IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i16p7140-d1459990.html
   My bibliography  Save this article

Optimization Strategies for Waterfront Plant Landscapes in Traditional Villages: A Scenic Beauty Estimation–Entropy Weighting Method Analysis

Author

Listed:
  • Lie Wang

    (Art School, Hunan University of Information Technology, Changsha 410151, China)

  • Chuanhao Sun

    (College of Architecture and Urban Planning, Guangzhou University, Guangzhou 510006, China)

  • Mo Wang

    (College of Architecture and Urban Planning, Guangzhou University, Guangzhou 510006, China
    Architectural Design and Research Institute, Guangzhou University, Guangzhou 510091, China)

Abstract

This investigation delves into the waterfront plant landscapes of traditional villages in Western Hunan, China, aiming to bolster sustainable ecological resource management, amplify ecological culture, and ameliorate environmental standards. Furthermore, it endeavors to furnish a theoretical scaffold for the meticulous construction and assessment of these landscapes. This study has illustrated the waterfront botanical landscapes of 32 traditional hamlets within the Xiangxi region, integrating prior research on the waterfront botanical regression model based on the Scenic Beauty Estimation (SBE) method. It established and investigated fifteen landscape factors pivotal to the aesthetic valorization of these village waterfronts. The study concocted a beauty quality evaluation model, unearthing a significant correlation ( p < 0.01) across evaluations by students majoring in landscape architecture, expert landscape architects, and laypersons, thus underscoring a consensus in aesthetic judgments. A noteworthy correlation between the beauty value (Z-value) and the entropy weight value was elucidated through the equation EWM = −0.106 + 0.425ZSBE, showcasing the landscape quality’s variance among the studied villages. The formulated evaluation model accentuates the significance of seasonal variation, scale affinity, and a rich hierarchical structure.

Suggested Citation

  • Lie Wang & Chuanhao Sun & Mo Wang, 2024. "Optimization Strategies for Waterfront Plant Landscapes in Traditional Villages: A Scenic Beauty Estimation–Entropy Weighting Method Analysis," Sustainability, MDPI, vol. 16(16), pages 1-16, August.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:16:p:7140-:d:1459990
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/16/7140/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/16/7140/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dhami, Ishwar & Deng, Jinyang & Burns, Robert C. & Pierskalla, Chad, 2014. "Identifying and mapping forest-based ecotourism areas in West Virginia – Incorporating visitors' preferences," Tourism Management, Elsevier, vol. 42(C), pages 165-176.
    2. Iván Franch-Pardo & Luis Cancer-Pomar & Brian M. Napoletano, 2017. "Visibility analysis and landscape evaluation in Martin river cultural park (Aragon, Spain) integrating biophysical and visual units," Journal of Maps, Taylor & Francis Journals, vol. 13(2), pages 415-424, November.
    3. Valentina C. Materia & Stefano Pascucci & Liesbeth Dries, 2017. "Are In-House and Outsourcing Innovation Strategies Correlated? Evidence from the European Agri-Food Sector," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(1), pages 249-268, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yixuan Fu & Jun Zhao, 2024. "Applying the Theory of Planned Behavior to Understand Ecotourism Behavior: The Role of Human–Land Coordination and Self-Mastery," Sustainability, MDPI, vol. 16(21), pages 1-21, October.

    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. Maurizio Prosperi & Roberta Sisto & Antonio Lopolito & Valentina C. Materia, 2020. "Local Entrepreneurs’ Involvement in Strategy Building to Facilitate Agro-Food Waste Valorisation within an Agro-Food Technological District: A SWOT-SOR Approach," Sustainability, MDPI, vol. 12(11), pages 1-15, June.
    2. Can Bülent Karakuş, 2024. "Assessment of ecotourism potentiality based on GIS-based fuzzy logarithm methodology of additive weights (F-LMAW) method for sustainable natural resource management," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(10), pages 27001-27055, October.
    3. Dina Statuto & Giuseppe Cillis & Pietro Picuno, 2017. "Using Historical Maps within a GIS to Analyze Two Centuries of Rural Landscape Changes in Southern Italy," Land, MDPI, vol. 6(3), pages 1-15, September.
    4. Anna Nowak & Armand Kasztelan, 2022. "Economic competitiveness vs. green competitiveness of agriculture in the European Union countries," Oeconomia Copernicana, Institute of Economic Research, vol. 13(2), pages 379-405, June.
    5. Wu, Shou-Tsung & Chen, Yeong-Shyang, 2016. "Examining eco-environmental changes at major recreational sites in Kenting National Park in Taiwan by integrating SPOT satellite images and NDVI," Tourism Management, Elsevier, vol. 57(C), pages 23-36.
    6. Cainelli, Giulio & Ganau, Roberto & Giunta, Anna, 2022. "Business groups, institutions, and firm performance," LSE Research Online Documents on Economics 114553, London School of Economics and Political Science, LSE Library.
    7. Wenli Dong & Chenlu Zhang & Wenying Han & Jiwu Wang, 2024. "Localized Canal Development Model Based on Titled Landscapes on the Grand Canal, Hangzhou Section, China," Land, MDPI, vol. 13(8), pages 1-36, July.
    8. Qin Huang & Chen Zhou & Manchun Li & Yu Ma & Song Hua, 2024. "An Approach for Mapping Ecotourism Suitability Using Machine Learning: A Case Study of Zhangjiajie, China," Land, MDPI, vol. 13(8), pages 1-22, August.
    9. Iván Franch-Pardo & Brian M. Napoletano & Gerardo Bocco & Sara Barrasa & Luis Cancer-Pomar, 2017. "The Role of Geographical Landscape Studies for Sustainable Territorial Planning," Sustainability, MDPI, vol. 9(11), pages 1-23, November.
    10. Manijeh Talebi & Baris Majnounian & Majid Makhdoum & Ehsan Abdi & Mahmoud Omid, 2021. "Predicting areas with ecotourism capability using artificial neural networks and linear discriminant analysis (case study: Arasbaran Protected Area, Iran)," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(6), pages 8272-8287, June.
    11. Yekani Motlagh, Elgar & Hajjarian, Marzieh & Hossein Zadeh, Omid & Alijanpour, Ahmad, 2020. "The difference of expert opinion on the forest-based ecotourism development in developed countries and Iran," Land Use Policy, Elsevier, vol. 94(C).
    12. Abel González-Ramiro & Gil Gonçalves & Alonso Sánchez-Ríos & Jin Su Jeong, 2016. "Using a VGI and GIS-Based Multicriteria Approach for Assessing the Potential of Rural Tourism in Extremadura (Spain)," Sustainability, MDPI, vol. 8(11), pages 1-15, November.
    13. David Harvey & Carmen Hubbard & Matthew Gorton & Barbara Tocco, 2017. "How Competitive is the EU's Agri-Food Sector? An Introduction to a Special Feature on EU Agri-Food Competitiveness," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(1), pages 199-205, February.
    14. Maciej Zastempowski & Szymon Cyfert, 2022. "The role of strategic innovation activities in creating Spanish agriculture companies' innovativeness," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 68(6), pages 230-238.
    15. Miranda, Bruno Varella & Monteiro, Guilherme Fowler A. & Rodrigues, Vinicius Picanço, 2021. "Circular agri-food systems: A governance perspective for the analysis of sustainable agri-food value chains," Technological Forecasting and Social Change, Elsevier, vol. 170(C).

    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:jsusta:v:16:y:2024:i:16:p:7140-:d:1459990. 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.