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

Author

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  • 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
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. 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.
    4. 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.

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