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Incorporating the visibility of coastal energy infrastructure into multi-criteria siting decisions

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  • Griffin, Robert
  • Chaumont, Nicolas
  • Denu, Douglas
  • Guerry, Anne
  • Kim, Choong-Ki
  • Ruckelshaus, Mary

Abstract

Concern about the visibility of large infrastructure development often drives public opposition to these projects. However, insufficient analytical tools to assess visibility across a large number of alternate sites prior to siting typically results in the omission of visibility in multi-criteria siting processes, leading to inferior site selection and often costly litigation. This paper presents an approach for deriving visibility maps based on the location and duration of viewing by residents and visitors and demonstrates its use in illuminating tradeoffs by comparing these maps to wind energy value maps in the context of offshore wind energy development in the Northeastern United States.

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  • Griffin, Robert & Chaumont, Nicolas & Denu, Douglas & Guerry, Anne & Kim, Choong-Ki & Ruckelshaus, Mary, 2015. "Incorporating the visibility of coastal energy infrastructure into multi-criteria siting decisions," Marine Policy, Elsevier, vol. 62(C), pages 218-223.
  • Handle: RePEc:eee:marpol:v:62:y:2015:i:c:p:218-223
    DOI: 10.1016/j.marpol.2015.09.024
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    1. Manwell, James F & McGowan, Jon G, 2004. "Development of wind energy systems for New England islands," Renewable Energy, Elsevier, vol. 29(10), pages 1707-1720.
    2. Ek, Kristina & Persson, Lars, 2014. "Wind farms — Where and how to place them? A choice experiment approach to measure consumer preferences for characteristics of wind farm establishments in Sweden," Ecological Economics, Elsevier, vol. 105(C), pages 193-203.
    3. Molnarova, Kristina & Sklenicka, Petr & Stiborek, Jiri & Svobodova, Kamila & Salek, Miroslav & Brabec, Elizabeth, 2012. "Visual preferences for wind turbines: Location, numbers and respondent characteristics," Applied Energy, Elsevier, vol. 92(C), pages 269-278.
    4. Landry, Craig E. & Allen, Tom & Cherry, Todd & Whitehead, John C., 2012. "Wind turbines and coastal recreation demand," Resource and Energy Economics, Elsevier, vol. 34(1), pages 93-111.
    5. Benson, Earl D & Hansen, Julia L. & Schwartz Jr., Arthur & Smersh, Greg T., 1998. "Pricing Residential Amenities: The Value of a View," The Journal of Real Estate Finance and Economics, Springer, vol. 16(1), pages 55-73, January.
    6. Tessa Mazor & Hugh P Possingham & Dori Edelist & Eran Brokovich & Salit Kark, 2014. "The Crowded Sea: Incorporating Multiple Marine Activities in Conservation Plans Can Significantly Alter Spatial Priorities," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-16, August.
    7. Andrew D. Krueger & George R. Parsons & Jeremy Firestone, 2011. "Valuing the Visual Disamenity of Offshore Wind Projects at Varying Distances from the Shore: An Application on the Delaware Shoreline," Working Papers 11-04, University of Delaware, Department of Economics.
    8. Olsen, Stephen B. & McCann, Jennifer H. & Fugate, Grover, 2014. "The State of Rhode Island's pioneering marine spatial plan," Marine Policy, Elsevier, vol. 45(C), pages 26-38.
    9. Dua, Mohit & Manwell, James F. & McGowan, Jon G., 2008. "Utility scale wind turbines on a grid-connected island: A feasibility study," Renewable Energy, Elsevier, vol. 33(4), pages 712-719.
    10. Manchado, Cristina & Otero, César & Gómez-Jáuregui, Valentín & Arias, Rubén & Bruschi, Viola & Cendrero, Antonio, 2013. "Visibility analysis and visibility software for the optimisation of wind farm design," Renewable Energy, Elsevier, vol. 60(C), pages 388-401.
    11. Richard G. Walsh & John B. Loomis & Richard A. Gillman, 1984. "Valuing Option, Existence, and Bequest Demands for Wilderness," Land Economics, University of Wisconsin Press, vol. 60(1), pages 14-29.
    12. Bishop, Ian D. & Miller, David R., 2007. "Visual assessment of off-shore wind turbines: The influence of distance, contrast, movement and social variables," Renewable Energy, Elsevier, vol. 32(5), pages 814-831.
    13. Firestone, Jeremy & Kempton, Willett, 2007. "Public opinion about large offshore wind power: Underlying factors," Energy Policy, Elsevier, vol. 35(3), pages 1584-1598, March.
    14. Molina-Ruiz, José & Martínez-Sánchez, María José & Pérez-Sirvent, Carmen & Tudela-Serrano, Mari Luz & García Lorenzo, Mari Luz, 2011. "Developing and applying a GIS-assisted approach to evaluate visual impact in wind farms," Renewable Energy, Elsevier, vol. 36(3), pages 1125-1132.
    15. Andrew D. Krueger & George R. Parsons & Jeremy Firestone, 2011. "Valuing the Visual Disamenity of Offshore Wind Power Projects at Varying Distances from the Shore: An Application on the Delaware Shoreline," Land Economics, University of Wisconsin Press, vol. 87(2), pages 268-283.
    16. Jones, Christopher R. & Richard Eiser, J., 2010. "Understanding 'local' opposition to wind development in the UK: How big is a backyard?," Energy Policy, Elsevier, vol. 38(6), pages 3106-3117, June.
    17. Groth, Theresa M. & Vogt, Christine A., 2014. "Rural wind farm development: Social, environmental and economic features important to local residents," Renewable Energy, Elsevier, vol. 63(C), pages 1-8.
    18. Mariel, Petr & Meyerhoff, Jürgen & Hess, Stephane, 2015. "Heterogeneous preferences toward landscape externalities of wind turbines – combining choices and attitudes in a hybrid model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 647-657.
    19. Halpern, Benjamin S. & Diamond, Jordan & Gaines, Steve & Gelcich, Stefan & Gleason, Mary & Jennings, Simon & Lester, Sarah & Mace, Amber & McCook, Laurence & McLeod, Karen & Napoli, Nicholas & Rawson,, 2012. "Near-term priorities for the science, policy and practice of Coastal and Marine Spatial Planning (CMSP)," Marine Policy, Elsevier, vol. 36(1), pages 198-205, January.
    20. Ladenburg, Jacob, 2008. "Attitudes towards on-land and offshore wind power development in Denmark; choice of development strategy," Renewable Energy, Elsevier, vol. 33(1), pages 111-118.
    21. Ladenburg, Jacob & Dubgaard, Alex, 2007. "Willingness to pay for reduced visual disamenities from offshore wind farms in Denmark," Energy Policy, Elsevier, vol. 35(8), pages 4059-4071, August.
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    Cited by:

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    3. Ho, Lip-Wah & Lie, Tek-Tjing & Leong, Paul TM & Clear, Tony, 2018. "Developing offshore wind farm siting criteria by using an international Delphi method," Energy Policy, Elsevier, vol. 113(C), pages 53-67.
    4. Karen T. Lourdes & Chris N. Gibbins & Perrine Hamel & Ruzana Sanusi & Badrul Azhar & Alex M. Lechner, 2021. "A Review of Urban Ecosystem Services Research in Southeast Asia," Land, MDPI, vol. 10(1), pages 1-21, January.
    5. Alphan, Hakan, 2024. "Incorporating visibility information into multi-criteria decision making (MCDM) for wind turbine deployment," Applied Energy, Elsevier, vol. 353(PB).
    6. Gkeka-Serpetsidaki, Pandora & Tsoutsos, Theocharis, 2022. "A methodological framework for optimal siting of offshore wind farms: A case study on the island of Crete," Energy, Elsevier, vol. 239(PD).

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