Evidence map›Paper›PMID 40753113›Full record

ArticleScientific reports2025

Assessing the location potential for tourism development of traditional villages in Sichuan province, China.

Jun Xia, Mingyan Deng, Linfu Zhu

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Jun XiaCollege of Tourism and Geographical Science, Leshan Normal University, Leshan, 614000, Sichuan, China.
Mingyan DengCollege of Tourism and Geographical Science, Leshan Normal University, Leshan, 614000, Sichuan, China. 295849537@qq.com.
Linfu ZhuCollege of Tourism and Geographical Science, Leshan Normal University, Leshan, 614000, Sichuan, China.

Funding

the 2024 Sichuan Provincial Social Science Foundation General Project "Research on the Evaluation of Tourism Development Potential and Response Mechanism of Traditional Chinese Villages in Sichuan Province under the Background of Rural Revitalization" SCJJ24ND089the Key Project of School-level Discipline Construction of Leshan Normal University "Research on Rural Cultural Display and Sustainable Development of Rural Tourism" WZD018the Talent Launch Project of Leshan Normal University RC2021015
6 · The paper itself

Abstract

With the advancement of the rural revitalization strategy, traditional villages are facing both opportunities and challenges for development. Tourism development is considered an effective means of preserving and utilizing traditional villages, and assessing the potential of village locations is crucial for decision-makers in formulating reasonable tourism development plans. Sichuan Province has 396 national-level traditional villages, but the distribution patterns and location potential across various spatial scales need further exploration. This study uses kernel density and nearest neighbor methods for spatial analysis and discovers for the first time that the traditional villages in Sichuan Province exhibit a "Six Cores and Five Belts" spatial distribution characteristic, with different aggregation patterns observed at the provincial, regional, and city scales. This study selects 25 indicators from five dimensions-natural environment, location and transportation, socio-economics, tourism market, and policy support-to construct a multi-indicator evaluation system for the comprehensive and quantitative assessment of the Location Potential for Tourism Development (LPTD) of traditional village. The research results show that the LPTD of traditional villages in Sichuan can be divided into three levels: high, medium, and low. High-potential villages (LPTD > 0.4047) are located in the Sichuan Basin, with high economic development levels, large population densities, convenient transportation, and favorable location conditions. Medium-potential villages (0.2523 < LPTD ≤ 0.4047) are distributed along the edges of the basin and central Ganzi Prefecture. Low-potential villages (LPTD ≤ 0.2523) are mostly found in the northern part of northwest Sichuan, the northern part of northeast Sichuan, and the Panxi area, with low economic development levels and weak transportation infrastructure. Through spatial autocorrelation and gravity model analysis, the location potential shows significant positive spatial autocorrelation at the provincial (Moran's I = 0.6721) and regional (Moran's I = 0.5386) scales, with a "Hot area" in the Sichuan Basin and two "Cold areas" in northwest Sichuan and the Panxi region. Three strong gravity areas are formed in the Chengdu Plain and southern Sichuan. Using spatially constrained multivariate clustering, the traditional villages in Sichuan are classified into four types: tourism-based, resource-based, ecology-based, and transportation-based. These findings fill the gap in the spatial understanding of the LPTD of traditional villages in Sichuan Province for the first time. Based on these findings, this paper proposes tourism development strategies for traditional villages from the perspective of location potential, aiming to promote the preservation, utilization, and sustainable development of traditional villages in Sichuan Province. The methodology of this study can be applied to other traditional village clusters worldwide, and the findings provide valuable insights for the protection and sustainable development of traditional villages globally.

Indexed as

Entropy weight methodLocational potentialSpatially constrained multivariate clusteringSpatial patternTraditional village

Identifiers

PMID40753113
PMCPMC12318088

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