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Multi-Scenario Simulation of Land-Use Change and Delineation of Urban Growth Boundaries in County Area: A Case Study of Xinxing County, Guangdong Province

Author

Listed:
  • Zhipeng Lai

    (School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China)

  • Chengjing Chen

    (School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China)

  • Jianguo Chen

    (Center of GeoInformatics for Public Security, Guangzhou University, Guangzhou 510006, China)

  • Zhuo Wu

    (School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China)

  • Fang Wang

    (School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China)

  • Shaoying Li

    (School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China)

Abstract

Delineating urban growth boundaries (UGBs) by combining the land-use/land-cover (LULC) change simulation method has become common in recent studies. However, few of the existing studies have integrated multi-source big data to analyze the driving factors of LULC dynamics in the simulation. Moreover, most of previous studies mainly focused on the UGBs delineation in macroscale areas rather than small-scale areas, such as the county area. In this study, taking Xinxing County of Guangdong Province as the study area, we coupled a system dynamics (SD) model and a patch-generating land-use simulation (PLUS) model to propose a framework for the LULC change simulation and UGBs delineation in the county area. Multi-source big data such as points of interest (POIs), night-time light (NTL) data and Tencent user density (TUD) were integrated to analyze the driving forces of LULC change. The validation results indicate that the coupled model received high accuracy both in the land-use demand projection and LULC distribution simulation. The combination of multi-source big data can effectively describe the influence of human socio-economic factors on the expansion of urban land and industrial land. The UGBs delineation results have similar spatial patterns with the LULC change simulation results, which indicates that the proposed UGBs delineation method can effectively transform the LULC simulation results into available UGBs for the county area. It has been proven that the proposed framework in this study is effective for the LULC change simulation and UGBs delineation in the county area, which can provide insight on territorial spatial planning in the county area.

Suggested Citation

  • Zhipeng Lai & Chengjing Chen & Jianguo Chen & Zhuo Wu & Fang Wang & Shaoying Li, 2022. "Multi-Scenario Simulation of Land-Use Change and Delineation of Urban Growth Boundaries in County Area: A Case Study of Xinxing County, Guangdong Province," Land, MDPI, vol. 11(9), pages 1-18, September.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:9:p:1598-:d:917767
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    References listed on IDEAS

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    Cited by:

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    4. Peian Wang & Chen Liu & Linlin Dai, 2024. "Spatiotemporal Variation and Prediction of Carbon Storage in Terrestrial Ecosystems at Multiple Development Stages in Beijing City Based on the Plus and Integrated Valuation of Ecosystem Services and ," Land, MDPI, vol. 13(9), pages 1-24, September.
    5. Selamawit Haftu Gebresellase & Zhiyong Wu & Huating Xu & Wada Idris Muhammad, 2023. "Scenario-Based LULC Dynamics Projection Using the CA–Markov Model on Upper Awash Basin (UAB), Ethiopia," Sustainability, MDPI, vol. 15(2), pages 1-27, January.

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