IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i21p9426-d1510085.html
   My bibliography  Save this article

The Matching Relationship Between the Distribution Characteristics of High-Grade Tourist Attractions and Spatial Vitality in Xinjiang

Author

Listed:
  • Bahram Zikirya

    (School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China
    College of Tourism, Xinjiang University, Urumqi 830049, China)

  • Yueqing Xing

    (College of Tourism, Xinjiang University, Urumqi 830049, China)

  • Chunshan Zhou

    (School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China
    College of Tourism, Xinjiang University, Urumqi 830049, China)

Abstract

The development of the tourism industry serves as a crucial pathway for guiding urban spatial vitality, making the study of the matching relationship between the spatial distribution characteristics of tourist attractions and regional spatial vitality particularly important for the advancement of the tourism sector. This study combines Amap POI data and Weibo sign-in data, employing various quantitative methods, including Kernel Density Estimation (KDE), Hotspot Analysis (Getis-Ord Gi*), and the Geographically Weighted Regression (GWR) model, to thoroughly explore the distribution characteristics of different grades of tourist attractions in Xinjiang and their matching relationship with spatial vitality. The findings indicate that AAAAA attractions are primarily concentrated in Urumqi and its surrounding areas, where spatial vitality highly matches the distribution of attractions. The distribution of AAAA attractions shows regional differences, exhibiting higher matching degrees in certain areas of southern and western Xinjiang, while some regions in northern Xinjiang demonstrate lower matching degrees. Conversely, AAA attractions are more widely distributed in remote areas, where the matching between vitality and attraction distribution is low, particularly in southern and eastern Xinjiang, revealing a notable mismatch between tourism resources and spatial vitality. By analyzing the matching relationship between tourism resources and spatial vitality, this study provides a scientific basis for optimizing the allocation of tourism resources in Xinjiang and enhancing regional tourism spatial vitality. Additionally, this study also offers valuable insights for tourism managers and planners to formulate more precise tourism development policies.

Suggested Citation

  • Bahram Zikirya & Yueqing Xing & Chunshan Zhou, 2024. "The Matching Relationship Between the Distribution Characteristics of High-Grade Tourist Attractions and Spatial Vitality in Xinjiang," Sustainability, MDPI, vol. 16(21), pages 1-17, October.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:21:p:9426-:d:1510085
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/21/9426/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/21/9426/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jun Zhang & Xiong He & Xiao-Die Yuan, 2020. "Research on the relationship between Urban economic development level and urban spatial structure—A case study of two Chinese cities," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-14, July.
    2. Sherry, Lance, 2015. "A method for quantifying travel productivity for corporate travel managers," Journal of Air Transport Management, Elsevier, vol. 42(C), pages 118-124.
    3. Daniel P. McMillen, 2004. "Geographically Weighted Regression: The Analysis of Spatially Varying Relationships," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(2), pages 554-556.
    4. Juan L Eugenio-Martin & José M Cazorla-Artiles & Christian González-Martel, 2019. "On the determinants of Airbnb location and its spatial distribution," Tourism Economics, , vol. 25(8), pages 1224-1244, December.
    5. Kai Zhao & Jinhan Guo & Ziying Ma & Wanshu Wu, 2023. "Exploring the Spatiotemporal Heterogeneity and Stationarity in the Relationship between Street Vitality and Built Environment," SAGE Open, , vol. 13(1), pages 21582440231, February.
    6. Weiyang Zhang & Ben Derudder & Jianghao Wang & Wei Shen & Frank Witlox, 2016. "Using Location-Based Social Media to Chart the Patterns of People Moving between Cities: The Case of Weibo-Users in the Yangtze River Delta," Journal of Urban Technology, Taylor & Francis Journals, vol. 23(3), pages 91-111, July.
    7. 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.
    8. Tongwen Wang & Ya Li & Haidong Li & Shuaijun Chen & Hongkai Li & Yunxing Zhang, 2022. "Research on the Vitality Evaluation of Parks and Squares in Medium-Sized Chinese Cities from the Perspective of Urban Functional Areas," IJERPH, MDPI, vol. 19(22), pages 1-23, November.
    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. Liu, Yan & Wang, Siqin & Xie, Bin, 2019. "Evaluating the effects of public transport fare policy change together with built and non-built environment features on ridership: The case in South East Queensland, Australia," Transport Policy, Elsevier, vol. 76(C), pages 78-89.
    2. Juan Luis Jiménez & Armando Ortuño & Jorge V. Pérez-Rodríguez, 2022. "How does AirBnb affect local Spanish tourism markets?," Empirical Economics, Springer, vol. 62(5), pages 2515-2545, May.
    3. Hongli Liu & Xiaoyu Yan & Jinhua Cheng & Jun Zhang & Yan Bu, 2021. "Driving Factors for the Spatiotemporal Heterogeneity in Technical Efficiency of China’s New Energy Industry," Energies, MDPI, vol. 14(14), pages 1-21, July.
    4. Li Gao & Mingjing Huang & Wuping Zhang & Lei Qiao & Guofang Wang & Xumeng Zhang, 2021. "Comparative Study on Spatial Digital Mapping Methods of Soil Nutrients Based on Different Geospatial Technologies," Sustainability, MDPI, vol. 13(6), pages 1-19, March.
    5. Guancen Wu & Dongqin Yang & Xing Niu & Zixuan Mi, 2024. "The Impact of Park Green Space Areas on Urban Vitality: A Case Study of 35 Large and Medium-Sized Cities in China," Land, MDPI, vol. 13(10), pages 1-17, September.
    6. Salma Hamza & Imran Khan & Linlin Lu & Hua Liu & Farkhunda Burke & Syed Nawaz-ul-Huda & Muhammad Fahad Baqa & Aqil Tariq, 2021. "The Relationship between Neighborhood Characteristics and Homicide in Karachi, Pakistan," Sustainability, MDPI, vol. 13(10), pages 1-14, May.
    7. David Boto-García & Veronica Leoni, 2023. "The Economic Value of Coastal Amenities: Evidence from Beach Capitalization Effects in Peer-to-Peer Markets," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(2), pages 529-557, February.
    8. Jie Li & Kun Jia & Yanxu Liu & Bo Yuan & Mu Xia & Wenwu Zhao, 2021. "Spatiotemporal Distribution of Zika Virus and Its Spatially Heterogeneous Relationship with the Environment," IJERPH, MDPI, vol. 18(1), pages 1-14, January.
    9. Jiaxing Pang & Xue Li & Xiang Li & Ting Yang & Ya Li & Xingpeng Chen, 2022. "Analysis of Regional Differences and Factors Influencing the Intensity of Agricultural Water in China," Agriculture, MDPI, vol. 12(4), pages 1-20, April.
    10. Yunxing Zhang & Meiyu Yang & Ziyang Li & Weizhen Li & Chenchen Lu & Zhigang Li & Haidong Li & Feifei Zhai, 2023. "Study on the Spatial Distribution Characteristics and Influencing Factors in the Reuse of National Industrial Heritage Sites in China," Sustainability, MDPI, vol. 15(24), pages 1-24, December.
    11. Jinghua Song & Yuyi Zhu & Xiangzhai Chu & Xiu Yang, 2024. "Research on the Vitality of Public Spaces in Tourist Villages through Social Network Analysis: A Case Study of Mochou Village in Hubei, China," Land, MDPI, vol. 13(3), pages 1-16, March.
    12. Liu, Yang & Min, Shisheng & Shi, Zhuangbin & He, Mingwei, 2024. "Exploring students' choice of active travel to school in different spatial environments: A case study in a mountain city," Journal of Transport Geography, Elsevier, vol. 115(C).
    13. Fei Han & Xinqi Zheng & Peipei Wang & Dongya Liu & Minrui Zheng, 2022. "Effects of Meteorological Factors and Air Pollutants on COVID-19 Transmission under the Action of Control Measures," IJERPH, MDPI, vol. 19(15), pages 1-19, July.
    14. Juan L Eugenio-Martin & Roberto Patuelli, 2022. "Panel data models in tourism research: Innovative applications and methods," Tourism Economics, , vol. 28(5), pages 1348-1354, August.
    15. Xinyang Li & Marek Kozlowski & Sumarni Binti Ismail & Sarah Abdulkareem Salih, 2024. "Spatial Distribution Characteristics of Leisure Urban Spaces and the Correlation with Population Activity Intensity: A Case Study of Nanjing, China," Sustainability, MDPI, vol. 16(16), pages 1-21, August.
    16. Yuan Gao & Chuanrong Zhang & Qingsong He & Yaolin Liu, 2017. "Urban Ecological Security Simulation and Prediction Using an Improved Cellular Automata (CA) Approach—A Case Study for the City of Wuhan in China," IJERPH, MDPI, vol. 14(6), pages 1-20, June.
    17. Chengcheng Xu & Yuxuan Wang & Wei Ding & Pan Liu, 2020. "Modeling the Spatial Effects of Land-Use Patterns on Traffic Safety Using Geographically Weighted Poisson Regression," Networks and Spatial Economics, Springer, vol. 20(4), pages 1015-1028, December.
    18. Pinyue Ouyang & Xiaowen Wu, 2023. "Analysis and Evaluation of the Service Capacity of a Waterfront Public Space Using Point-of-Interest Data Combined with Questionnaire Surveys," Land, MDPI, vol. 12(7), pages 1-19, July.
    19. Ambrose, Scott C. & Waguespack, Blaise P. & Rutherford, Brian N., 2021. "The negative effects of travel friction among road warrior salespeople," Journal of Air Transport Management, Elsevier, vol. 95(C).
    20. Yan Long & Siyu Hu & Zhengyuan Lu & Lianghao Cheng & Cairui Zhen & Jingmei Shao & Yuqiao Zheng & Xuehui Zhou & Jin Li & Yudi Lin & Shu Zhang & Yue Wang & Tianyue Luo & Haijuan Zhao & Xuejun Liu, 2024. "A Study on the Influence Mechanisms of Neighborhood Vitality and the Characteristics of Spatial and Temporal Differentiation in the Urban Fringe Areas of Wuhan City," Land, MDPI, vol. 13(11), pages 1-36, October.

    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:16:y:2024:i:21:p:9426-:d:1510085. 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.