Abstract:"Eco-urbanization" emphasizes the importance of the ecological and environmental aspects of urbanization, which is to approach a balanced and healthy ecosystem through paying attention to the ecological intercorrelation of many factors. This involves balancing the stocks and utilization of multi-resources and balancing the efficiency and equality of multi-resources allocation to improve the quality of life for both urban and rural areas. In this dynamic process, resource allocations are carried out at differen… Show more
“…Li et al (2019) combined qualitative and quantitative analysis techniques and a broad hierarchical structure to give an evaluation system for sponge cities [16]. Wang et al (2016) studied the connotation and construction methods of sponge city and believed that we should be paid to the individual heterogeneity of the city in construction [17]. Zhou et al (2022) analyzed the distribution of extreme precipitation in China, and found that extreme precipitation in China showed obvious differences due to different geographical locations [18].…”
As an innovative means to promote low-carbon and ecological development of cities, sponge cities have attracted extensive attention from industry and scholars. Measuring the operation efficiency of a sponge city can effectively measure whether the current input and output are reasonable, whether the management and operation are scientific, etc., which can find out the weaknesses in the current process and management. This paper proposes an evaluation method of interval cross-efficiency combined with TOPSIS and DEA to measure the operating efficiency of a sponge city. Specifically, an evaluation system, that includes three inputs and six outputs, is established at first from the perspective of input and output. Secondly, due to the uncertainty of the natural environment, two DEA models of benevolent and aggressive models are adopted to obtain the cross-efficiency interval value of a sponge city. Next, the cross-efficiency interval values are aggregated based on TOPSIS, and then, the descending principle is introduced to rank sponge cities to obtain the optimal operation efficiency cities. Finally, a case is used to verify the effectiveness of the proposed method. The research idea of this paper is clear, the research method is simple, and the research results can provide a basis for building an efficient and high-level sponge city.
“…Li et al (2019) combined qualitative and quantitative analysis techniques and a broad hierarchical structure to give an evaluation system for sponge cities [16]. Wang et al (2016) studied the connotation and construction methods of sponge city and believed that we should be paid to the individual heterogeneity of the city in construction [17]. Zhou et al (2022) analyzed the distribution of extreme precipitation in China, and found that extreme precipitation in China showed obvious differences due to different geographical locations [18].…”
As an innovative means to promote low-carbon and ecological development of cities, sponge cities have attracted extensive attention from industry and scholars. Measuring the operation efficiency of a sponge city can effectively measure whether the current input and output are reasonable, whether the management and operation are scientific, etc., which can find out the weaknesses in the current process and management. This paper proposes an evaluation method of interval cross-efficiency combined with TOPSIS and DEA to measure the operating efficiency of a sponge city. Specifically, an evaluation system, that includes three inputs and six outputs, is established at first from the perspective of input and output. Secondly, due to the uncertainty of the natural environment, two DEA models of benevolent and aggressive models are adopted to obtain the cross-efficiency interval value of a sponge city. Next, the cross-efficiency interval values are aggregated based on TOPSIS, and then, the descending principle is introduced to rank sponge cities to obtain the optimal operation efficiency cities. Finally, a case is used to verify the effectiveness of the proposed method. The research idea of this paper is clear, the research method is simple, and the research results can provide a basis for building an efficient and high-level sponge city.
“…It should be noted that from step 8 to step 10, this is an iterative calculation process and the centre of the cluster is constantly updated and the distance of the data is calculated, until the centre of the cluster and the clustering result do not change significantly. (11) In this step, we have completed the whole process of clustering calculation and obtained stable clustering results. We also output the results of clustering.…”
Section: Construction Of Modelmentioning
confidence: 99%
“…These problems have caused serious external problems and restricted the healthy development of urban economy and society [8,9]. City is the engine of economic growth, the high quality of the ecological environment is the intrinsic motivation of urban economic growth, therefore, establishing and improving the ecological environment management system and focusing on solving the problem of urban ecological environment, especially for China with the increasing population and urbanization level, become the inevitable choice of sustainable development of social economy [10,11]. In 2013, to solve the serious urban water environment problems, the Chinese government put forward the sponge city strategy, which is an urban stormwater management system that enables the city to absorb and save the stormwater like a sponge and release the reserved water for use when the city is short of water, so that the sponge city can play an important role in the sustainable development of cities [12].…”
Sponge city is a new urban stormwater management strategy proposed in China, which enables the city to absorb and save stormwater like a sponge, then release stormwater to solve the problems of urban waterlogging and water shortage. However, at present, sponge cities are confronted with such problems as high management cost and low management efficiency, a lack of research on collaborative management between cities and the feasibility of regional cooperation between sponge cities needs to be proved. Therefore, this article puts forward the theory of sponge city regional ecological cooperative management and builds a multivariate cluster analysis model of sponge city and conducts an empirical study on data of 71 Chinese cities. The research results show that under the multi-index linkage system, China’s urban climate and ecological characteristics do have the characteristics of regional agglomeration and the basic conditions of interregional ecological cooperation, which proves the feasibility of the hypothesis of regional cooperation. Therefore, strengthening the ecological cooperation of sponge cities among regional cities is conducive to improving the supply efficiency of ecological environment quality and realizing the sustainable development of cities.
“…LULC changes extensively occur during agricultural activities (e.g., deforestation for agricultural expansion and land management) [1][2][3], resource mining activities [4,5], and urbanization [6,7]. As a crucial driver of environmental change, LULC changes can contribute to climate change, soil erosion, and biodiversity loss by altering the carbon cycle and soil quality [8][9][10][11][12], and thus can affect soil functionality and deteriorate ecosystem services [13].…”
Land use/land cover (LULC) change widely occurs during urbanization and can affect the functionality of soil ecosystems by altering soil physicochemical properties. However, few studies have evaluated the impacts of LULC change on soils in arid regions. This study investigates LULC change patterns during 2010–2017 in Lanzhou New Area, China based on remotely sensed data (Chinese GaoFen-1 and Advanced Land Observing Satellite). We identified five main land use change types and reference native grassland and farmland to determine soil properties at different depths. Principal component analysis and scatter matrix were employed to evaluate the effect of LULC change on soil properties. The results showed that LULC changes that occurred in Lanzhou New Area were characterized by the rapid growth of construction and bare land (increased by 13.06% and 5.97%, respectively) at the expense of farmland (decreased by 25.38%). The conversion of native grassland to artificial grassland and bare land, and farmland to bare land had similar effects on soil properties; i.e., a significant decline and a lower level in total nitrogen and soil organic carbon. The farmland to construction land transition deteriorated soil nutrients and increased soil compaction by both increasing bulk density (BD, mean = 1.63 g cm−3) and enhancing sand content by 69.21%. All land use change types increased BD and decreased soil water content and saturated soil water content when compared to the reference areas. These results indicate that changes in LULC have significant impacts on soil physicochemical properties. Thus, it is essential to optimize land planning and improve soil quality in arid ecosystems to ensure sustainable resource management and ecosystem conservation.
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