IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i21p5919-d279997.html
   My bibliography  Save this article

Delineation of Urban Growth Boundaries with SD and CLUE-s Models under Multi-Scenarios in Chengdu Metropolitan Area

Author

Listed:
  • Xindong He

    (College of Tourism and Urban-Rural Planning, Chengdu University of Technology, Chengdu 610059, China)

  • Xianmin Mai

    (School of Urban Planning and Architecture, Southwest Minzu University, Chengdu 610041, China)

  • Guoqiang Shen

    (College of Architecture, Planning and Public Affairs, University of Texas at Arlington, Arlington, TX 76019, USA)

Abstract

For megacities experiencing rapid urbanization in China, urban growth boundaries (UGBs) have been considered as a useful means to control urban sprawl and to promote sustainable urban development. However, scientific methods and tools to delineate sound UGBs by planners are few and far between. Using metropolitan Chengdu as the study area, this paper applies the system dynamics (SD) and conversion of land use and its effects at small region extent (CLUE-s) models to delineate UGBs. In this study, land use demand was simulated in the SD model temporally at a macro-level and allocated in the CLUE-s model spatially at a micro-level. Key social-economic elements and spatial pattern factors were used in the simulation process for the period of 2013–2030. The simulation results under various scenarios showed that areas along the major corridors and belt roads of the main Chengdu metropolitan area and its satellite towns have higher chances to be developed. The areas most likely to be developed were used to establish the UGBs for 2020, 2025, and 2030. This research demonstrates that the integrated framework of SD and CLUE-s models provides a feasible means of UGB delineation under different development scenarios.

Suggested Citation

  • Xindong He & Xianmin Mai & Guoqiang Shen, 2019. "Delineation of Urban Growth Boundaries with SD and CLUE-s Models under Multi-Scenarios in Chengdu Metropolitan Area," Sustainability, MDPI, vol. 11(21), pages 1-13, October.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:21:p:5919-:d:279997
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/21/5919/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/11/21/5919/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Peter Verburg & Bas Eickhout & Hans Meijl, 2008. "A multi-scale, multi-model approach for analyzing the future dynamics of European land use," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 42(1), pages 57-77, March.
    2. Henríquez-Dole, Lenin & Usón, Tomás J. & Vicuña, Sebastián & Henríquez, Cristián & Gironás, Jorge & Meza, Francisco, 2018. "Integrating strategic land use planning in the construction of future land use scenarios and its performance: The Maipo River Basin, Chile," Land Use Policy, Elsevier, vol. 78(C), pages 353-366.
    3. Castella, Jean-Christophe & Verburg, Peter H., 2007. "Combination of process-oriented and pattern-oriented models of land-use change in a mountain area of Vietnam," Ecological Modelling, Elsevier, vol. 202(3), pages 410-420.
    4. Liu, Yaobin, 2009. "Exploring the relationship between urbanization and energy consumption in China using ARDL (autoregressive distributed lag) and FDM (factor decomposition model)," Energy, Elsevier, vol. 34(11), pages 1846-1854.
    5. Qing Zheng & Xuan Yang & Ke Wang & Lingyan Huang & Amir Reza Shahtahmassebi & Muye Gan & Melanie Valerie Weston, 2017. "Delimiting Urban Growth Boundary through Combining Land Suitability Evaluation and Cellular Automata," Sustainability, MDPI, vol. 9(12), pages 1-22, November.
    6. 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.
    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. Menglin Ou & Jingye Li & Xin Fan & Jian Gong, 2022. "Compound Optimization of Territorial Spatial Structure and Layout at the City Scale from “Production–Living–Ecological” Perspectives," IJERPH, MDPI, vol. 20(1), pages 1-15, December.
    2. Yangcheng Hu & Yi Liu & Changyan Li, 2022. "Multi-Scenario Simulation of Land Use Change and Ecosystem Service Value in the Middle Reaches of Yangtze River Urban Agglomeration," Sustainability, MDPI, vol. 14(23), pages 1-19, November.
    3. Xindong He & Linhong Wu & Guoqiang Shen & Xingfan Peng & Lei Huang, 2023. "A Spatiotemporal Analysis of Ecological–Economic Coupling Coordination in the Chengdu–Chongqing Urban Agglomeration," Land, MDPI, vol. 12(7), pages 1-20, July.
    4. Abdurrahim Aydın & Remzi Eker, 2022. "Future land use/land cover scenarios considering natural hazards using Dyna-CLUE in Uzungöl Nature Conservation Area (Trabzon-NE Türkiye)," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(3), pages 2683-2707, December.
    5. Xin Ye & Wenhui Yu & Lina Lv & Shuying Zang & Hongwei Ni, 2021. "An Improved Case-Based Reasoning Model for Simulating Urban Growth," Sustainability, MDPI, vol. 13(11), pages 1-17, May.
    6. Yan Yu & Chenhe Zhang & Weilin Ma & Yaxin Xu & Xinxin Gao, 2022. "Urban Growth Boundaries Delineation under Multi-Objective Constraints from the Perspective of Humanism and Low-Carbon Concept," Sustainability, MDPI, vol. 14(23), pages 1-22, December.
    7. Chunhong Zhao & Jennifer L.R. Jensen & Russell Weaver, 2020. "Global and Local Modeling of Land Use Change in the Border Cities of Laredo, Texas, USA and Nuevo Laredo, Tamaulipas, Mexico: A Comparative Analysis," Land, MDPI, vol. 9(10), pages 1-18, September.
    8. Jingeng Huo & Zhenqin Shi & Wenbo Zhu & Xin Chen & Hua Xue & Ran Ma & Yanhui Yan, 2022. "Delineation of the Development Boundary of the Central District of Zhengzhou, China," Land, MDPI, vol. 11(9), pages 1-18, August.
    9. Ziwei Luo & Xijun Hu & Yezi Wang & Cunyou Chen, 2023. "Simulation and Prediction of Territorial Spatial Layout at the Lake-Type Basin Scale: A Case Study of the Dongting Lake Basin in China from 2000 to 2050," Sustainability, MDPI, vol. 15(6), pages 1-20, March.

    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. Changqing Sun & Yulong Bao & Battsengel Vandansambuu & Yuhai Bao, 2022. "Simulation and Prediction of Land Use/Cover Changes Based on CLUE-S and CA-Markov Models: A Case Study of a Typical Pastoral Area in Mongolia," Sustainability, MDPI, vol. 14(23), pages 1-21, November.
    2. Holger Cammerer & Annegret Thieken & Peter Verburg, 2013. "Spatio-temporal dynamics in the flood exposure due to land use changes in the Alpine Lech Valley in Tyrol (Austria)," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 68(3), pages 1243-1270, September.
    3. Yi Lu & Xiangrong Wang & Yujing Xie & Kun Li & Yiyang Xu, 2016. "Integrating Future Land Use Scenarios to Evaluate the Spatio-Temporal Dynamics of Landscape Ecological Security," Sustainability, MDPI, vol. 8(12), pages 1-20, November.
    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. Gomes, L.C. & Bianchi, F.J.J.A. & Cardoso, I.M. & Schulte, R.P.O. & Arts, B.J.M. & Fernandes Filho, E.I., 2020. "Land use and land cover scenarios: An interdisciplinary approach integrating local conditions and the global shared socioeconomic pathways," Land Use Policy, Elsevier, vol. 97(C).
    6. Honglei Jiang & Xia Xu & Mengxi Guan & Lingfei Wang & Yongmei Huang & Yinghui Liu, 2019. "Simulation of Spatiotemporal Land Use Changes for Integrated Model of Socioeconomic and Ecological Processes in China," Sustainability, MDPI, vol. 11(13), pages 1-18, July.
    7. Azevedo, I. & Leal, V., 2021. "A new model for ex-post quantification of the effects of local actions for climate change mitigation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    8. Adom, Philip Kofi & Bekoe, William, 2012. "Conditional dynamic forecast of electrical energy consumption requirements in Ghana by 2020: A comparison of ARDL and PAM," Energy, Elsevier, vol. 44(1), pages 367-380.
    9. Zhenkai Yang & Mei-Chih Wang & Tsangyao Chang & Wing-Keung Wong & Fangjhy Li, 2022. "Which Factors Determine CO 2 Emissions in China? Trade Openness, Financial Development, Coal Consumption, Economic Growth or Urbanization: Quantile Granger Causality Test," Energies, MDPI, vol. 15(7), pages 1-18, March.
    10. Bakirtas, Tahsin & Akpolat, Ahmet Gokce, 2018. "The relationship between energy consumption, urbanization, and economic growth in new emerging-market countries," Energy, Elsevier, vol. 147(C), pages 110-121.
    11. Setareh Katircioglu, 2022. "Estimating the role of urban development in environment quality: Evidence from G7 countries," Energy & Environment, , vol. 33(2), pages 283-314, March.
    12. Alvaro Calzadilla & Katrin Rehdanz & Richard Betts & Pete Falloon & Andy Wiltshire & Richard Tol, 2013. "Climate change impacts on global agriculture," Climatic Change, Springer, vol. 120(1), pages 357-374, September.
    13. Leiwen Jiang & Karen Hardee, 2011. "How do Recent Population Trends Matter to Climate Change?," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 30(2), pages 287-312, April.
    14. Karanfil, Fatih & Li, Yuanjing, 2015. "Electricity consumption and economic growth: Exploring panel-specific differences," Energy Policy, Elsevier, vol. 82(C), pages 264-277.
    15. Gholami, M. & Barbaresi, A. & Torreggiani, D. & Tassinari, P., 2020. "Upscaling of spatial energy planning, phases, methods, and techniques: A systematic review through meta-analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    16. Yu, Yantuan & Zhang, Ning & Kim, Jong Dae, 2020. "Impact of urbanization on energy demand: An empirical study of the Yangtze River Economic Belt in China," Energy Policy, Elsevier, vol. 139(C).
    17. Zhang, Hui & Zhou, Peng & Sun, Xiumei & Ni, Guanqun, 2024. "Disparities in energy efficiency and its determinants in Chinese cities: From the perspective of heterogeneity," Energy, Elsevier, vol. 289(C).
    18. Changchang Liu & Chuxiong Deng & Zhongwu Li & Yaojun Liu & Shuyuan Wang, 2022. "Optimization of Spatial Pattern of Land Use: Progress, Frontiers, and Prospects," IJERPH, MDPI, vol. 19(10), pages 1-22, May.
    19. Jin Zhang & David C. Broadstock, 2016. "The Causality between Energy Consumption and Economic Growth for China in a Time-varying Framework," The Energy Journal, , vol. 37(1_suppl), pages 29-54, January.
    20. Banerjee, Onil & Crossman, Neville & Vargas, Renato & Brander, Luke & Verburg, Peter & Cicowiez, Martin & Hauck, Jennifer & McKenzie, Emily, 2020. "Global socio-economic impacts of changes in natural capital and ecosystem services: State of play and new modeling approaches," Ecosystem Services, Elsevier, vol. 46(C).

    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:5919-:d:279997. 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.