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Using Analytic Hierarchy Process to Examine the Success Factors of Autonomous Landscape Development in Rural Communities

Author

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  • Ta-Ching Liang

    (Department of Leisure and Recreation, National Formosa University, Yunlin 632, Taiwan)

  • Szu-Hsien Peng

    (Department of Spatial Design, Chienkuo Technology University, Changhua 500, Taiwan)

Abstract

The absence of comprehensive plans has resulted in disordered rural development and construction and a mix of new and old buildings in rural communities. Disorganized and blighted spaces have become rural landscape obstacles. After the Rural Rejuvenation Act was passed, rural construction has been guided with plans, and the government expects to enhance surroundings and expand policies through autonomous community development to create a good rural landscape. Through a literature review, this study aims to establish key success factors in autonomous landscape development of rural communities, covering 8 criteria and 28 sub-criteria. A questionnaire survey was conducted among national rural communities, experts, and scholars. The analytic hierarchy process reveals that manpower input has the highest importance, thereby indicating that the improvement of autonomous community development would double with the guidance of community cadres and the participation of artists and experts.

Suggested Citation

  • Ta-Ching Liang & Szu-Hsien Peng, 2017. "Using Analytic Hierarchy Process to Examine the Success Factors of Autonomous Landscape Development in Rural Communities," Sustainability, MDPI, vol. 9(5), pages 1-17, May.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:5:p:729-:d:97389
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    References listed on IDEAS

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    1. Olexandr Nekhay & Manuel Arriaza, 2016. "How Attractive Is Upland Olive Groves Landscape? Application of the Analytic Hierarchy Process and GIS in Southern Spain," Sustainability, MDPI, vol. 8(11), pages 1-16, November.
    2. Howley, Peter, 2011. "Landscape aesthetics: Assessing the general publics' preferences towards rural landscapes," Ecological Economics, Elsevier, vol. 72(C), pages 161-169.
    3. Baoan Song & Qiyu Sun & Ying Li & Chuanqi Que, 2016. "Evaluating the Sustainability of Community-Based Long-Term Care Programmes: A Hybrid Multi-Criteria Decision Making Approach," Sustainability, MDPI, vol. 8(7), pages 1-19, July.
    4. Saaty, Thomas L., 1990. "How to make a decision: The analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 9-26, September.
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    Cited by:

    1. Thanh Ngo & Hai‐Dang Nguyen & Huong Ho & Vo‐Kien Nguyen & Thuy T. T. Dao & Hai T. H. Nguyen, 2021. "Assessing the important factors of sustainable agriculture development: An Indicateurs de Durabilité des Exploitations Agricoles‐Analytic Hierarchy Process study in the northern region of Vietnam," Sustainable Development, John Wiley & Sons, Ltd., vol. 29(2), pages 327-338, March.
    2. Xiaodong Xu & Jingping Liu & Ning Xu & Wei Wang & Hui Yang, 2018. "Quantitative Study on the Evolution Trend and Driving Factors of Typical Rural Spatial Morphology in Southern Jiangsu Province, China," Sustainability, MDPI, vol. 10(7), pages 1-20, July.
    3. Yanwei Zhang & Hualin Xie, 2019. "Welfare Effect Evaluation of Land-Lost Farmers’ Households under Different Livelihood Asset Allocation," Land, MDPI, vol. 8(11), pages 1-41, November.
    4. Viet Anh Ta & Chieh-Yu Lin, 2023. "Exploring the Determinants of Digital Transformation Adoption for SMEs in an Emerging Economy," Sustainability, MDPI, vol. 15(9), pages 1-13, April.

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