IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v13y2024i10p1596-d1489931.html
   My bibliography  Save this article

Visual Impact Assessment Method for Cultural Heritage: West Lake Cultural Landscape in Hangzhou, China

Author

Listed:
  • Huaiyun Kou

    (College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China)

  • Longchang Zhang

    (College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China)

  • Sichu Zhang

    (Library and Information Centre, Shanghai Urban Construction Vocational College, Shanghai 200433, China)

Abstract

Visual Impact Assessment (VIA) is a critical tool in managing cultural heritage, evaluating the impacts of development and construction projects on the visual aspects of heritage values. However, VIA is often constrained by subjectivity, low public participation, and a lack of generalizability. This study aims to develop a methodological framework for a more objective and comprehensive assessment of visual impacts on cultural heritage. The study establishes criteria for indicators based on the value attributes of cultural heritage, develops an assessment indicator system, and integrates visual sensitivity assessment through multi-factor calculations with visual perception assessment using the AHP method and questionnaire surveys. This constructs an assessment framework that combines both objectivity and subjectivity. The Shangri-La Hotel East Building project at the World Heritage site of the West Lake Cultural Landscape of Hangzhou, China, is employed as a case study to empirically demonstrate the framework’s practicality and effectiveness. The results indicate that the Shangri-La East Building significantly impacts the attributes of the West Lake. The conclusion demonstrates that the indicator system, grounded in the attributes of cultural heritage, enhances the framework’s applicability across different contexts. The integrated assessment framework, which includes both a quantitative assessment of visual sensitivity and a public-participation-based assessment of visual perception, is shown to be effective in predicting the visual impacts of proposed projects on heritage values. The study also underscores the importance of Heritage Impact Assessment as a preliminary evaluation.

Suggested Citation

  • Huaiyun Kou & Longchang Zhang & Sichu Zhang, 2024. "Visual Impact Assessment Method for Cultural Heritage: West Lake Cultural Landscape in Hangzhou, China," Land, MDPI, vol. 13(10), pages 1-22, September.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:10:p:1596-:d:1489931
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/13/10/1596/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/13/10/1596/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Torres Sibille, Ana del Carmen & Cloquell-Ballester, Víctor-Andrés & Cloquell-Ballester, Vicente-Agustín & Darton, Richard, 2009. "Development and validation of a multicriteria indicator for the assessment of objective aesthetic impact of wind farms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(1), pages 40-66, January.
    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. Ioannidis, Romanos & Koutsoyiannis, Demetris, 2020. "A review of land use, visibility and public perception of renewable energy in the context of landscape impact," Applied Energy, Elsevier, vol. 276(C).
    2. Tabassum-Abbasi, & Premalatha, M. & Abbasi, Tasneem & Abbasi, S.A., 2014. "Wind energy: Increasing deployment, rising environmental concerns," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 270-288.
    3. Kontogianni, A. & Tourkolias, Ch. & Skourtos, M. & Damigos, D., 2014. "Planning globally, protesting locally: Patterns in community perceptions towards the installation of wind farms," Renewable Energy, Elsevier, vol. 66(C), pages 170-177.
    4. 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.
    5. 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.
    6. 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.
    7. Fernandez-Jimenez, L. Alfredo & Mendoza-Villena, Montserrat & Zorzano-Santamaria, Pedro & Garcia-Garrido, Eduardo & Lara-Santillan, Pedro & Zorzano-Alba, Enrique & Falces, Alberto, 2015. "Site selection for new PV power plants based on their observability," Renewable Energy, Elsevier, vol. 78(C), pages 7-15.
    8. Sunak, Yasin & Madlener, Reinhard, 2016. "The impact of wind farm visibility on property values: A spatial difference-in-differences analysis," Energy Economics, Elsevier, vol. 55(C), pages 79-91.
    9. Ki, Jaehong & Yun, Sun-Jin & Kim, Woo-Chang & Oh, Subin & Ha, Jihun & Hwangbo, Eunyoung & Lee, Hyoeun & Shin, Sumin & Yoon, Seulki & Youn, Hyewon, 2022. "Local residents’ attitudes about wind farms and associated noise annoyance in South Korea," Energy Policy, Elsevier, vol. 163(C).
    10. Katsaprakakis, Dimitris Al., 2012. "A review of the environmental and human impacts from wind parks. A case study for the Prefecture of Lasithi, Crete," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2850-2863.
    11. Salak, B. & Lindberg, K. & Kienast, F. & Hunziker, M., 2021. "How landscape-technology fit affects public evaluations of renewable energy infrastructure scenarios. A hybrid choice model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    12. Sumper, Andreas & Boix-Aragonès, Oriol & Villafáfila-Robles, Roberto & Bergas-Jané, Joan & Ramírez-Pisco, Rodrigo, 2010. "Methodology for the assessment of the impact of existing high voltage lines in urban areas," Energy Policy, Elsevier, vol. 38(10), pages 6036-6044, October.
    13. Frontuto, Vito & Corsi, Alessandro & Novelli, Silvia & Gullino, Paola & Larcher, Federica, 2020. "The visual impact of agricultural sheds on rural landscapes: The willingness to pay for mitigation solutions and treatment effects," Land Use Policy, Elsevier, vol. 91(C).
    14. Alphan, H., 2021. "Modelling potential visibility of wind turbines: A geospatial approach for planning and impact mitigation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    15. Picchi, Paolo & van Lierop, Martina & Geneletti, Davide & Stremke, Sven, 2019. "Advancing the relationship between renewable energy and ecosystem services for landscape planning and design: A literature review," Ecosystem Services, Elsevier, vol. 35(C), pages 241-259.
    16. Manchado, Cristina & Gomez-Jauregui, Valentin & Otero, César, 2015. "A review on the Spanish Method of visual impact assessment of wind farms: SPM2," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 756-767.
    17. Zaunbrecher, Barbara S. & Linzenich, Anika & Ziefle, Martina, 2017. "A mast is a mast is a mast…? Comparison of preferences for location-scenarios of electricity pylons and wind power plants using conjoint analysis," Energy Policy, Elsevier, vol. 105(C), pages 429-439.
    18. Arnberger, Arne & Eder, Renate & Allex, Brigitte & Preisel, Hemma & Ebenberger, Martin & Husslein, Maria, 2018. "Trade-offs between wind energy, recreational, and bark-beetle impacts on visual preferences of national park visitors," Land Use Policy, Elsevier, vol. 76(C), pages 166-177.
    19. Ioannidis, R. & Mamassis, N. & Efstratiadis, A. & Koutsoyiannis, D., 2022. "Reversing visibility analysis: Towards an accelerated a priori assessment of landscape impacts of renewable energy projects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    20. Manchado, Cristina & Gomez-Jauregui, Valentin & Lizcano, Piedad E. & Iglesias, Andres & Galvez, Akemi & Otero, Cesar, 2019. "Wind farm repowering guided by visual impact criteria," Renewable Energy, Elsevier, vol. 135(C), pages 197-207.

    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:gam:jlands:v:13:y:2024:i:10:p:1596-:d:1489931. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.