IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v11y2022i5p661-d805516.html
   My bibliography  Save this article

A Refined Rural Settlements Simulation Considering the Competition Relationship among the Internal Land Use Types: A Case Study of Pinggu District

Author

Listed:
  • Yaya Tian

    (State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
    School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

  • Guanghui Jiang

    (State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
    School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

  • Dingyang Zhou

    (State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
    School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

  • Tao Zhou

    (State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
    School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

  • Wenqiu Ma

    (College of Engineering, China Agricultural University, Beijing 100091, China)

Abstract

Simulating the future evolution of the internal land use structure of rural settlements (RSILUS) is vital for rural land management. However, previous simulation studies have mostly regarded rural settlements as a whole, thereby ignoring their internal structural variations. In this paper, as an example, we select Pinggu District, which has experienced the impact of rapid urbanization and has an unstable rural land use structure (LUS); then, we examine the driving factors of the changes in the RSILUS, construct a cellular automata (CA)–Markov simulation model specifying the RSILUS, and simulate its changes in 2025. The results indicate the following. (1) The influencing factors of various land use changes in rural settlements in Pinggu District differ significantly. Basic land, such as living functional land, is greatly influenced by natural resources, whereas production functional land is subject to socioeconomic factors. (2) The simulation results demonstrate that from 2015 to 2025, the production and living functional land areas of rural settlements will decrease as a whole. Accordingly, the distribution of rural public service land (RPSL) will tend to remain stable, and the trends of land use abandonment and functional degradation will continue as rural areas continue to recede. Our study enriches the research on rural land use systems by refining the simulation of rural settlements to focus on their internal structure. The differentiation and complexity of the changes in rural LUS types further suggests that rural planning and renewal should adapt to the changing conditions of the RSILUS, and the LUS should be adjusted to improve the constructed environment in human settlements and equalize urban and rural areas.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:5:p:661-:d:805516
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/11/5/661/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/11/5/661/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Alcock, Rowan, 2019. "The New Rural Reconstruction Movement: A Chinese degrowth style movement?," Ecological Economics, Elsevier, vol. 161(C), pages 261-269.
    2. Mansour, Shawky & Al-Belushi, Mohammed & Al-Awadhi, Talal, 2020. "Monitoring land use and land cover changes in the mountainous cities of Oman using GIS and CA-Markov modelling techniques," Land Use Policy, Elsevier, vol. 91(C).
    3. 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)

    Citations

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


    Cited by:

    1. Qinglei Zhao & Guanghui Jiang & Wenqiu Ma & Yuting Yang & Tao Zhou, 2023. "The Resource Potential and Optimization of Rural Housing Land under Utility Structure Evaluation in Metropolitan Suburbs Villages of China," Land, MDPI, vol. 12(3), pages 1-21, March.
    2. Lisha Tang & Yingqian Huang & Yanfeng Jiang & Dedong Feng, 2023. "The Spatial Association of Rural Human Settlement System Resilience with Land Use in Hunan Province, China, 2000–2020," Land, MDPI, vol. 12(8), pages 1-18, July.

    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. Wang, Quan & Wang, Haijun & Chang, Ruihan & Zeng, Haoran & Bai, Xuepiao, 2022. "Dynamic simulation patterns and spatiotemporal analysis of land-use/land-cover changes in the Wuhan metropolitan area, China," Ecological Modelling, Elsevier, vol. 464(C).
    2. Valeria Andreoni, 2020. "The Trap of Success: A Paradox of Scale for Sharing Economy and Degrowth," Sustainability, MDPI, vol. 12(8), pages 1-17, April.
    3. Qing Liu & Dongdong Yang & Lei Cao & Bruce Anderson, 2022. "Assessment and Prediction of Carbon Storage Based on Land Use/Land Cover Dynamics in the Tropics: A Case Study of Hainan Island, China," Land, MDPI, vol. 11(2), pages 1-24, February.
    4. Zhang, Zuo & Li, Jiaming, 2022. "Spatial suitability and multi-scenarios for land use: Simulation and policy insights from the production-living-ecological perspective," Land Use Policy, Elsevier, vol. 119(C).
    5. Abdulaziz I. Almulhim & Simon Elias Bibri & Ayyoob Sharifi & Shakil Ahmad & Khalid Mohammed Almatar, 2022. "Emerging Trends and Knowledge Structures of Urbanization and Environmental Sustainability: A Regional Perspective," Sustainability, MDPI, vol. 14(20), pages 1-23, October.
    6. Yangyang Yuan & Yuchen Yang & Ruijun Wang & Yuning Cheng, 2022. "Predicting Rural Ecological Space Boundaries in the Urban Fringe Area Based on Bayesian Network: A Case Study in Nanjing, China," Land, MDPI, vol. 11(11), pages 1-24, October.
    7. Milad Asadi & Amir Oshnooei-Nooshabadi & Samira-Sadat Saleh & Fattaneh Habibnezhad & Sonia Sarafraz-Asbagh & John Lodewijk Van Genderen, 2022. "Urban Sprawl Simulation Mapping of Urmia (Iran) by Comparison of Cellular Automata–Markov Chain and Artificial Neural Network (ANN) Modeling Approach," Sustainability, MDPI, vol. 14(23), pages 1-16, November.
    8. Han, Yu & Jia, Haifeng, 2017. "Simulating the spatial dynamics of urban growth with an integrated modeling approach: A case study of Foshan, China," Ecological Modelling, Elsevier, vol. 353(C), pages 107-116.
    9. Changqing Sun & Yulong Bao & Battsengel Vandansambuu & Yuhai Bao, 2022. "Simulation and Prediction of Land Use/Cover Changes Based on CLUE-S and CA-Markov Models: A Case Study of a Typical Pastoral Area in Mongolia," Sustainability, MDPI, vol. 14(23), pages 1-21, November.
    10. 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.
    11. Ruci Wang & Ahmed Derdouri & Yuji Murayama, 2018. "Spatiotemporal Simulation of Future Land Use/Cover Change Scenarios in the Tokyo Metropolitan Area," Sustainability, MDPI, vol. 10(6), pages 1-18, June.
    12. Tianlin Zhai & Jing Wang & Ying Fang & Jingjing Liu & Longyang Huang & Kun Chen & Chenchen Zhao, 2021. "Identification and Prediction of Wetland Ecological Risk in Key Cities of the Yangtze River Economic Belt: From the Perspective of Land Development," Sustainability, MDPI, vol. 13(1), pages 1-17, January.
    13. 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.
    14. Yunzhi Zhang & Tongyan Zheng & Chen Yu & Jing Ren & Xuegang Gong & Hao Wang & Yihao Duan, 2023. "Multi-Perspective Analysis of Land Changes in the Transitional Zone between the Mu Us Desert and the Loess Plateau in China from 2000 to 2020," Land, MDPI, vol. 12(5), pages 1-16, May.
    15. Yanan Li & Linghua Duo & Ming Zhang & Zhenhua Wu & Yanjun Guan, 2021. "Assessment and Estimation of the Spatial and Temporal Evolution of Landscape Patterns and Their Impact on Habitat Quality in Nanchang, China," Land, MDPI, vol. 10(10), pages 1-19, October.
    16. Bao Meng & Xuxi Wang & Zhifeng Zhang & Pei Huang, 2022. "Spatio-Temporal Pattern and Driving Force Evolution of Cultivated Land Occupied by Urban Expansion in the Chengdu Metropolitan Area," Land, MDPI, vol. 11(9), pages 1-17, September.
    17. 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.
    18. Hebing Zhang & Qingqing Yan & Fangfang Xie & Shouchen Ma, 2023. "Evaluation and Prediction of Landscape Ecological Security Based on a CA-Markov Model in Overlapped Area of Crop and Coal Production," Land, MDPI, vol. 12(1), pages 1-18, January.
    19. 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.
    20. Yang Gao & Zhen Shen & Yuexin Liu & Chaoyue Yu & Lihan Cui & Cuiling Song, 2023. "Optimization of differentiated regional land development patterns based on urban expansion simulation—A case in China," Growth and Change, Wiley Blackwell, vol. 54(1), pages 45-73, 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:11:y:2022:i:5:p:661-:d:805516. 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.