Spatial distribution characteristics and influencing factors of defensive traditional villages in the Taihang Mountain Area

This study, based on 399 Defensive Traditional Villages (DTV), integrates tools such as Optimal Parameter Geographical Detector (OPGD) and Multi-Scale Geographically Weighted Regression Model (MGWR), alongside natural, social, and cultural factors, to construct a research framework. The study explores the spatial distribution characteristics and influencing mechanisms of Defensive Traditional Villages in the Taihang Mountains area (DTVTMA). The results show that (1) DTVTMA shows a clustered “multi-core, belt-shaped” distribution with a “following the terrain of the mountains, settling near water sources, and building in strategic locations” layout. (2) In terms of single-factor influence, natural factors have the greatest impact, followed by cultural and social factors. (3) The spatial distribution of DTVTMA is the result of interacting natural, social, and cultural factors, reflecting the traditional society’s systematic response to the environment. In the future, sustainable development of these villages can be achieved through differentiated protection, optimized facilities, and dynamic strategies.

Authors

Institutions

Publication Details

Journal
npj Heritage Science
Published
2025-11-06
DOI
https://doi.org/10.1038/s40494-025-02082-2
Citations
5
Primary Topic
Land Use and Ecosystem Services
Type
article
Field-Weighted Citation Impact
5.53
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatial distribution characteristics and influencing factors of defensive traditional villages in the Taihang Mountain Area

Donghao Li, Zurui Lin
5 citations
npj Heritage Science
Land Use and Ecosystem Services
5.53
article

Spatial distribution characteristics and influencing factors of defensive traditional villages in the Taihang Mountain Area

Donghao Li, Zurui Lin
article en
5 citations

Abstract

This study, based on 399 Defensive Traditional Villages (DTV), integrates tools such as Optimal Parameter Geographical Detector (OPGD) and Multi-Scale Geographically Weighted Regression Model (MGWR), alongside natural, social, and cultural factors, to construct a research framework. The study explores the spatial distribution characteristics and influencing mechanisms of Defensive Traditional Villages in the Taihang Mountains area (DTVTMA). The results show that (1) DTVTMA shows a clustered “multi-core, belt-shaped” distribution with a “following the terrain of the mountains, settling near water sources, and building in strategic locations” layout. (2) In terms of single-factor influence, natural factors have the greatest impact, followed by cultural and social factors. (3) The spatial distribution of DTVTMA is the result of interacting natural, social, and cultural factors, reflecting the traditional society’s systematic response to the environment. In the future, sustainable development of these villages can be achieved through differentiated protection, optimized facilities, and dynamic strategies.

npj Heritage ScienceVol. 13(1)
China University of Mining and Technology (CN)
Openalex Percentile: Top 4%
Land Use and Ecosystem Services
5.53
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.