scholarly journals Construction and Evaluation of the Integrated Perception Ecological Environment Indicator (IPEEI) Based on the DPSIR Framework for Smart Sustainable Cities

2020 ◽  
Vol 12 (17) ◽  
pp. 7112
Author(s):  
Yingbing Liu ◽  
Wenying Du ◽  
Nengcheng Chen ◽  
Xiaolei Wang
Keyword(s):  
Comprehensive Evaluation ◽  
Regional Scale ◽  
Environmental Indicators ◽  
Ecological Environment ◽  
Entropy Weight ◽  
Dpsir Framework ◽  
The Sustainable Development ◽  
Ecological Index ◽  
Entropy Weight Method ◽  
Environment Sustainability

Ecological environment evaluation is of great significance to achieve the Sustainable Development Goals (SDGs) and promote the harmonious development of economy, society, and environment. To evaluate environmental SDGs, single environmental indicators have been analyzed at national or large regional scale in some literature, while the urban integrated environment is ignored. Therefore, it is necessary to systematically and quantically evaluate the sustainability of ecological environment integrating the water, soil, and air environment at the urban scale. This study aims to construct the Integrated Perception Ecological Environment Indicator (IPEEI) based on the Driver-Pressure-State-Impact-Response (DPSIR) framework to solve the above-mentioned problems. The IPEEI model was proposed based on the three-level association mechanism of the Domain-Theme-Element, and the DPSIR framework conforming to the relevant standards for indicator determination. Moreover, the multi-dimensional, multi-thematic, and multi-urban quantitative evaluations were conducted using the entropy weight method, and the comprehensive evaluation grades by the Jenks natural breaks classification method of the geospatial analysis. Nine cities in the Wuhan Metropolitan Area were selected as the experimental areas. The results were consistent with the Ecological Index and local government’s planning and measures, which demonstrated that IPEEI can be effectively verified and applied for the evaluation of urban ecological environment sustainability.

scholarly journals Study on Development Sustainability of Atmospheric Environment in Northeast China by Rough Set and Entropy Weight Method

2019 ◽  
Vol 11 (14) ◽  
pp. 3793 ◽  
Author(s):  
Yuangang Li ◽  
Maohua Sun ◽  
Guanghui Yuan ◽  
Qi Zhou ◽  
Jinyue Liu
Keyword(s):  
Rough Set ◽  
Northeast China ◽  
Evaluation System ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Atmospheric Environment ◽  
Entropy Weight ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Environment Sustainability

In order to evaluate the atmospheric environment sustainability in the provinces of Northeast China, this paper has constructed a comprehensive evaluation model based on the rough set and entropy weight methods. This paper first constructs a Pressure-State-Response (PSR) model with a pressure layer, state layer and response layer, as well as an atmospheric environment evaluation system consisting of 17 indicators. Then, this paper obtains the weight of different indicators by using the rough set method and conducts equal-width discrete analysis and clustering analysis by using SPSS software. This paper has found that different discrete methods will end up with different reduction sets and multiple indicators sharing the same weight. Therefore, this paper has further introduced the entropy weight method based on the weight solution determined by rough sets and solved the attribute reduction sets of different layers by using the Rosetta software. Finally, this paper has further proved the rationality of this evaluation model for atmospheric environment sustainability by comparing the results with those of the entropy weight method alone and those of the rough set method alone. The results show that the sustainability level of the atmospheric environment in Northeast China provinces has first improved, and then worsened, with the atmospheric environment sustainability level reaching the highest level of 0.9275 in 2014, while dropping to the lowest level of 0.6027 in 2017. Therefore, future efforts should focus on reducing the pressure layer and expanding the response layer. Based on analysis of the above evaluation results, this paper has further offered recommendations and solutions for the improvement of atmospheric environment sustainability in the three provinces of Northeast China.

scholarly journals Sustainable Development of Urban Metro System: Perspective of Coordination between Supply and Demand

2021 ◽  
Vol 18 (19) ◽  
pp. 10349
Author(s):  
Yinghan Zhu ◽  
Liudan Jiao ◽  
Yu Zhang ◽  
Ya Wu ◽  
Xiaosen Huo
Keyword(s):  
Sustainable Development ◽  
Comprehensive Evaluation ◽  
Supply And Demand ◽  
Indicator System ◽  
Entropy Weight ◽  
System Perspective ◽  
The Sustainable Development ◽  
Entropy Weight Method ◽  
Metro Systems ◽  
Metro System

Metro systems are gradually becoming more and more crucial in promoting the economy and society in cities. However, various challenges such as financial resources and the efficiency of utilizing these metro plans bring difficulties for metro construction. Hence, accurately evaluating the urban metro system’s development condition seems significant for the sustainable development of the urban metro system. Therefore, a comprehensive evaluation indicator system of metro development conditions containing 25 indicators from dimensions of demand and supply is established in this study, and a coupling coordination degree model combined with the entropy weight method and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method is proposed to analyze the level of metro development conditions and coupling coordination conditions of 35 cities in China. According to the calculation results, 35 cities are divided into six categories, and radar charts are constructed to promote the sustainable development of the metro system.

Coach Evaluation Method Based on AHP

2014 ◽  
Vol 551 ◽  
pp. 722-726
Author(s):  
Xin Cao
Keyword(s):  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Entropy Weight ◽  
Analytic Hierarchy ◽  
Time Line ◽  
The Hierarchical Structure ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Time Periods ◽  
Hierarchy Process

In order to evaluate coaches, this paper established the model of comprehensive evaluation based on analytic hierarchy process (AHP). Firstly, I establish the hierarchical structure of the system; Secondly, for researching the influence of time line horizon in analysis, I divided coaches into several groups by their career time and calculated the weights of indicators of each group using entropy weight method; Finally, calculate the weight between the criteria layer and objective layer. Female coach data is difficult to find, so I select 100 college basketball male coach data. Put the data into model and get a score. The score showed the final result which can give us a sort of reasonable coach list. This model can reduce the influence of different time periods for evaluation of the coach.

scholarly journals Market-oriented Operations Strategy of CCHP with Multiple Models

2019 ◽  
Vol 136 ◽  
pp. 01030
Author(s):  
Xi Wang ◽  
Wei Wang ◽  
Hao Xu ◽  
Qiang Ye ◽  
Shi Chen ◽  
...  
Keyword(s):  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Three Dimensional ◽  
Operating Mode ◽  
Operations Strategy ◽  
Commercial Building ◽  
Entropy Weight ◽  
Analytic Hierarchy ◽  
Market Participants ◽  
Entropy Weight Method

In this paper, the Market-oriented Operations Strategy of CCHP are analysed, from the perspective of construction mode, operating mode and charging mode. On this basis, a three-dimensional indexes system is established, and combining the entropy weight method with Analytic Hierarchy Process as a comprehensive evaluation method to evaluate the different market-oriented strategies of CCHP. Finally, the empirical analysis of the commercial building in southwest China shows that the market-oriented strategy of CCHP can bring more benefits to market participants when it has high applicability and great practical value.

scholarly journals Coupling and Coordination Degree between Urbanization and Ecological Environment in Guizhou, China

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Zhengqi Gong ◽  
Rongjian Mao ◽  
JingJun Jiang
Keyword(s):  
Coupling Effect ◽  
Ecological Environment ◽  
Kuznets Curve ◽  
Low Carbon ◽  
Entropy Weight ◽  
Low Carbon Economy ◽  
Effect Model ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Coordination Degree

This paper intends to examine the coupling and coordination degree (CCD) between the urbanization and ecological environment in Guizhou, China. The entropy weight method and coupling effect model were used to calculate the CCD between the urbanization and ecological environment of Guizhou and each of its prefectures. The results show the following: (1) there is an inverted U-shaped relationship between the urbanization and ecological environment deterioration in Guizhou, which can be described by the Kuznets curve; (2) both the urbanization and ecological environment improve with the increase in the CCD; (3) unlike the traditional urbanization path, the urbanization in Guizhou features the parallel progress of industrialization and ecological environment protection. These results prove another possibility of the Kuznets curve: the curve can reach the turning point without high urbanization. This new urbanization path of balance-upgrading provides an important reference for backward areas to realize low-carbon economy and sustainable development at the same time.

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