Analysis of temporal and spatial characteristics of land use under urban expansion in Tianjin city

• 1、Jiangsu Engineering Research Center of IoT Device Hyperconvergence Application and Security, Wuxi University, Wuxi, Jiangsu 214105, China
• 2、 School of Internet of Things Engineering, Wuxi University, Wuxi, Jiangsu 214105, China
• 3、 Wuxi Key Laboratory of Internet of Vehicles, Wuxi University, Wuxi, Jiangsu 214105, China
• 4、School of Automation, Nanjing University of Information Science and Technology, Nanjing 210044, China

Abstract：Accurately understanding the spatiotemporal evolution characteristics of land use patterns and the contribution of influencing factors is of great significance for scientifically promoting regional ecological conservation, maintaining the stability of regional ecological patterns, and advancing socio-economic high-quality development. Taking Tianjin City as an example, based on annual high-resolution land cover datasets, we analyzed the spatiotemporal changes in land use during its urban expansion process using methods such as dynamic degree models. The aim is to explore and reveal the changing trends, spatial distribution patterns, and influencing factors of land use types in Tianjin City. The results indicate: (1) From 1992 to 2021, the main changes in land use types in Tianjin City were the continuous decrease in arable land area, the continuous expansion of construction land centered on the urban and new urban centers, and the fluctuation in water body area. (2) The land use degree index continues to increase but remains at a moderate level, suggesting further development potential. The rapid development of Tianjin City has outpaced its own structural adjustment, resulting in poor stability. The slow increase in equilibrium indicates a slow trend in land use structure change, while the slow decline in dominance implies a gradual weakening of arable land dominance and an increase in construction land dominance. (3) Natural factors, socio-economic factors, and accessibility factors contribute significantly to changes in various land cover types. Among them, elevation contributes significantly to arable land, woodland, and impervious surface areas, precipitation contributes significantly to bare land, and factors such as GDP, population, and distance to secondary roads contribute significantly to arable land, water bodies, and impervious surfaces, albeit with different constraints on different land types.)

Keywords： land use urban expansion satellite remote sensing Spatiotemporal variation?