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. 2024 Sep 18;19(9):e0310487.
doi: 10.1371/journal.pone.0310487. eCollection 2024.

Spatial distribution characteristics and influencing factors of tourism resources based on point of interest data

Feng Ding  1 , Shijun Zhang  1 , Luote Dai  2
Affiliations

Spatial distribution characteristics and influencing factors of tourism resources based on point of interest data

Feng Ding et al. PLoS One. .

Abstract

The agglomeration and dispersion of tourist attractions in space greatly affect the development of regional tourism resources and the consumption choice of tourism market. At present, the research on the spatial distribution characteristics of tourist attractions and their influencing factors mainly adopts induction and investigation, and there is a lack of effective statistical models for the research on the spatial distribution of tourist attractions and their influencing factors in some historical and cultural ancient cities. This paper uses Internet technology to obtain the spatial distribution data of tourist attractions in Shaoxing city, and uses mean nearest neighbor analysis, nuclear density analysis, imbalance index analysis, standard deviation ellipse and other spatial statistical analysis techniques and geographical detector methods to study the spatial distribution characteristics and influencing factors of tourist attractions in Shaoxing City. This paper studied the distribution characteristics of tourist attractions in Shaoxing city, such as spatial aggregation, distribution equilibrium and spatial orientation, and applied geographical detector to study the influencing factors of the spatial distribution of scenic spots. It was concluded that the spatial distribution pattern of scenic spots was affected by various factors such as natural environment, social environment and economic environment. The explanatory power of two-factor interaction is obviously stronger than that of single factor. The research results provide scientific basis for the planning, layout and development of tourist attractions in Shaoxing and its similar cities, and then promote the high-quality development of tourism in Shaoxing and its similar historical and cultural ancient cities.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Spatial visualization distribution map of tourist attractions in Shaoxing.
Fig 2
Fig 2. Kernel density map of spatial distribution of scenic spots in Shaoxing.
Fig 3
Fig 3. Lorenz curve of scenic spot distribution in Shaoxing.
Fig 4
Fig 4. Standard deviation ellipse in districts (counties and cities) in Shaoxing.
See this image and copyright information in PMC

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