Evaluation of the Fairness of Urban Lakes’ Distribution Based on Spatialization of Population Data: A Case Study of Wuhan Urban Development Zone

Abstract

Lake reclamation for urban construction has caused serious damage to lakes in cities undergoing rapid urbanization. This process affects urban ecological environment and leads to inconsistent urban expansion, population surge, and uneven distribution of urban lakes. This study measured the fairness of urban lakes’ distribution and explored the spatial matching relationship between service supply and user group demand. The interpretation and analysis of Wuhan’s remote sensing images, population, administrative area, traffic network, and other data in 2018 were used as the basis. Specifically, the spatial distribution pattern and fairness of lakes’ distribution in Wuhan urban development zone were investigated. This study establishes a geographic weighted regression (GWR) model of land cover types and population data based on a spatialization method of population data based on land use, and uses population spatial data and network accessibility analysis results to evaluate lake service levels in the study area. Macroscopically, the correlation analysis of sequence variables and Gini coefficient analysis method are used to measure the fairness of the Wuhan lake distribution problem and equilibrium degree, and the location entropy analysis is used to quantitatively analyze the fairness of lakes and Wuhan streets from the perspective of supply and demand location entropy. Levels improve the accuracy of the research. Results showed that (1) the area covered by lakes in Wuhan urban development zone is 1007.96 km2 within 60-min of walking, accounting for 30.6% of the total area of the study area. This area can house 5,050,275 people, accounting for 60.8% of Wuhan’s total population. (2) The lakes in the central city area are less fair than the lakes outside the Third Ring Road. (3) The service level of North Lake is the highest among all the lakes in the study area, and that of Hou Lake is the lowest. (4) The spatial layout of the fairness of the lakes’ distribution is roughly distributed in circles. The fairness level collapses toward the city center, indicating that the closer to the city center, the lower the fairness level.

Interaction Analysis of Urban Blue-Green Space and Built-Up Area Based on Coupling Model—A Case Study of Wuhan Central City

“…Many previous studies have mostly carried out macroscopic qualitative analysis from the perspective of the impact of land use change on landscape pattern in rapidly urbanized areas, and have found that in these regions, green space and water area are transformed into construction land, which is prone to form extremely scattered landscapes, but the extent of such impact has not been quantified [31][32][33]. Most of the research lacks conjecture verification and two-step coupling quantitative analysis and evaluation [34,35], or just start from a single aspect of urban green space or blue space, where static studies are conducted on social attributes of space such as public health welfare [36], social equity [37,38], physical attributes such as urban flood [39,40], urban landscape [41,42], and other aspects such as economic development [43]. Relatively few studies analyze the dynamic changes of blue-green space and landscape pattern from the perspective of long time series and multiple nodes, and quantitatively analyze the relationship between urban expansion and blue-green space.…”

Social Exclusion in the Development of Photovoltaics: The Perspective of Fishers in the HU Township

“…Furthermore, the industrial repurposing of environmental assets such as lakes and wetlands erodes natural habitats and reduces the quality of living space. Beyond functionality, these water bodies contribute to scenic beauty, offering recreational and tourism potential (Wu et al, 2019). Their aesthetic value enhances visual appeal and fosters a connection with nature (Rava et al, 2015;Wu et al, 2019).…”

“…Beyond functionality, these water bodies contribute to scenic beauty, offering recreational and tourism potential (Wu et al, 2019). Their aesthetic value enhances visual appeal and fosters a connection with nature (Rava et al, 2015;Wu et al, 2019). In traditional rural societies, landscape aesthetic appreciation is seen as natural ecological beauty.…”