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The development of tourist resorts is integral to the high-quality growth of the national tourism industry. This study utilizes a combination of the nearest neighbour index, kernel density analysis, and geographic concentration index to examine the spatial and temporal distribution of 758 national and provincial tourist resorts in China. The analysis reveals several key findings: (1) the years 1992 and 2015 were pivotal for the development of China\u2019s tourist resorts, with significant government attention and steady growth in the number of national tourism resorts from 2015 to 2023. (2) The distribution of China\u2019s tourist resorts shows an overall uneven distribution at a national level but a more balanced distribution locally. The southeast region exhibits a high and even distribution density, while the northwest region has a lower density and quantity of resorts. (3) Some specific areas have emerged such as the junction of Anhui, Hubei, and Jiangxi provinces as the first core gathering areas and the junction of Shanxi, Jiangsu, and Zhejiang provinces as the secondary core areas. These core areas have gradually weakened and spread to other regions, leading to changes in the distribution patterns of tourist resorts. (4) The distribution of China\u2019s tourist resorts is influenced by various factors, including economic development, resource endowment, source market, and government support. Government support is a key factor in accelerating the development of tourism resorts. These findings shed light on the complex dynamics shaping the distribution of tourist resorts in China.<\/jats:p>","DOI":"10.1155\/2024\/6632478","type":"journal-article","created":{"date-parts":[[2024,3,21]],"date-time":"2024-03-21T00:35:05Z","timestamp":1710981305000},"page":"1-14","source":"Crossref","is-referenced-by-count":3,"title":["Temporal and Spatial Evolution and Factors Influencing Tourist Resorts in China"],"prefix":"10.1155","volume":"2024","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-7339-677X","authenticated-orcid":true,"given":"Huying","family":"Zhu","sequence":"first","affiliation":[{"name":"Business School, Hunan University of Science and Technology, Xiangtan 411201, China"},{"name":"Research Center for Regional High-Quality Development, Hunan University of Science and Technology, Xiangtan 411201, China"}]},{"given":"Xiang","family":"Yan","sequence":"additional","affiliation":[{"name":"Business School, Hunan University of Science and Technology, Xiangtan 411201, China"}]}],"member":"311","reference":[{"issue":"2","key":"1","first-page":"11","article-title":"New trends in tourism in the post epidemic era: foliday holiday lifestyle","volume":"38","author":"J. 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