IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v25y2023i5d10.1007_s10668-022-02209-6.html
   My bibliography  Save this article

Visual impact assessment of renewable energy developments with the application of multi-criteria decision-making method

Author

Listed:
  • Sepida Darabi

    (Islamic Azad University)

  • Seyed Masoud Monavari

    (Islamic Azad University)

  • Seyed Ali Jozi

    (North Tehran Branch, Islamic Azad University)

  • Raziyeh Rahimi

    (Islamic Azad University)

  • Alireza Vafaeinejad

    (Shahid Beheshti University)

Abstract

The large scale of wind projects and wind turbines’ height result in a high level of visibility in the surrounding environment. Urban environments and tourism landscapes are visually sensitive viewpoints with sensitive receptors that need accurate visual impact assessments for the prediction of new projects’ effects on the existing landscape settings. In this study, distance, visibility, receptors sensitivity and view percentage that are four important criteria of visual impact have been used for impact assessment of Manjil wind farm’s visual effect in the urban environment and tourist destinations of Manjil City in Gilan Province of Iran. The main asset of this study is applying the multi-criteria decision-making method and also using the receptor sensitivity factor which helps to the detection of the most fragile areas based on the sensitivity of the potential significant observers and prepares the possibility of calculating a more accurate extent of the affected areas according to the impact magnitude. Significant viewpoints were determined based on the land use maps and field study and the calculated visibility and view percentage of the points combined by interpolation methods to prepare criteria layers. Receptor sensitivity map developed with classifying the land use data according to the observers’ sensitivity. The multi-criteria decision-making method and determined weights were used to calculate the visual impact magnitude. Significant viewpoints of the tourist destinations and buildings of the study area were affected by the high visual impact. Comparison of the calculated results from utilized techniques shows 84.73% similarity.

Suggested Citation

  • Sepida Darabi & Seyed Masoud Monavari & Seyed Ali Jozi & Raziyeh Rahimi & Alireza Vafaeinejad, 2023. "Visual impact assessment of renewable energy developments with the application of multi-criteria decision-making method," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(5), pages 4437-4451, May.
  • Handle: RePEc:spr:endesu:v:25:y:2023:i:5:d:10.1007_s10668-022-02209-6
    DOI: 10.1007/s10668-022-02209-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-022-02209-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10668-022-02209-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hund, Kirsten & Schure, Jolien & van der Goes, Arend, 2017. "Extractive industries in forest landscapes: options for synergy with REDD+ and development of standards in the Democratic Republic of Congo," Resources Policy, Elsevier, vol. 54(C), pages 97-108.
    2. Lei Zhang & Guanglei Hou & Fengping Li, 2020. "Dynamics of landscape pattern and connectivity of wetlands in western Jilin Province, China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(3), pages 2517-2528, March.
    3. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    4. Pavel, Claudiu C. & Lacal-Arántegui, Roberto & Marmier, Alain & Schüler, Doris & Tzimas, Evangelos & Buchert, Matthias & Jenseit, Wolfgang & Blagoeva, Darina, 2017. "Substitution strategies for reducing the use of rare earths in wind turbines," Resources Policy, Elsevier, vol. 52(C), pages 349-357.
    5. Shahba, Sudabe & Arjmandi, Reza & Monavari, Masoud & Ghodusi, Jamal, 2017. "Application of multi-attribute decision-making methods in SWOT analysis of mine waste management (case study: Sirjan's Golgohar iron mine, Iran)," Resources Policy, Elsevier, vol. 51(C), pages 67-76.
    6. Thi Thu Huong Hoang & Anton Van Rompaey & Patrick Meyfroidt & Gerard Govers & Kim Chi Vu & An Thinh Nguyen & Luc Hens & Veerle Vanacker, 2020. "Impact of tourism development on the local livelihoods and land cover change in the Northern Vietnamese highlands," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(2), pages 1371-1395, February.
    7. Wróżyński, Rafał & Sojka, Mariusz & Pyszny, Krzysztof, 2016. "The application of GIS and 3D graphic software to visual impact assessment of wind turbines," Renewable Energy, Elsevier, vol. 96(PA), pages 625-635.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Alphan, Hakan, 2024. "Incorporating visibility information into multi-criteria decision making (MCDM) for wind turbine deployment," Applied Energy, Elsevier, vol. 353(PB).
    2. Buchmayr, A. & Verhofstadt, E. & Van Ootegem, L. & Thomassen, G. & Taelman, S.E. & Dewulf, J., 2022. "Exploring the global and local social sustainability of wind energy technologies: An application of a social impact assessment framework," Applied Energy, Elsevier, vol. 312(C).
    3. Seiler, Volker, 2024. "The relationship between Chinese and FOB prices of rare earth elements – Evidence in the time and frequency domain," The Quarterly Review of Economics and Finance, Elsevier, vol. 95(C), pages 160-179.
    4. Banai, Reza, 2010. "Evaluation of land use-transportation systems with the Analytic Network Process," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 3(1), pages 85-112.
    5. Fatih Yiğit & Şakir Esnaf, 2021. "A new Fuzzy C-Means and AHP-based three-phased approach for multiple criteria ABC inventory classification," Journal of Intelligent Manufacturing, Springer, vol. 32(6), pages 1517-1528, August.
    6. Rachele Corticelli & Margherita Pazzini & Cecilia Mazzoli & Claudio Lantieri & Annarita Ferrante & Valeria Vignali, 2022. "Urban Regeneration and Soft Mobility: The Case Study of the Rimini Canal Port in Italy," Sustainability, MDPI, vol. 14(21), pages 1-27, November.
    7. Hu, Xueyue & Wang, Chunying & Elshkaki, Ayman, 2024. "Material-energy Nexus: A systematic literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
    8. Lin, Sheng-Hau & Zhao, Xiaofeng & Wu, Jiuxing & Liang, Fachao & Li, Jia-Hsuan & Lai, Ren-Ji & Hsieh, Jing-Chzi & Tzeng, Gwo-Hshiung, 2021. "An evaluation framework for developing green infrastructure by using a new hybrid multiple attribute decision-making model for promoting environmental sustainability," Socio-Economic Planning Sciences, Elsevier, vol. 75(C).
    9. Pishchulov, Grigory & Trautrims, Alexander & Chesney, Thomas & Gold, Stefan & Schwab, Leila, 2019. "The Voting Analytic Hierarchy Process revisited: A revised method with application to sustainable supplier selection," International Journal of Production Economics, Elsevier, vol. 211(C), pages 166-179.
    10. Seung-Jin Han & Won-Jae Lee & So-Hee Kim & Sang-Hoon Yoon & Hyunwoong Pyun, 2022. "Assessing Expected Long-term Benefits for the Olympic Games: Delphi-AHP Approach from Korean Olympic Experts," SAGE Open, , vol. 12(4), pages 21582440221, December.
    11. Denys Yemshanov & Frank H. Koch & Yakov Ben‐Haim & Marla Downing & Frank Sapio & Marty Siltanen, 2013. "A New Multicriteria Risk Mapping Approach Based on a Multiattribute Frontier Concept," Risk Analysis, John Wiley & Sons, vol. 33(9), pages 1694-1709, September.
    12. Mangla, Sachin Kumar & Srivastava, Praveen Ranjan & Eachempati, Prajwal & Tiwari, Aviral Kumar, 2024. "Exploring the impact of key performance factors on energy markets: From energy risk management perspectives," Energy Economics, Elsevier, vol. 131(C).
    13. Seyed Rakhshan & Ali Kamyad & Sohrab Effati, 2015. "Ranking decision-making units by using combination of analytical hierarchical process method and Tchebycheff model in data envelopment analysis," Annals of Operations Research, Springer, vol. 226(1), pages 505-525, March.
    14. V. Srinivasan & G. Shainesh & Anand K. Sharma, 2015. "An approach to prioritize customer-based, cost-effective service enhancements," The Service Industries Journal, Taylor & Francis Journals, vol. 35(14), pages 747-762, October.
    15. Mónica García-Melón & Blanca Pérez-Gladish & Tomás Gómez-Navarro & Paz Mendez-Rodriguez, 2016. "Assessing mutual funds’ corporate social responsibility: a multistakeholder-AHP based methodology," Annals of Operations Research, Springer, vol. 244(2), pages 475-503, September.
    16. Jitendar Kumar Khatri & Bhimaraya Metri, 2016. "SWOT-AHP Approach for Sustainable Manufacturing Strategy Selection: A Case of Indian SME," Global Business Review, International Management Institute, vol. 17(5), pages 1211-1226, October.
    17. Vlachokostas, Ch. & Michailidou, A.V. & Achillas, Ch., 2021. "Multi-Criteria Decision Analysis towards promoting Waste-to-Energy Management Strategies: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    18. Cui, Ye & E, Hanyu & Pedrycz, Witold & Fayek, Aminah Robinson, 2022. "A granular multicriteria group decision making for renewable energy planning problems," Renewable Energy, Elsevier, vol. 199(C), pages 1047-1059.
    19. Jha, Madan K. & Chowdary, V.M. & Kulkarni, Y. & Mal, B.C., 2014. "Rainwater harvesting planning using geospatial techniques and multicriteria decision analysis," Resources, Conservation & Recycling, Elsevier, vol. 83(C), pages 96-111.
    20. Om Prakash Mishra & Mahesh Chand & Krishan Kumar & Prashant Mishra, 2023. "Investigating applicability of green supply chain management in manufacturing sectors," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(4), pages 1183-1196, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:endesu:v:25:y:2023:i:5:d:10.1007_s10668-022-02209-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.