Evolutionary Characteristics of Spatiotemporal Distribution of Tourists in Hangzhou and Its Influencing Factors

被引:0
|
作者
Wang, Yue [1 ]
Wang, Qiuju [1 ]
Zhong, Zhaoyun [1 ]
Zhang, Xiaorui [1 ]
机构
[1] Beijing Union Univ, Tourism Coll, Beijing 100101, Peoples R China
基金
中国国家自然科学基金;
关键词
spatiotemporal evolution GeoDetector; passenger flow analysis sensor; tourist volume;
D O I
10.18494/SAM126
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
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.
引用
收藏
页码:4355 / 4368
页数:14
相关论文
共 50 条
  • [41] A study on the spatio-temporal evolutionary characteristics of OFDI in Chinese private enterprises and its influencing factors
    Jianwen Ji
    Junfeng Liu
    Environmental Science and Pollution Research, 2023, 30 : 87880 - 87898
  • [42] Factors influencing length of stay of cultural tourists
    Brida, Juan Gabriel
    Meleddu, Marta
    Pulina, Manuela
    TOURISM ECONOMICS, 2013, 19 (06) : 1273 - 1292
  • [43] Spatiotemporal mismatch of global grain production and farmland and its influencing factors
    Chen, Wanxu
    Wang, Guanzheng
    Cai, Weina
    Che, Xinying
    Zhou, Wenhan
    Zhang, Chen
    Zeng, Jie
    RESOURCES CONSERVATION AND RECYCLING, 2023, 194
  • [44] Distribution Characteristics and Influencing Factors of Geological Hazards in Tibet
    FAN Jihui 1
    2. Graduate University of Chinese Academy of Sciences
    Wuhan University Journal of Natural Sciences, 2006, (04) : 806 - 812
  • [45] Spatial Distribution Characteristics and Influencing Factors of Weishan Lake
    Chang, Xu
    Sang, Guoqing
    Yan, Chengshan
    Zhang, Lin
    2018 INTERNATIONAL CONFERENCE ON AIR POLLUTION AND ENVIRONMENTAL ENGINEERING (APEE 2018), 2018, 208
  • [46] The spatial distribution characteristics and influencing factors of Chinese villages
    Zhou Y.
    Huang H.
    Liu Y.
    Dili Xuebao/Acta Geographica Sinica, 2020, 75 (10): : 2206 - 2223
  • [47] Characteristics and Influencing Factors of Traditional Village Distribution in China
    Su, Haoran
    Wang, Yaowu
    Zhang, Zhen
    Dong, Wen
    LAND, 2022, 11 (10)
  • [48] Analysis of the Spatiotemporal Distribution Characteristics and Influencing Factors of High-Grade Cultural Heritage in the Region Surrounding Mount Song
    Wei, Feng
    Sun, Chang
    Ma, Jiaming
    BUILDINGS, 2024, 14 (10)
  • [49] Spatiotemporal Distribution Characteristics and Influencing Factors of Dissolved Potentially Toxic Elements along Guangdong Coastal Water, South China
    Kang, Gelin
    Chen, Hanbao
    Hu, Chuanqi
    Wang, Fangzheng
    Qi, Zuoda
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2024, 12 (06)
  • [50] Spatiotemporal distribution of green-certified buildings and the influencing factors: A study of US
    Chen, Siwei
    Gou, Zhonghua
    HELIYON, 2023, 9 (11)