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

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.

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Publication Details

Journal
Scientific Reports
Published
2025-03-07
DOI
https://doi.org/10.1038/s41598-025-91419-9
Citations
3
Primary Topic
Diverse Aspects of Tourism Research
Type
article
Field-Weighted Citation Impact
12.60
Controls
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article

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

Shan Liang, Zhenjie Liao
3 citations
Scientific Reports
Diverse Aspects of Tourism Research
12.60
article

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

Shan Liang, Zhenjie Liao
article en
3 citations

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.

Scientific ReportsVol. 15(1)
Guangzhou Automobile Group (China) (CN), Guangzhou Huashang College, City University of Macau (MO)
Sustainable cities and communities
Openalex Percentile: Top 2%
Diverse Aspects of Tourism Research
12.60
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