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How to Realize Synergistic Emission Reduction in Future Urban Agglomerations: Spatial Planning Approaches to Reducing Carbon Emissions from Land Use: A Case Study of the Beijing–Tianjin–Hebei Region

Author

Listed:
  • Haoran Li

    (School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China)

  • Yang Liu

    (School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China)

  • Yixiao Li

    (School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China)

  • Xiaoxi Li

    (School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China)

  • Shuyi Yan

    (School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China
    The Collaborative Innovation Center of the Beijing–Tianjin–Hebei, National Forestry and Grassland Administration, Beijing 100080, China)

  • Xi Zheng

    (School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China
    The Collaborative Innovation Center of the Beijing–Tianjin–Hebei, National Forestry and Grassland Administration, Beijing 100080, China)

Abstract

Land use changes in rapidly urbanizing regions around the world constitute a principal anthropogenic element fueling the surge in carbon emissions. Here, land use patterns within the Beijing–Tianjin–Hebei (BTH) urban agglomeration under low-carbon development (LCD) scenarios were simulated. Additionally, social network analysis was employed to formulate carbon balance planning guidelines for various administrative regions. (1) In the ecological protection scenario, carbon emissions from land use were 643.42 × 10 4 tons lower compared to the natural development scenario. Counties with high ecological support coefficients accounted for 22%, making them better suited for predicting outcomes related to low-carbon-oriented land use. (2) The spatial connections of carbon emissions in BTH were closely related, forming the three main carbon emission spatial linkage areas. (3) A carbon balance zoning plan for the BTH in 2035 under the LCD scenario was formulated. Furthermore, key areas for the implementation of carbon peak and carbon neutrality projects were delineated, and targeted measures for carbon reduction and sink increase were proposed. This study provides a new perspective for implementing territorial spatial planning in Chinese urban agglomerations and can aid the government in formulating a reasonable low-carbon-oriented regional planning policy.

Suggested Citation

  • Haoran Li & Yang Liu & Yixiao Li & Xiaoxi Li & Shuyi Yan & Xi Zheng, 2024. "How to Realize Synergistic Emission Reduction in Future Urban Agglomerations: Spatial Planning Approaches to Reducing Carbon Emissions from Land Use: A Case Study of the Beijing–Tianjin–Hebei Region," Land, MDPI, vol. 13(4), pages 1-28, April.
  • Handle: RePEc:gam:jlands:v:13:y:2024:i:4:p:554-:d:1379879
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    1. Alex Antonio Florindo & Ligia Vizeu Barrozo & Gavin Turrell & João Paulo dos Anjos Souza Barbosa & William Cabral-Miranda & Chester Luiz Galvão Cesar & Moisés Goldbaum, 2018. "Cycling for Transportation in Sao Paulo City: Associations with Bike Paths, Train and Subway Stations," IJERPH, MDPI, vol. 15(4), pages 1-12, March.
    2. Hurlimann, Anna & Moosavi, Sareh & Browne, Geoffrey R., 2021. "Urban planning policy must do more to integrate climate change adaptation and mitigation actions," Land Use Policy, Elsevier, vol. 101(C).
    3. Meng, Lina & Graus, Wina & Worrell, Ernst & Huang, Bo, 2014. "Estimating CO2 (carbon dioxide) emissions at urban scales by DMSP/OLS (Defense Meteorological Satellite Program's Operational Linescan System) nighttime light imagery: Methodological challenges and a case study for China," Energy, Elsevier, vol. 71(C), pages 468-478.
    4. Wang, Chao & Zhan, Jinyan & Xin, Zhongling, 2020. "Comparative analysis of urban ecological management models incorporating low-carbon transformation," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    5. Xuanwei Ning & Yushuang He & Jiayi Zhang & Chengliang Wu & Yang Zhang, 2023. "Analysis of Carbon Emission Projections and Reduction Potential of Resource-Dependent Urban Agglomerations from the Perspective of Multiple Scenarios—A Case Study of Hu-Bao-O-Yu Urban Agglomeration," IJERPH, MDPI, vol. 20(5), pages 1-25, February.
    6. Deborah Heinen, 2022. "Growth management for low-carbon development patterns – leverages in state planning enabling legislation," Urban Research & Practice, Taylor & Francis Journals, vol. 15(1), pages 71-93, January.
    7. Tianqi Rong & Pengyan Zhang & Wenlong Jing & Yu Zhang & Yanyan Li & Dan Yang & Jiaxin Yang & Hao Chang & Linna Ge, 2020. "Carbon Dioxide Emissions and Their Driving Forces of Land Use Change Based on Economic Contributive Coefficient (ECC) and Ecological Support Coefficient (ESC) in the Lower Yellow River Region (1995–2018)," Energies, MDPI, vol. 13(10), pages 1-18, May.
    8. Sune Djurhuus & Henning S. Hansen & Mette Aadahl & Charlotte Glümer, 2014. "The Association between Access to Public Transportation and Self-Reported Active Commuting," IJERPH, MDPI, vol. 11(12), pages 1-20, December.
    9. Caixia Liu & Rui Xu & Kaiji Xu & Yiwen Lin & Yingui Cao, 2023. "Carbon Emission Effects of Land Use in Chaobai River Region of Beijing–Tianjin–Hebei, China," Land, MDPI, vol. 12(6), pages 1-23, June.
    10. Runde Gu & Chunfa Li & Dongdong Li & Yangyang Yang & Shan Gu, 2022. "The Impact of Rationalization and Upgrading of Industrial Structure on Carbon Emissions in the Beijing-Tianjin-Hebei Urban Agglomeration," IJERPH, MDPI, vol. 19(13), pages 1-16, June.
    11. He, K. & Lei, Y. & Pan, X. & Zhang, Y. & Zhang, Q. & Chen, D., 2010. "Co-benefits from energy policies in China," Energy, Elsevier, vol. 35(11), pages 4265-4272.
    12. Dong, Liang & Liang, Hanwei & Zhang, Liguo & Liu, Zhaowen & Gao, Zhiqiu & Hu, Mingming, 2017. "Highlighting regional eco-industrial development: Life cycle benefits of an urban industrial symbiosis and implications in China," Ecological Modelling, Elsevier, vol. 361(C), pages 164-176.
    13. Mercedes M. C. Bustamante & José Salomão Silva & Aldicir Scariot & Alexandre Bonesso Sampaio & Daniel Luis Mascia & Edenise Garcia & Edson Sano & Geraldo Wilson Fernandes & Giselda Durigan & Iris Roit, 2019. "Ecological restoration as a strategy for mitigating and adapting to climate change: lessons and challenges from Brazil," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 24(7), pages 1249-1270, October.
    14. Dudek, Dan & Golub, Alexander & Strukova, Elena, 2003. "Ancillary Benefits of Reducing Greenhouse Gas Emissions in Transitional Economies," World Development, Elsevier, vol. 31(10), pages 1759-1769, October.
    15. Li, Lei & Ma, Shaojun & Zheng, Yilin & Xiao, Xinyue, 2022. "Integrated regional development: Comparison of urban agglomeration policies in China," Land Use Policy, Elsevier, vol. 114(C).
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