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Spatial distribution and influencing factors of high-quality tourist attractions in Shandong Province, China. [PDF]

open access: yesPLoS ONE, 2023
Optimizing the spatial layout of high-quality tourist attractions is of great significance in the sustainable development of the tourism industry. This work employs the ArcGIS spatial analysis tool to study the form, equality, and density of the spatial ...
Min Wang, Shumin Liu, Chenxu Wang
doaj   +3 more sources

Spatial distribution pattern and driving mechanism of tourist attractions in Gansu Province based on POI data. [PDF]

open access: yesPLoS ONE, 2023
The article utilizes POI (Point of Interest) data of tourist attractions in Gansu Province in 2021, adopts Moran's I and kernel density analysis to study the spatial distribution pattern of tourist attractions in Gansu Province, and uses spatial ...
Ruijuan Peng, Wanqianrong Gao
doaj   +3 more sources

Investigating spatial patterns and determinants of tourist attractions utilizing POI data: A case study of Hubei Province, China [PDF]

open access: yesHeliyon
Exploring the spatial distribution characteristics of tourist attractions and the influencing factors is of significant importance for destination development, yet little relevant research has been conducted.
Yuehua Jiang   +6 more
doaj   +3 more sources

Spatial Heterogeneity and Influencing Factors of High-Grade Tourist Attractions in the Tibetan Plateau. [PDF]

open access: yesInt J Environ Res Public Health, 2023
The construction of the world tourism destination on the Tibetan Plateau is inseparable from the traditional tourist attractions, which are significant landscape ecological units. Based on the data of high-grade tourist attractions on the Tibetan Plateau,
Shi S, Li M, Li Z, Xi J.
europepmc   +2 more sources

Online comments of tourist attractions combining artificial intelligence text mining model and attention mechanism. [PDF]

open access: yesSci Rep
This paper intends to solve the limitations of the existing methods to deal with the comments of tourist attractions. With the technical support of Artificial Intelligence (AI), an online comment method of tourist attractions based on text mining model ...
Mou T, Wang H.
europepmc   +2 more sources

Spatial Patterns of Tourist Attractions in the Yangtze River Delta Region

open access: yesLand, 2022
Tourism is distinctly regional with respect to the regional distribution of tourism resources, tourist attractions and supply, and spatial continuity of tourist activities.
Yuewei Wang   +4 more
doaj   +2 more sources

Text classification algorithm of tourist attractions subcategories with modified TF-IDF and Word2Vec. [PDF]

open access: yesPLoS One
Text classification, as an important research area of text mining, can quickly and effectively extract valuable information to address the challenges of organizing and managing large-scale text data in the era of big data. Currently, the related research
Xiao L   +5 more
europepmc   +2 more sources

Ranking Tourist Attractions through Online Reviews: A Novel Method with Intuitionistic and Hesitant Fuzzy Information Based on Sentiment Analysis [PDF]

open access: yesInternational Journal of Fuzzy Systems, 2021
Online tourist reviews are the real feeling of tourists after the journey, which have a strong reference value for potential tourists to make travel decisions.
Qin Y, Wang X, Xu Z.
europepmc   +2 more sources

Spatial analysis of the relationship between tourist attractions and tourist flows in Turkey

open access: yesEuropean Journal of Tourism Research, 2022
This study is intended to examine the relationship between tourist attractions (natural, cultural and historical) and tourist flows. In the study, secondary data for six provinces and 110 sub-provinces in the Southwestern Anatolia region of Turkey ...
Deniz Karagöz   +2 more
doaj   +2 more sources

Spatial Distribution and Influencing Factors of High-Level Tourist Attractions in China: A Case Study of 9296 A-Level Tourist Attractions

open access: yesSustainability, 2023
The distribution pattern of high-level tourist attractions is crucial for the sustainable development of the tourism industry. However, few studies have explored the spatial distribution and dominant influencing factors of tourist attractions of ...
Chunshan Zhou, Bahram Zikirya
exaly   +2 more sources

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