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Study on Spatial Structure Characteristics of the Tourism and Leisure Industry  ( SCI-EXPANDED收录)  

文献类型:期刊文献

英文题名:Study on Spatial Structure Characteristics of the Tourism and Leisure Industry

作者:Zhao, Mingyu[1];Liu, Jianguo[1]

第一作者:Zhao, Mingyu

通讯作者:Liu, JG[1]

机构:[1]Beijing Union Univ, Tourism Coll, Beijing 100101, Peoples R China

第一机构:北京联合大学旅游学院

通讯机构:[1]corresponding author), Beijing Union Univ, Tourism Coll, Beijing 100101, Peoples R China.|[1141732]北京联合大学旅游学院;[11417]北京联合大学;

年份:2021

卷号:13

期号:23

外文期刊名:SUSTAINABILITY

收录:;Scopus(收录号:2-s2.0-85119973980);WOS:【SSCI(收录号:WOS:000734554100001),SCI-EXPANDED(收录号:WOS:000734554100001)】;

基金:FundingThe publication of the present work is supported by the National Natural Science Foundation of China (grant no. 41771131), Key Projects of Beijing Social Science Foundation (grant no. 21JCB050), and the Premium Funding Project for Academic Human Resources Development in Beijing Union University (grant no. BPHR2020AS02).

语种:英文

外文关键词:tourism and leisure; spatial structure; Beijing

摘要:By taking Beijing as the case site, using open-source Point of Interest data, and employing spatial visualization techniques, this study explores the spatial structural characteristics of the Beijing tourism and leisure industry and its sub-sectors. It has been found that (1) the nearest neighbor indexes of the tourism and leisure industry and its sub-sectors are all less than 1, indicating that the tourism and leisure industry and its sub-sectors in Beijing exhibit a spatial clustering distribution. Scenic spots have the largest R-value of 0.52 and, thus, the lowest degree of clustering. The minimum R-value of 0.15 is found in catering, marking the highest degree of clustering in the industry; (2) the main directional trend of the tourism and leisure industry and its sub-sectors in Beijing is the "northeast-southwest" direction, the south-north directional dispersion is dominant, and scenic spots demonstrate a more noticeable trend of spatial dispersion; (3) within the area from Sanlitun Street in the north to Panjiayuan Street in the south, and from Chaoyangmen Street in the west to Liulitun Street in the east, is situated the largest portion of cluster centers with the highest degree of clustering in Beijing's tourism and leisure industry. The contiguous high-density cluster center of catering starts from Sanlitun Street in the north to Jinsong Street in the south, and from Chaoyangmen Street in the west to Liulitun Street in the east. The cluster of shopping and entertainment shows a checkerboard pattern in the CZCF and NUDZ. The high-value cluster of accommodation occurs primarily around Sanlitun, Panjiayuan, and Qianmen; (4) the distribution of three grades of hot spot areas and non-significant areas of tourism and leisure, catering, accommodation, and shopping and entertainment in Beijing demonstrates a circular pattern that centers around the CZCF and expands outward in sequence. High-value hot spot streets for this area are dominated by Beixinqiao Street, Hepingli Street, Sanlitun Street, Heping Street, and Tuanjiehu Street; and the high-value cold spot streets of the area are chiefly in Fuzizhuang Township, Wangping Town, Miaofeng Mountain Town, and Tanzhesi Town.

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