IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v14y2025i2p228-d1573655.html
   My bibliography  Save this article

Identification and Prediction of Land Use Spatial Conflicts in Urban Agglomeration on the Northern Slope of Tianshan Mountains Under the Background of Urbanization

Author

Listed:
  • Yunfei Ma

    (College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830017, China
    Key Laboratory of Smart City and Environment Modeling of Higher Education Institute, Urumqi 830017, China)

  • Yusuyunjiang Mamitimin

    (College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830017, China
    Key Laboratory of Smart City and Environment Modeling of Higher Education Institute, Urumqi 830017, China)

  • Ailijiang Nuerla

    (College of Ecology and Environment, Xinjiang University, Urumqi 830017, China)

Abstract

In past decades, urbanization has entered a phase of rapid development, resulting in an intensified utilization of land resources. The finite nature of these resources has led to increased pressure on land availability, giving rise to a phenomenon known as land use conflict. This conflict is particularly evident in the frequent conversion of land categories, with urban impervious surfaces increasingly encroaching upon forests, grasslands, and agricultural land. Such encroachments trigger a series of land use conflict issues, which subsequently impact the function and structure of regional ecosystems. This paper analyzes the spatial and temporal changes in land use and land cover (LULC) within the urban agglomeration on the northern slope of Tianshan Mountain. It measures and evaluates the spatial and temporal evolution of land use conflicts in the study area from 1990 to 2020, utilizing conflict-related theories and the landscape risk evaluation model. Additionally, the paper explores the spatial and temporal dimensions of land use conflicts under three scenarios—natural development (ND), cultivation priority (CP), and ecological priority (EP)—for the years 2030 and 2050, informed by the Future Land Use Simulation (FLUS) model. The results indicate that unused land constitutes the predominant land use type, accounting for over 50% of the total area. The areas of cultivated land, water bodies, and urban land are experiencing an increasing trend, while the areas of forestland, grassland, and unused land are witnessing a decreasing trend. The level of land use spatial conflicts during the study period showed a decreasing and then increasing trend, with an overall upward trend and an increase in the average value of 0.03. In terms of the proportion of spatial units, mild and general conflicts exhibited a decreasing trend, with reductions of 4.21% and 2.95%, respectively. Conversely, the proportion of medium conflicts increased significantly, rising by 7.33%, while severe conflicts experienced a slight increase of 0.23%. Under the ND, CP, and EP scenarios, the spatial and temporal dynamics of future land use conflicts varied. However, the study area was predominantly characterized by general conflicts in both 2030 and 2050. In 2030, the proportions of spatial units experiencing general conflicts in the three scenarios are projected to be 61.20%, 60.39%, and 57.51%, respectively. In comparison, these proportions are projected to be 59.24%, 62.70%, and 56.29% in 2050, respectively. The anticipated future changes in land use spatial conflicts vary across different scenarios. Notably, the ND scenario indicates a rising conflict level in the study area over the next 30 years, with an overall increase of 0.03 in the mean value. In contrast, the changes in the index under the CP and EP scenarios are relatively stable.

Suggested Citation

  • Yunfei Ma & Yusuyunjiang Mamitimin & Ailijiang Nuerla, 2025. "Identification and Prediction of Land Use Spatial Conflicts in Urban Agglomeration on the Northern Slope of Tianshan Mountains Under the Background of Urbanization," Land, MDPI, vol. 14(2), pages 1-27, January.
  • Handle: RePEc:gam:jlands:v:14:y:2025:i:2:p:228-:d:1573655
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/14/2/228/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/14/2/228/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Guanglong Dong & Zengyu Sun & Wei Li & Keqiang Wang & Chenzhao Yuan, 2024. "Identification of Potential Land Use Conflicts in Shandong Province: A New Framework," Land, MDPI, vol. 13(8), pages 1-21, August.
    2. Yang, Xin & Zheng, Xin-Qi & Chen, Rui, 2014. "A land use change model: Integrating landscape pattern indexes and Markov-CA," Ecological Modelling, Elsevier, vol. 283(C), pages 1-7.
    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. Hashem Dadashpoor & Neda Malekzadeh & Sadegh Saeidishirvan, 2023. "A typology of metropolitan spatial structure: a systematic review," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(12), pages 13667-13693, December.
    2. Yusuyunjiang Mamitimin & Zibibula Simayi & Ayinuer Mamat & Bumairiyemu Maimaiti & Yunfei Ma, 2023. "FLUS Based Modeling of the Urban LULC in Arid and Semi-Arid Region of Northwest China: A Case Study of Urumqi City," Sustainability, MDPI, vol. 15(6), pages 1-14, March.
    3. Yuhan Yu & Mengmeng Yu & Lu Lin & Jiaxin Chen & Dongjie Li & Wenting Zhang & Kai Cao, 2019. "National Green GDP Assessment and Prediction for China Based on a CA-Markov Land Use Simulation Model," Sustainability, MDPI, vol. 11(3), pages 1-19, January.
    4. Yiting Chen & Zhanbin Li & Peng Li & Yixin Zhang & Hailiang Liu & Jinjin Pan, 2022. "Impacts and Projections of Land Use and Demographic Changes on Ecosystem Services: A Case Study in the Guanzhong Region, China," Sustainability, MDPI, vol. 14(5), pages 1-20, March.
    5. Yi Lu & Xiangrong Wang & Yujing Xie & Kun Li & Yiyang Xu, 2016. "Integrating Future Land Use Scenarios to Evaluate the Spatio-Temporal Dynamics of Landscape Ecological Security," Sustainability, MDPI, vol. 8(12), pages 1-20, November.
    6. Yaya Tian & Guanghui Jiang & Dingyang Zhou & Tao Zhou & Wenqiu Ma, 2022. "A Refined Rural Settlements Simulation Considering the Competition Relationship among the Internal Land Use Types: A Case Study of Pinggu District," Land, MDPI, vol. 11(5), pages 1-19, April.
    7. Ge Shi & Nan Jiang & Lianqiu Yao, 2018. "Land Use and Cover Change during the Rapid Economic Growth Period from 1990 to 2010: A Case Study of Shanghai," Sustainability, MDPI, vol. 10(2), pages 1-15, February.
    8. Shilei Wang & Yanbo Qu & Weiying Zhao & Mei Guan & Zongli Ping, 2022. "Evolution and Optimization of Territorial-Space Structure Based on Regional Function Orientation," Land, MDPI, vol. 11(4), pages 1-26, March.
    9. Mustafa, Ahmed & Cools, Mario & Saadi, Ismaïl & Teller, Jacques, 2017. "Coupling agent-based, cellular automata and logistic regression into a hybrid urban expansion model (HUEM)," Land Use Policy, Elsevier, vol. 69(C), pages 529-540.
    10. Nij Tontisirin & Sutee Anantsuksomsri, 2021. "Economic Development Policies and Land Use Changes in Thailand: From the Eastern Seaboard to the Eastern Economic Corridor," Sustainability, MDPI, vol. 13(11), pages 1-20, May.
    11. Shixiong Yan & Yuannan Long & Huaiguang He & Xiaofeng Wen & Qian Lv & Moruo Zheng, 2023. "Flood response to urban expansion in the Lushui River Basin," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 115(1), pages 779-805, January.
    12. Yongyu Zhao & Alimujiang Kasimu & Hongwu Liang & Rukeya Reheman, 2022. "Construction and Restoration of Landscape Ecological Network in Urumqi City Based on Landscape Ecological Risk Assessment," Sustainability, MDPI, vol. 14(13), pages 1-21, July.
    13. Jie Liu & Lang Zhang & Qingping Zhang, 2019. "The Development Simulation of Urban Green Space System Layout Based on the Land Use Scenario: A Case Study of Xuchang City, China," Sustainability, MDPI, vol. 12(1), pages 1-19, December.
    14. Zhuzhou Zhuang & Kaiyuan Li & Jiaxun Liu & Qianwen Cheng & Yu Gao & Jinxia Shan & Lingyan Cai & Qiuhao Huang & Yanming Chen & Dong Chen, 2016. "China’s New Urban Space Regulation Policies: A Study of Urban Development Boundary Delineations," Sustainability, MDPI, vol. 9(1), pages 1-16, December.
    15. Chenmingyang Jiang & Xinyu Du & Jun Cai & Hao Li & Qibing Chen, 2024. "Study on the Evolution and Prediction of Land Use and Landscape Patterns in the Jianmen Shu Road Heritage Area," Land, MDPI, vol. 13(12), pages 1-22, December.
    16. Haoran Wang & Mengdi Zhang & Chuanying Wang & Kaiyue Wang & Chen Wang & Yang Li & Xiuling Bai & Yunkai Zhou, 2022. "Spatial and Temporal Changes of Landscape Patterns and Their Effects on Ecosystem Services in the Huaihe River Basin, China," Land, MDPI, vol. 11(4), pages 1-19, April.
    17. Siqi Liu & Qing Yu & Chen Wei, 2019. "Spatial-Temporal Dynamic Analysis of Land Use and Landscape Pattern in Guangzhou, China: Exploring the Driving Forces from an Urban Sustainability Perspective," Sustainability, MDPI, vol. 11(23), pages 1-20, November.
    18. Chunyang Zhang & Junjie Chen, 2023. "Spatial Morphology Optimization of Rural Planning Based on Space of Flow: An Empirical Study of Zepan Village in China," Land, MDPI, vol. 12(4), pages 1-23, April.
    19. Zhuo Wu & Quansheng Ge & Erfu Dai, 2017. "Modeling the Relative Contributions of Land Use Change and Harvest to Forest Landscape Change in the Taihe County, China," Sustainability, MDPI, vol. 9(5), pages 1-17, April.
    20. Rong Lin & Yujing Wu & Yuqiu Wu & Ran Wu & Jing Yang, 2025. "Park City 2035: Analysis of Policy-Driven Urban Expansion and Heat Island Effects Under Scenario Simulation," Land, MDPI, vol. 14(3), pages 1-25, 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:jlands:v:14:y:2025:i:2:p:228-:d:1573655. 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.