The influence of cultural landscape gene perception on residents’ place attachment in rural marketplaces: an interpretable machine learning analysis based on XGBoost–SHAP
Summary. Rural marketplaces in China function as living heritage spaces where cultural identity shapes residents' attachment to place. Using machine learning analysis of 823 survey responses from a marketplace in Henan, the study identifies that local food, social interaction, and traditional craftsmanship most strongly influence place attachment. Cultural customs dominate residents' perceptions, with material and spiritual elements contributing equally. The relationship between cultural perception and place attachment follows nonlinear patterns with threshold effects, suggesting sustainable development requires prioritizing residents' core use alongside compatible tourism.
Cite this article
Liu, M., Xu, J., Kong, X., & Shi, Y.. (2026). The influence of cultural landscape gene perception on residents’ place attachment in rural marketplaces: an interpretable machine learning analysis based on XGBoost–SHAP. Humanities and Social Sciences Communications. https://doi.org/10.1057/s41599-026-07726-7
Liu, Mingyuan, et al. “The influence of cultural landscape gene perception on residents’ place attachment in rural marketplaces: an interpretable machine learning analysis based on XGBoost–SHAP.” Humanities and Social Sciences Communications, 2026. https://doi.org/10.1057/s41599-026-07726-7.
Liu, Mingyuan, Junping Xu, Xu Kong, and Yixuan Shi. 2026. “The influence of cultural landscape gene perception on residents’ place attachment in rural marketplaces: an interpretable machine learning analysis based on XGBoost–SHAP.” Humanities and Social Sciences Communications. https://doi.org/10.1057/s41599-026-07726-7.
@article{liu-2026-influence-cultural-landscape-gene-perception,
title = {The influence of cultural landscape gene perception on residents’ place attachment in rural marketplaces: an interpretable machine learning analysis based on XGBoost–SHAP},
author = {Mingyuan Liu and Junping Xu and Xu Kong and Yixuan Shi},
journal = {Humanities and Social Sciences Communications},
year = {2026},
doi = {10.1057/s41599-026-07726-7},
url = {https://doi.org/10.1057/s41599-026-07726-7}
}
TY - JOUR TI - The influence of cultural landscape gene perception on residents’ place attachment in rural marketplaces: an interpretable machine learning analysis based on XGBoost–SHAP AU - Mingyuan Liu AU - Junping Xu AU - Xu Kong AU - Yixuan Shi JO - Humanities and Social Sciences Communications PY - 2026 DO - 10.1057/s41599-026-07726-7 UR - https://doi.org/10.1057/s41599-026-07726-7 ER -
Details
- DOI
- 10.1057/s41599-026-07726-7
- Countries
- China
- Regions
- Asia
- Categories
- climate-and-environment, regional-innovation-systems, policy, general-innovation
- Added
- 2026-09-01