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Spatio-Temporal Distribution of Tourism Flows and Network Analysis of Traditional Villages in Western Hunan

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  • Chunla Liu

    (College of Geographical Sciences, Hunan Normal University, Changsha 410081, China
    Key Laboratory of Geospatial Big Data Mining and Application, Changsha 410081, China)

  • Yingjie Qin

    (College of Geographical Sciences, Hunan Normal University, Changsha 410081, China
    Key Laboratory of Geospatial Big Data Mining and Application, Changsha 410081, China)

  • Yufei Wang

    (College of Geographical Sciences, Hunan Normal University, Changsha 410081, China)

  • Yue Yu

    (College of Geographical Sciences, Hunan Normal University, Changsha 410081, China)

  • Guanghui Li

    (College of Geographical Sciences, Hunan Normal University, Changsha 410081, China)

Abstract

Traditional village tourism is an effective path to rural revitalization and an excellent way to preserve traditional sceneries and cultural heritage. However, research on the subject matter has been limited. To address some of the current research gaps, this study used 2372 online travelogues from popular travel websites to explore the spatio-temporal distribution and network structure of the tourism flow in traditional villages in western Hunan using ArcGIS and social network analysis. The main findings are as follows: (1) In terms of time distribution, the tourism flow in traditional villages in Western Hunan is dominated by short-term tourism and shows significant seasonal differences. (2) The spatial distribution forms a double-core and multipoint spatial pattern with “Fenghuang Ancient City—Zhangjiajie National Forest Park” as core. (3) The network of traditional villages in Western Hunan exhibits a “core-periphery” hierarchical structure, with a network density of 0.275. Aside from the attraction and appeal of the twin cores, Furong Town and Tianmen Mountain constitute the core points of the network structure, and the radiation drive of the core nodes is not pronounced.

Suggested Citation

  • Chunla Liu & Yingjie Qin & Yufei Wang & Yue Yu & Guanghui Li, 2022. "Spatio-Temporal Distribution of Tourism Flows and Network Analysis of Traditional Villages in Western Hunan," Sustainability, MDPI, vol. 14(13), pages 1-16, June.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:13:p:7943-:d:851856
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    References listed on IDEAS

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    Cited by:

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    2. Yiqun Wu & Yuan Sun & Congyue Zhou & Yonghua Li & Xuanli Wang & Huifang Yu, 2023. "Spatial–Temporal Characteristics of Carbon Emissions in Mixed-Use Villages: A Sustainable Development Study of the Yangtze River Delta, China," Sustainability, MDPI, vol. 15(20), pages 1-21, October.
    3. Yuzhen Li & Guofang Gong & Fengtai Zhang & Lei Gao & Yuedong Xiao & Xingyu Yang & Pengzhen Yu, 2022. "Network Structure Features and Influencing Factors of Tourism Flow in Rural Areas: Evidence from China," Sustainability, MDPI, vol. 14(15), pages 1-23, August.
    4. Jing Wang & Yaping Zhang & Guofu Yang & Yinyi Wang & Xiaomeng Cheng & Bin Xu, 2023. "Spatial Reconstruction of Traditional Villages towards Synergistic Development in the Fuchun River Basin Based on the Gravity Model," Land, MDPI, vol. 12(5), pages 1-24, May.
    5. Bin Feng & Yongchi Ma, 2023. "Network Construction for Overall Protection and Utilization of Cultural Heritage Space in Dunhuang City, China," Sustainability, MDPI, vol. 15(5), pages 1-17, March.
    6. Tianzhi Liu & Fen Luo & Jiawen He, 2023. "Evolution of Spatial Structure of Tourist Flows for a Domestic Destination: A Case Study of Zhangjiajie, China," Sustainability, MDPI, vol. 15(4), pages 1-19, February.
    7. Yajun Cao & Jianguo Liu, 2022. "The Spatial Spillover Effect and Its Impact on Tourism Development in a Megacity in China," Sustainability, MDPI, vol. 14(15), pages 1-18, July.

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