IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i12p7329-d839399.html
   My bibliography  Save this article

Spatial Distribution and Accessibility of High Level Scenic Spots in Inner Mongolia

Author

Listed:
  • Xinyang Wu

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

  • Chuying Chen

    (School of Tourism and Culture, Guangdong Eco-engineering Polytechnic, Guangzhou 510520, China)

Abstract

Based on the data of high-level scenic spots in Inner Mongolia, the methods of the nearest neighbor index, kernel density, accessibility, and spatial autocorrelation are used to systematically sort out the spatial distribution pattern, accessibility, and influencing factors of various types of scenic spots. The following conclusions are drawn from the analysis. The spatial distribution of different types of tourist attractions in Inner Mongolia is in a state of “small agglomeration and large dispersion”. The spatial accessibility of different types of tourist attractions in Inner Mongolia is generally poor, and the temporal accessibility presents an inverted U-shaped distribution over time. The county-level accessibility of different types of scenic spots in Inner Mongolia is relatively poor, basically showing an oblique distribution pattern of low in the west and high in the east. The influencing factors of the spatial distribution pattern and accessibility of various scenic spots in Inner Mongolia mainly include the natural environment, transportation network, resource endowment, and economic level. This study proposes an optimal path for accessibility according to the aspects of the design of tourism scenic areas in a circle and the construction of tourist traffic and facilities, as well as the linkage design of tourist routes.

Suggested Citation

  • Xinyang Wu & Chuying Chen, 2022. "Spatial Distribution and Accessibility of High Level Scenic Spots in Inner Mongolia," Sustainability, MDPI, vol. 14(12), pages 1-13, June.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:12:p:7329-:d:839399
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/12/7329/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/12/7329/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yuewei Wang & Hang Chen & Xinyang Wu, 2021. "Spatial Structure Characteristics of Tourist Attraction Cooperation Networks in the Yangtze River Delta Based on Tourism Flow," Sustainability, MDPI, vol. 13(21), pages 1-16, October.
    2. Yena Song & Keumsook Lee & William Anderson & T. Lakshmanan, 2012. "Industrial agglomeration and transport accessibility in metropolitan Seoul," Journal of Geographical Systems, Springer, vol. 14(3), pages 299-318, July.
    3. repec:hal:journl:hal-03062650 is not listed on IDEAS
    4. Wei Chen & Hui Qu & Kuo Chi, 2021. "Partner Selection in China Interorganizational Patent Cooperation Network Based on Link Prediction Approaches," Sustainability, MDPI, vol. 13(2), pages 1-16, January.
    5. Sophie Masson & Romain Petiot, 2009. "Can the High Speed Rail reinforce tourism attractiveness? The case of the High Speed Railway section between Perpignan (France) and Barcelona (Spain)," Post-Print hal-02422659, HAL.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yixian Mo & Rongxiao He & Qing Liu & Yaoyao Zhao & Shuhai Zhuo & Peng Zhou, 2024. "Spatial Configuration and Accessibility Assessment of Recreational Resources in Hainan Tropical Rainforest National Park," Sustainability, MDPI, vol. 16(20), pages 1-15, October.
    2. Bo Zhang & Liangyu Zhou & Zhiwen Yin & Ao Zhou & Jue Li, 2023. "Study on the Correlation Characteristics between Scenic Byway Network Accessibility and Self-Driving Tourism Spatial Behavior in Western Sichuan," Sustainability, MDPI, vol. 15(19), pages 1-24, September.
    3. Juchen Li & Xiucheng Guo & Ruiying Lu & Yibang Zhang, 2022. "Analysing Urban Tourism Accessibility Using Real-Time Travel Data: A Case Study in Nanjing, China," Sustainability, MDPI, vol. 14(19), pages 1-18, September.
    4. Xiaodong Zhang & Haoying Han & Yongjun Tang & Zhilu Chen, 2023. "Spatial Distribution Characteristics and Driving Factors of Tourism Resources in China," Land, MDPI, vol. 12(5), pages 1-16, May.
    5. 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.
    6. 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.

    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. 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.
    2. Sohyun Park & Keumsook Lee, 2021. "Examining the Impact of E-Commerce Growth on the Spatial Distribution of Fashion and Beauty Stores in Seoul," Sustainability, MDPI, vol. 13(9), pages 1-20, May.
    3. Cartenì, Armando & Pariota, Luigi & Henke, Ilaria, 2017. "Hedonic value of high-speed rail services: Quantitative analysis of the students’ domestic tourist attractiveness of the main Italian cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 348-365.
    4. Rehman Khan, Syed Abdul & Qianli, Dong & SongBo, Wei & Zaman, Khalid & Zhang, Yu, 2017. "Travel and tourism competitiveness index: The impact of air transportation, railways transportation, travel and transport services on international inbound and outbound tourism," Journal of Air Transport Management, Elsevier, vol. 58(C), pages 125-134.
    5. Taotao Deng & Chen Gan & Yukun Hu, 2021. "Do hotel business benefit from increased tourist accessibility? Evidence from China’s high-speed railway program," Tourism Economics, , vol. 27(7), pages 1357-1374, November.
    6. Jensen, Martin Trandberg & Larsen, Jonas, 2021. "Rail tourism transitions: A sociological framework," Annals of Tourism Research, Elsevier, vol. 87(C).
    7. Ren, Xiaohang & Zeng, Gudian & Dong, Kangyin & Wang, Kun, 2023. "How does high-speed rail affect tourism development? The case of the Sichuan-Chongqing Economic Circle," Transportation Research Part A: Policy and Practice, Elsevier, vol. 169(C).
    8. Marie Delaplace & Sylvie Bazin & christophe Beckerich & Corinne Blanquart, 2011. "High speed Rail service and local economic development, a review," ERSA conference papers ersa10p167, European Regional Science Association.
    9. Yuewei Wang & Hang Chen & Xinyang Wu, 2021. "Spatial Structure Characteristics of Tourist Attraction Cooperation Networks in the Yangtze River Delta Based on Tourism Flow," Sustainability, MDPI, vol. 13(21), pages 1-16, October.
    10. Juan Luis Campa & Francesca Pagliara & María Eugenia López-Lambas & Rosa Arce & Begoña Guirao, 2019. "Impact of High-Speed Rail on Cultural Tourism Development: The Experience of the Spanish Museums and Monuments," Sustainability, MDPI, vol. 11(20), pages 1-22, October.
    11. 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.
    12. Albalate, Daniel & Fageda, Xavier, 2016. "High speed rail and tourism: Empirical evidence from Spain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 85(C), pages 174-185.
    13. Zhou Bo & Li Ningqiao, 2018. "The impact of high-speed trains on regional tourism economies," Tourism Economics, , vol. 24(2), pages 187-203, March.
    14. Zhang, Yanyan & Ma, Wenliang & Yang, Hangjun & Wang, Qiang, 2021. "Impact of high-speed rail on urban residents’ consumption in China—from a spatial perspective," Transport Policy, Elsevier, vol. 106(C), pages 1-10.
    15. Ren, Xiaohang & Xiao, Ya & Dong, Kangyin & Wang, Kun, 2025. "Adding fuel to the flames? Spatial convergence effects of railway development on global tourism industry," Transport Policy, Elsevier, vol. 162(C), pages 545-558.
    16. Chun-Wei Chen & Neng-Tang Huang & Hsien-Sheng Hsiao, 2022. "The Construction and Application of E-Learning Curricula Evaluation Metrics for Competency-Based Teacher Professional Development," Sustainability, MDPI, vol. 14(14), pages 1-22, July.
    17. Kehan Shi & Jinfang Wang & Xiaojin Liu & Xiaoying Zhao, 2022. "Impact of high-speed rail on tourism in China," PLOS ONE, Public Library of Science, vol. 17(12), pages 1-18, December.
    18. Zamparini, L. & Domènech, A. & Miravet, D. & Gutiérrez, A., 2022. "Green mobility at home, green mobility at tourism destinations: A cross-country study of transport modal choices of educated young adults," Journal of Transport Geography, Elsevier, vol. 103(C).
    19. Theodore Tsekeris & Klimis Vogiatzoglou, 2014. "Public infrastructure investments and regional specialization: empirical evidence from Greece," Regional Science Policy & Practice, Wiley Blackwell, vol. 6(3), pages 265-289, August.
    20. Yanyan Gao & Xinping Wang, 2023. "Chinese agriculture in the age of high‐speed rail: Effects on agricultural value added and food output," Agribusiness, John Wiley & Sons, Ltd., vol. 39(2), pages 387-405, March.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:14:y:2022:i:12:p:7329-:d:839399. 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.