Urban Land Use Efficiency and Coordination in China

Yang, Xiaodong; Wu, Yue; Dang, Hang Minh

doi:10.3390/su9030410

Cited by 38 publications

(35 citation statements)

References 36 publications

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“…According to Equation (14), the comparison coefficients between the three subsystems of water resources, energy, and food in the five provinces of Northwest China were calculated. The results were shown in Figure 4.…”

Section: Compare the Correlation Between Different Subsystemsmentioning

confidence: 99%

“…Yang studied the coordination degree of the urban land use system. In addition, he then used the coordination degree to measure whether the development of all subsystems and elements of urban land use system is reasonable and consistent [14]. Wang thought the coordination degree can reflect the level of system development and better identify the coordinated evolution between subsystems [15].…”

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confidence: 99%

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Study on Vulnerability and Coordination of Water-Energy-Food System in Northwest China

et al. 2018

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Water, energy and food are the basic resources for human survival and development. The coordination development of water-energy-food (W-E-F) is of great significance to promote regional sustainable development. In this study, Northwest China (Shaanxi, Gansu, Qinghai, Ningxia, Xinjiang) was selected as the research case, and an evaluation index system was constructed to assess the vulnerability and coordination of water-energy-food (W-E-F) system based on PSR model. Then, a coupled model based on cloud-matter element model and coordination degree model was proposed. The cloud-matter element model was adopted to evaluate the vulnerability level of W-E-F system. The coordination degree model was employed to calculate the coordination degrees of W-E-F system. The results showed that, from 2006 to 2015, the vulnerability levels of W-E-F system in Northwest China were mostly at Level 1. The coordination degrees of W-E-F system belonged to the transitional development level (II) in most years. The vulnerability and coordination problems of W-E-F system in Northwest China were severe. The comprehensive vulnerability index values of W-E-F system were generally on the rise, but far from reaching a good level. Moreover, the comprehensive vulnerability index values and coordination degrees of W-E-F system in Northwest China do not match well. Finally, the countermeasures and suggestions to improve the coordinated development of water resource, energy and food in Northwest China were put forward.2 of 25 scholars and relevant departments. Research on W-E-F system has become an important topic in the field of sustainable development [4].Vulnerability, as an important research object, has been put on the research agenda by international scientific programs and institutions such as IHDP, IPCC, IGBP [5][6][7]. It has become the frontier and hotspot of global environmental change and sustainable scientific research. In 1999, the United Nations Development Programme (UNDP) formally put forward the concept of "economic vulnerability" [8]. After that, the research object of vulnerability has gradually expanded from the natural ecological environment system to the complex system which includes the natural, social, economic and institutional factors. Cutter [9] summarized the related concepts of vulnerability, pointing out that social vulnerability is a natural risk and social response within a specific region or geographical scope, and stressing the imbalance of social preparedness, response, recovery and adaptation to disasters. The United Nations International Strategy for Disaster Reduction (UNISDR) defined vulnerability as the extent to which the attributes of communities, systems or property and the environment are damaged by disaster-causing factors. It was considered that vulnerability was related to various natural, social, economic and environmental factors, and has certain temporal and spatial attributes [10]. Chen et al. [11] indicated that social vulnerability influenced people's ability to make full pre-disaster preparatio...

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Section: Compare the Correlation Between Different Subsystemsmentioning

confidence: 99%

mentioning

confidence: 99%

Study on Vulnerability and Coordination of Water-Energy-Food System in Northwest China

et al. 2018

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“…Chen et al [36] used a DEA model to analyze the changes in built-up land efficiency in 336 cities in China from 2005 to 2012 during the implementation of National General Land Use Plan (2006-2020). Yang et al [37] employed DEA to obtain land use efficiency from an economic perspective in China. In addition, there are also many qualitative studies on the interaction between land use and road transport [38][39][40].…”

Section: Related Workmentioning

confidence: 99%

Efficiency Evaluation of Urban Road Transport and Land Use in Hunan Province of China Based on Hybrid Data Envelopment Analysis (DEA) Models

et al. 2019

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Urban road transport and land use (RTLU) jointly promote economic development by concentrating labor, material, and capital. This paper presents an integrated RTLU efficiency analysis that explores the degree of coordination between these two systems to provide guidance for future adaptations necessary for sustainable urban development. Both a super efficiency Data Envelopment Analysis model and window analysis were used to spatiotemporally evaluate RTLU efficiency from 2012 to 2016 in 14 cities of Hunan province, central China. The Malmquist index was decomposed into technical efficiency and technology change to reveal reasons for changes in RTLU efficiency. These evaluation results show regional disparities in efficiency across Hunan province, with western cities being the least efficient. Eight cities showed an increasing trend in RTLU efficiency while Yueyang exhibited a decreasing trend. In 13 of 14 regions, productivity improved every year. At the same time, five regions had a decline in technical efficiency even though technical progress increased in all regions. Our analysis shows that greater investment in road transport and urban construction are not enough to ensure sustainable urban growth. Policy must instead promote the full use of current resources according to local conditions to meet local, regional, and national development goals.

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“…The distributions and changes of natural and artificial surfaces, such as grasslands, forests, buildings and roads, is fundamental information that is referenced for many applications such as urban planning [1], navigation [2], land-used management [3], and forest monitoring [4]. Traditionally, this information was obtained by labor-intensive and time-consuming field surveys [5].…”

Section: Introductionmentioning

confidence: 99%

“…The main contributions of this study can be summarized as follows: (1) We design a stacked fully convolutinal networks architecture using multiple FCNs for efficient multi-label land-cover segmentation and (2) we further proposed a feature alignment framework to balance the similarity and variety of features extracted from basic models to gain extra performance.…”

Section: Introductionmentioning

confidence: 99%

A Stacked Fully Convolutional Networks with Feature Alignment Framework for Multi-Label Land-cover Segmentation

Guo

Song

et al. 2019

Remote Sensing

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Applying deep-learning methods, especially fully convolutional networks (FCNs), has become a popular option for land-cover classification or segmentation in remote sensing. Compared with traditional solutions, these approaches have shown promising generalization capabilities and precision levels in various datasets of different scales, resolutions, and imaging conditions. To achieve superior performance, a lot of research has focused on constructing more complex or deeper networks. However, using an ensemble of different fully convolutional models to achieve better generalization and to prevent overfitting has long been ignored. In this research, we design four stacked fully convolutional networks (SFCNs), and a feature alignment framework for multi-label land-cover segmentation. The proposed feature alignment framework introduces an alignment loss of features extracted from basic models to balance their similarity and variety. Experiments on a very high resolution(VHR) image dataset with six categories of land-covers indicates that the proposed SFCNs can gain better performance when compared to existing deep learning methods. In the 2nd variant of SFCN, the optimal feature alignment gains increments of 4.2% (0.772 vs. 0.741), 6.8% (0.629 vs. 0.589), and 5.5% (0.727 vs. 0.689) for its f1-score, jaccard index, and kappa coefficient, respectively.

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Urban Land Use Efficiency and Coordination in China

Cited by 38 publications

References 36 publications

Study on Vulnerability and Coordination of Water-Energy-Food System in Northwest China

Study on Vulnerability and Coordination of Water-Energy-Food System in Northwest China

Efficiency Evaluation of Urban Road Transport and Land Use in Hunan Province of China Based on Hybrid Data Envelopment Analysis (DEA) Models

A Stacked Fully Convolutional Networks with Feature Alignment Framework for Multi-Label Land-cover Segmentation

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