Spatio-Temporal Evolution Dynamic, Effect and Governance Policy of Construction Land Use in Urban Agglomeration: Case Study of Yangtze River Delta, China

Abstract

The urban construction land change is the most obvious and complex spatial phenomenon in urban agglomerations which has attracted extensive attention of scholars in different fields. Yangtze River Delta Urban Agglomeration is the most mature urban agglomeration in China, a typical representative in both China and the world. This paper analyzes the evolution dynamic, effect and governance policy of urban construction land in Yangtze River Delta Urban Agglomeration 2011–2020 using a combination of BCG model, decoupling model and GIS tools. The findings are as follows. (1) There are large intercity differences in urban construction land in urban agglomerations, but the spatial heterogeneity is gradually decreasing. (2) The change trends and evolution patterns of urban construction land in urban agglomerations are increasingly diversified, with emergence of a variety of types such as rapid growth, slow growth, inverted U-shape, stars, cows, question and dogs. (3) The population growth, economic development and income improvement corresponding to the change of urban construction land in urban agglomerations have no desirable effect, with most cities in the expansive negative decoupling state. (4) The decoupling types show increasingly complex changes, in evolution, degeneration and unchanged states. Affected by economic transformation and the outbreak of COVID-19, an increasing number of cities are in strong negative decoupling and degeneration states, threatening the sustainable development of urban agglomerations. (5) Based on the division of urban agglomerations into three policy areas of Transformation Leading, Land Dependent, and Land Reduction, the response strategies for each are proposed, and a differentiated land use zoning management system is established.

Study on the Spatial and Temporal Evolution of Regional Green Space Morphology Outside Built-Up Areas based on the Google Earth Engine and Biophysical Component Modeling

“…The green space data cover the built-up area inside and outside of the city, and it is difficult to determine the unique characteristics of the changes in the spatial pattern of the green space landscape in the areas outside the built-up area. For example, Zhang Li-Quan et al [37] quantitatively revealed the spatial distribution characteristics of the landscape pattern in Shanghai. With the help of GIS spatial analysis technology, Zhang et al [38] studied the typical regional green corridor space in Shanghai, constructed an evaluation system, and provided a scientific and effective basis for the development of regional green corridors.…”

“…For example, Zhang Li-Quan et al quantitatively revealed the spatial distribution characteristics of the landscape pattern in Shanghai. With the help of GIS spatial analysis technology, Zhang et al [37] studied the typical regional green corridor space in Shanghai, constructed an evaluation system, and provided a scientific and effective basis for the development of regional green corridors. The overall lack of spatial characterization of regional green landscapes outside the built-up area prevents regional ecological environment construction [38].…”

Has Urban Construction Land Achieved Low-Carbon Sustainable Development? A Case Study of North China Plain, China

“…The decoupling theory was first proposed by the Organization for Economic Cooperation and Development (OECD) [4], and Tapio introduced the elasticity method to the decoupling theory to study the decoupling relationship between economic growth and carbon emissions in the European transport sector [5]; the model was later widely used to explore the relationship between resource consumption and environmental pollution. At present, a large number of scholars have applied the decoupling model at the international [6,7], national [8][9][10][11][12][13], regional [14][15][16][17], urban [18,19], and industrial levels [20][21][22][23]. For example, Zhao et al analyzed the decoupling relationship between carbon emissions and economic development for 29 countries, based on the Tapio model, and the study found some differences in the decoupling status among countries in each period.…”