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Spatial Differentiation and Driving Factors of Traditional Villages in Jiangsu Province

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  • Qinghai Zhang

    (College of Horticulture, Nanjing Agricultural University, Nanjing 210095, China
    Key Laboratory of Landscaping, Ministry of Agriculture, Nanjing 210095, China)

  • Jiabei Wang

    (College of Horticulture, Nanjing Agricultural University, Nanjing 210095, China)

Abstract

Jiangsu Province, situated in the Yangtze River basin, has rich traditional village resources and a prominent position in economic development and cultural integration. This study focuses on the analysis of the variation distribution pattern of traditional villages in Jiangsu Province using six batches of traditional village directories with data until 2023 as research samples. By employing ANN, Voronoi graph analysis, and Moran’s I index, the researchers determined the spatial distribution characteristics of rural settlements. Additionally, kernel density and spatial autocorrelation techniques were used to further examine the spatial distribution patterns, and geographic detector detection was introduced. The results showed the following: (1) The spatial distribution of traditional village settlements in Jiangsu Province showed a significant clustering distribution that is mainly concentrated in central Jiangsu Province. (2) The driving factors reflected a strong symbiotic relationship of “air–water–soil–man”. The spatial distribution of traditional villages was mainly driven by the annual mean temperature and soil type. The interaction between factors was dominated by the enhancement relationship between the two factors. (3) According to the detection results of risk areas in the region, the average annual temperature was 17~17.6 °C, the annual precipitation was 133.0~145.7 billion m 3 , the average annual wind speed was 0.549~0.565 m/s, the GDP was 85,100~204,000 CNY/km −2 , and the population density was 2.32~3.91 thousand/km −2 . Arable land was the main type of area and was conducive to the gathering of traditional villages. The preservation of rural settlements should take into account the complex and diverse factors that affect their distribution. Additionally, it is crucial to tailor protection strategies to specific local conditions and conduct flexible research.

Suggested Citation

  • Qinghai Zhang & Jiabei Wang, 2023. "Spatial Differentiation and Driving Factors of Traditional Villages in Jiangsu Province," Sustainability, MDPI, vol. 15(14), pages 1-15, July.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:14:p:11448-:d:1201132
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    References listed on IDEAS

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    1. Chao Wu & Miaomiao Chen & Lei Zhou & Xiaojin Liang & Wei Wang, 2020. "Identifying the Spatiotemporal Patterns of Traditional Villages in China: A Multiscale Perspective," Land, MDPI, vol. 9(11), pages 1-21, November.
    2. Qiao Wang & Wenwen Liu & Liang Mao, 2023. "Spatial Evolution of Traditional Village Dwellings in Heilongjiang Province," Sustainability, MDPI, vol. 15(6), pages 1-17, March.
    3. Haoran Su & Yaowu Wang & Zhen Zhang & Wen Dong, 2022. "Characteristics and Influencing Factors of Traditional Village Distribution in China," Land, MDPI, vol. 11(10), pages 1-26, September.
    4. Ruoxi Ma & Shangguang Yang, 2023. "The Effect of Social Network on Controlled-Release Fertilizer Use: Evidence from Rice Large-Scale Farmers in Jiangsu Province, China," Sustainability, MDPI, vol. 15(4), pages 1-16, February.
    5. Yujie Jiang & Ni Li & Ziyue Wang, 2023. "Parametric Reconstruction of Traditional Village Morphology Based on the Space Gene Perspective—The Case Study of Xiaoxi Village in Western Hunan, China," Sustainability, MDPI, vol. 15(3), pages 1-33, January.
    6. Daimou Wei & Zhexiao Wang & Bin Zhang, 2021. "Traditional Village Landscape Integration Based on Social Network Analysis: A Case Study of the Yuan River Basin in South-Western China," Sustainability, MDPI, vol. 13(23), pages 1-13, December.
    7. Liu Jin & Zongqi Wang & Xiaohong Chen, 2022. "Spatial Distribution Characteristics and Influencing Factors of Traditional Villages on the Tibetan Plateau in China," IJERPH, MDPI, vol. 19(20), pages 1-19, October.
    8. Xiang Gao & Zao Li & Xia Sun, 2023. "Relevance between Tourist Behavior and the Spatial Environment in Huizhou Traditional Villages—A Case Study of Pingshan Village, Yi County, China," Sustainability, MDPI, vol. 15(6), pages 1-24, March.
    9. Jiaojiao Bian & Wanxu Chen & Jie Zeng, 2022. "Spatial Distribution Characteristics and Influencing Factors of Traditional Villages in China," IJERPH, MDPI, vol. 19(8), pages 1-18, April.
    10. 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.
    11. 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. Yinhe Chen & Rui Li, 2024. "Spatial Distribution and Type Division of Traditional Villages in Zhejiang Province," Sustainability, MDPI, vol. 16(12), pages 1-25, June.

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