Analysis of Influencing Factors on Spatial Distribution Characteristics of Traditional Villages in the Liaoxi Corridor

Han Cao and Eunyoung Kim ()
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Han Cao: School of Knowledge Science, Japan Advanced Institute of Science and Technology, Nomi 9231292, Japan
Eunyoung Kim: School of Knowledge Science, Japan Advanced Institute of Science and Technology, Nomi 9231292, Japan

Land, 2025, vol. 14, issue 8, 1-35

Abstract: As a cultural corridor connecting the Central Plains and Northeast China, the Liaoxi Corridor has a special position in the transmission of traditional Chinese culture. Traditional villages in the region have preserved rich intangible cultural heritage and traditional architectural features, which highlight the historical heritage of multicultural intermingling. This study fills the gap in the spatial distribution of traditional villages in the Liaoxi Corridor and reveals their spatial distribution pattern, which is of great theoretical significance. Using Geographic Information System (GIS) spatial analysis and quantitative geography, this study analyzes the spatial pattern of traditional villages and the influencing factors. The results show that traditional villages in the Liaoxi Corridor are clustered, forming high-density settlement areas in Chaoyang County and Beizhen City. Most villages are located in hilly and mountainous areas and river valleys and are affected by the natural geographic environment (topography and water sources) and historical and human factors (immigration and settlement, border defense, ethnic integration, etc.). In conclusion, this study provides a scientific basis and practical reference for rural revitalization, cultural heritage protection, and regional coordinated development, aiming at revealing the geographical and cultural mechanisms behind the spatial distribution of traditional villages.

Keywords: the Liaoxi Corridor; the ancient way; traditional villages; spatial distribution characteristics; influencing factor (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2025
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