IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i19p14339-d1250095.html
   My bibliography  Save this article

Spatial Distribution and Influencing Factors of High-Level Tourist Attractions in China: A Case Study of 9296 A-Level Tourist Attractions

Author

Listed:
  • Bahram Zikirya

    (Key Laboratory of Sustainable Development of Xinjiang’s Historical and Cultural Tourism, College of Tourism, Xinjiang University, Urumqi 830046, China
    School of Geography and Planning, Sun Yat-Sen University, Guangzhou 510275, China)

  • Chunshan Zhou

    (Key Laboratory of Sustainable Development of Xinjiang’s Historical and Cultural Tourism, College of Tourism, Xinjiang University, Urumqi 830046, China
    School of Geography and Planning, Sun Yat-Sen University, Guangzhou 510275, China)

Abstract

The distribution pattern of high-level tourist attractions is crucial for the sustainable development of the tourism industry. However, few studies have explored the spatial distribution and dominant influencing factors of tourist attractions of different levels from a macro perspective in China. This study, which was based on large-scale multi-source data, involved the use of kernel density analysis, local spatial autocorrelation, and geographical detector analysis to explore the spatial distribution, spatial correlation, and dominant influencing factors of high-level tourist attractions in China. The study’s results show that the spatial distribution of tourist attractions of different levels is polarized and regionally clustered, and there exist some spatial correlation effects among attractions of the same level. Additionally, different influencing factors play a different role in determining the spatial distribution of attractions of different levels. Based on market demand and tourism resources, it is necessary to regulate attractions of different levels to promote the sustainable development of high-level tourist attractions and provide a reference for the development of China’s tourism industry.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:19:p:14339-:d:1250095
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/19/14339/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/19/14339/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yuewei Wang & Cong Lu & Hang Chen & Yuyan Zhao, 2022. "Evaluation and Spatial Characteristics of Cooperation among Tourist Attractions Based on a Geographic Information System: A Case Study of The Yangtze River Delta Region, China," Sustainability, MDPI, vol. 14(20), pages 1-19, October.
    2. Fang Wang & Zhao Liu & Shanshan Shang & Yuelei Qin & Bihu Wu, 2019. "Vitality continuation or over-commercialization? Spatial structure characteristics of commercial services and population agglomeration in historic and cultural areas," Tourism Economics, , vol. 25(8), pages 1302-1326, December.
    3. Peixue Liu & Xiao Xiao & Jie Zhang & Ronghua Wu & Honglei Zhang, 2018. "Spatial Configuration and Online Attention: A Space Syntax Perspective," Sustainability, MDPI, vol. 10(1), pages 1-15, January.
    4. Armando Montanari & Barbara Staniscia, 2009. "Culinary Tourism as a Tool for Regional Re-equilibrium," European Planning Studies, Taylor & Francis Journals, vol. 17(10), pages 1463-1483, January.
    5. Shiwei Shen & Marios Sotiriadis & Yuwen Zhang, 2020. "The Influence of Smart Technologies on Customer Journey in Tourist Attractions within the Smart Tourism Management Framework," Sustainability, MDPI, vol. 12(10), pages 1-18, May.
    6. Wang, Xia & Li, Xiang (Robert) & Zhen, Feng & Zhang, JinHe, 2016. "How smart is your tourist attraction?: Measuring tourist preferences of smart tourism attractions via a FCEM-AHP and IPA approach," Tourism Management, Elsevier, vol. 54(C), pages 309-320.
    7. 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.
    8. L. Zhang & Y. P. Wang & J. Sun & B. Yu, 2019. "The sightseeing bus schedule optimization under Park and Ride System in tourist attractions," Annals of Operations Research, Springer, vol. 273(1), pages 587-605, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Assumpció Huertas & Antonio Moreno & Jordi Pascual, 2021. "Place Branding for Smart Cities and Smart Tourism Destinations: Do They Communicate Their Smartness?," Sustainability, MDPI, vol. 13(19), pages 1-18, October.
    2. Danny Daniel Castillo Vizuete & Alex Vinicio Gavilanes Montoya & Eduardo Antonio Muñoz Jácome & Carlos Renato Chávez Velásquez & Stelian Alexandru Borz, 2021. "An Evaluation of the Importance of Smart Tourism Tools in the Riobamba Canton, Ecuador," Sustainability, MDPI, vol. 13(16), pages 1-22, August.
    3. Mateusz Naramski, 2020. "The Application of ICT and Smart Technologies in Polish Museums—Towards Smart Tourism," Sustainability, MDPI, vol. 12(21), pages 1-27, November.
    4. Yuejiao Wang & Shiwei Shen & Marios Sotiriadis & Li Zhang, 2020. "Suggesting a Framework for Performance Evaluation of Tourist Attractions: A Balance Score Approach," Sustainability, MDPI, vol. 12(15), pages 1-22, August.
    5. Junjie Gao & Younghwan Pan, 2022. "Evaluating Influencing Factors of Tourists’ Experiences with Smart Tour Guide System: A Mixed Method Research," Sustainability, MDPI, vol. 14(23), pages 1-19, December.
    6. Magdalena Florek & Jakub Gazda, 2021. "Traditional Food Products—Between Place Marketing, Economic Importance and Sustainable Development," Sustainability, MDPI, vol. 13(3), pages 1-14, January.
    7. Hugo Padrón-Ávila & Raúl Hernández-Martín, 2019. "Preventing Overtourism by Identifying the Determinants of Tourists’ Choice of Attractions," Sustainability, MDPI, vol. 11(19), pages 1-17, September.
    8. Ahmed Ali Bindajam & Javed Mallick, 2020. "Impact of the Spatial Configuration of Streets Networks on Urban Growth: A Case Study of Abha City, Saudi Arabia," Sustainability, MDPI, vol. 12(5), pages 1-14, March.
    9. Inessa Tyan & Mariemma I. Yagüe & Antonio Guevara-Plaza, 2020. "Blockchain Technology for Smart Tourism Destinations," Sustainability, MDPI, vol. 12(22), pages 1-11, November.
    10. Francisco E. Cabrera & Manuel Amaya & Gustavo Fabián Vaccaro Witt & José Ignacio Peláez, 2019. "Pairwise Voting to Rank Touristic Destinations Based on Preference Valuation," Sustainability, MDPI, vol. 11(21), pages 1-13, October.
    11. Chi Yunxian & Li Renjie & Zhao Shuliang & Guo Fenghua, 2020. "Measuring multi-spatiotemporal scale tourist destination popularity based on text granular computing," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-33, April.
    12. Monther M. Jamhawi & Roa’a J. Zidan & Mohammed Fareed Sherzad, 2023. "Tourist Movement Patterns and the Effects of Spatial Configuration in a Cultural Heritage and Urban Destination: The Case of Madaba, Jordan," Sustainability, MDPI, vol. 15(2), pages 1-25, January.
    13. Ohe, Yasuo & Kurihara, Shinichi, 2013. "Evaluating the complementary relationship between local brand farm products and rural tourism: Evidence from Japan," Tourism Management, Elsevier, vol. 35(C), pages 278-283.
    14. Xinyu Liu & Yibing Guan & Zihan Wu & Lufeng Nie & Xiang Ji, 2023. "Big Data Application in Urban Commercial Center System Evaluation," Sustainability, MDPI, vol. 15(5), pages 1-25, February.
    15. 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.
    16. Chen-Hao Xue & Yong-Ping Bai, 2023. "Spatiotemporal Characteristics and Factors Influencing Urban Tourism Market Network in Western China: Taking Chengdu as an Example," Sustainability, MDPI, vol. 15(10), pages 1-21, May.
    17. Tomašević Ivana & Đurović Sandra & Abramović Nikola, 2019. "Analysis of the Use of Digital Technologies in Montenegro’s Tourist offer on the Example of a Hotels in Bar," Economics, Sciendo, vol. 7(1), pages 119-125, June.
    18. Chiara Rinaldi, 2017. "Food and Gastronomy for Sustainable Place Development: A Multidisciplinary Analysis of Different Theoretical Approaches," Sustainability, MDPI, vol. 9(10), pages 1-25, September.
    19. Gangmin Weng & Hongyan Li & Yan Li, 2023. "The temporal and spatial distribution characteristics and influencing factors of tourist attractions in Chengdu-Chongqing economic circle," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(8), pages 8677-8698, August.
    20. Yuwen Zhang & Marios Sotiriadis & Shiwei Shen, 2022. "Investigating the Impact of Smart Tourism Technologies on Tourists’ Experiences," Sustainability, MDPI, vol. 14(5), pages 1-21, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:19:p:14339-:d:1250095. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.