Temporal and spatial patterns and determinants of traditional villages in Henan Province

Traditional villages are important carriers of China’s cultural heritage and reflect long-term interactions among history, environment, and human settlement. This study examines 1,035 officially recognized traditional villages in Henan Province to identify their spatiotemporal distribution patterns and associated factors. Using ArcGIS-based spatial analysis, GeoDetector, the spatial lag model, and historical literature review, we find that traditional villages show significant spatial clustering and clear regional inequality. High-density clusters occur in northern Henan (Anyang–Hebi), central Henan (Pingdingshan), and southern Henan (Xinyang), whereas eastern Henan remains sparsely distributed, partly due to the long-term impacts of Yellow River flooding. The evolution of village distribution can be divided into four major historical stages, and the dominant spatial orientation shifted from a southwest–northeast trend before the Ming period to a southwest–northeast trend thereafter. Descriptively, village concentration is associated with moderate elevation, proximity to water, lower GDP levels, and intermediate distance from county-level central cities. However, after spatial autocorrelation was controlled for, these variables were not statistically significant as independent predictors in the spatial lag model, suggesting that village distribution is shaped more by combined effects and spatial spillover than by single factors alone. These findings provide evidence for cluster-based heritage protection in Henan and offer broader lessons for historically layered inland regions facing rural transformation and urbanization pressures.

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Publication Details

Journal
PLoS ONE
Published
2026-05-28
DOI
https://doi.org/10.1371/journal.pone.0350290
Primary Topic
Land Use and Ecosystem Services
Type
article
Field-Weighted Citation Impact
0.00

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article

Temporal and spatial patterns and determinants of traditional villages in Henan Province

Jiabin Wu, Yu Liu, Man Zhang
PLoS ONE
Land Use and Ecosystem Services
article

Temporal and spatial patterns and determinants of traditional villages in Henan Province

Jiabin Wu, Yu Liu, Man Zhang
article en

Abstract

Traditional villages are important carriers of China’s cultural heritage and reflect long-term interactions among history, environment, and human settlement. This study examines 1,035 officially recognized traditional villages in Henan Province to identify their spatiotemporal distribution patterns and associated factors. Using ArcGIS-based spatial analysis, GeoDetector, the spatial lag model, and historical literature review, we find that traditional villages show significant spatial clustering and clear regional inequality. High-density clusters occur in northern Henan (Anyang–Hebi), central Henan (Pingdingshan), and southern Henan (Xinyang), whereas eastern Henan remains sparsely distributed, partly due to the long-term impacts of Yellow River flooding. The evolution of village distribution can be divided into four major historical stages, and the dominant spatial orientation shifted from a southwest–northeast trend before the Ming period to a southwest–northeast trend thereafter. Descriptively, village concentration is associated with moderate elevation, proximity to water, lower GDP levels, and intermediate distance from county-level central cities. However, after spatial autocorrelation was controlled for, these variables were not statistically significant as independent predictors in the spatial lag model, suggesting that village distribution is shaped more by combined effects and spatial spillover than by single factors alone. These findings provide evidence for cluster-based heritage protection in Henan and offer broader lessons for historically layered inland regions facing rural transformation and urbanization pressures.

PLoS ONEVol. 21(5)
Foundation of Henan Educational Committee, National Social Science Fund of China, Humanities and Social Science Fund of Ministry of Education of China
Sustainable cities and communities
Openalex Percentile: Top 6%
Land Use and Ecosystem Services
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