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Spatial Patterns of Tourist Attractions in the Yangtze River Delta Region

Author

Listed:
  • Yuewei Wang

    (School of Business, Liaoning University, Shenyang 110036, China)

  • Xinyang Wu

    (School of Economics and Management, Northwest University, Xi’an 710127, China)

  • Zhizheng Liu

    (School of Business, Liaoning University, Shenyang 110036, China)

  • Hang Chen

    (School of Tourism Management, Shenyang Normal University, Shenyang 110034, China)

  • Yuyan Zhao

    (School of Management, Shenyang Jianzhu University, Shenyang 110168, China)

Abstract

Tourism is distinctly regional with respect to the regional distribution of tourism resources, tourist attractions and supply, and spatial continuity of tourist activities. Using point-of-interest data from 2166 tourist attractions in the Yangtze River Delta, this study analyzes the spatial distribution pattern of tourist attractions and their influencing factors by applying the methods of nearest proximity index, kernel density analysis, standard deviation ellipse, hotspot analysis, and spatial superposition analysis. The results show that the number of modern recreational tourist attractions accounts for the largest proportion. The spatial distribution pattern shows more attractions in the north than the south and more in the east than the west. The spatial density of tourist attractions in Shanghai is far greater than that in other regions, followed by Jiangsu and Zhejiang. The five types of tourist attractions show a significant aggregation state. Natural ecological tourist attractions are clustered near Nanjing and Huangshan; historical and cultural tourist attractions are formed in a T-shape by Shanghai, Hangzhou, and Nanjing; modern recreational tourist attractions are clustered in Shanghai and Hangzhou; and industrial integration tourist attractions are clustered in Shanghai, Nanjing, and Hangzhou. Physical geography, traffic, and social economy are the main factors affecting the spatial distribution of tourist attractions.

Suggested Citation

  • Yuewei Wang & Xinyang Wu & Zhizheng Liu & Hang Chen & Yuyan Zhao, 2022. "Spatial Patterns of Tourist Attractions in the Yangtze River Delta Region," Land, MDPI, vol. 11(9), pages 1-22, September.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:9:p:1523-:d:911009
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    References listed on IDEAS

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    Cited by:

    1. Bahram Zikirya & Chunshan Zhou, 2023. "Spatial Distribution and Influencing Factors of High-Level Tourist Attractions in China: A Case Study of 9296 A-Level Tourist Attractions," Sustainability, MDPI, vol. 15(19), pages 1-18, September.
    2. Qiuyu Zou & Jianwei Sun & Jing Luo & Jiaxing Cui & Xuesong Kong, 2023. "Spatial Patterns of Key Villages and Towns of Rural Tourism in China and Their Influencing Factors," Sustainability, MDPI, vol. 15(18), pages 1-16, September.
    3. Shengrui Zhang & Lei Chi & Tongyan Zhang & Yingjie Wang, 2022. "Spatial Pattern and Influencing Factors of Tourism Resources in Northwestern Ethnic Areas in China—A Case Study of Longde County," IJERPH, MDPI, vol. 19(24), pages 1-20, December.

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