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Spatial distribution and influencing factors of high-quality tourist attractions in Shandong Province, China
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 distribution of the 892 3A+ tourist attraction...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10348535/ https://www.ncbi.nlm.nih.gov/pubmed/37450422 http://dx.doi.org/10.1371/journal.pone.0288472 |
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author | Wang, Min Liu, Shumin Wang, Chenxu |
author_facet | Wang, Min Liu, Shumin Wang, Chenxu |
author_sort | Wang, Min |
collection | PubMed |
description | 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 distribution of the 892 3A+ tourist attractions (high-quality tourist attractions hereafter) in Shandong Province, China. It also examines the factors influencing the spatial distribution of tourist attractions from the perspectives of geographic features and landscapes, culture and heritage, socioeconomic development, and transportation. We therefore find the following: 1) High-quality tourist attractions in Shandong Province have obvious clustering in spatial distribution with the high-density areas mainly concentrated in Qingdao, Jining, Jinan, Tai’an and other cities. Influenced by resource endowment and economic development, the two major geographical areas in Central Shandong and Jiaodong Peninsula have the most concentrated distribution of high-quality tourist attractions. 2) The distribution of high-quality tourist attractions shows a southwest‒northeast clustering direction; Qingdao is a high-high clustering area, and Heze is a low-high clustering area with low uniformity of spatial distribution and obvious spatial divergence. 3) Tourist attractions show an obvious "N" type high-density distribution belt and nuclear density distribution across the three existing agglomeration centers in the Jining–Tai’an intersection, Binzhou–Dongying intersection, and Qingdao Jiaozhou Bay coast. 4) Topography, climate conditions, history and culture are intrinsic factors affecting the spatial distribution of tourist attractions, while socioeconomic and transportation conditions are external requirements for the development thereof; collectively, they constrain the spatial distribution of high-quality tourist attractions. |
format | Online Article Text |
id | pubmed-10348535 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-103485352023-07-15 Spatial distribution and influencing factors of high-quality tourist attractions in Shandong Province, China Wang, Min Liu, Shumin Wang, Chenxu PLoS One Research Article 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 distribution of the 892 3A+ tourist attractions (high-quality tourist attractions hereafter) in Shandong Province, China. It also examines the factors influencing the spatial distribution of tourist attractions from the perspectives of geographic features and landscapes, culture and heritage, socioeconomic development, and transportation. We therefore find the following: 1) High-quality tourist attractions in Shandong Province have obvious clustering in spatial distribution with the high-density areas mainly concentrated in Qingdao, Jining, Jinan, Tai’an and other cities. Influenced by resource endowment and economic development, the two major geographical areas in Central Shandong and Jiaodong Peninsula have the most concentrated distribution of high-quality tourist attractions. 2) The distribution of high-quality tourist attractions shows a southwest‒northeast clustering direction; Qingdao is a high-high clustering area, and Heze is a low-high clustering area with low uniformity of spatial distribution and obvious spatial divergence. 3) Tourist attractions show an obvious "N" type high-density distribution belt and nuclear density distribution across the three existing agglomeration centers in the Jining–Tai’an intersection, Binzhou–Dongying intersection, and Qingdao Jiaozhou Bay coast. 4) Topography, climate conditions, history and culture are intrinsic factors affecting the spatial distribution of tourist attractions, while socioeconomic and transportation conditions are external requirements for the development thereof; collectively, they constrain the spatial distribution of high-quality tourist attractions. Public Library of Science 2023-07-14 /pmc/articles/PMC10348535/ /pubmed/37450422 http://dx.doi.org/10.1371/journal.pone.0288472 Text en © 2023 Wang et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Wang, Min Liu, Shumin Wang, Chenxu Spatial distribution and influencing factors of high-quality tourist attractions in Shandong Province, China |
title | Spatial distribution and influencing factors of high-quality tourist attractions in Shandong Province, China |
title_full | Spatial distribution and influencing factors of high-quality tourist attractions in Shandong Province, China |
title_fullStr | Spatial distribution and influencing factors of high-quality tourist attractions in Shandong Province, China |
title_full_unstemmed | Spatial distribution and influencing factors of high-quality tourist attractions in Shandong Province, China |
title_short | Spatial distribution and influencing factors of high-quality tourist attractions in Shandong Province, China |
title_sort | spatial distribution and influencing factors of high-quality tourist attractions in shandong province, china |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10348535/ https://www.ncbi.nlm.nih.gov/pubmed/37450422 http://dx.doi.org/10.1371/journal.pone.0288472 |
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