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Delineation of Urban Development Boundary and Carbon Emission Effects in Xuzhou City, China

Author

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  • Haitao Ji

    (School of Public Policy and Management, China University of Mining and Technology, Xuzhou 221116, China)

  • Xiaoshun Li

    (School of Public Policy and Management, China University of Mining and Technology, Xuzhou 221116, China
    Research Center for Transition Development and Rural Revitalization of Resource-Based Cities in China, China University of Mining and Technology, Xuzhou 221116, China)

  • Yiwei Geng

    (School of Public Policy and Management, China University of Mining and Technology, Xuzhou 221116, China)

  • Xin Chen

    (Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China
    Institute of Loess Plateau, Shanxi University, Taiyuan 030006, China)

  • Yuexiang Wang

    (School of Public Policy and Management, China University of Mining and Technology, Xuzhou 221116, China)

  • Jumei Cheng

    (School of Public Policy and Management, China University of Mining and Technology, Xuzhou 221116, China)

  • Zhuang Chen

    (School of Public Policy and Management, China University of Mining and Technology, Xuzhou 221116, China)

Abstract

Urban development boundary (UDB) has always served as a crucial aspect of urban sprawl research. The objective of this paper is to investigate boundary delineation and carbon emission effects. Firstly, we examined the patterns of land use changes. Additionally, this paper utilized the FLUS model and land use carbon emission calculation model to delineate UDB and calculate carbon emission effects within UDB under typical scenarios. The research results are as follows: (1) Xuzhou city witnessed a significant increase in both forest land and construction land from 2010 to 2020. (2) Under the CPS, the area of cultivated land increased by 217.05 km 2 compared to the NDS. The UDB area under the NDS and CPS was 971.50 km 2 and 968.99 km 2 , respectively. (3) Compared to the NDS, the CPS led to a net carbon emission increase of 4759.93 t within the UDB. Therefore, we should enhance the carbon sequestration and emission reduction capacity of the agricultural system. This study is beneficial for expanding the depth of research on the UDB and guiding the low-carbon urban development. We sincerely encourage readers to download this paper to improve this paper.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:9:p:1819-:d:1245041
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    References listed on IDEAS

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    1. Shanshan Guo & Yanfang Zhang & Xiangyan Qian & Zhang Ming & Rui Nie, 2019. "Urbanization and CO2 emissions in resource-exhausted cities: evidence from Xuzhou city, China," 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. 99(2), pages 807-826, November.
    2. Mathur, Shishir, 2019. "Impact of an urban growth boundary across the entire house price spectrum: The two-stage quantile spatial regression approach," Land Use Policy, Elsevier, vol. 80(C), pages 88-94.
    3. Liu, Xiaoping & Ou, Jinpei & Li, Xia & Ai, Bin, 2013. "Combining system dynamics and hybrid particle swarm optimization for land use allocation," Ecological Modelling, Elsevier, vol. 257(C), pages 11-24.
    4. Cai, Bofeng & Liu, Helin & Zhang, Xiaoling & Pan, Haozhi & Zhao, Mengxue & Zheng, Tianming & Nie, Jingxin & Du, Mengbing & Dhakal, Shobhakar, 2022. "High-resolution accounting of urban emissions in China," Applied Energy, Elsevier, vol. 325(C).
    5. 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).
    6. Shlomo Angel, 2017. "Urban Forms and Future Cities: A Commentary," Urban Planning, Cogitatio Press, vol. 2(1), pages 1-5.
    7. Huang, Daquan & Huang, Jing & Liu, Tao, 2019. "Delimiting urban growth boundaries using the CLUE-S model with village administrative boundaries," Land Use Policy, Elsevier, vol. 82(C), pages 422-435.
    8. Xu, Hongtao & Song, Youcheng & Tian, Yi, 2022. "Simulation of land-use pattern evolution in hilly mountainous areas of North China: A case study in Jincheng," Land Use Policy, Elsevier, vol. 112(C).
    9. Tan, Ronghui & Liu, Pengcheng & Zhou, Kehao & He, Qingsong, 2022. "Evaluating the effectiveness of development-limiting boundary control policy: Spatial difference-in-difference analysis," Land Use Policy, Elsevier, vol. 120(C).
    10. Michael Ball & Melek Cigdem & Elizabeth Taylor & Gavin Wood, 2014. "Urban Growth Boundaries and their Impact on Land Prices," Environment and Planning A, , vol. 46(12), pages 3010-3026, December.
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