IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i19p14450-d1253031.html
   My bibliography  Save this article

Spatiotemporal Dynamic Analysis and Simulation Prediction of Land Use and Landscape Patterns from the Perspective of Sustainable Development in Tourist Cities

Author

Listed:
  • Fanqi Meng

    (School of Architecture & Fine Art, Dalian University of Technology, Dalian 116081, China)

  • Li Dong

    (School of Architecture & Fine Art, Dalian University of Technology, Dalian 116081, China)

  • Yu Zhang

    (School of Architecture & Fine Art, Dalian University of Technology, Dalian 116081, China)

Abstract

The unreasonable development of land use and use of landscape patterns are the primary causes of the unsustainable growth of tourism cities. Dawa District, a well-known tourist destination in China, was chosen as the research object in order to scientifically evaluate and simulate the dynamic changes in land use. Landsat remote sensing images of the Dawa District from 2011, 2016, and 2021 were processed, using the development of regional tourism in 2016 as the dividing point. Using Arcgis10.3, ENVI5.3, and Fragstats tools, GIS spatial analysis and landscape index analysis were used to explore the spatiotemporal dynamic characteristics of land use and landscape patterns. The CA-Markov model was used to simulate and predict the land use landscape pattern in 2026. The results show that the rapid expansion of built-up areas in 2011–2021 and the increasing marginal complexity and fragmentation of landscape patterns are the main evolution trends. In 2016, emphasis was placed on sustainable land resources, and the area of forested water gradually recovered. However, the patch density (PD) and number of patches (NP) indices reflecting fragmentation still showed a 1.5–2 fold increase. It is expected that in 2026, the dual pressure of urban development and ecological sustainable construction will enhance connectivity and aggregation, and the ecological environment will gradually recover. At the same time, the competition for various types of land will become increasingly prominent, and agricultural activities will be affected. In summary, optimization strategies are proposed from the perspectives of government, land, landscape, and industry, aiming to promote the sustainable development of land and landscape resources in tourist cities.

Suggested Citation

  • Fanqi Meng & Li Dong & Yu Zhang, 2023. "Spatiotemporal Dynamic Analysis and Simulation Prediction of Land Use and Landscape Patterns from the Perspective of Sustainable Development in Tourist Cities," Sustainability, MDPI, vol. 15(19), pages 1-21, October.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:19:p:14450-:d:1253031
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/19/14450/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/19/14450/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wafaa Majeed Mutashar Al-Hameedi & Jie Chen & Cheechouyang Faichia & Biswajit Nath & Bazel Al-Shaibah & Ali Al-Aizari, 2022. "Geospatial Analysis of Land Use/Cover Change and Land Surface Temperature for Landscape Risk Pattern Change Evaluation of Baghdad City, Iraq, Using CA–Markov and ANN Models," Sustainability, MDPI, vol. 14(14), pages 1-31, July.
    2. Zhou, Yang & Li, Yamei & Xu, Chenchen, 2020. "Land consolidation and rural revitalization in China: Mechanisms and paths," Land Use Policy, Elsevier, vol. 91(C).
    3. Fantini, Alfredo C. & Bauer, Eliane & de Valois, Cassio M. & Siddique, Ilyas, 2017. "The demise of swidden-fallow agriculture in an Atlantic Rainforest region: Implications for farmers’ livelihood and conservation," Land Use Policy, Elsevier, vol. 69(C), pages 417-426.
    4. Zhou, Yang & Li, Xunhuan & Liu, Yansui, 2020. "Rural land system reforms in China: History, issues, measures and prospects," Land Use Policy, Elsevier, vol. 91(C).
    5. Randelli, Filippo & Martellozzo, Federico, 2019. "Is rural tourism-induced built-up growth a threat for the sustainability of rural areas? The case study of Tuscany," Land Use Policy, Elsevier, vol. 86(C), pages 387-398.
    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. Longjiao Wen & Zhenzhen Liu & Zhifeng Gao & Saeid Khanjari, 2022. "Evolutionary Path and Mechanism of Village Revitalization: A Case Study of Yuejin Village, Jiangsu, China," Sustainability, MDPI, vol. 14(13), pages 1-20, July.
    2. Xiuling Ding & Qian Lu & Lipeng Li & Apurbo Sarkar & Hua Li, 2023. "Does Labor Transfer Improve Farmers’ Willingness to Withdraw from Farming?—A Bivariate Probit Modeling Approach," Land, MDPI, vol. 12(8), pages 1-27, August.
    3. Tan, Kun & Zhao, Xiaoqing & Pu, Junwei & Li, Sinan & Li, Yuhao & Miao, Peipei & Wang, Qian, 2021. "Zoning regulation and development model for water and land resources in the Karst Mountainous Region of Southwest China," Land Use Policy, Elsevier, vol. 109(C).
    4. Qingsheng Bi & Weiqiang Chen & Ling Li & Xiuli Wang & Enxiang Cai, 2022. "Agricultural Population Supported in Rural Areas under Traditional Planting Mode Based on Opportunity Cost Analysis," Land, MDPI, vol. 11(8), pages 1-15, August.
    5. Lu Cai & Chaoqing Chai & Bangbang Zhang & Feng Yang & Wei Wang & Chengdong Zhang, 2022. "The Theoretical Approach and Practice of Farmland Rights System Reform from Decentralization to Centralization Promoting Agricultural Modernization: Evidence from Yuyang District in Shaanxi, China," Land, MDPI, vol. 11(12), pages 1-16, December.
    6. Leng Liu & Congjie Cao & Wei Song, 2023. "Bibliometric Analysis in the Field of Rural Revitalization: Current Status, Progress, and Prospects," IJERPH, MDPI, vol. 20(1), pages 1-18, January.
    7. Xue Zhou & Yang Zhou, 2021. "Spatio-Temporal Variation and Driving Forces of Land-Use Change from 1980 to 2020 in Loess Plateau of Northern Shaanxi, China," Land, MDPI, vol. 10(9), pages 1-17, September.
    8. Zhou, Yang & Li, Xunhuan & Liu, Yansui, 2020. "Land use change and driving factors in rural China during the period 1995-2015," Land Use Policy, Elsevier, vol. 99(C).
    9. Zhou, Yang & Zhong, Zhen & Cheng, Guoqiang, 2023. "Cultivated land loss and construction land expansion in China: Evidence from national land surveys in 1996, 2009 and 2019," Land Use Policy, Elsevier, vol. 125(C).
    10. Xiaoping Zhou & Xiaotian Li & Xiaokun Gu, 2023. "How Does Urban-Rural Capital Flow Affect Rural Reconstruction near Metropolitan Areas? Evidence from Shanghai, China," Land, MDPI, vol. 12(3), pages 1-16, March.
    11. Li, Jing & Lo, Kevin & Zhang, Pingyu & Guo, Meng, 2021. "Reclaiming small to fill large: A novel approach to rural residential land consolidation in China," Land Use Policy, Elsevier, vol. 109(C).
    12. Peng Cheng & Houtian Tang & Yue Dong & Ke Liu & Ping Jiang & Yaolin Liu, 2021. "Knowledge Mapping of Research on Land Use Change and Food Security: A Visual Analysis Using CiteSpace and VOSviewer," IJERPH, MDPI, vol. 18(24), pages 1-22, December.
    13. Zhou, Yang & Li, Xunhuan & Liu, Yansui, 2021. "Cultivated land protection and rational use in China," Land Use Policy, Elsevier, vol. 106(C).
    14. Xin Deng & Miao Zeng & Dingde Xu & Yanbin Qi, 2020. "Does Social Capital Help to Reduce Farmland Abandonment? Evidence from Big Survey Data in Rural China," Land, MDPI, vol. 9(10), pages 1-17, September.
    15. Li, Xinyi & Ito, Junichi, 2023. "Determinants of technical efficiency and farmers’ crop choice rationality: A case study of rural Gansu, China," Journal of Asian Economics, Elsevier, vol. 84(C).
    16. Dongsheng Zhang & Ming Yang & Ziyou Wang, 2022. "Resources or Capital?—The Quality Improvement Mechanism of Precision Poverty Alleviation by Land Elements," Land, MDPI, vol. 11(10), pages 1-24, October.
    17. Li, Fang & Feng, Shuyi & Lu, Hualiang & Qu, Futian & D’Haese, Marijke, 2021. "How do non-farm employment and agricultural mechanization impact on large-scale farming? A spatial panel data analysis from Jiangsu Province, China," Land Use Policy, Elsevier, vol. 107(C).
    18. Jiang, Yanfeng & Tang, Yu-Ting & Long, Hualou & Deng, Wu, 2022. "Land consolidation: A comparative research between Europe and China," Land Use Policy, Elsevier, vol. 112(C).
    19. Weiwen Wang & Jian Gong & Ying Wang & Yang Shen, 2022. "The Causal Pathway of Rural Human Settlement, Livelihood Capital, and Agricultural Land Transfer Decision-Making: Is It Regional Consistency?," Land, MDPI, vol. 11(7), pages 1-24, July.
    20. Weijia Chen & Yongquan Lu & Guilin Liu, 2022. "Balancing cropland gain and desert vegetation loss: The key to rural revitalization in Xinjiang, China," Growth and Change, Wiley Blackwell, vol. 53(3), pages 1122-1145, September.

    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:14450-:d:1253031. 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.