IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i15p9794-d883314.html
   My bibliography  Save this article

Combination Weighting Integrated with TOPSIS for Landscape Performance Evaluation: A Case Study of Microlandscape from Rural Areas in Southeast China

Author

Listed:
  • Lan Shen

    (College of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou 350002, China
    School of Architecture, Huaqiao University, No. 668 Jimei Rd., Jimei Dist., Xiamen 361021, China)

  • Yikang Zhang

    (School of Architecture, Huaqiao University, No. 668 Jimei Rd., Jimei Dist., Xiamen 361021, China)

  • Minfeng Yao

    (School of Architecture, Huaqiao University, No. 668 Jimei Rd., Jimei Dist., Xiamen 361021, China)

  • Siren Lan

    (College of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou 350002, China)

Abstract

This study aims to evaluate the landscape performance of rural microlandscapes in highly urbanized areas and propose optimization strategies based on the evaluation results. As a sustainable promotion mode, microlandscapes can effectively improve the damage caused by the development of rugged urbanization to the living environment. To improve the rural living environment, some achievements have been made in the construction of microlandscapes in the highly urbanized rural areas of southeast coastal areas, represented by Fujian Province, but there are still problems such as low utilization rate and difficult maintenance. As a qualitative and quantitative weighting method, the combination weighting method is widely used in the construction of evaluation models of safety engineering, environmental management, and other disciplines. This study constructed a landscape performance evaluation system based on the American landscape performance series and combined it with performance evaluation methods in other related fields to establish a landscape performance evaluation system suitable for rural microlandscapes in highly urbanized areas. Taking social benefits as an example, five main factors affecting social benefits are highlighted: comfort and health; safety and accessibility; sociability and service; aesthetics and education; and culture and inheritance. Each factor contains different sub-criteria to identify specific problems. Field observation, questionnaire survey, and interview records of 25 microlandscape projects in Yinglin Town, Jinjiang City were conducted. The combination weight calculation based on the AHP-entropy weight method and the comprehensive benefit ranking calculation based on the TOPSIS method is carried out. It was found that stress relief and the number of visitors were the main factors affecting the social benefits of microlandscape performance, and the top-ranked projects also had such characteristics. The seasonal phase and color richness had the least effect on social benefits. Therefore, the microlandscape should improve the healing effect of the project on users as much as possible in the design stage, so that users can better relax through the microlandscape. In addition, strategies such as space selection and path optimization should be adopted to improve the utilization rate of the microlandscape as much as possible, and the fairness of the use of vulnerable groups should be fully considered.

Suggested Citation

  • Lan Shen & Yikang Zhang & Minfeng Yao & Siren Lan, 2022. "Combination Weighting Integrated with TOPSIS for Landscape Performance Evaluation: A Case Study of Microlandscape from Rural Areas in Southeast China," Sustainability, MDPI, vol. 14(15), pages 1-26, August.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:15:p:9794-:d:883314
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/15/9794/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/15/9794/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tiezheng Zhao & Yang Zhao & Ming-Han Li, 2019. "Landscape Performance for Coordinated Development of Rural Communities & Small-Towns Based on “Ecological Priority and All-Area Integrated Development”: Six Case Studies in East China’s Zhejiang Provi," Sustainability, MDPI, vol. 11(15), pages 1-23, July.
    2. Stewart, TJ, 1992. "A critical survey on the status of multiple criteria decision making theory and practice," Omega, Elsevier, vol. 20(5-6), pages 569-586.
    3. Yu-shan Hu & Chun-lei Zhu, 2021. "Credit Evaluation Model of Road Transportation Enterprises Based on the Combination Weighting Method," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-10, January.
    4. Huang, Wencheng & Shuai, Bin & Sun, Yan & Wang, Yang & Antwi, Eric, 2018. "Using entropy-TOPSIS method to evaluate urban rail transit system operation performance: The China case," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 292-303.
    5. Jingjing Pei & Wen Liu & Lu Han, 2019. "Research on Evaluation Index System of Chinese City Safety Resilience Based on Delphi Method and Cloud Model," IJERPH, MDPI, vol. 16(20), pages 1-16, October.
    6. Zhang, Jinhua & Yan, Jie & Infield, David & Liu, Yongqian & Lien, Fue-sang, 2019. "Short-term forecasting and uncertainty analysis of wind turbine power based on long short-term memory network and Gaussian mixture model," Applied Energy, Elsevier, vol. 241(C), pages 229-244.
    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. Shuying Zhan & Xiaofan Zhang, 2024. "Coupled Climate–Environment–Society–Ecosystem Resilience Coordination Analytical Study—A Case Study of Zhejiang Province," Sustainability, MDPI, vol. 16(13), pages 1-34, July.
    2. Shiyu Meng & Chenhui Liu & Yuxi Zeng & Rongfang Xu & Chaoyu Zhang & Yuke Chen & Kechen Wang & Yunlu Zhang, 2024. "Quality Evaluation of Public Spaces in Traditional Villages: A Study Using Deep Learning and Panoramic Images," Land, MDPI, vol. 13(10), pages 1-24, September.
    3. Ruoshi Zhang, 2023. "Evaluation of Emotional Attachment Characteristics of Small-Scale Urban Vitality Space Based on Technique for Order Preference by Similarity to Ideal Solution, Integrating Entropy Weight Method and Gr," Land, MDPI, vol. 12(3), pages 1-26, March.
    4. Zijie Yang & Dong Huang & Yanzhen Wang, 2023. "Measuring the Bilateral Energy Security Cooperation Sustainability between China and Its Neighboring Countries Based on the National Energy Security Level," Sustainability, MDPI, vol. 15(2), pages 1-25, January.

    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. Liu, Benxi & Liu, Tengyuan & Liao, Shengli & Lu, Jia & Cheng, Chuntian, 2023. "Short-term coordinated hybrid hydro-wind-solar optimal scheduling model considering multistage section restrictions," Renewable Energy, Elsevier, vol. 217(C).
    2. Tofallis, C., 1996. "Improving discernment in DEA using profiling," Omega, Elsevier, vol. 24(3), pages 361-364, June.
    3. J. Granat & M. Makowski, 1998. "ISAAP - Interactive Specification and Analysis of Aspiration-Based Preferences," Working Papers ir98052, International Institute for Applied Systems Analysis.
    4. Krejci, Igor & Voriskova, Andrea, 2010. "Analysis of the Method for the Selection of Regions with Concentrated State Aid," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 2(3), pages 1-8, September.
    5. Dou, Weijing & Wang, Kai & Shan, Shuo & Li, Chenxi & Wang, Yiye & Zhang, Kanjian & Wei, Haikun & Sreeram, Victor, 2024. "Day-ahead Numerical Weather Prediction solar irradiance correction using a clustering method based on weather conditions," Applied Energy, Elsevier, vol. 365(C).
    6. Yang, Mao & Wang, Da & Xu, Chuanyu & Dai, Bozhi & Ma, Miaomiao & Su, Xin, 2023. "Power transfer characteristics in fluctuation partition algorithm for wind speed and its application to wind power forecasting," Renewable Energy, Elsevier, vol. 211(C), pages 582-594.
    7. McKenna, R. & Bertsch, V. & Mainzer, K. & Fichtner, W., 2018. "Combining local preferences with multi-criteria decision analysis and linear optimization to develop feasible energy concepts in small communities," European Journal of Operational Research, Elsevier, vol. 268(3), pages 1092-1110.
    8. Xiaodong Yuan & Weiling Song, 2022. "Evaluating technology innovation capabilities of companies based on entropy- TOPSIS: the case of solar cell companies," Information Technology and Management, Springer, vol. 23(2), pages 65-76, June.
    9. Xiang-Fei Ma & Ru Zhang & Yi-Fan Ruan, 2023. "How to Evaluate the Level of Green Development Based on Entropy Weight TOPSIS: Evidence from China," IJERPH, MDPI, vol. 20(3), pages 1-15, January.
    10. Hu, Dingding & Zhou, Kaile & Li, Fangyi & Ma, Dawei, 2022. "Electric vehicle user classification and value discovery based on charging big data," Energy, Elsevier, vol. 249(C).
    11. Wang, Yun & Zou, Runmin & Liu, Fang & Zhang, Lingjun & Liu, Qianyi, 2021. "A review of wind speed and wind power forecasting with deep neural networks," Applied Energy, Elsevier, vol. 304(C).
    12. Sebastian Schär & Jutta Geldermann, 2021. "Adopting Multiactor Multicriteria Analysis for the Evaluation of Energy Scenarios," Sustainability, MDPI, vol. 13(5), pages 1-19, March.
    13. Chang, Yu-Hern & Yeh, Chung-Hsing, 2002. "A survey analysis of service quality for domestic airlines," European Journal of Operational Research, Elsevier, vol. 139(1), pages 166-177, May.
    14. Hobbs, Benjamin F & Horn, Graham TF, 1997. "Building public confidence in energy planning: a multimethod MCDM approach to demand-side planning at BC gas," Energy Policy, Elsevier, vol. 25(3), pages 357-375, February.
    15. Becker-Peth, Michael & Thonemann, Ulrich W., 2016. "Reference points in revenue sharing contracts—How to design optimal supply chain contracts," European Journal of Operational Research, Elsevier, vol. 249(3), pages 1033-1049.
    16. Jia, Mengshuo & Huang, Shaowei & Wang, Zhiwen & Shen, Chen, 2021. "Privacy-preserving distributed parameter estimation for probability distribution of wind power forecast error," Renewable Energy, Elsevier, vol. 163(C), pages 1318-1332.
    17. Govindan, Kannan & Jepsen, Martin Brandt, 2016. "ELECTRE: A comprehensive literature review on methodologies and applications," European Journal of Operational Research, Elsevier, vol. 250(1), pages 1-29.
    18. Mohammad Rahman & Lena Jaumann & Nils Lerche & Fabian Renatus & Ann Buchs & Rudolf Gade & Jutta Geldermann & Martin Sauter, 2015. "Selection of the Best Inland Waterway Structure: A Multicriteria Decision Analysis Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(8), pages 2733-2749, June.
    19. Hayashi, Kiyotada, 1998. "Multicriteria aid for agricultural decisions using preference relations: methodology and application," Agricultural Systems, Elsevier, vol. 58(4), pages 483-503, December.
    20. Denys Yemshanov & Frank H. Koch & Yakov Ben‐Haim & William D. Smith, 2010. "Robustness of Risk Maps and Survey Networks to Knowledge Gaps About a New Invasive Pest," Risk Analysis, John Wiley & Sons, vol. 30(2), pages 261-276, February.

    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:14:y:2022:i:15:p:9794-:d:883314. 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.