IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v11y2022i10p1678-d928073.html
   My bibliography  Save this article

How Can Macro-Scale Land-Use Policies Be Integrated with Local-Scale Urban Growth? Exploring Trade-Offs for Sustainable Urbanization in Xi’an, China

Author

Listed:
  • Haifen Lei

    (School of Environmental and Municipal Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China
    Department of Geography and Environmental Sustainability, The University of Oklahoma, Norman, OK 73019, USA)

  • Jennifer Koch

    (Department of Geography and Environmental Sustainability, The University of Oklahoma, Norman, OK 73019, USA)

  • Hui Shi

    (School of Environmental and Municipal Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China)

  • Shelby Snapp

    (Department of Geography and Environmental Sustainability, The University of Oklahoma, Norman, OK 73019, USA)

Abstract

Rapid urbanization results in farmland loss, habitat fragmentation, biodiversity decrease, and greenhouse gas emissions. Land-use policies and planning as administrative means are used to guide sustainable urban development and to balance the location of urban expansion and agricultural activities. To better understand the future implications of a variety of land-use policies, we used a FUTURES model scenario analysis to analyze the potential future patterns of urban areas and the loss and fragmentation of farmland and natural resources at the local level for Xi’an. We tested representative indicators of sustainable urbanization according to Plan 2014–2020. We found that scenarios representing the integration of several policies showed both synergetic spatial patterns and conflicting outcomes. The simulated land-use patterns of urban growth resulting from the combination of policies, were the most likely to support progress toward a livable compact city and natural resources’ conservation. These findings underscore the importance of simulation modeling and scenario analyses to quantify and visualize the results from policies and planning to support sustainable urbanization. Specifically, they show the value in simulation modeling for integrating information across scales, i.e., combining macro-level land-use policies with local-level spatial heterogeneity in socio-ecological settings, for identifying actionable planning solutions. Hence, these research results provide scientific support for land-use policy revision and implementation in Xi’an, as well as a reference point for other urbanizing cities in China.

Suggested Citation

  • Haifen Lei & Jennifer Koch & Hui Shi & Shelby Snapp, 2022. "How Can Macro-Scale Land-Use Policies Be Integrated with Local-Scale Urban Growth? Exploring Trade-Offs for Sustainable Urbanization in Xi’an, China," Land, MDPI, vol. 11(10), pages 1-17, September.
  • Handle: RePEc:gam:jlands:v:11:y:2022:i:10:p:1678-:d:928073
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/11/10/1678/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/11/10/1678/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Haifen Lei & Jennifer Koch & Hui Shi, 2020. "An Analysis of Spatio-Temporal Urbanization Patterns in Northwest China," Land, MDPI, vol. 9(11), pages 1-17, October.
    3. Wendong Zhang & Douglas H. Wrenn & Elena G. Irwin, 2017. "Spatial Heterogeneity, Accessibility, and Zoning: An Empirical Investigation of Leapfrog Development," Journal of Economic Geography, Oxford University Press, vol. 17(3), pages 547-570.
    Full references (including those not matched with items on IDEAS)

    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. Dietrich Earnhart & Sarah Jacobson & Yusuke Kuwayama & Richard T. Woodward, 2023. "Discretionary Exemptions from Environmental Regulation: Flexibility for Good or for Ill," Land Economics, University of Wisconsin Press, vol. 99(2), pages 203-221.
    2. Wang, Haoluan, 2017. "Land Conservation for Open Space: The Impact of Neighbors and the Natural Environment," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258125, Agricultural and Applied Economics Association.
    3. 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).
    4. Omar Hamdy & Hanan Gaber & Mohamed S. Abdalzaher & Mahmoud Elhadidy, 2022. "Identifying Exposure of Urban Area to Certain Seismic Hazard Using Machine Learning and GIS: A Case Study of Greater Cairo," Sustainability, MDPI, vol. 14(17), pages 1-24, August.
    5. Wu, Wei & Yeager, Kevin M. & Peterson, Mark S. & Fulford, Richard S., 2015. "Neutral models as a way to evaluate the Sea Level Affecting Marshes Model (SLAMM)," Ecological Modelling, Elsevier, vol. 303(C), pages 55-69.
    6. Manon Glockmann & Yunfei Li & Tobia Lakes & Jürgen P Kropp & Diego Rybski, 2022. "Quantitative evidence for leapfrogging in urban growth," Environment and Planning B, , vol. 49(1), pages 352-367, January.
    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. Giulio Giovannoni, 2021. "Urban Containment Planning: Is It Effective? The Case of Portland, OR," Sustainability, MDPI, vol. 13(22), pages 1-20, November.
    9. Chun Li & Jianhua He & Xingwu Duan, 2020. "Modeling the Collaborative Evolution of Urban Land Considering Urban Interactions under Intermediate Intervention, in the Urban Agglomeration in the Middle Reaches of the Yangtze River in China," Land, MDPI, vol. 9(6), pages 1-18, June.
    10. Ligang Wang & Dan Liu & Xinyi Wu & Xiaopu Zhang & Qiaoyang Liu & Weijiang Kong & Pingping Luo & Shengfu Yang, 2025. "Simulation Analysis of Land Use Change via the PLUS-GMOP Coupling Model," Land, MDPI, vol. 14(4), pages 1-26, April.
    11. Raphael Karutz & Christian J. A. Klassert & Sigrun Kabisch, 2023. "On Farmland and Floodplains—Modeling Urban Growth Impacts Based on Global Population Scenarios in Pune, India," Land, MDPI, vol. 12(5), pages 1-21, May.
    12. Manuschevich, Daniela & Sarricolea, Pablo & Galleguillos, Mauricio, 2019. "Integrating socio-ecological dynamics into land use policy outcomes: A spatial scenario approach for native forest conservation in south-central Chile," Land Use Policy, Elsevier, vol. 84(C), pages 31-42.
    13. 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.
    14. Dingrao Feng & Wenkai Bao & Meichen Fu & Min Zhang & Yiyu Sun, 2021. "Current and Future Land Use Characters of a National Central City in Eco-Fragile Region—A Case Study in Xi’an City Based on FLUS Model," Land, MDPI, vol. 10(3), pages 1-25, March.
    15. Li Wang & Tiangui Lv & Hualin Xie & Xinmin Zhang & Yanwei Zhang & Junxing Cai & Yuanyuan Liu & Jiang Liu, 2024. "Assessing urban smart growth in China based on the sustainable development goals framework," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(8), pages 19627-19657, August.
    16. Gomes, Eduardo & Abrantes, Patrícia & Banos, Arnaud & Rocha, Jorge, 2019. "Modelling future land use scenarios based on farmers’ intentions and a cellular automata approach," Land Use Policy, Elsevier, vol. 85(C), pages 142-154.
    17. Rong Guo & Yujing Bai, 2019. "Simulation of an Urban-Rural Spatial Structure on the Basis of Green Infrastructure Assessment: The Case of Harbin, China," Land, MDPI, vol. 8(12), pages 1-21, December.
    18. Alysha van Duynhoven & Suzana Dragićević, 2021. "Exploring the Sensitivity of Recurrent Neural Network Models for Forecasting Land Cover Change," Land, MDPI, vol. 10(3), pages 1-29, March.
    19. Chen, Chengjing & Liu, Yihua, 2021. "Spatiotemporal changes of ecosystem services value by incorporating planning policies: A case of the Pearl River Delta, China," Ecological Modelling, Elsevier, vol. 461(C).
    20. Zhou, Ting & Yang, Xi & Ke, Xinli, 2022. "Delimitation of urban growth boundaries by integratedly incorporating ecosystem conservation, cropland protection and urban compactness," Ecological Modelling, Elsevier, vol. 468(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:gam:jlands:v:11:y:2022:i:10:p:1678-:d:928073. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.