文献类型：期刊文献

英文题名：Evolutionary Characteristics of Spatiotemporal Distribution of Tourists in Hangzhou and Its Influencing Factors

作者：Wang, Yue[1];Wang, Qiuju[1];Zhong, Zhaoyun[1];Zhang, Xiaorui[1]

第一作者：王莹

通讯作者：Wang, QJ[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：2022

卷号：34

期号：12

起止页码：4355-4368

外文期刊名：SENSORS AND MATERIALS

收录：;EI(收录号：20225113281368);Scopus(收录号：2-s2.0-85144215135);WOS:【SCI-EXPANDED(收录号:WOS:000893699700001)】；

基金：Acknowledgments This work was supported by the General Program of National Natural Science Foundation of China (Grant No. 42271255) and the Humanities and Social Sciences Research Project of the Ministry of Education (Grant No. 21YJA790052) . The authors wish to thank the two anonymous reviewers for their constructive comments on this manuscript.

语种：英文

外文关键词：spatiotemporal evolution GeoDetector; passenger flow analysis sensor; tourist volume

摘要：With the advent of the mass tourism era and the rapid development of all-for-one tourism, the spatiotemporal distribution of tourists has undergone major changes, resulting in significant challenges to the carrying capacity of tourist destinations and the spatial structure and organization of the tourism industry. On the basis of the tourist volume data of Hangzhou obtained from passenger flow analysis sensors and Hangzhou Tourism Overview, in this paper, we visualize the spatiotemporal distribution of tourists in the past ten years and explore its evolutionary law through the research methods of kernel density analysis, standard deviation ellipses, and gray system prediction. Six factors affecting the tourist volume, namely, the number of service providers, tourism demand scale, economic development level, policy support, tourist reception capacity, and tourism resource endowment, were also probed using the GeoDetector statistical method. We found that the distribution of tourist density in Hangzhou has changed from one core to multiple cores and the overall spatial agglomeration has decreased. The trend of tourists moving westward is expected to continue. Among the factors behind this change, the number of service providers has the highest effect and the tourism resource endowment has the lowest effect. The interaction of various factors can promote the evolution of the spatiotemporal distribution of tourists.