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

Zhipeng Lai, Chengjing Chen, Jianguo Chen, Zhuo Wu, Fang Wang and Shaoying Li ()
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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

Land, 2022, vol. 11, issue 9, 1-18

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.

Keywords: urban growth boundaries (UGBs); LULC change simulation; multi-source big data; SD model; PLUS model; county area; Xinxing County (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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