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Android-Based Multi-Criteria Evaluation Approach for Enhancing Public Participation for a Wind Farm Site Selection

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Geospatial Data in a Changing World

Part of the book series: Lecture Notes in Geoinformation and Cartography ((LNGC))

Abstract

This project presents a hypothetical case study of an interactive mobile-based Public Participation Geographical Information Systems (PPGIS) prototype for selection of best alternative for new offshore wind farm development in Lake Erie, northern Ohio. The prototype implements a client-server architecture where Android operating system is used for the client side, and Google Cloud Platform services and GeoServer/PostgreSQL for the server side. The potential benefits from this prototype are demonstrated through an interactive Android interface where the importance of three decision alternatives is evaluated by multiple participants using different evaluation criteria. The individual evaluation scores are aggregated by using a mathematical Pairwise comparison voting method while the sum of all individual Pairwise comparison scores yields the group solution. The results from the group solution are interactively returned and used for building consensus and to aid understanding of potential solutions coalesced from multiple participants’ perspectives.

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Notes

  1. 1.

    https://cloud.google.com, accessed 5 April 2014.

  2. 2.

    http://developer.android.com, accessed 5 April 2014.

  3. 3.

    http://geoserver.org, accessed 8 April 2014.

  4. 4.

    http://postgis.net, accessed 8 April 2014.

  5. 5.

    http://www.postgresql.org, accessed 8 April 2014.

  6. 6.

    http://www.java.com, accessed 31 March 2014.

  7. 7.

    http://www.eclipse.org, accessed 31 March 2014.

  8. 8.

    https://www.python.org, accessed 13 July 2014.

  9. 9.

    http://www.fws.gov/refuge/ottawa, accessed 19 March 2014.

  10. 10.

    http://www.proboards.com, accessed 13 July 2014.

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Acknowledgments

This investigation was supported by the US Department of Energy, Coastal Ohio Wind Award Number DE-FG36-06GO86096 and the Coastal Ohio Wind Project for Reduced Barriers to Deployment of Offshore Wind Energy Award Number: DE-EE0003871.

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Authors and Affiliations

  1. School of Earth, Environment & Society, Bowling Green State University, Bowling Green, OH, 43403, USA

    Pece V. Gorsevski

  2. Computer Science, Bowling Green State University, Bowling Green, OH, 43403, USA

    Alberto Manzano Torregrosa

Authors
  1. Pece V. Gorsevski
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  2. Alberto Manzano Torregrosa
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Corresponding author

Correspondence to Pece V. Gorsevski .

Editor information

Editors and Affiliations

  1. NLS, Finnish Geospatial Research Institute, Masala, Finland

    Tapani Sarjakoski

  2. Department of Information Systems, Universidade do Minho, Guimaraes, Portugal

    Maribel Yasmina Santos

  3. Finnish Geospatial Research Institute, National Land Survey of Finland, Helsinki, Finland

    L. Tiina Sarjakoski

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Gorsevski, P.V., Torregrosa, A.M. (2016). Android-Based Multi-Criteria Evaluation Approach for Enhancing Public Participation for a Wind Farm Site Selection. In: Sarjakoski, T., Santos, M., Sarjakoski, L. (eds) Geospatial Data in a Changing World. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-33783-8_6

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