Evidence map›Paper›PMID 40828790›Full record

ArticlePloS one2025

The spatial distribution characteristics and influencing factors of key villages in rural tourism in China.

Jiqiang Niu, Hao Guo, Weichun He, Feng Xu, Guangyu Zhang

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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

5 authors.

Jiqiang NiuSchool of Geographical Sciences, Xinyang Normal University, Xinyang City, Henan Province, China.ORCID https://orcid.org/0000-0002-3315-2970
Hao GuoSchool of Geographical Sciences, Xinyang Normal University, Xinyang City, Henan Province, China.
Weichun HeSchool of Geographical Sciences, Xinyang Normal University, Xinyang City, Henan Province, China.
Feng XuSchool of Geographical Sciences, Xinyang Normal University, Xinyang City, Henan Province, China.
Guangyu ZhangSchool of Geographical Sciences, Xinyang Normal University, Xinyang City, Henan Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rural tourism key villages in China serve as critical nodes driving the development of rural tourism. Based on a dataset of 1,195 key villages, this study employs Ripley's K-function and geographic detector methods to investigate their spatial distribution patterns and influencing factors. The findings reveal: ① The spatial distribution of rural tourism key villages demonstrates a strong directional alignment toward major cities and tourist attractions; ② Significant regional disparities exist in aggregation scales, with the eastern region exhibiting a substantially higher concentration than the central and western regions; ③ Both natural environmental factors and socio-economic factors influence rural tourism key villages, with road network density, river network density, and per capita disposable income exerting the most pronounced effects. These results provide valuable theoretical insights and practical guidance for the differentiated development and rural revitalization of key villages in China's rural tourism sector.

Indexed as

Rural PopulationTourismChinaHumansSocioeconomic FactorsSpatial AnalysisTravel

Identifiers

PMID40828790
PMCPMC12364373

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.