IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i21p6159-d283538.html
   My bibliography  Save this article

Delineation of Urban Growth Boundaries Using a Patch-Based Cellular Automata Model under Multiple Spatial and Socio-Economic Scenarios

Author

Listed:
  • Jianxin Yang

    (Department of Land Resource Management, School of Public Administration, China University of Geosciences, Wuhan 430074, China)

  • Jian Gong

    (Department of Land Resource Management, School of Public Administration, China University of Geosciences, Wuhan 430074, China
    Key Labs of Law Evaluation of Ministry of Land and Resources of China, School of Public Administration, China University of Geosciences, Wuhan 430074, China)

  • Wenwu Tang

    (Center for Applied Geographic Information Science, the University of North Carolina at Charlotte, Charlotte, NC 28223, USA
    Department of Geography and Earth Sciences, the University of North Carolina at Charlotte, Charlotte, NC 28223, USA)

  • Yang Shen

    (Department of Land Resource Management, School of Public Administration, China University of Geosciences, Wuhan 430074, China)

  • Chunyan Liu

    (Department of Land Resource Management, School of Public Administration, China University of Geosciences, Wuhan 430074, China)

  • Jing Gao

    (Department of Land Resource Management, School of Public Administration, China University of Geosciences, Wuhan 430074, China)

Abstract

The urban growth boundary (UGB) plays an important role in the regulation of urban sprawl and the conservation of natural ecosystems. The delineation of UGBs is a common strategy in urban planning, especially in metropolitan areas undergoing fast expansion. However, reliable tools for the delineation of informed UGBs are still not widely available for planners. In this study, a patch-based cellular automaton (CA) model was applied to build UGBs, in which urban expansions were represented as organic and spontaneous patch growing processes. The proposed CA model enables the modeler to build various spatial and socio-economic scenarios for UGB delineation. Parameters that control the patch size and shape, along with the spatial compactness of an urban growth pattern, were optimized using a genetic algorithm. A random forest model was employed to estimate the probability of urban development. Six scenarios in terms of the demand and the spatial pattern of urban land allocation were constructed to generate UGB alternatives based on the simulated urban land maps from the CA model. Application of the proposed model in Ezhou, China from 2004 to 2030 reveals that the model proposed in this study can help urban planners make informed decisions on the delineation of UGBs under different scenarios.

Suggested Citation

  • Jianxin Yang & Jian Gong & Wenwu Tang & Yang Shen & Chunyan Liu & Jing Gao, 2019. "Delineation of Urban Growth Boundaries Using a Patch-Based Cellular Automata Model under Multiple Spatial and Socio-Economic Scenarios," Sustainability, MDPI, vol. 11(21), pages 1-27, November.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:21:p:6159-:d:283538
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/21/6159/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/21/6159/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Konak, Abdullah & Coit, David W. & Smith, Alice E., 2006. "Multi-objective optimization using genetic algorithms: A tutorial," Reliability Engineering and System Safety, Elsevier, vol. 91(9), pages 992-1007.
    2. R White & G Engelen, 1993. "Cellular Automata and Fractal Urban Form: A Cellular Modelling Approach to the Evolution of Urban Land-Use Patterns," Environment and Planning A, , vol. 25(8), pages 1175-1199, August.
    3. Chatterjee, Sangit & Laudato, Matthew & Lynch, Lucy A., 1996. "Genetic algorithms and their statistical applications: an introduction," Computational Statistics & Data Analysis, Elsevier, vol. 22(6), pages 633-651, October.
    4. 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.
    5. Li, Xiaowei & Yu, Xiubo & Jiang, Luguang & Li, Wenye & Liu, Yu & Hou, Xiyong, 2014. "How important are the wetlands in the middle-lower Yangtze River region: An ecosystem service valuation approach," Ecosystem Services, Elsevier, vol. 10(C), pages 54-60.
    6. Dempsey, Judith A. & Plantinga, Andrew J., 2013. "How well do urban growth boundaries contain development? Results for Oregon using a difference-in-difference estimator," Regional Science and Urban Economics, Elsevier, vol. 43(6), pages 996-1007.
    7. Ding, Chengri & Knaap, Gerrit J. & Hopkins, Lewis D., 1999. "Managing Urban Growth with Urban Growth Boundaries: A Theoretical Analysis," Journal of Urban Economics, Elsevier, vol. 46(1), pages 53-68, July.
    8. Rui Zhou & Hao Zhang & Xin-Yue Ye & Xin-Jun Wang & Hai-Long Su, 2016. "The Delimitation of Urban Growth Boundaries Using the CLUE-S Land-Use Change Model: Study on Xinzhuang Town, Changshu City, China," Sustainability, MDPI, vol. 8(11), pages 1-16, November.
    9. Judith Banister & David E. Bloom & Larry Rosenberg, 2012. "Population Aging and Economic Growth in China," International Economic Association Series, in: Masahiko Aoki & Jinglian Wu (ed.), The Chinese Economy, chapter 6, pages 114-149, Palgrave Macmillan.
    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. Xiaojiang Xia & Yue Zhang & Xiaona Shi & Jian Chen & Tiechuan Rao, 2022. "Simulation of Dynamic Urban Growth Boundary Combining Urban Vitality and Ecological Networks: A Case Study in Chengdu Metropolitan Area," Land, MDPI, vol. 11(10), pages 1-19, October.

    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. 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.
    2. Jie Lu & Chaojie Liu & Michael Buxton, 2021. "The Impact Of Urban Growth Boundaries In Melbourne On Urban Sustainable Development," Engineering Heritage Journal (GWK), Zibeline International Publishing, vol. 5(1), pages 34-41, June.
    3. 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.
    4. Yu Zhang & Pengcheng Wang & Tianwei Wang & Chongfa Cai & Zhaoxia Li & Mingjun Teng, 2018. "Scenarios Simulation of Spatio-Temporal Land Use Changes for Exploring Sustainable Management Strategies," Sustainability, MDPI, vol. 10(4), pages 1-17, March.
    5. 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).
    6. Basse, Reine Maria, 2013. "A constrained cellular automata model to simulate the potential effects of high-speed train stations on land-use dynamics in trans-border regions," Journal of Transport Geography, Elsevier, vol. 32(C), pages 23-37.
    7. 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).
    8. Gupta, Pankaj & Mittal, Garima & Mehlawat, Mukesh Kumar, 2013. "Expected value multiobjective portfolio rebalancing model with fuzzy parameters," Insurance: Mathematics and Economics, Elsevier, vol. 52(2), pages 190-203.
    9. Weifan Zhong & Lijing Du, 2023. "Predicting Traffic Casualties Using Support Vector Machines with Heuristic Algorithms: A Study Based on Collision Data of Urban Roads," Sustainability, MDPI, vol. 15(4), pages 1-18, February.
    10. Kwok Hung Lau & Booi Hon Kam, 2005. "A Cellular Automata Model for Urban Land-Use Simulation," Environment and Planning B, , vol. 32(2), pages 247-263, April.
    11. Han, Wenjing & Zhang, Xiaoling & Zheng, Xian, 2020. "Land use regulation and urban land value: Evidence from China," Land Use Policy, Elsevier, vol. 92(C).
    12. Hackbart, Vivian C.S. & de Lima, Guilherme T.N.P. & dos Santos, Rozely F., 2017. "Theory and practice of water ecosystem services valuation: Where are we going?," Ecosystem Services, Elsevier, vol. 23(C), pages 218-227.
    13. José I Barredo & Luca Demicheli & Carlo Lavalle & Marjo Kasanko & Niall McCormick, 2004. "Modelling Future Urban Scenarios in Developing Countries: An Application Case Study in Lagos, Nigeria," Environment and Planning B, , vol. 31(1), pages 65-84, February.
    14. Zhang, Yue & Zhang, Qi & Farnoosh, Arash & Chen, Siyuan & Li, Yan, 2019. "GIS-Based Multi-Objective Particle Swarm Optimization of charging stations for electric vehicles," Energy, Elsevier, vol. 169(C), pages 844-853.
    15. J. Octavio Gutierrez-Garcia & Kwang Mong Sim, 2012. "GA-based cloud resource estimation for agent-based execution of bag-of-tasks applications," Information Systems Frontiers, Springer, vol. 14(4), pages 925-951, September.
    16. Cai, Yuhao & Qian, Xin & Su, Ruihang & Jia, Xiongjie & Ying, Jinhui & Zhao, Tianshou & Jiang, Haoran, 2024. "Thermo-electrochemical modeling of thermally regenerative flow batteries," Applied Energy, Elsevier, vol. 355(C).
    17. Caruso, Geoffrey & Peeters, Dominique & Cavailhes, Jean & Rounsevell, Mark, 2007. "Spatial configurations in a periurban city. A cellular automata-based microeconomic model," Regional Science and Urban Economics, Elsevier, vol. 37(5), pages 542-567, September.
    18. Ehrlich, Maximilian V. & Hilber, Christian A.L. & Schöni, Olivier, 2018. "Institutional settings and urban sprawl: Evidence from Europe," Journal of Housing Economics, Elsevier, vol. 42(C), pages 4-18.
    19. Francesco Battaglia & Mattheos K. Protopapas, 2010. "Multi-regime models for nonlinear nonstationary time series," Working Papers 026, COMISEF.
    20. Dong Chen & Rongrong Liu & Maoxian Zhou, 2023. "Delineation of Urban Growth Boundary Based on Habitat Quality and Carbon Storage: A Case Study of Weiyuan County in Gansu, China," Land, MDPI, vol. 12(5), pages 1-17, May.

    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:jsusta:v:11:y:2019:i:21:p:6159-:d:283538. 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.