Evidence map›Paper›PMID 40055441›Full record

ArticleScientific reports2025

Spatial pattern of attractiveness and road network accessibility of scenic spots in Guangdong Province based on network information.

Zhenjie Liao, Shan Liang

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

2 authors.

Zhenjie LiaoSchool of Management, Guangzhou Huashang College, Guangzhou, China.
Shan LiangSchool of Economics, Guangzhou City University of Technology, Guangzhou, 510800, China. liangshan@gcu.edu.cn.

Funding

a grant from the Guangzhou Huashang College(No.2024HSTS07) No.2024HSTS07a grant from the Guangzhou Huashang College(No.910108005) No.910108005
6 · The paper itself

Abstract

With the progress of the Internet, the limitations of traditional scenic spots research in data collection, market evaluation and tourist experience analysis can be broken through, and a new way to evaluate the attractiveness of scenic spots has been opened up. Scenic spots, as a key factor for tourists to choose a destination, has a profound impact on tourism behavior. Focusing on Guangdong Province, this study used GIS spatial analysis and geographic detector to analyze the spatial distribution, influencing factors and forming mechanism of scenic spots in Guangdong Province. It is found that at the significance level of 1%, Global Moran's I value is 0.1297 and Z value is 5.6028, indicating that the attractiveness distribution has a significant spatial agglomeration. The Pearl River Delta region, with its rich cultural resources, developed economy, convenient transportation and huge market demand, has become the most attractive tourist area, and eastern Guangdong followed; however, due to the complex terrain, inconvenient transportation and weak economic foundation, the scenic spots in northern and western Guangdong are not developed enough and the attractiveness is relatively weak. Revealing the spatial structure and influencing factors of scenic spots in Guangdong Province is of far-reaching significance for scientific integration of tourist resources, promoting regional cooperation, guiding the development and upgrading of scenic spots, optimizing resource allocation, enhancing tourism competitiveness and promoting sustainable development of tourism.

Indexed as

AttractivenessGuangdong ProvinceNetwork informationScenic spotsSpatial pattern

Identifiers

PMID40055441
PMCPMC11889184

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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.