IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v25y2023i8d10.1007_s10668-022-02418-z.html
   My bibliography  Save this article

The temporal and spatial distribution characteristics and influencing factors of tourist attractions in Chengdu-Chongqing economic circle

Author

Listed:
  • Gangmin Weng

    (Yanshan University)

  • Hongyan Li

    (Yanshan University)

  • Yan Li

    (Yanshan University)

Abstract

Chengdu-Chongqing economic circle (hereinafter referred to as “Chengyu Region”) is a key construction region of China's major development strategy. The development of regional tourism plays an important role in the optimization of regional economy and industrial structure. In this paper, ArcGIS 10.5 was used as the main analysis tool to analyze the temporal and spatial distribution of A-level tourist attractions in Chengyu Region, and makes factor analysis and interactive analysis on the factors affecting the distribution of tourist attractions by geographic detector model. The results show that: 1. The distribution of tourism attractions in Chengyu Region is mainly concentrated type, and the distribution of the natural landscape, cultural landscape, rural pastoral and modern entertainment in Chengyu Region are all concentrated type. 2. In terms of the distribution characteristics of kernel density, there is a significant deviation between the spatial distribution of A-level tourist attractions and tourism income in Chengyu Region. Through the analysis of the dynamic development of A-level tourist attractions in 2010, 2015 and 2021, tourism in Chengyu Region show a good situation of "driven by two cities and blooming in many places." Among them, Chengdu and Chongqing have obvious advantages, and Yibin has become an important city second only to Chengdu and Chongqing. 3. In terms of spatial correlation, the spatial distribution of A-level tourist attractions in Chengyu Region has a significant spatial autocorrelation. The local spatial autocorrelation of A-level tourist attractions includes H–H (high-high), H–L (high-low) and L–H (low–high) clustering types. 4. In terms of influencing factors, traffic location, water system, topography and social and economic development level are the important factors affecting the spatial distribution of regional A-level tourist attractions. Among them, the level of social and economic development has the greatest impact on regional tourism. Finally, based on relevant theories, this paper puts forward countermeasures and suggestions for regional coordinated development, so as to guide the sustainable development and management innovation of regional tourism industry.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:endesu:v:25:y:2023:i:8:d:10.1007_s10668-022-02418-z
    DOI: 10.1007/s10668-022-02418-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-022-02418-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10668-022-02418-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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. 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. Shengrui Zhang & Linsheng Zhong & Hongrun Ju & Yingjie Wang, 2019. "Land Border Tourism Resources in China: Spatial Patterns and Tourism Management," Sustainability, MDPI, vol. 11(1), pages 1-20, January.
    4. Jing Shi & Lei Xin & Yang Liu, 2020. "Simulation of tourists’ spatiotemporal behaviour and result validation with social media data," Transportation Planning and Technology, Taylor & Francis Journals, vol. 43(7), pages 698-716, October.
    5. Danny Castillo-Vizuete & Alex Gavilanes-Montoya & Carlos Chávez-Velásquez & Paúl Benalcázar-Vergara & Carlos Mestanza-Ramón, 2021. "Design of Nature Tourism Route in Chimborazo Wildlife Reserve, Ecuador," IJERPH, MDPI, vol. 18(10), pages 1-18, May.
    6. Rie Usui & Carolin Funck & Ifeoluwa B. Adewumi, 2021. "Tourism and Counterurbanization in a Low-Amenity Peripheral Island: A Longitudinal Study at Yakushima Island in Kagoshima, Japan," Sustainability, MDPI, vol. 13(16), pages 1-21, August.
    7. Arthur Getis & J. Keith Ord, 2010. "The Analysis of Spatial Association by Use of Distance Statistics," Advances in Spatial Science, in: Luc Anselin & Sergio J. Rey (ed.), Perspectives on Spatial Data Analysis, chapter 0, pages 127-145, Springer.
    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. Ning Zhang & Ying Mao, 2021. "Spatial Effects of Environmental Pollution on Healthcare Services: Evidence from China," IJERPH, MDPI, vol. 18(4), pages 1-21, February.
    2. 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.
    3. 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.
    4. Mehmet Ronael & Tüzin Baycan, 2022. "Place-based factors affecting COVID-19 incidences in Turkey," Asia-Pacific Journal of Regional Science, Springer, vol. 6(3), pages 1053-1086, October.
    5. Thomas M. Koutsos & Georgios C. Menexes & Andreas P. Mamolos, 2021. "The Use of Crop Yield Autocorrelation Data as a Sustainable Approach to Adjust Agronomic Inputs," Sustainability, MDPI, vol. 13(4), pages 1-17, February.
    6. Cláudia M. Viana & Dulce Freire & Patrícia Abrantes & Jorge Rocha, 2021. "Evolution of Agricultural Production in Portugal during 1850–2018: A Geographical and Historical Perspective," Land, MDPI, vol. 10(8), pages 1-18, July.
    7. Felipe Santos‐Marquez & Carlos Mendez, 2021. "Regional convergence, spatial scale, and spatial dependence: Evidence from homicides and personal injuries in Colombia 2010–2018," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(4), pages 1162-1184, August.
    8. Jianwei Qi & Yayan Lu & Fang Han & Xuankai Ma & Zhaoping Yang, 2022. "Spatial Distribution Characteristics of the Rural Tourism Villages in the Qinghai-Tibetan Plateau and Its Influencing Factors," IJERPH, MDPI, vol. 19(15), pages 1-21, July.
    9. 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.
    10. Cuixia Yan & Lucang Wang & Qing Zhang, 2021. "Study on Coupled Relationship between Urban Air Quality and Land Use in Lanzhou, China," Sustainability, MDPI, vol. 13(14), pages 1-21, July.
    11. Li‐chun Hou & Lian‐xia Wu & Sheng‐li Ju & Zhi‐rong Zhang & Yin‐jian Zhu & Zheng‐qing Lai, 2021. "The evolution patterns of tourism integration driven by regional tourism‐economic linkages—Taking Poyang Lake region, China, as an example," Growth and Change, Wiley Blackwell, vol. 52(3), pages 1914-1937, September.
    12. María-Jesús Perles & Juan F. Sortino & Matías F. Mérida, 2021. "The Neighborhood Contagion Focus as a Spatial Unit for Diagnosis and Epidemiological Action against COVID-19 Contagion in Urban Spaces: A Methodological Proposal for Its Detection and Delimitation," IJERPH, MDPI, vol. 18(6), pages 1-24, March.
    13. 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.
    14. Li, Xiaoliang & Wu, Kening & Yang, Qijun & Hao, Shiheng & Feng, Zhe & Ma, Jinliang, 2023. "Quantitative assessment of cultivated land use intensity in Heilongjiang Province, China, 2001–2015," Land Use Policy, Elsevier, vol. 125(C).
    15. Huxiao Zhu & Xiangjun Ou & Zhen Yang & Yiwen Yang & Hongxin Ren & Le Tang, 2022. "Spatiotemporal Dynamics and Driving Forces of Land Urbanization in the Yangtze River Delta Urban Agglomeration," Land, MDPI, vol. 11(8), pages 1-21, August.
    16. 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.
    17. Jifei Zhang & Shuai Zhang, 2022. "Assessing Integrated Effectiveness of Rural Socio-Economic Development and Environmental Protection of Wenchuan County in Southwestern China: An Approach Using Game Theory and VIKOR," Land, MDPI, vol. 11(11), pages 1-17, October.
    18. Hamidreza Rabiei-Dastjerdi & Gavin McArdle, 2021. "Novel Exploratory Spatiotemporal Analysis to Identify Sociospatial Patterns at Small Areas Using Property Transaction Data in Dublin," Land, MDPI, vol. 10(6), pages 1-16, May.
    19. Rauner, Sebastian & Eichhorn, Marcus & Thrän, Daniela, 2016. "The spatial dimension of the power system: Investigating hot spots of Smart Renewable Power Provision," Applied Energy, Elsevier, vol. 184(C), pages 1038-1050.
    20. Michael Manton & Evaldas Makrickas & Piotr Banaszuk & Aleksander Kołos & Andrzej Kamocki & Mateusz Grygoruk & Marta Stachowicz & Leonas Jarašius & Nerijus Zableckis & Jūratė Sendžikaitė & Jan Peters &, 2021. "Assessment and Spatial Planning for Peatland Conservation and Restoration: Europe’s Trans-Border Neman River Basin as a Case Study," Land, MDPI, vol. 10(2), pages 1-27, February.

    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:spr:endesu:v:25:y:2023:i:8:d:10.1007_s10668-022-02418-z. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.