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Optimizing distribution of urban land on the basis of urban land use intensity at prefectural city scale in mainland China

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  • Wang, Liye
  • Zhang, Siyu
  • Tang, Lanping
  • Lu, Yanchi
  • Liu, Yanfang
  • Liu, Yaolin

Abstract

Urban land use intensity (ULUI) reflects the utilization status of urban land use. However, few studies have allocated urban land distribution across provinces or cities based on the ULUI. We propose an optimization method to allocate the urban land based on ULUI to make it effective and decrease the loss of ecosystem services. Using mainland China as the research area, we first estimated ULUI at the prefectural city level in 2015 and evaluated its spatial heterogeneity; urban land distribution in 2030 was then optimized by coupling the estimated ULUI and the LAND System Cellular Automata model for Potential Effects (LANDSCAPE). Specifically, we generated two scenarios: ULUI, and quota (QT). Results showed the following: (1) ULUI demonstrated a spatially heterogenous distribution in 2015. Cities with high ULUI were mainly centralized around urban agglomerations; those with low ULUI were distributed in the northwest and northeast of the research area, where there were economically undeveloped regions. (2) Using optimization, the total economic benefits (EBs) increased and the loss of ecosystem service value (ESV) decreased. Many prefectural cities increased economic output, and reduced ecological losses, even in some rapidly cities. Our research highlights that optimizing urban land based on ULUI is a reasonable method to increase EBs and reduce ESV loss.

Suggested Citation

  • Wang, Liye & Zhang, Siyu & Tang, Lanping & Lu, Yanchi & Liu, Yanfang & Liu, Yaolin, 2022. "Optimizing distribution of urban land on the basis of urban land use intensity at prefectural city scale in mainland China," Land Use Policy, Elsevier, vol. 115(C).
    • Handle: RePEc:eee:lauspo:v:115:y:2022:i:c:s0264837722000643
    DOI: 10.1016/j.landusepol.2022.106037
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    as
    1. Zhou, Bing-Bing & Aggarwal, Rimjhim & Wu, Jianguo & Lv, Ligang, 2021. "Urbanization-associated farmland loss: A macro-micro comparative study in China," Land Use Policy, Elsevier, vol. 101(C).
    2. van Vliet, Jasper & Bregt, Arnold K. & Hagen-Zanker, Alex, 2011. "Revisiting Kappa to account for change in the accuracy assessment of land-use change models," Ecological Modelling, Elsevier, vol. 222(8), pages 1367-1375.
    3. Zhang, Pengyan & Yang, Dan & Qin, Mingzhou & Jing, Wenlong, 2020. "Spatial heterogeneity analysis and driving forces exploring of built-up land development intensity in Chinese prefecture-level cities and implications for future Urban Land intensive use," Land Use Policy, Elsevier, vol. 99(C).
    4. Turkelboom, Francis & Leone, Michael & Jacobs, Sander & Kelemen, Eszter & García-Llorente, Marina & Baró, Francesc & Termansen, Mette & Barton, David N. & Berry, Pam & Stange, Erik & Thoonen, Marijke , 2018. "When we cannot have it all: Ecosystem services trade-offs in the context of spatial planning," Ecosystem Services, Elsevier, vol. 29(PC), pages 566-578.
    5. Yu, Junqing & Zhou, Kaile & Yang, Shanlin, 2019. "Land use efficiency and influencing factors of urban agglomerations in China," Land Use Policy, Elsevier, vol. 88(C).
    6. Xiao-Peng Song & Matthew C. Hansen & Stephen V. Stehman & Peter V. Potapov & Alexandra Tyukavina & Eric F. Vermote & John R. Townshend, 2018. "Global land change from 1982 to 2016," Nature, Nature, vol. 560(7720), pages 639-643, August.
    7. van Vliet, Jasper & Hagen-Zanker, Alex & Hurkens, Jelle & van Delden, Hedwig, 2013. "A fuzzy set approach to assess the predictive accuracy of land use simulations," Ecological Modelling, Elsevier, vol. 261, pages 32-42.
    8. Hualin Xie & Wei Wang, 2015. "Exploring the Spatial-Temporal Disparities of Urban Land Use Economic Efficiency in China and Its Influencing Factors under Environmental Constraints Based on a Sequential Slacks-Based Model," Sustainability, MDPI, vol. 7(8), pages 1-20, July.
    9. 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).
    10. Yang, Xin & Zheng, Xin-Qi & Lv, Li-Na, 2012. "A spatiotemporal model of land use change based on ant colony optimization, Markov chain and cellular automata," Ecological Modelling, Elsevier, vol. 233(C), pages 11-19.
    11. He, Sanwei & Yu, Shan & Li, Guangdong & Zhang, Junfeng, 2020. "Exploring the influence of urban form on land-use efficiency from a spatiotemporal heterogeneity perspective: Evidence from 336 Chinese cities," Land Use Policy, Elsevier, vol. 95(C).
    12. Luc Anselin & Xun Li, 2019. "Operational local join count statistics for cluster detection," Journal of Geographical Systems, Springer, vol. 21(2), pages 189-210, June.
    13. Xiao-Peng Song & Matthew C. Hansen & Stephen V. Stehman & Peter V. Potapov & Alexandra Tyukavina & Eric F. Vermote & John R. Townshend, 2018. "Author Correction: Global land change from 1982 to 2016," Nature, Nature, vol. 563(7732), pages 26-26, November.
    14. Erb, Karl-Heinz & Haberl, Helmut & Jepsen, Martin Rudbeck & Kuemmerle, Tobias & Lindner, Marcus & Müller, Daniel & Verburg, Peter H & Reenberg, Anette, 2013. "A conceptual framework for analysing and measuring land-use intensity," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 5(5), pages 464-470.
    15. Jasper van Vliet, 2019. "Direct and indirect loss of natural area from urban expansion," Nature Sustainability, Nature, vol. 2(8), pages 755-763, August.
    16. Ke, Xinli & van Vliet, Jasper & Zhou, Ting & Verburg, Peter H. & Zheng, Weiwei & Liu, Xiaoping, 2018. "Direct and indirect loss of natural habitat due to built-up area expansion: A model-based analysis for the city of Wuhan, China," Land Use Policy, Elsevier, vol. 74(C), pages 231-239.
    17. Xie, Xue & Fang, Bin & Xu, Hanzeyu & He, Shasha & Li, Xin, 2021. "Study on the coordinated relationship between Urban Land use efficiency and ecosystem health in China," Land Use Policy, Elsevier, vol. 102(C).
    18. Li, Mingquan & Shan, Rui & Hernandez, Mauricio & Mallampalli, Varun & Patiño-Echeverri, Dalia, 2019. "Effects of population, urbanization, household size, and income on electric appliance adoption in the Chinese residential sector towards 2050," Applied Energy, Elsevier, vol. 236(C), pages 293-306.
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