Characteristics and Influencing Factors of Traditional Village Distribution in China

Haoran Su, Yaowu Wang (), Zhen Zhang and Wen Dong
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Haoran Su: School of Architecture, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China
Yaowu Wang: School of Architecture, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China
Zhen Zhang: School of Geomatics, Anhui University of Science and Technology, Huainan 232001, China
Wen Dong: School of Architecture, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China

Land, 2022, vol. 11, issue 10, 1-26

Abstract: Understanding the characteristics of the traditional village distribution contributes to the formulation of relevant protection and development strategies. We adopted a series of spatial analysis methods to investigate the characteristics of the traditional village distribution in China by using the watershed as the research unit. Moreover, we conducted quantitative and qualitative analyses of the relevant influencing factors affecting the distribution pattern using Geodetector and mathematical statistics. The findings indicate that traditional villages are distributed unevenly across watershed units. High–High clusters tend to occur at the boundaries of first-level watersheds. Traditional villages have a clear agglomeration trend in space, with a concentrated and contiguous distribution pattern based on the “core density area–ring-core expansion group–belt area”. The key factors affecting the traditional village distribution are annual precipitation, annual average temperature, and river density. The traditional village number has a clear inverted U-shaped relationship with the annual average temperature, river density, and road density. The study reveals the complex and various characteristics of the traditional village distribution and its influence mechanism and offers scientific advice for traditional villages’ future protection and development.

Keywords: traditional villages; watershed; spatial distribution; influencing factors; Geodetector (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (17)

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