IDEAS home Printed from https://ideas.repec.org/a/eee/lauspo/v99y2020ics0264837719322380.html
   My bibliography  Save this article

A benefit evaluation model for build-up land use in megacity suburban districts

Author

Listed:
  • You, Lie
  • Li, Yurui
  • Wang, Rui
  • Pan, Haozhi

Abstract

In the process of rapid development of megacities, existing cost-benefit evaluation for economic and ecological benefits of urban land use cannot be easily applied to evaluation of suburbs in megacities. In this paper, a benefit evaluation model is constructed to solve this problem on the basis of the “core-edge” theory. A “population-economy-space” triangular element evaluation system and a two-dimensional evaluation system are established. The method compares and differentiates suburban districts and central urban areas. Taking Tianjin, China as an example, this study carries out an empirical evaluation and applies the model to 11 suburban districts. The conclusions of the empirical evaluation are summarized as follows: (1) from the comparative results of similar suburban districts, the horizontal benefits in the districts above the development axis are higher than those in other districts; (2) from the comparative results between the central urban area and suburban districts, the land use benefit level of suburban districts has not increased with the increase in the total amount levels of population and economy, and some have a decreasing trend; (3) from the developmental patterns of suburban districts, most districts are under the model of marginal expansion, which reflects limitations of sub-center city planning and sprawling developmental pattern of build-up land. Our analytical models can facilitate the policy-making related to intensifying land use and optimizing land supply structure.

Suggested Citation

  • You, Lie & Li, Yurui & Wang, Rui & Pan, Haozhi, 2020. "A benefit evaluation model for build-up land use in megacity suburban districts," Land Use Policy, Elsevier, vol. 99(C).
  • Handle: RePEc:eee:lauspo:v:99:y:2020:i:c:s0264837719322380
    DOI: 10.1016/j.landusepol.2020.104861
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264837719322380
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.landusepol.2020.104861?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. Alex Anas & Richard Arnott & Kenneth A. Small, 1998. "Urban Spatial Structure," Journal of Economic Literature, American Economic Association, vol. 36(3), pages 1426-1464, September.
    2. Ma, Li & Long, Hualou & Tu, Shuangshuang & Zhang, Yingnan & Zheng, Yuhan, 2020. "Farmland transition in China and its policy implications," Land Use Policy, Elsevier, vol. 92(C).
    3. Lin Chen & Chunying Ren & Bai Zhang & Zongming Wang & Mingyue Liu, 2018. "Quantifying Urban Land Sprawl and its Driving Forces in Northeast China from 1990 to 2015," Sustainability, MDPI, vol. 10(1), pages 1-18, January.
    4. Zhao, Zhe & Bai, Yuping & Wang, Guofeng & Chen, Jiancheng & Yu, Jiangli & Liu, Wei, 2018. "Land eco-efficiency for new-type urbanization in the Beijing-Tianjin-Hebei Region," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 19-26.
    5. Glaeser, Edward L. & Kahn, Matthew E., 2004. "Sprawl and urban growth," Handbook of Regional and Urban Economics, in: J. V. Henderson & J. F. Thisse (ed.), Handbook of Regional and Urban Economics, edition 1, volume 4, chapter 56, pages 2481-2527, Elsevier.
    6. Bish Sanyal, 2018. "A Planners’ Planner: John Friedmann’s Quest for a General Theory of Planning," Journal of the American Planning Association, Taylor & Francis Journals, vol. 84(2), pages 179-191, April.
    7. Zhang, Ling & Zhang, Lei & Xu, Yan & Zhou, Peng & Yeh, Chung-Hsing, 2020. "Evaluating urban land use efficiency with interacting criteria: An empirical study of cities in Jiangsu China," Land Use Policy, Elsevier, vol. 90(C).
    8. Liu, Yansui, 2018. "Introduction to land use and rural sustainability in China," Land Use Policy, Elsevier, vol. 74(C), pages 1-4.
    9. Walter W. Kropp & James K. Lein, 2012. "Assessing the Geographic Expression of Urban Sustainability: A Scenario Based Approach Incorporating Spatial Multicriteria Decision Analysis," Sustainability, MDPI, vol. 4(9), pages 1-18, September.
    10. Marco Zitti & Carlotta Ferrara & Luigi Perini & Margherita Carlucci & Luca Salvati, 2015. "Long-Term Urban Growth and Land Use Efficiency in Southern Europe: Implications for Sustainable Land Management," Sustainability, MDPI, vol. 7(3), pages 1-27, March.
    11. Pan, Haozhi & Deal, Brian & Chen, Yan & Hewings, Geoffrey, 2018. "A Reassessment of urban structure and land-use patterns: distance to CBD or network-based? — Evidence from Chicago," Regional Science and Urban Economics, Elsevier, vol. 70(C), pages 215-228.
    12. Yinger, John, 1992. "City and suburb: Urban models with more than one employment center," Journal of Urban Economics, Elsevier, vol. 31(2), pages 181-205, March.
    13. 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).
    14. Brueckner, Jan K. & Lai, Fu-Chuan, 1996. "Urban growth controls with resident landowners," Regional Science and Urban Economics, Elsevier, vol. 26(2), pages 125-143, April.
    15. Gao, Xin & Zhang, Anlu & Sun, Zhanli, 2020. "How regional economic integration influence on urban land use efficiency? A case study of Wuhan metropolitan area, China," Land Use Policy, Elsevier, vol. 90(C).
    16. Manfred Kühn, 2015. "Peripheralization: Theoretical Concepts Explaining Socio-Spatial Inequalities," European Planning Studies, Taylor & Francis Journals, vol. 23(2), pages 367-378, February.
    17. Liao, Liuwen & Long, Hualou & Gao, Xiaolu & Ma, Enpu, 2019. "Effects of land use transitions and rural aging on agricultural production in China’s farming area: A perspective from changing labor employing quantity in the planting industry," Land Use Policy, Elsevier, vol. 88(C).
    18. Yunqian Zhang & Zhenjie Chen & Qianwen Cheng & Chen Zhou & Penghui Jiang & Manchun Li & Dong Chen, 2016. "Quota Restrictions on Land Use for Decelerating Urban Sprawl of Mega City: A Case Study of Shanghai, China," Sustainability, MDPI, vol. 8(10), pages 1-17, September.
    19. 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).
    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. Yao, Yongling & Pan, Haozhi & Cui, Xiaoyu & Wang, Zhen, 2022. "Do compact cities have higher efficiencies of agglomeration economies? A dynamic panel model with compactness indicators," Land Use Policy, Elsevier, vol. 115(C).
    2. Weiping Zhang & Peiji Shi & Huali Tong, 2022. "Research on Construction Land Use Benefit and the Coupling Coordination Relationship Based on a Three-Dimensional Frame Model—A Case Study in the Lanzhou-Xining Urban Agglomeration," Land, MDPI, vol. 11(4), pages 1-16, March.
    3. Yasi Tian & Junyi Chen, 2022. "Suburban sprawl measurement and landscape analysis of cropland and ecological land: A case study of Jiangsu Province, China," Growth and Change, Wiley Blackwell, vol. 53(3), pages 1282-1305, September.

    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. Mengchao Yao & Yihua Zhang, 2021. "Evaluation and Optimization of Urban Land-Use Efficiency: A Case Study in Sichuan Province of China," Sustainability, MDPI, vol. 13(4), pages 1-22, February.
    2. Xufeng Cui & Sisi Huang & Cuicui Liu & Tingting Zhou & Ling Shan & Fengyuan Zhang & Min Chen & Fei Li & Walter T. de Vries, 2021. "Applying SBM-GPA Model to Explore Urban Land Use Efficiency Considering Ecological Development in China," Land, MDPI, vol. 10(9), pages 1-15, August.
    3. Lisha Pan & Hangang Hu & Xin Jing & Yang Chen & Guan Li & Zhongguo Xu & Yuefei Zhuo & Xueqi Wang, 2022. "The Impacts of Regional Cooperation on Urban Land-Use Efficiency: Evidence from the Yangtze River Delta, China," Land, MDPI, vol. 11(6), pages 1-16, June.
    4. Xinhai Lu & Zhenxing Shi & Jia Li & Junhao Dong & Mingjie Song & Jiao Hou, 2022. "Research on the Impact of Factor Flow on Urban Land Use Efficiency from the Perspective of Urbanization," Land, MDPI, vol. 11(3), pages 1-17, March.
    5. Tianren Yang & Ying Jin & Longxu Yan & Pei Pei, 2019. "Aspirations and realities of polycentric development: Insights from multi-source data into the emerging urban form of Shanghai," Environment and Planning B, , vol. 46(7), pages 1264-1280, September.
    6. Yanqi Zhao & Yue Zhang & Ying Yang & Fan Li & Rongkun Dai & Jianlin Li & Mingshi Wang & Zhenhua Li, 2023. "The Impact of Land Use Structure Change on Utilization Performance in Henan Province, China," IJERPH, MDPI, vol. 20(5), pages 1-18, February.
    7. Han Chen & Chunyu Meng & Qilin Cao, 2022. "Measurement and Influencing Factors of Low Carbon Urban Land Use Efficiency—Based on Non-Radial Directional Distance Function," Land, MDPI, vol. 11(7), pages 1-16, July.
    8. Kun Ge & Shan Zou & Xinhai Lu & Shangan Ke & Danling Chen & Zhangsheng Liu, 2022. "Dynamic Evolution and the Mechanism behind the Coupling Coordination Relationship between Industrial Integration and Urban Land-Use Efficiency: A Case Study of the Yangtze River Economic Zone in China," Land, MDPI, vol. 11(2), pages 1-22, February.
    9. Yue Zhou & Yi Chen & Yi Hu, 2021. "Assessing Efficiency of Urban Land Utilisation under Environmental Constraints in Yangtze River Delta, China," IJERPH, MDPI, vol. 18(23), pages 1-18, November.
    10. Song, Yang & Yeung, Godfrey & Zhu, Daolin & Xu, Yang & Zhang, Lixin, 2022. "Efficiency of urban land use in China’s resource-based cities, 2000–2018," Land Use Policy, Elsevier, vol. 115(C).
    11. Xinhai Lu & Yifeng Tang & Shangan Ke, 2021. "Does the Construction and Operation of High-Speed Rail Improve Urban Land Use Efficiency? Evidence from China," Land, MDPI, vol. 10(3), pages 1-15, March.
    12. Yahong Liu & Hailian Sun & Lei Shi & Huimin Wang & Zhai Xiu & Xiao Qiu & Hong Chang & Yu Xie & Yang Wang & Chengjie Wang, 2021. "Spatial-Temporal Changes and Driving Factors of Land-Use Eco-Efficiency Incorporating Ecosystem Services in China," Sustainability, MDPI, vol. 13(2), pages 1-15, January.
    13. Yao, Yongling & Pan, Haozhi & Cui, Xiaoyu & Wang, Zhen, 2022. "Do compact cities have higher efficiencies of agglomeration economies? A dynamic panel model with compactness indicators," Land Use Policy, Elsevier, vol. 115(C).
    14. Frederic Gilli, 2009. "Sprawl or Reagglomeration? The Dynamics of Employment Deconcentration and Industrial Transformation in Greater Paris," Urban Studies, Urban Studies Journal Limited, vol. 46(7), pages 1385-1420, June.
    15. Takahashi, Takaaki, 2014. "Location competition in an Alonso–Mills–Muth city," Regional Science and Urban Economics, Elsevier, vol. 48(C), pages 82-93.
    16. Duranton, Gilles & Puga, Diego, 2014. "The Growth of Cities," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 2, chapter 5, pages 781-853, Elsevier.
    17. McMillen, Daniel P. & Smith, Stefani C., 2003. "The number of subcenters in large urban areas," Journal of Urban Economics, Elsevier, vol. 53(3), pages 321-338, May.
    18. Gilles Duranton & Matthew A. Turner, 2012. "Urban Growth and Transportation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(4), pages 1407-1440.
    19. Mondschein, Andrew & Taylor, Brian D & Brumbaugh, Stephen, 2010. "Congestion And Accessibility: What’S The Relationship?," University of California Transportation Center, Working Papers qt8135b0jh, University of California Transportation Center.
    20. Yedong Chen & Jiang Chang & Zixuan Li & Li Ming & Cankun Li & Cheng Li, 2023. "Coupling Coordination and Spatiotemporal Analysis of Urban Compactness and Land-Use Efficiency in Resource-Based Areas: A Case Study of Shanxi Province, China," Land, MDPI, vol. 12(9), pages 1-23, August.

    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:99:y:2020:i:c:s0264837719322380. 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.