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Spatial Distribution Characteristics and Influencing Factors of Traditional Villages in Guangxi Zhuang Autonomous Region

Author

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  • Meiyan Li

    (School of Architecture and Urban Planning, Beijing University of Civil Engineering and Architecture, Beijing 100044, China)

  • Wen Ouyang

    (School of Architecture and Urban Planning, Beijing University of Civil Engineering and Architecture, Beijing 100044, China)

  • Dayu Zhang

    (School of Architecture and Urban Planning, Beijing University of Civil Engineering and Architecture, Beijing 100044, China)

Abstract

This study comprises 669 national and local traditional villages in the Guangxi Zhuang Autonomous Region. Using the ArcGIS software platform, the nearest neighbor index, coefficient of variation, and kernel density tools are used to describe the distribution density characteristics of traditional villages; the imbalance index method and the Gini coefficient are used to describe the equilibrium index of the distribution of traditional villages in municipalities and geographical subdivisions. This study demonstrates that Guangxi’s traditional villages are spatially distributed with “one main and two vices”. Traditional villages are unevenly concentrated in Guilin City and the northern parts of Hezhou and Liuzhou. They are geographically concentrated in the Yuecheng Ling mountain range and Guibei’s surrounding flat areas, Guizhong’s Shengtang Mountain range, and the Guidong’s alluvial river plains. Traditional villages are more prevalent in mountainous areas, and their construction and development take the water resources of rivers and flood protection into account. The research results of this paper have an important guiding significance for considering the internal rules of the spatial distribution of traditional villages in Guangxi, so as to provide some data support for the protection planning of traditional villages in Guangxi.

Suggested Citation

  • Meiyan Li & Wen Ouyang & Dayu Zhang, 2022. "Spatial Distribution Characteristics and Influencing Factors of Traditional Villages in Guangxi Zhuang Autonomous Region," Sustainability, MDPI, vol. 15(1), pages 1-11, December.
    • Handle: RePEc:gam:jsusta:v:15:y:2022:i:1:p:632-:d:1019766
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    References listed on IDEAS

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    1. Boris Prevolšek & Aleksandar Maksimović & Adis Puška & Karmen Pažek & Maja Žibert & Črtomir Rozman, 2020. "Sustainable Development of Ethno-Villages in Bosnia and Herzegovina—A Multi Criteria Assessment," Sustainability, MDPI, vol. 12(4), pages 1-18, February.
    2. Mingshui Lin & Jingsong Jian & Hu Yu & Yanfang Zeng & Menglung Lin, 2021. "Research on the Spatial Pattern and Influence Mechanism of Industrial Transformation and Development of Traditional Villages," Sustainability, MDPI, vol. 13(16), pages 1-21, August.
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    Cited by:

    1. Jun Zhang & Runni Zhang & Qilun Li & Xue Zhang & Xiong He, 2023. "Spatial Sifferentiation and Differentiated Development Paths of Traditional Villages in Yunnan Province," Land, MDPI, vol. 12(9), pages 1-18, August.
    2. Anqiang Jia & Xiaoxu Liang & Xuan Wen & Xin Yun & Lijian Ren & Yingxia Yun, 2023. "GIS-Based Analysis of the Spatial Distribution and Influencing Factors of Traditional Villages in Hebei Province, China," Sustainability, MDPI, vol. 15(11), pages 1-24, June.
    3. Xinyu Xie & Ying Zhang & Xiaoping Qiu, 2023. "Spatial Distribution Characteristics and Influencing Factors of Rural Governance Demonstration Villages in China," IJERPH, MDPI, vol. 20(5), pages 1-20, March.
    4. Xiaodong Zhang & Haoying Han & Yongjun Tang & Zhilu Chen, 2023. "Spatial Distribution Characteristics and Driving Factors of Tourism Resources in China," Land, MDPI, vol. 12(5), pages 1-16, May.
    5. Chuanchuan Yuan & Mu Jiang, 2023. "Migration and Land Exploitation from Yuan to Qing Dynasties: Insights from 252 Traditional Villages in Hunan, China," Sustainability, MDPI, vol. 15(2), pages 1-17, January.
    6. Guanglei Yang & Lixin Wu & Liang Xie & Zhezheng Liu & Zhe Li, 2023. "Study on the Distribution Characteristics and Influencing Factors of Traditional Villages in the Yunnan, Guangxi, and Guizhou Rocky Desertification Area," Sustainability, MDPI, vol. 15(20), pages 1-23, October.
    7. Xiaogang Feng & Moqing Hu & Sekhar Somenahalli & Xinyuan Bian & Meng Li & Zaihui Zhou & Fengxia Li & Yuan Wang, 2023. "A Study of Spatio-Temporal Differentiation Characteristics and Driving Factors of Shaanxi Province’s Traditional Heritage Villages," Sustainability, MDPI, vol. 15(10), pages 1-18, May.
    8. Shiying Li & Yuhong Song & Hua Xu & Yijiao Li & Shaokun Zhou, 2023. "Spatial Distribution Characteristics and Driving Factors for Traditional Villages in Areas of China Based on GWR Modeling and Geodetector: A Case Study of the Awa Mountain Area," Sustainability, MDPI, vol. 15(4), pages 1-19, February.

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