Skip to main content
Log in

A framework for integrating stakeholder preferences when deciding on power transmission line corridors

  • Original Article
  • Published:
EURO Journal on Decision Processes

Abstract

Decisions about urban space and especially regarding power transmission lines are of great public interest, because their visibility affects citizens for decades. With citizens’ increasing awareness, they expect to be transparently informed, their concerns to be taken seriously and that decision-makers base their decisions rationally on facts and laws. In this paper, we present a 3D Decision Support System (3D DSS) that tackles this issue and allows decision-makers to find an optimal transmission line corridor on such rational basis and by considering stakeholder’s preferences regarding multiple criteria. We examined its reliability regarding the ability of predicting transmission line corridors realistically—as stakeholders would expect them—by carrying out a study in central Switzerland with 10 grid planning experts and government representatives. Moreover, we investigated the extent to which graphic representations may support decision-makers firstly in evaluating a transmission line corridor modeled by the 3D DSS, secondly in considering and improving a human-defined scenario for transmission line planning, and thirdly in changing their opinion about a human-defined path. For this, a questionnaire was statistically evaluated by means of exploratory analysis, correlation analysis, and regression analysis. The results on the investigated visual analytics approach showed that it supports the evaluation of the corridor modeled by the 3D DSS as well as of the scenario defined by the stakeholders. As our new approach allows stakeholders to evaluate a transmission line path they consider to be optimal for land and population, it has a high potential for supporting rational group decision-making when considering different opinions.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

  • Andrienko G, Andrienko N, Jankowski P, Keim D, Kraak MJ, MacEachren A, Wrobel S (2007) Geovisual analytics for spatial decision support: setting the research agenda. Int J Geogr Inf Sci 21(8):839–857. https://doi.org/10.1080/13658810701349011

    Article  Google Scholar 

  • Andrienko G, Andrienko N, Demsar U, Dransch D, Dykes J, Fabrikant SI, Jern M, Kraak MJ, Schumann H, Tominski C (2010) Space, time and visual analytics. Int J Geogr Inf Sci 24(10):1577–1600. https://doi.org/10.1080/13658816.2010.508043

    Article  Google Scholar 

  • Andrienko N, Andrienko G (2003) Informed spatial decisions through coordinated views. Inf Vis 2(4):270–285. https://doi.org/10.1057/palgrave.ivs.9500058

    Article  Google Scholar 

  • Anwarzai MA, Nagasaka K (2017) Utility-scale implementable potential of wind and solar energies for Afghanistan using GIS multi-criteria decision analysis. Renew Sustain Energy Rev 71:150–160. https://doi.org/10.1016/j.rser.2016.12.048

    Article  Google Scholar 

  • Bagli S, Geneletti D, Orsi F (2011) Routeing of power lines through least-cost path analysis and multicriteria evaluation to minimise environmental impacts. Environ Impact Assess Rev 31(3):234–239. https://doi.org/10.1016/j.eiar.2010.10.003

    Article  Google Scholar 

  • Barzilai J (1998) On the decomposition of value functions. Oper Res Lett 22(4):159–170. https://doi.org/10.1016/S0167-6377(98)00015-7

    Article  Google Scholar 

  • Belton V, Gear T (1983) On a short-coming of Saaty’s method of analytic hierarchies. Omega 11(3):228–230. https://doi.org/10.1016/0305-0483(83)90047-6

    Article  Google Scholar 

  • Belton V, Stewart T (2002) Multiple criteria decision analysis: an integrated approach. Springer, Dordrecht

    Google Scholar 

  • Bevanger K, Bartzke G, Brøseth H, Dahl EL, Gjershaug JO, Hanssen F, Jacobsen KO, Kleven O, Kvaløy P, May R, Meås R, Nygård T, Refsnæs S, Stokke S, Thomassen J (2014) Optimal design and routing of power lines; ecological, technical and economic perspectives (OPTIPOL). Final Report 1012, Norwegian Institute for Nature Research, Trondheim (Norway)

  • Brans JP, Vincke P (1985) Note-A preference ranking organisation method. Manag Sci 31(6):647–656. https://doi.org/10.1287/mnsc.31.6.647

    Article  Google Scholar 

  • Cain NL, Nelson HT (2013) What drives opposition to high-voltage transmission lines? Land Use Policy 33:204–213. https://doi.org/10.1016/j.landusepol.2013.01.003

    Article  Google Scholar 

  • Carver SJ (1991) Integrating multi-criteria evaluation with geographical information systems. Int J Geogr Inf Syst 5(3):321–339. https://doi.org/10.1080/02693799108927858

    Article  Google Scholar 

  • Ceglarz A, Beneking A, Ellenbeck S, Battaglini A (2017) Understanding the role of trust in power line development projects: evidence from two case studies in Norway. Energy Policy 110:570–580. https://doi.org/10.1016/j.enpol.2017.08.051

    Article  Google Scholar 

  • Chandio IA, Matori ANB, WanYusof KB, Talpur MAH, Balogun AL, Lawal DU (2013) GIS-based analytic hierarchy process as a multicriteria decision analysis instrument: a review. Arab J Geosci 6(8):3059–3066. https://doi.org/10.1007/s12517-012-0568-8

    Article  Google Scholar 

  • Chaniotis D, Schmitt L (2018) Ten-year network development plan. Technical Report TYNDP (2018) Executive Report. ENTSO-E AISBL, Brussels (Belgium)

  • Chen S, Amid D, Shir OM, Limonad L, Boaz D, Anaby-Tavor A, Schreck T (2013) Self-organizing maps for multi-objective pareto frontiers. In: 2013 IEEE pacific visualization symposium, pp 153–160

  • Clegg M, Ellena K, Ennis D, Vickery C (2016) The hierarchy of laws: understanding and implementing the legal frameworks that govern election. International Foundation for Electoral Systems, Arlington, VA

    Google Scholar 

  • Collischonn W, Pilar JV (2000) A direction dependent least-cost-path algorithm for roads and canals. Int J Geogr Inf Sci 14(4):397–406

    Article  Google Scholar 

  • DETEC (2013) Bewertungsschema für Übertragungsleitungen. Federal Department of the Environment, Transport, Energy and Communications DETEC, Bern

  • Dijkstra EW (1959) A note on two problems in connexion with graphs. Numer Math 1(1):269–271

    Article  Google Scholar 

  • Eisenführ F, Weber M, Langer T (2010) Rational decision making. Springer, Berlin

    Book  Google Scholar 

  • Ekel PY, Lisboa AC, Pereira JG, Vieira DAG, Silva LML, D’Angelo MFSV (2019) Two-stage multicriteria georeferenced express analysis of new electric transmission line projects. Int J Electr Power Energy Syst 108:415–431. https://doi.org/10.1016/j.ijepes.2019.01.008

    Article  Google Scholar 

  • Eroğlu H, Aydin M (2015) Optimization of electrical power transmission lines’ routing using AHP, fuzzy AHP, and GIS. Turk J Electr Eng Comput Sci 23:1418–1430. https://doi.org/10.3906/elk-1211-59

    Article  Google Scholar 

  • Çetinkaya C, Özceylan E, Erbaş M, Kabak M (2016) GIS-based fuzzy MCDA approach for siting refugee camp: a case study for southeastern Turkey. Int J Disaster Risk Reduct 18:218–231. https://doi.org/10.1016/j.ijdrr.2016.07.004

    Article  Google Scholar 

  • Feizizadeh B, Blaschke T, Nazmfar H (2014) GIS-based ordered weighted averaging and Dempster–Shafer methods for landslide susceptibility mapping in the Urmia Lake Basin, Iran. Int J Dig Earth 7(8):688–708

    Article  Google Scholar 

  • Feizizadeh B, Omrani K, Aghdam FB (2015) Fuzzy analytical hierarchical process and spatially explicit uncertainty analysis approach for multiple forest fire risk mapping. GI_Forum 1:72–80. https://doi.org/10.1553/giscience2015s72

    Article  Google Scholar 

  • Gettinger J, Koeszegi ST, Schoop M (2012) Shall we dance? The effect of information presentations on negotiation processes and outcomes. Decis Support Syst 53(1):161–174. https://doi.org/10.1016/j.dss.2012.01.001

    Article  Google Scholar 

  • Goodchild MF (2001) Issues in Spatially Explicit Modeling. In: Parker DC, Berger T, Manson SM, McConnell WJ (eds) Agent-based models of land-use and land-cover change, vol Report and Review of an International Workshop, Irvine, pp 13–17

  • Grassi S, Friedli R, Grangier M, Raubal M (2014) A GIS-based process for calculating visibility impact from buildings during transmission line routing. In: Huerta J, Schade S, Granell C (eds) Connecting a digital Europe through location and place. Lecture Notes in Geoinformation and Cartography, Springer, New York, pp 383–402

    Chapter  Google Scholar 

  • Greene R, Devillers R, Luther JE, Eddy BG (2011) GIS-based multiple-criteria decision analysis. Geograph Compass 5(6):412–432. https://doi.org/10.1111/j.1749-8198.2011.00431.x

    Article  Google Scholar 

  • Hedtke S, Pfeiffer MD, Franck C, Dermont C, Stadelmann-Steffen I, Jullier J (2018) HVDC & hybrid HVAC/HVDC overhead line conversion: an acceptance case study. Cigré, pp B2–303

  • Hogarth RM, Soyer E (2015) Providing information for decision making: contrasting description and simulation. J Appl Res Mem Cognit 4(3):221–228. https://doi.org/10.1016/j.jarmac.2014.01.005

    Article  Google Scholar 

  • Houston G, Johnson C (2006) EPRI-GTC overhead electric transmission line siting methodology. Technical Report 1013080, Electric Power Research Institute and Georgia Transmission Corporation, Palo Alto, CA

  • Howell DC (2010) Statistical methods for psychology, 7th edn. Wadsworth, Cengage Learning, Belmont

    Google Scholar 

  • Hwang CL, Yoon K (1981) Multiple attribute decision making: methods and applications: a state-of-the-art survey. Lecture notes in economics and mathematical systems, vol 186. Springer, Berlin

    Chapter  Google Scholar 

  • Jankowski P, Nyerges T (2001) GIS-supported collaborative decision making: results of an experiment. Ann Assoc Am Geogr 91(1):48–70. https://doi.org/10.1111/0004-5608.00233

    Article  Google Scholar 

  • Jankowski P, Andrienko N, Andrienko G (2001a) Map-centred exploratory approach to multiple criteria spatial decision making. Int J Geogr Inf Sci 15(2):101–127. https://doi.org/10.1080/13658810010005525

    Article  Google Scholar 

  • Jankowski P, Nyerges T, Nyerges T (2001b) Geographic information systems for group decision making. CRC Press. https://doi.org/10.4324/9780203484906

    Article  Google Scholar 

  • Jullier J (2016) 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. https://doi.org/10.3929/ethz-b-000240496

  • Kiessling F, Nefzger P, Nolasco JF, Kaintzyk U (2003) Overhead power lines: planning, design, construction. Springer, Berlin

    Book  Google Scholar 

  • Lami IM, Abastante F, Bottero M, Masala E, Pensa S (2014) Integrating multicriteria evaluation and data visualization as a problem structuring approach to support territorial transformation projects. EURO J Decis Process 2(3):281–312. https://doi.org/10.1007/s40070-014-0033-x

    Article  Google Scholar 

  • Latinopoulos D, Kechagia K (2015) A GIS-based multi-criteria evaluation for wind farm site selection. A regional scale application in Greece. Renew Energy 78:550–560. https://doi.org/10.1016/j.renene.2015.01.041

    Article  Google Scholar 

  • Laugwitz B, Held T, Schrepp M (2008) Construction and evaluation of a user experience questionnaire. In: Holzinger A (ed) HCI and usability for education and work. Lecture notes in computer science, vol LNCS 5298, Springer, Berlin, pp 63–76

    Google Scholar 

  • Likert R (1932) A technique for the measurement of attitudes. Arch Psychol 22(140):55

    Google Scholar 

  • Longley PA, Goodchild MF, Maguire DJ, Rhind DW (2015) Geographic information systems and science, 4th edn. Wiley, Hoboken

    Google Scholar 

  • Luain C, Figueroa L, Penserini P (2017) Environmental issues. In: Papailiou KO (ed) Overhead lines. Springer, Cham, pp 277–340. https://doi.org/10.1007/978-3-319-31747-26

  • Malczewski J (1999) GIS and multicriteria decision analysis. Wiley, New York

    Google Scholar 

  • Malczewski J (2004) GIS-based land-use suitability analysis: a critical overview. Progress Plan 62(1):3–65. https://doi.org/10.1016/j.progress.2003.09.002

    Article  Google Scholar 

  • Malczewski J (2006) GIS-based multicriteria decision analysis: a survey of the literature. Int J Geogr Inf Sci 20(7):703–726. https://doi.org/10.1080/13658810600661508

    Article  Google Scholar 

  • Malczewski J, Rinner C (2015) Multicriteria decision analysis in geographic information science. Advances in geographic information science. Springer, Berlin

    Book  Google Scholar 

  • Maran S, Garofalo E, Molinengo V, Patt A, Scolobig A, Späth L, Amodeo E, Luè A, Muratori S, Schalbart P, Ceglarz A, Beneking A, Ellenbeck S, Battaglini A, Schneider T, Hildebrand J (2017) INSPIRE-Grid: improved and enhanced stakeholders participation in reinforcement of electricity grid. Final Synthesis Report 608472, RSE (Ricerca sul Sistema Energetico) SpA, Milano (Italy)

  • Monteiro C, Ramirez-Rosado IJ, Miranda V, Zorzano-Santamaria PJ, Garcia-Garrido E, Fernandez-Jimenez LA (2005) GIS spatial analysis applied to electric line routing optimization. IEEE Trans Power Deliv 20(2):934–942. https://doi.org/10.1109/TPWRD.2004.839724

    Article  Google Scholar 

  • Mourmouris JC, Potolias C (2013) A multi-criteria methodology for energy planning and developing renewable energy sources at a regional level: a case study Thassos, Greece. Energy Policy 52:522–530. https://doi.org/10.1016/j.enpol.2012.09.074

    Article  Google Scholar 

  • Myers JL, Well AD, Forch RF (2010) Research design and statistical analysis, vol 3, edition edn. Routledge, New York

    Google Scholar 

  • Rheinert P (1999) Freileitungen minimaler Sichtbarkeit und deren gleichzeitige Optimierung nach mehreren Kriterien. Dissertation, Universität Saarbrücken, Saarbrücken (Germany)

  • Rikalovic A, Cosic I, Lazarevic D (2014) GIS based multi-criteria analysis for industrial site selection. Proc Eng 69:1054–1063. https://doi.org/10.1016/j.proeng.2014.03.090

    Article  Google Scholar 

  • Roy B, Vanderpooten D (1996) The European school of MCDA: emergence, basic features and current works. J Multi-Crit Decis Anal 5(1):22–38. https://doi.org/10.1002/(SICI)1099-1360(199603)5:1<22::AID-MCDA93>3.0.CO;2-F

    Article  Google Scholar 

  • Saaty TL, Vargas LG (2013) Decision making with the analytic network process: economic, political, social and technological applications with benefits, opportunities, costs and risks. International series in operations research and management science, vol 195, 2nd edn. Springer, New York

    Book  Google Scholar 

  • Schito J (2017) Modeling and optimizing transmission lines with GIS and multi-criteria decision analysis. Inf Technol 59(1):1–9. https://doi.org/10.1515/itit-2016-0057

    Article  Google Scholar 

  • Schito J, Wissen Hayek U, Raubal M (2018) Enhanced multi criteria decision analysis for planning power transmission lines. In: Winter S, Griffin A, Sester M (eds) Proceedings 10th international conference on geographic information science (GIScience 2018), LIPICS, Melbourne (Australia), vol 114. https://doi.org/10.4230/LIPIcs.GIScience.2018.15

  • Schmidt AJ (2009) Implementing a GIS methodology for siting high voltage electric transmission lines. Pap Resour Anal 11(2):58–63

    Google Scholar 

  • Schoinas K (2018) Planning earth cables with GIS. Master’s thesis, ETH Zurich, Institute of Cartography and Geoinformation, Zurich

  • Seifi H, Sepasian MS (2011) Network expansion planning, a basic approach. In: Electric power system planning, Springer, New York, pp 133–154

    Google Scholar 

  • Sánchez-Lozano JM, Henggeler Antunes C, García-Cascales MS, Dias LC (2014) GIS-based photovoltaic solar farms site selection using ELECTRE-TRI: Evaluating the case for Torre Pacheco, Murcia, Southeast of Spain. Renew Energy 66:478–494. https://doi.org/10.1016/j.renene.2013.12.038

    Article  Google Scholar 

  • Soltani A, Hewage K, Reza B, Sadiq R (2015) Multiple stakeholders in multi-criteria decision-making in the context of municipal solid waste management: a review. Waste Manag 35:318–328. https://doi.org/10.1016/j.wasman.2014.09.010

    Article  Google Scholar 

  • Spieker A (2018) Stakeholder dialogues and virtual reality for the German Energiewende. J Dispute Resolut 2018(1)

  • Späth L, Amodeo E, Luè A, Muratori S, Scolobig A, Patt A (2018) Stakeholder engagement and multi-criteria decision aiding in the electricity transmission grid reinforcement: evidence from a role-playing game. J Environ Plan Manag 61(13):2378–2395. https://doi.org/10.1080/09640568.2017.1395317

    Article  Google Scholar 

  • Swiss Federal Council (1966) Federal Nature Conservation Act (NHG)

  • Swiss Federal Council (1994) Regulation on the planning approval procedure for electrical systems (VPeA)

  • Swiss Federal Council (1996) Regulation on mire landscape protection (Moorlandschaftsverordnung)

  • Swiss Federal Council (1999a) Regulation on the protection against non-ionizing radiation (NISV)

  • Swiss Federal Council (1999b) Swiss federal constitution (BV)

  • Swiss Federal Council (2017a) Federal act on the conversion and expansion of the electricity grid (BBl 2017 7909)

  • Swiss Federal Council (2017b) Regulation on the federal inventory on landscapes and natural monuments (VBLN)

  • 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. Appl Geograph 83:78–85

    Article  Google Scholar 

  • Wind Y, Saaty TL (1980) Marketing applications of the analytic hierarchy process. Manag Sci 26(7):641–658

    Article  Google Scholar 

  • Yager RR (1988) On ordered weighted averaging aggregation operators in multicriteria decision-making. IEEE Trans Syst Man Cybern 18(1):183–190. https://doi.org/10.1109/21.87068

    Article  Google Scholar 

Download references

Acknowledgements

We would like to thank the participants for their efforts and the time spent on the study, and for supporting our work in this way and helping us obtain results to further improve the investigated approaches.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Joram Schito.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This research is financially supported by the Swiss Federal Office of Energy SFOE and by the grid operators Swissgrid, ewz, and Elia. Furthermore, it is part of the activities of the Swiss Competence Center for Energy Research on the Future Swiss Electrical Infrastructure (SCCER-FURIES), which is financially supported by the Swiss Innovation Agency (Innosuisse-SCCER program).

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Schito, J., Jullier, J. & Raubal, M. A framework for integrating stakeholder preferences when deciding on power transmission line corridors. EURO J Decis Process 7, 159–195 (2019). https://doi.org/10.1007/s40070-019-00100-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40070-019-00100-w

Keywords

Mathematics Subject Classification

Navigation