Study on Spatial Structure Characteristics of the Tourism and Leisure Industry
Study on Spatial Structure Characteristics of the Tourism and Leisure Industry
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旅游休闲产业空间结构特征研究
DOI：
10.3390/su132313117
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发表时间：
2021-11
期刊：
影响因子：
3.9
通讯作者：
Jianguo Liu
中科院分区：
文献类型：
--
作者：
Mingyu Zhao;Jianguo Liu
以北京市为例，利用开源的Point of Interest数据，采用空间可视化技术，探讨了北京市旅游休闲产业及其子产业的空间结构特征。研究发现：（1）北京市旅游休闲产业及其子产业的最近邻指数均小于1，表明北京市旅游休闲产业及其子产业在空间上呈集聚分布。风景名胜区的R值最大，为0.52，因此聚类程度最低。（2）北京市旅游休闲业及其子行业的主要方向性趋势为“东北-西南”方向，南北方向分散占主导地位，景区景点呈现出较为明显的空间分散趋势;（3）北起三里屯大街，南至潘家园大街，西至朝阳门大街，东至六里屯大街，是北京旅游休闲产业集聚中心面积最大、集聚度最高的区域。北起三里屯大街，南至劲松大街，西至朝阳门大街，东至六里屯大街的餐饮连片高密度集聚中心。购物和娱乐集群在CZCF和NUDZ中显示出棋盘图案。北京市旅游休闲、餐饮、住宿、购物娱乐3个等级的热点区域和非重点区域的分布呈现出以长株潭为中心依次向外扩展的环形格局。该区域高价值热点街道主要集中在北新桥街道、和平里街道、三里屯街道、和平街道、团结湖街道;高价值冷点街道主要集中在佛子庄乡、王坪镇、妙峰山镇、潭柘寺镇。
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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DOI：
10.18306/dlkxjz.2020.11.005
发表时间：
2020
期刊：
地理科学进展
影响因子：
--
作者：
崔喆;沈丽珍;刘子慎
通讯作者：
刘子慎
影响因子：
3.9
作者：
G. Moscardo;Laurie Murphy
通讯作者：
G. Moscardo;Laurie Murphy
DOI：
10.1080/13658816.2019.1615069
发表时间：
2020-04
影响因子：
5.7
作者：
Kevin A. Sparks;Gautam Thakur;Amol Pasarkar;M. Urban
通讯作者：
Kevin A. Sparks;Gautam Thakur;Amol Pasarkar;M. Urban
影响因子：
3.4
作者：
Shuyan Xue;Gang Li;Lan Yang;Ling Liu;Qifan Nie;M. S. Mehmood
通讯作者：
Shuyan Xue;Gang Li;Lan Yang;Ling Liu;Qifan Nie;M. S. Mehmood
影响因子：
3.9
作者：
A. Negrușa;V. Toader;Aurelian Sofică;M. Tutunea;R. V. Rus
通讯作者：
A. Negrușa;V. Toader;Aurelian Sofică;M. Tutunea;R. V. Rus