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The aim of this study is to define strategies to increase green nuclear energy investments. Within this context, a model is suggested that includes two different stages. Firstly, the consensus‐based fuzzy preferences are determined for these investments. For this purpose, four different TRIZ‐based strategies are identified, which have an influence on the effectiveness of these projects. Furthermore, in the second stage, the significance weights of these strategies are calculated by considering the spherical fuzzy DEMATEL approach. The findings indicate that dynamicity is the most appropriate TRIZ strategy for the effectiveness of green nuclear energy investments. In addition, the prior action is another significant strategy that should also be considered in these projects. It is obvious that sufficient technological infrastructure is very important for the performance of green nuclear power plants and there is a rapid development of this technology. Because of this situation, these nuclear power plants should be designed effectively so that they can be adoptable to any changes in the technology. In this scope, qualified personnel should be employed, and communication between departments should be effective and of high quality. With the help of these issues, technological changes can be adopted more easily.
Guanghui Yuan; Fei Xie; Hasan Dinçer; Serhat Yüksel. The theory of inventive problem solving (TRIZ) ‐based strategic mapping of green nuclear energy investments with spherical fuzzy group decision‐making approach. International Journal of Energy Research 2021, 45, 12284 -12300.
AMA StyleGuanghui Yuan, Fei Xie, Hasan Dinçer, Serhat Yüksel. The theory of inventive problem solving (TRIZ) ‐based strategic mapping of green nuclear energy investments with spherical fuzzy group decision‐making approach. International Journal of Energy Research. 2021; 45 (8):12284-12300.
Chicago/Turabian StyleGuanghui Yuan; Fei Xie; Hasan Dinçer; Serhat Yüksel. 2021. "The theory of inventive problem solving (TRIZ) ‐based strategic mapping of green nuclear energy investments with spherical fuzzy group decision‐making approach." International Journal of Energy Research 45, no. 8: 12284-12300.
As a very important passenger transportation model in the era of sharing economy, the online ride-hailing (ORH) has also caused new traffic management issues while improving resource allocation. Although regulations and policies have imposed macro-level supervision on the ORH market, they have not prevented some drivers from cheating on platforms’ subsidies and jeopardizing passengers’ safeties at the source. In order to realize the voluntary and sustainable ORH supervision, and enable relevant participants to actively supervise, report and comply with rules, this paper constructs an evolutionary game model among the platform, passengers and drivers. Based on the bounded rationality and expected benefits of the participants, the main factors determining the optimal strategies are analyzed. At the same time, the evolution path and the equilibrium state of the three game groups are studied by numerical simulation. The results show that important factors of realizing the benign supervision of ORH include minimizing the reporting costs of passengers, making penalties for drivers who violate the rules far greater than the illicit incomes, realizing the platform supervision costs less than the sum of penalty incomes and positive social effects. In addition, improving rewards for reporting can promote the continuity of passengers’ participation but increase the possibility of false reports. Therefore, the platform needs to consider the cost of identifying false information when designing the reward amount.
Dongping Pu; Fei Xie; Guanghui Yuan. Active Supervision Strategies of Online Ride-Hailing Based on the Tripartite Evolutionary Game Model. IEEE Access 2020, 8, 149052 -149064.
AMA StyleDongping Pu, Fei Xie, Guanghui Yuan. Active Supervision Strategies of Online Ride-Hailing Based on the Tripartite Evolutionary Game Model. IEEE Access. 2020; 8 (99):149052-149064.
Chicago/Turabian StyleDongping Pu; Fei Xie; Guanghui Yuan. 2020. "Active Supervision Strategies of Online Ride-Hailing Based on the Tripartite Evolutionary Game Model." IEEE Access 8, no. 99: 149052-149064.
The coordinated development evaluation problem of a regional eco-green cooperative can be formulated as a heterogeneous multi-criteria decision-making (HMCDM) problem. Evaluation information can contain qualitative information and quantitative information, but it cannot determine the weight of the interdependence criteria subjectively. Firstly, this paper constructs an evaluation index system for regional ecological green coordinated development. The system includes four dimensions of coordinated development: the regional ecological environment, economic environment, social environment and policy environment, including 20 indicators with heterogeneous and multi-attribute characteristics. Secondly, we construct a heterogeneous multi-attribute decision-making model by calculating the relative closeness, and use the closeness to construct the value function to determine the weight index of each attribute. Finally, we make an empirical study on the performance evaluation of regional ecological green coordinated development of 27 cities in the central area of the Yangtze River Delta in China. The results show that the main driving force for the improvement of the level of regional ecological green coordinated development is the high-quality economic development, and the main obstacles to the degree of coordinated development of regional ecological green development are high energy consumption, high pollution and high emissions in industrial development; and a result found by sorting the degree of the regional ecological green coordinated development in the Yangtze River Delta city group. The heterogeneous multi-attribute decision model we proposed can effectively solve the weights of the ecological green collaborative development indicators, and the method has feasibility and effectiveness.
Yunpeng Yang; Zhiqiang Liu; Hongmin Chen; YaQiong Wang; Guanghui Yuan. Evaluating Regional Eco-Green Cooperative Development Based on a Heterogeneous Multi-Criteria Decision-Making Model: Example of the Yangtze River Delta Region. Sustainability 2020, 12, 3029 .
AMA StyleYunpeng Yang, Zhiqiang Liu, Hongmin Chen, YaQiong Wang, Guanghui Yuan. Evaluating Regional Eco-Green Cooperative Development Based on a Heterogeneous Multi-Criteria Decision-Making Model: Example of the Yangtze River Delta Region. Sustainability. 2020; 12 (7):3029.
Chicago/Turabian StyleYunpeng Yang; Zhiqiang Liu; Hongmin Chen; YaQiong Wang; Guanghui Yuan. 2020. "Evaluating Regional Eco-Green Cooperative Development Based on a Heterogeneous Multi-Criteria Decision-Making Model: Example of the Yangtze River Delta Region." Sustainability 12, no. 7: 3029.
Democratic People’s Republic of Korea is the hub of Northeast Asia and its geopolitics is of great significance, whose foreign policy trend is not only related to the peace and stability of the region, but also one of the major variables affecting cooperation in Northeast Asia. According to the data on North Korea’s grain yield collected by the Korea National Statistical Office, supplemented by the data on international food aid to North Korea collected by the World Food Programme, and combined with the judgment of 10 experts from China, South Korea and the United States on the Hawk and Dove Index of North Korea’s foreign policy from 1990 to 2018, we use empirical mode decomposition wavelet transform data analysis and feature extraction methods to study the impact relationship, and OLS regression analysis to study the actual cycle of transformation. We found that: (1) North Korea’s grain output is an important indicator that affects its foreign policy tendency (hawks or doves). The hawk refers to those who take a tough attitude in policy and prefer rigid means such as containment, intimidation and conflicts; the dove refers to those who take mild attitude in policy, and prefer to adopt flexible means such as negotiation, cooperation, and coordination. When it comes to grain yield increase, North Korea’s foreign policy tends to be hawkish; when it comes to grain reduction, its dovish tendency will be on the rise. This is because food increase can alleviate grain shortage in North Korea and enhance its ability to adopt tough policies in its foreign policy. However, decreases in grain production will lead to adopt a more moderate policy and seek international cooperation and assistance to ease the internal pressure caused by grain shortage. (2) North Korea’s grain yield influencing its foreign policy (hawks or doves) has a lag phase of about 3 years. Such being the case, the accumulated grain during the production increase period has enhanced North Korea’s ability to cope with grain reduction in the short term. Secondly, the North Korean government blames the reduction on foreign sanctions, which will instead make the North Korean people more determined to resist external pressure. Therefore, we can use the changes in North Korea’s grain output to predict the direction of its foreign policy so as to more accurately judge the development of the Korean Peninsula and more effectively promote the process of peace and cooperation in Northeast Asia. We concluded that grain production will affect its policy sustainability in North Korea.
Chi Zhang; Jun He; Guanghui Yuan. An Empirical Analysis on DPRK: Will Grain Yield Influence Foreign Policy Tendency? Sustainability 2020, 12, 2711 .
AMA StyleChi Zhang, Jun He, Guanghui Yuan. An Empirical Analysis on DPRK: Will Grain Yield Influence Foreign Policy Tendency? Sustainability. 2020; 12 (7):2711.
Chicago/Turabian StyleChi Zhang; Jun He; Guanghui Yuan. 2020. "An Empirical Analysis on DPRK: Will Grain Yield Influence Foreign Policy Tendency?" Sustainability 12, no. 7: 2711.
Sustainable development is a long-term solution for urban development and a guideline for urban development. Only by better coordination around the population, resources, and environment can the city achieve sustained and steady development. In order to evaluate the efficiency of sustainable urban development under environmental constraints, this paper takes 13 prefecture-level cities in Jiangsu Province as an example. To address the infeasibility problem in the Malmquist-Luenberger (M-L) index, a modified M-L index analysis method based on the new directional distance function (DDF) is adopted. Combined with the consideration of desirable and undesirable outputs, a linear programming model for sustainable urban development evaluation is constructed to provide a scientific decision-making basis for sustainable development of the city. The results show that the growth of sustainable urban development efficiency is not only related to desirable outputs but also affected by undesirable outputs. Technical change is the main driver of most sustainable urban development efficiency growth. However, efficiency changes also affect the sustainable development potential of cities to a certain extent. Through the modified M-L index analysis, we analyze the characteristics of different regions of Jiangsu Province, the changes in efficiency and the impact of technological innovation on sustainable urban development, and give policy recommendations to promote sustainable urban development.
YaQiong Wang; Guanghui Yuan; Ying Yan; Xueliang Zhang. Evaluation of Sustainable Urban Development under Environmental Constraints: A Case Study of Jiangsu Province, China. Sustainability 2020, 12, 1049 .
AMA StyleYaQiong Wang, Guanghui Yuan, Ying Yan, Xueliang Zhang. Evaluation of Sustainable Urban Development under Environmental Constraints: A Case Study of Jiangsu Province, China. Sustainability. 2020; 12 (3):1049.
Chicago/Turabian StyleYaQiong Wang; Guanghui Yuan; Ying Yan; Xueliang Zhang. 2020. "Evaluation of Sustainable Urban Development under Environmental Constraints: A Case Study of Jiangsu Province, China." Sustainability 12, no. 3: 1049.
Focusing on the topic of water environment safety of China, this paper has selected the three northeast provinces of China as the research object due to their representativeness in economic development and resource security. By using the Entropy Weight Method, the Grey Correlation Analysis Method, and the Principal Component Analysis Method, this paper has first constructed a water environment safety evaluation system with 17 indicators from the economic, environmental, and ecological aspects. Furthermore, this paper has screened the initially selected indicators by the Principal Component Analysis Method and finally determined 11 indicators as the evaluation indicators. After indicator screening, this paper has adopted the improved Fuzzy Comprehensive Evaluation Method to evaluate the water environment safety of the three northeast provinces of China and obtained the change in water environment safety of different provinces from 2009 to 2017. The results show that the overall water environment safety of the region had improved first but worsened afterward, and that in terms of water safety level, Jilin Province ranked first, followed by Heilongjiang Province and Liaoning Province. The three factors that have the greatest impact on the water environment safety of the three provinces are: Liaoning—Chemical Oxygen Demand (score: 17.10), Per Capita Disposable Income (score: 13.50), and Secondary Industry Output (score: 11.50); Heilongjiang—Chemical Oxygen Demand (score: 18.64), Per Capita Water Resources (score: 12.75), and Concentration of Inhalable Particles (score: 10.89); Jilin—Per Capita Water Resources (score: 15.75), Chemical Oxygen Demand (score: 14.87), and Service Industry Output (score: 11.55). Based on analysis of the evaluation results, this paper has proposed corresponding policy recommendations to improve the water environment safety and promote sustainable development in the northeast provinces of China.
Yuangang Li; Maohua Sun; Guanghui Yuan; Yujing Liu. Evaluation Methods of Water Environment Safety and Their Application to the Three Northeast Provinces of China. Sustainability 2019, 11, 5135 .
AMA StyleYuangang Li, Maohua Sun, Guanghui Yuan, Yujing Liu. Evaluation Methods of Water Environment Safety and Their Application to the Three Northeast Provinces of China. Sustainability. 2019; 11 (18):5135.
Chicago/Turabian StyleYuangang Li; Maohua Sun; Guanghui Yuan; Yujing Liu. 2019. "Evaluation Methods of Water Environment Safety and Their Application to the Three Northeast Provinces of China." Sustainability 11, no. 18: 5135.
Faced with the deterioration of the environment and resource shortages, countries have turned their attention to renewable energy and have actively researched and applied renewable energy. At present, a large number of studies have shown that renewable energy can effectively improve the environment and control the reduction of resources. However, there are few studies on how renewable energy improves the environment through its influencing factors. Therefore, this paper mainly analyses the relationship between wind energy and carbon emissions in renewable energy and uses Chinese data as an example for the case analysis. Based on the model and test methods, this paper uses the 1990–2018 data from the China Energy Statistical Yearbook to study and analyse the correlation between wind energy and carbon emissions and finally gives suggestions for wind energy development based on environmental improvements.
Wenhui Zhao; Ruican Zou; Guanghui Yuan; Hui Wang; Zhongfu Tan. Long-Term Cointegration Relationship between China’s Wind Power Development and Carbon Emissions. Sustainability 2019, 11, 4625 .
AMA StyleWenhui Zhao, Ruican Zou, Guanghui Yuan, Hui Wang, Zhongfu Tan. Long-Term Cointegration Relationship between China’s Wind Power Development and Carbon Emissions. Sustainability. 2019; 11 (17):4625.
Chicago/Turabian StyleWenhui Zhao; Ruican Zou; Guanghui Yuan; Hui Wang; Zhongfu Tan. 2019. "Long-Term Cointegration Relationship between China’s Wind Power Development and Carbon Emissions." Sustainability 11, no. 17: 4625.
The evaluation of China’s air pollution and the effectiveness of its governance policies is currently a topic of general concern in the academic community. We have improved the traditional evaluation method to construct a comprehensive air quality assessment model based on China’s major air pollutants. Using the daily air pollutant data of 2015–2018, we calculated and analyzed the monthly air quality of nine cities in the Pearl River Delta of China, and conducted a comparative study on the effect of the air pollution control policies of the cities in the Pearl River Delta. We found that the air quality control policies in those nine cities were not consistent. Specifically, the pollution control policies of Guangzhou and Foshan have achieved more than 20% improvement. The pollution control policies of Dongguan and Zhaoqing have also achieved more than 10% improvement. However, due to the relative lag of the formulation and implementation of air pollution control policies, the air quality of Jiangmen, Zhuhai and Zhongshan has declined. Based on the analysis of the air quality assessment results and the effects of governance policies in each city during the study period, we propose suggestions for further improvement of the effectiveness of air pollution control policies in the region.
Hao Gao; Weixin Yang; Yunpeng Yang; Guanghui Yuan. Analysis of the Air Quality and the Effect of Governance Policies in China’s Pearl River Delta, 2015–2018. Atmosphere 2019, 10, 412 .
AMA StyleHao Gao, Weixin Yang, Yunpeng Yang, Guanghui Yuan. Analysis of the Air Quality and the Effect of Governance Policies in China’s Pearl River Delta, 2015–2018. Atmosphere. 2019; 10 (7):412.
Chicago/Turabian StyleHao Gao; Weixin Yang; Yunpeng Yang; Guanghui Yuan. 2019. "Analysis of the Air Quality and the Effect of Governance Policies in China’s Pearl River Delta, 2015–2018." Atmosphere 10, no. 7: 412.
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.
Yuangang Li; Maohua Sun; Guanghui Yuan; Qi Zhou; Jinyue Liu. Study on Development Sustainability of Atmospheric Environment in Northeast China by Rough Set and Entropy Weight Method. Sustainability 2019, 11, 3793 .
AMA StyleYuangang Li, Maohua Sun, Guanghui Yuan, Qi Zhou, Jinyue Liu. Study on Development Sustainability of Atmospheric Environment in Northeast China by Rough Set and Entropy Weight Method. Sustainability. 2019; 11 (14):3793.
Chicago/Turabian StyleYuangang Li; Maohua Sun; Guanghui Yuan; Qi Zhou; Jinyue Liu. 2019. "Study on Development Sustainability of Atmospheric Environment in Northeast China by Rough Set and Entropy Weight Method." Sustainability 11, no. 14: 3793.
In order to optimize the economic dispatching of the electric power system, this paper has proposed a new Hybrid Intelligent Algorithm based on the Particle Swarm Optimization (PSO) and Artificial Fish Swarm Algorithm (AFSA). Basing on a comprehensive dispatching optimization model with the goal of minimizing coal consumption, pollution emission and purchasing cost, we have utilized this Hybrid Intelligent Algorithms to solve the integrated weighted dispatching optimization model for five units and ten units respectively, considering the node flow balance of the power system, as well as the system's active power balance, positive and negative reserve constraints, transmission capacity constraints, unit output constraints, node voltage constraints, unit output power rise rate constraints, unit minimum runtime and downtime constraints, etc. The calculation results in the case study of five units are that coal consumption is 10,074.17 hundred-yuan, carbon emission is 11,280.75 kg, and electric power cost is 12,827.54 hundred-yuan. The calculation results in the case study of ten units, given a population size of 200, are that coal consumption is 31,305.45 hundred-yuan, carbon emission is 13,982.06 kg, and electric power cost is 16,754.79 hundred-yuan; while given a population size of 30, coal consumption is 29,221.16 hundred-yuan, carbon emission is 10,921.21 kg, and electric power cost is 16,521.56 hundred-yuan. Moreover, we have obtained the above results with an improvement of 35.56% in calculation efficiency.
Guanghui Yuan; Weixin Yang. Study on optimization of economic dispatching of electric power system based on Hybrid Intelligent Algorithms (PSO and AFSA). Energy 2019, 183, 926 -935.
AMA StyleGuanghui Yuan, Weixin Yang. Study on optimization of economic dispatching of electric power system based on Hybrid Intelligent Algorithms (PSO and AFSA). Energy. 2019; 183 ():926-935.
Chicago/Turabian StyleGuanghui Yuan; Weixin Yang. 2019. "Study on optimization of economic dispatching of electric power system based on Hybrid Intelligent Algorithms (PSO and AFSA)." Energy 183, no. : 926-935.
In this paper, we propose a multiplex networks model to understand the spreading dynamics between disease and information with different activity characteristics for individuals at different rates. The paper establishes a multiplex networks model of information and disease transmission at the same time. The top layer is the information layer of virtual contacts and the lower layer is the disease layer of physical contacts. In the top layer of virtual contacts, individuals have their own characteristics, either positive or negative. The positive individuals spread disease prevention information with a high probability, but the individuals in the negative state spread disease prevention information with a low probability. At the same time, positive and negative individuals can change their behavior habits with a certain probability. In the disease layer of physical contacts, individuals are either active or inactive. The active individuals are easily infected by a neighboring individual, but the individuals in an inactive state can only be affected by active neighbors. And the active and inactive individuals can change their behavior habits with a certain probability. According to the mean-field theory, we have analyzed the dynamic evolution of the system and derived the disease thresholds. Finally, we have validated the theoretical analysis by numerical simulations on scale-free networks and discussed the changes in disease spreading under different individual activities. Our results indicate the individual activity of the information layer and disease layer has a certain impact on the disease spreading.
YaQiong Wang; Guanghui Yuan; Chongjun Fan; Yuxin Hu; Yunpeng Yang. Disease spreading model considering the activity of individuals on complex networks. Physica A: Statistical Mechanics and its Applications 2019, 530, 121393 .
AMA StyleYaQiong Wang, Guanghui Yuan, Chongjun Fan, Yuxin Hu, Yunpeng Yang. Disease spreading model considering the activity of individuals on complex networks. Physica A: Statistical Mechanics and its Applications. 2019; 530 ():121393.
Chicago/Turabian StyleYaQiong Wang; Guanghui Yuan; Chongjun Fan; Yuxin Hu; Yunpeng Yang. 2019. "Disease spreading model considering the activity of individuals on complex networks." Physica A: Statistical Mechanics and its Applications 530, no. : 121393.
Identifying the future influential papers among the newly published ones is an important yet challenging issue in bibliometrics. As newly published papers have no or limited citation history, linear extrapolation of their citation counts—which is motivated by the well-known preferential attachment mechanism—is not applicable. We translate the recently introduced notion of discoverers to the citation network setting, and show that there are authors who frequently cite recent papers that become highly-cited in the future; these authors are referred to as discoverers. We develop a method for early identification of highly-cited papers based on the early citations from discoverers. The results show that the identified discoverers have a consistent citing pattern over time, and the early citations from them can be used as a valuable indicator to predict the future citation counts of a paper. The discoverers themselves are potential future outstanding researchers as they receive more citations than average.
Gui-Yuan Shi; Yi-Xiu Kong; Guang-Hui Yuan; Rui-Jie Wu; An Zeng; Matúš Medo. Discoverers in scientific citation data. Journal of Informetrics 2019, 13, 717 -725.
AMA StyleGui-Yuan Shi, Yi-Xiu Kong, Guang-Hui Yuan, Rui-Jie Wu, An Zeng, Matúš Medo. Discoverers in scientific citation data. Journal of Informetrics. 2019; 13 (2):717-725.
Chicago/Turabian StyleGui-Yuan Shi; Yi-Xiu Kong; Guang-Hui Yuan; Rui-Jie Wu; An Zeng; Matúš Medo. 2019. "Discoverers in scientific citation data." Journal of Informetrics 13, no. 2: 717-725.
China is currently facing the threat of serious air pollution and has adopted a series of governance policies. However, the fact that PM2.5 indicator in some regions often reached far higher than the official threshold since 2015 has reflected that China's current Air Quality Index system for measuring and evaluating air quality is still not perfect. Therefore, this paper extended the current air quality indicator system officially used by China. Using improved Entropy-weighted Factor Method and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) Method, we calculated the air quality scores of 26 cities in China's most economically developed region - the Yangtze River Delta region based on their daily average concentration numbers of main air pollutants from February 2015 to January 2018. Based on the air quality calculation result, we further studied the effectiveness of air pollution control policies of this region by using the Box-Jenkins Model with fuzzy strategy parameter adjustment. Our findings are: the pollution control policy is more effective to Shanghai, Jiangsu and Zhejiang. The air quality score of Shanghai has improved by 51.07% compared with its level before the policy. Meanwhile, the air quality improvement in Zhejiang province has shown the characteristics of “Campaign-style Governance” right before the G20 Summit, especially that in Hangzhou, the host city of the Summit. On the other hand, maybe due to late start of air pollution control programs, the cities of Anhui province haven't shown obvious improvements in air quality, and some cities have even seen deterioration in air quality scores during our study period.
Weixin Yang; Guanghui Yuan; Jingti Han. Is China's air pollution control policy effective? Evidence from Yangtze River Delta cities. Journal of Cleaner Production 2019, 220, 110 -133.
AMA StyleWeixin Yang, Guanghui Yuan, Jingti Han. Is China's air pollution control policy effective? Evidence from Yangtze River Delta cities. Journal of Cleaner Production. 2019; 220 ():110-133.
Chicago/Turabian StyleWeixin Yang; Guanghui Yuan; Jingti Han. 2019. "Is China's air pollution control policy effective? Evidence from Yangtze River Delta cities." Journal of Cleaner Production 220, no. : 110-133.
This paper calculated and evaluated the air quality of 13 cities in China’s Beijing-Tianjin-Hebei (BTH) region from February 2015 to January 2018 based on the extended AQI (Air Quality Index) Indicator System. By capturing the heterogeneous information in major pollutant indicators and the standardization process, we depicted the important effect of other relevant features of pollutant indicators beyond single-point data. Based on that, we further calculated the assessment value of the air quality of different cities in the BTH region by using the Collaborative Filtering Backward Cloud Model to construct differentiated weights of different indicators. With help of the Back Propagation (BP) Neutral Network, we simulated the effect of the pollution control policies of the Chinese government targeting air pollution since March 2016. Our conclusion is: the pollution control policies have improved the air quality of Beijing by 55.74%, and improved the air quality of Tianjin by 34.38%; while the migration of polluting enterprises from Beijing and Tianjin has caused different changes in air quality in different cities of Hebei province—we saw air quality deterioration by 58.60% and 38.68% in Shijiazhuang and Handan city respectively.
Guanghui Yuan; Weixin Yang. Evaluating China’s Air Pollution Control Policy with Extended AQI Indicator System: Example of the Beijing-Tianjin-Hebei Region. Sustainability 2019, 11, 939 .
AMA StyleGuanghui Yuan, Weixin Yang. Evaluating China’s Air Pollution Control Policy with Extended AQI Indicator System: Example of the Beijing-Tianjin-Hebei Region. Sustainability. 2019; 11 (3):939.
Chicago/Turabian StyleGuanghui Yuan; Weixin Yang. 2019. "Evaluating China’s Air Pollution Control Policy with Extended AQI Indicator System: Example of the Beijing-Tianjin-Hebei Region." Sustainability 11, no. 3: 939.
China will impose both renewable portfolio standards (RPS) and emissions trading (ET) on the electricity industry, but the product competition in the retail market and the influence of the supply chain network structure has not been investigated. This paper studies policy effects by comparing equilibrium results under different supply chain network structures, and we use the concept of consumer environmental awareness to capture a product’s substitutability. Results indicate that: (1) Both increases in the permit price and the rise of the quota obligation reduces the aggregate profits of the supply chain, but the former rather than the latter increases the profits of the renewable power generating company; (2) the differential pricing improves the retailer’s flexibility in the charged price when confronting increases in the permit price and the quota obligation; (3) higher consumer environmental awareness makes the supply chain less profitable and increases the costs of ET suffered by the consumer; (4) the cooperation between the thermal power generating company and the retailer significantly increases the aggregated profits of the supply chain, although the cooperative profit is sensitive to environmental awareness. Moreover, the consumer suffers the highest costs that the retailer passes on them, and may prefer to feel that the emission cost and compliance cost are less affordable. In contrast, the cooperation between power generating companies removes the influence of environmental awareness, but the aggregated profits of the supply chain are smaller than in the decentralized decision scenario.
Wenhui Zhao; Xiongjiantao Bao; Guanghui Yuan; Xiaomei Wang; Hongbo Bao. The Equilibrium Model for the Coexistence of Renewable Portfolio Standards and Emissions Trading: The Supply Chain Analysis. Energies 2019, 12, 439 .
AMA StyleWenhui Zhao, Xiongjiantao Bao, Guanghui Yuan, Xiaomei Wang, Hongbo Bao. The Equilibrium Model for the Coexistence of Renewable Portfolio Standards and Emissions Trading: The Supply Chain Analysis. Energies. 2019; 12 (3):439.
Chicago/Turabian StyleWenhui Zhao; Xiongjiantao Bao; Guanghui Yuan; Xiaomei Wang; Hongbo Bao. 2019. "The Equilibrium Model for the Coexistence of Renewable Portfolio Standards and Emissions Trading: The Supply Chain Analysis." Energies 12, no. 3: 439.
Bipartite matching problem is to study two disjoint groups of agents who need to be matched pairwise. It can be applied to many real-world scenarios and explain many social phenomena. In this article, we study the effect of competition on bipartite matching problem by introducing conformity into the preference structure. The results show that a certain amount of competition can improve the overall utility of society and also eliminate the giant shift of social utility when matching unequal numbers of men and women.
Yi-Xiu Kong; Guanghui Yuan; Lei Zhou; Rui-Jie Wu; Gui-Yuan Shi. Competition May Increase Social Utility in Bipartite Matching Problem. Complexity 2018, 2018, 1 -7.
AMA StyleYi-Xiu Kong, Guanghui Yuan, Lei Zhou, Rui-Jie Wu, Gui-Yuan Shi. Competition May Increase Social Utility in Bipartite Matching Problem. Complexity. 2018; 2018 ():1-7.
Chicago/Turabian StyleYi-Xiu Kong; Guanghui Yuan; Lei Zhou; Rui-Jie Wu; Gui-Yuan Shi. 2018. "Competition May Increase Social Utility in Bipartite Matching Problem." Complexity 2018, no. : 1-7.
The illegal use of electronic seals has the potential to harm both the contracting parties and the country’s economy. This paper studies the phylogenetic relationship between government regulatory bodies and enterprise behaviors through the payoff matrix and an evolutionary game model. According to both the equilibrium point and stability of the game’s dynamic replication relationship phase diagram, this paper analyzes the incentive effects of the legal use of management costs and the illegal use of economic penalties, government regulatory costs, and credit ratings on the use of electronic seals. The results show that the steady state does not exist as a time extension of government supervision and standardize the behaviors of electronic seal enterprises. In addition, the selection specification evolutionary path using electronic seals is different based on the different initial conditions. The use of the restricted speed and the evolutionary result not only depends on the choice of the enterprise’s standard initial probability of usage behavior but also on the initial probability of government departmental supervision. This occurs without using any means of supervision and penalty measures under the conditions that all enterprises tend to choose not to regulate the use of the electronic seal. Due to regulation with a low probability of no significant effect of the standard, the need to reach a certain level of supervision to regulate the use of electronic seals was improved. The government simply increasing the penalty is not an effective solution since the electronic seal does not regulate the problematic use of credit rating factors. On the one hand, it reduces the probability of government regulations, and on the other hand, it greatly improves the standard probability of the use of electronic seals. Finally, conclusions are based on the governmental point of view to promote the use of electronic seal specification recommendations.
Hejun Liang; Guanghui Yuan; Yunpeng Yang; Jianzheng Yang; Chongjun Fan. The Evolutionary Game of Electronic Seal Usage Behaviour Supervision From the Perspective of Credit and Penalty. IEEE Access 2018, 6, 57751 -57762.
AMA StyleHejun Liang, Guanghui Yuan, Yunpeng Yang, Jianzheng Yang, Chongjun Fan. The Evolutionary Game of Electronic Seal Usage Behaviour Supervision From the Perspective of Credit and Penalty. IEEE Access. 2018; 6 ():57751-57762.
Chicago/Turabian StyleHejun Liang; Guanghui Yuan; Yunpeng Yang; Jianzheng Yang; Chongjun Fan. 2018. "The Evolutionary Game of Electronic Seal Usage Behaviour Supervision From the Perspective of Credit and Penalty." IEEE Access 6, no. : 57751-57762.
The goal of the stable marriage problem is to match by pair two sets composed by the same number of elements. Due to its widespread applications in the real world, especially the unique importance to the centralized matchmaker, a very large number of questions have been extensively studied in this field. This article considers a generalized form of the stable marriage problem, where different numbers of men and women need to be matched pairwise and the emergence of single men or women is inevitable. Theoretical analysis and numerical simulations confirm that even a small deviation on the number of men and women from the equality condition can have a large impact on the matching solution of the Gale-Shapley algorithm. These results provide insights to many of the real-world applications when matching two sides with an unequal number.
Gui-Yuan Shi; Yi-Xiu Kong; Bo-Lun Chen; Guanghui Yuan; Rui-Jie Wu. Instability in Stable Marriage Problem: Matching Unequally Numbered Men and Women. Complexity 2018, 2018, 1 -5.
AMA StyleGui-Yuan Shi, Yi-Xiu Kong, Bo-Lun Chen, Guanghui Yuan, Rui-Jie Wu. Instability in Stable Marriage Problem: Matching Unequally Numbered Men and Women. Complexity. 2018; 2018 ():1-5.
Chicago/Turabian StyleGui-Yuan Shi; Yi-Xiu Kong; Bo-Lun Chen; Guanghui Yuan; Rui-Jie Wu. 2018. "Instability in Stable Marriage Problem: Matching Unequally Numbered Men and Women." Complexity 2018, no. : 1-5.
In this paper, we construct a multi-objective location and channel model for ULS network to alleviate the urban traffic congestion problem. First, we construct a multi-objective node selection model and obtain the position of the first-level nodes in the ULS network by using agglomerative hierarchical clustering method. Then, we obtain the position of the second-level nodes in the ULS network by using the greedy algorithm. We also calculate the service scope, actual traffic volume and transport rate of first-level node for each node based on the determined node group. After that, we select the optimal channel scheme to make nodes at different levels of the ULS and its load more balanced by using the plant growth simulation algorithm. We extract the key variables of the problem, quantify some indicators with reasonable quantification, construct a multi-objective location and channel model based on the actual logistics situation for the specific region and achieve reasonable results to meet multiple objectives. Therefore, the model could be used as a reference for the construction of urban ULS network.
Hejun Liang; Guanghui Yuan; Jingti Han; Lily Sun. A multi-objective location and channel model for ULS network. Neural Computing and Applications 2018, 31, 35 -46.
AMA StyleHejun Liang, Guanghui Yuan, Jingti Han, Lily Sun. A multi-objective location and channel model for ULS network. Neural Computing and Applications. 2018; 31 (S1):35-46.
Chicago/Turabian StyleHejun Liang; Guanghui Yuan; Jingti Han; Lily Sun. 2018. "A multi-objective location and channel model for ULS network." Neural Computing and Applications 31, no. S1: 35-46.