenhauser, Torsten Möller, and Harald Piringer. Weightlifter: Visual weight space exploration for multi-criteria decision making. IEEE transactions on visualization and computer graphics, 23(1):611-620, 2017. URL: http://dx.doi.org/10.1109/TVCG.2016.2598589.
  21. Arne Spieker. Stakeholder Dialogues and Virtual Reality for the German Energiewende. Journal of Dispute Resolution, 2018(1), jan 2018. Google Scholar
  22. Waldo R. Tobler. A computer movie simulating urban growth in the Detroit region. Economic geography, pages 234-240, 1970. Google Scholar
  23. Wade M. Vagias. Likert-type Scale Response Anchors, 2006. Google Scholar
  24. Geert Verbong and Frank Geels. The ongoing energy transition: Lessons from a socio-technical, multi-level analysis of the Dutch electricity system (1960–2004). Energy Policy, 35(2):1025-1037, feb 2007. URL: http://dx.doi.org/10.1016/j.enpol.2006.02.010.
  25. Xun Zhao, Yanhong Wu, Weiwei Cui, Xinnan Du, Yuan Chen, Yong Wang, Dik Lun Lee, and Huamin Qu. SkyLens: Visual Analysis of Skyline on Multi-Dimensional Data. IEEE Transactions on Visualization and Computer Graphics, 24(1):246-255, 2018. Google Scholar
Questions / Remarks / Feedback
X

Feedback for Dagstuhl Publishing


Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail