IDEAS home Printed from https://ideas.repec.org/a/eee/lauspo/v117y2022ics0264837722001399.html
   My bibliography  Save this article

Land space optimization of urban-agriculture-ecological functions in the Changsha-Zhuzhou-Xiangtan Urban Agglomeration, China

Author

Listed:
  • Ouyang, Xiao
  • Xu, Jun
  • Li, Jiayu
  • Wei, Xiao
  • Li, Yonghui

Abstract

Evaluating urban-agriculture-ecological space is useful in optimizing land space and high-quality socio-economic development. This study evaluated urban development and ecological protection in an urban agglomeration and delineated the ecological security pattern for the sustainable use of land spaces. Using the Changsha-Zhuzhou-Xiangtan (CZT) urban agglomeration as study area, system dynamics (SD) model, cellular automaton (CA), and artificial neural network (ANN) were utilized to simulate the variation trends of urban development space, ecological space, and urban agricultural space for 2019–2035 under different development scenarios (status-quo, economic-centric, environment-centric, and coordinated equilibrium). The highlights of results are as follows: (1) The combined effects of the economy, nature, accessibility, and spillover effects exerted significant impact on urban land expansion. Socio-economic variables and spillover effect constitute the main controlling factors of land space expansion. (2) The urban construction space of the CZT urban agglomeration would vary for the different development scenarios. During the simulation period, urban construction space in the study area would be 1572.06 km2 for the status-quo scenario, 1763.27 km2 for the economic-centric scenario, 1634.13 km2 for the environment-centric scenario, and 1668.69 km2 for the coordinated equilibrium scenario. (3) The growth boundary of the urban agglomeration was demarcated based on the spatial attributes, land-use functions, and clustering. The rigid growth boundary was estimated at 3686 km2, while the flexible growth boundary was estimated to be 1794.53 km2. These values can be used to guide planning, policies, and strategies for the orderly expansion of urban land in future development.

Suggested Citation

  • Ouyang, Xiao & Xu, Jun & Li, Jiayu & Wei, Xiao & Li, Yonghui, 2022. "Land space optimization of urban-agriculture-ecological functions in the Changsha-Zhuzhou-Xiangtan Urban Agglomeration, China," Land Use Policy, Elsevier, vol. 117(C).
    • Handle: RePEc:eee:lauspo:v:117:y:2022:i:c:s0264837722001399
    DOI: 10.1016/j.landusepol.2022.106112
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264837722001399
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.landusepol.2022.106112?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. Cunha, Elias Rodrigues da & Santos, Celso Augusto Guimarães & Silva, Richarde Marques da & Bacani, Vitor Matheus & Pott, Arnildo, 2021. "Future scenarios based on a CA-Markov land use and land cover simulation model for a tropical humid basin in the Cerrado/Atlantic forest ecotone of Brazil," Land Use Policy, Elsevier, vol. 101(C).
    2. Zhu, Xinhua & Qian, Tiannan & Wei, Yigang, 2020. "Do high-speed railways accelerate urban land expansion in China? A study based on the multi-stage difference-in-differences model," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    3. Liu, Yansui & Zhou, Yang, 2021. "Territory spatial planning and national governance system in China," Land Use Policy, Elsevier, vol. 102(C).
    4. Xiao Ouyang & Zhenbo Wang & Xiang Zhu, 2019. "Construction of the Ecological Security Pattern of Urban Agglomeration under the Framework of Supply and Demand of Ecosystem Services Using Bayesian Network Machine Learning: Case Study of the Changsh," Sustainability, MDPI, vol. 11(22), pages 1-16, November.
    5. Guzman, Luis A. & Escobar, Francisco & Peña, Javier & Cardona, Rafael, 2020. "A cellular automata-based land-use model as an integrated spatial decision support system for urban planning in developing cities: The case of the Bogotá region," Land Use Policy, Elsevier, vol. 92(C).
    6. Menzori, Ivan Damasco & Sousa, Isabel Cristina Nunes de & Gonçalves, Luciana Márcia, 2021. "Urban growth management and territorial governance approaches: A master plans conformance analysis," Land Use Policy, Elsevier, vol. 105(C).
    7. Li, Yurui & Li, Yi & Karácsonyi, Dávid & Liu, Zhengjia & Wang, Yongsheng & Wang, Jieyong, 2020. "Spatio-temporal pattern and driving forces of construction land change in a poverty-stricken county of China and implications for poverty-alleviation-oriented land use policies," Land Use Policy, Elsevier, vol. 91(C).
    8. Yang, Yuanyuan & Bao, Wenkai & Liu, Yansui, 2020. "Scenario simulation of land system change in the Beijing-Tianjin-Hebei region," Land Use Policy, Elsevier, vol. 96(C).
    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. Weiping Wu & Wenhua Xie & Yuwei Sun, 2024. "Spatiotemporal pattern evolution and influencing factors of population spatial distribution in Changsha-Zhuzhou-Xiangtan urban agglomeration, China," Journal of Regional Economics, Anser Press, vol. 3(1), pages 1-16, January.
    2. Muxin Jia & Ang Liu & Taro Narahara, 2024. "The Integration of Dual Evaluation and Minimum Spanning Tree Clustering to Support Decision-Making in Territorial Spatial Planning," Sustainability, MDPI, vol. 16(10), pages 1-20, May.
    3. Haitao Ji & Xiaoshun Li & Yiwei Geng & Xin Chen & Yuexiang Wang & Jumei Cheng & Zhuang Chen, 2023. "Delineation of Urban Development Boundary and Carbon Emission Effects in Xuzhou City, China," Land, MDPI, vol. 12(9), pages 1-16, September.
    4. Jia Zhao & Yuluan Zhao & Xiaopiao Yang, 2022. "Evolution Characteristics and Driving Mechanism of the Territorial Space Pattern in the Yangtze River Economic Belt, China," Land, MDPI, vol. 11(9), pages 1-29, September.
    5. Ning Xu & Desen Zhao & Wenjie Zhang & He Zhang & Wanxu Chen & Min Ji & Ming Liu, 2022. "Innovation-Driven Development and Urban Land Low-Carbon Use Efficiency: A Policy Assessment from China," Land, MDPI, vol. 11(10), pages 1-21, September.
    6. Jun Fu & Rui Ding & Yilin Zhang & Tao Zhou & Yiming Du & Yuqi Zhu & Linyu Du & Lina Peng & Jian Zou & Wenqian Xiao, 2022. "The Spatial-Temporal Transition and Influencing Factors of Green and Low-Carbon Utilization Efficiency of Urban Land in China under the Goal of Carbon Neutralization," IJERPH, MDPI, vol. 19(23), pages 1-25, December.

    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. Pengrui Wang & Chen Zeng & Yan Song & Long Guo & Wenping Liu & Wenting Zhang, 2021. "The Spatial Effect of Administrative Division on Land-Use Intensity," Land, MDPI, vol. 10(5), pages 1-18, May.
    2. Yabo Zhao & Dixiang Xie & Xiwen Zhang & Shifa Ma, 2021. "Integrating Spatial Markov Chains and Geographically Weighted Regression-Based Cellular Automata to Simulate Urban Agglomeration Growth: A Case Study of the Guangdong–Hong Kong–Macao Greater Bay Area," Land, MDPI, vol. 10(6), pages 1-19, June.
    3. Xueping Su & Yong Zhou & Qing Li, 2021. "Designing Ecological Security Patterns Based on the Framework of Ecological Quality and Ecological Sensitivity: A Case Study of Jianghan Plain, China," IJERPH, MDPI, vol. 18(16), pages 1-32, August.
    4. Qihao Wang & Dongya Liu & Feiyao Gao & Xinqi Zheng & Yiqun Shang, 2023. "A Partitioned and Heterogeneous Land-Use Simulation Model by Integrating CA and Markov Model," Land, MDPI, vol. 12(2), pages 1-20, February.
    5. Li, Xiang & Cheng, Zhonghua, 2022. "Does high-speed rail improve urban carbon emission efficiency in China?," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    6. Yan, Sen & Sun, Xinyu & Zhang, Yurong, 2024. "High-speed railway ripples on the greenness: Insight from urban green vegetation cover," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
    7. Shuangqing Sheng & Wei Song & Hua Lian & Lei Ning, 2022. "Review of Urban Land Management Based on Bibliometrics," Land, MDPI, vol. 11(11), pages 1-25, November.
    8. Dong Chen & Rongrong Liu & Maoxian Zhou, 2023. "Delineation of Urban Growth Boundary Based on Habitat Quality and Carbon Storage: A Case Study of Weiyuan County in Gansu, China," Land, MDPI, vol. 12(5), pages 1-17, May.
    9. 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).
    10. Daniel Oviedo & Luis A. Guzman, 2020. "Revisiting Accessibility in a Context of Sustainable Transport: Capabilities and Inequalities in Bogotá," Sustainability, MDPI, vol. 12(11), pages 1-22, June.
    11. Jinping Lin & Meiqi Zhou & Huasong Luo & Bowen Zhang & Jiajia Feng & Qi Yi, 2022. "Analysis of the Emotional Identification Mechanism of Campus Edible Landscape from the Perspective of Emotional Geography: An Empirical Study of a Chinese University Town," IJERPH, MDPI, vol. 19(18), pages 1-16, September.
    12. Andrew Allan & Ali Soltani & Mohammad Hamed Abdi & Melika Zarei, 2022. "Driving Forces behind Land Use and Land Cover Change: A Systematic and Bibliometric Review," Land, MDPI, vol. 11(8), pages 1-20, August.
    13. Yu, Zhenning & She, Shuoqi & Xia, Chuyu & Luo, Jiaojiao, 2023. "How to solve the dilemma of China’s land fallow policy: Application of voluntary bidding mode in the Yangtze River Delta of China," Land Use Policy, Elsevier, vol. 125(C).
    14. Junnan Xia & Mengyao Hong & Wei Wei, 2023. "Changes and Driving Forces of Urban–Agricultural–Ecological Space in the Yangtze River Economic Belt from 2000 to 2020," Land, MDPI, vol. 12(5), pages 1-17, May.
    15. Lijuan Zhang & Tatyana Ponomarenko, 2023. "Directions for Sustainable Development of China’s Coal Industry in the Post-Epidemic Era," Sustainability, MDPI, vol. 15(8), pages 1-32, April.
    16. Jiao Zhang & Qian Wang & Yiping Xia & Katsunori Furuya, 2022. "Knowledge Map of Spatial Planning and Sustainable Development: A Visual Analysis Using CiteSpace," Land, MDPI, vol. 11(3), pages 1-24, February.
    17. Zhenzhen Yuan & Weijie Li & Yong Wang & Dayun Zhu & Qiuhong Wang & Yan Liu & Lingyan Zhou, 2022. "Ecosystem Health Evaluation and Ecological Security Patterns Construction Based on VORSD and Circuit Theory: A Case Study in the Three Gorges Reservoir Region in Chongqing, China," IJERPH, MDPI, vol. 20(1), pages 1-19, December.
    18. Zhang, Bangbang & Li, Xian & Chen, Haibin & Niu, Wenhao & Kong, Xiangbin & Yu, Qiang & Zhao, Minjuan & Xia, Xianli, 2022. "Identifying opportunities to close yield gaps in China by use of certificated cultivars to estimate potential productivity," Land Use Policy, Elsevier, vol. 117(C).
    19. Zhiwei Deng & Bin Quan, 2022. "Intensity Characteristics and Multi-Scenario Projection of Land Use and Land Cover Change in Hengyang, China," IJERPH, MDPI, vol. 19(14), pages 1-18, July.
    20. Jian, Yuqing & Liu, Zhengjia & Gong, Jianzhou, 2022. "Response of landscape dynamics to socio-economic development and biophysical setting across the farming-pastoral ecotone of northern China and its implications for regional sustainable land management," Land Use Policy, Elsevier, vol. 122(C).

    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:eee:lauspo:v:117:y:2022:i:c:s0264837722001399. 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: Joice Jiang (email available below). General contact details of provider: https://www.journals.elsevier.com/land-use-policy .

    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.