scholarly journals COMPREHENSIVE ASSESSMENT MODEL ON ACCIDENT SITUATIONS OF THE CONSTRUCTION INDUSTRY IN CHINA: A MACRO-LEVEL PERSPECTIVE

2019 ◽  
Vol 26 (1) ◽  
pp. 14-28
Author(s):  
Bo Shao ◽  
Zhigen Hu ◽  
Liyang Tong ◽  
Xiazhong Zheng ◽  
Dawei Liu
Keyword(s):  
Construction Industry ◽  
Indicator System ◽  
Comprehensive Assessment ◽  
Assessment Model ◽  
Macro Level ◽  
Entropy Weight ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Regulation Strategies ◽  
The Government

As one of the most high-risk sections, the construction industry has traditionally been the research hotspot. Yet little attention has been paid to macro-level accident situations of the entire industry. Therefore, this study develops a comprehensive assessment model on accident situations of Chinese building industry, aiming at assisting the government to better understand and improve accident situations of the entire industry. Based on China conditions, six indicators related to accident situations are firstly selected to establish an indicator system; then structure entropy weight method is proposed to determine indicator weighs, with dynamic classification method to explore the characteristics of accident situations. The results demonstrate that the provinces with poor accident situations account for 53% of all provinces, and they are mainly distributed in the central and western regions of China where there exist the underdeveloped economy. Meanwhile, some provinces experience poor accident situations that could be out-of-control, especially for Hebei. Provinces in the southeastern and northeastern regions of China perform relatively well, but they still have much improvement room for accident situations. The findings validate the rationality of the developed model and can provide valuable insights of safety regulation strategies for the government from the macro-level perspective.

Hubs Planning of Comprehensive Passenger Transportation Based on Fuzzy Entropy Weight Method

2012 ◽  
Vol 253-255 ◽  
pp. 1188-1194
Author(s):  
Shen E Xi
Keyword(s):  
Evaluation Model ◽  
Rapid Development ◽  
Indicator System ◽  
Fuzzy Entropy ◽  
Fuzzy Evaluation ◽  
Entropy Weight ◽  
Traffic Demand ◽  
Forming Mechanism ◽  
Entropy Weight Method ◽  
Weight Method

With the rapid development of highway construction, quickly increasing passenger traffic demand, the importance of layout planning of highway passenger terminal is becoming more obvious. Based on analyzing the forming mechanism of a passenger transport hub, an evaluation indicator system was established for a comprehensive transport hub from the perspectives of transport demand and supply. For overcoming the subjectivity, entropy theory was applied to determine the various indicator weights with fuzzy evaluation model. Finally, the indicator system and fuzzy entropy weight method were applied in Jiangsu province as a case study.

scholarly journals Integrated energy service demand evaluation based on AHP and entropy weight method

2020 ◽  
Vol 185 ◽  
pp. 01046
Author(s):  
Xianjun Qi ◽  
Mucong Zhou
Keyword(s):  
Clustering Algorithm ◽  
Rapid Development ◽  
Assessment Model ◽  
Entropy Weight ◽  
Analytic Hierarchy ◽  
Energy Services ◽  
Energy Service Demand ◽  
Entropy Weight Method ◽  
Energy Service ◽  
Weight Method

In the context of the energy revolution, integrated energy services have ushered in a period of opportunities for rapid development. To assess the demand of users of integrated energy services, we establish indexes of demand of integrated energy service users. We got the assessment model based on the analytic hierarchy process (AHP) and entropy weight method. The proposed assessment model is tested on 50 users, and K-means clustering algorithm is used to cluster users. The characteristics of the service requirements of each type are analysed.

scholarly journals Model of credit rating of micro enterprise based on fuzzy integration

Filomat ◽  
2018 ◽  
Vol 32 (5) ◽  
pp. 1831-1842
Author(s):  
Zhanjiang Li ◽  
Na Hou ◽  
Jinmei Su ◽  
Yuchun Liu
Keyword(s):  
Credit Rating ◽  
Evaluation Model ◽  
Indicator System ◽  
Combination Method ◽  
Entropy Weight ◽  
Integration Model ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Credit Data ◽  
Micro Enterprises

This paper selects credit data of 1688 micro enterprises in a certain commercial bank in China from 2013 to 2016 as empirical research objects. We use the combination method of t test and correlation analysis to construct credit rating indicator system, then use entropy weight method and fuzzy integration to construct credit evaluation model, and lastly divide credit rating of micro enterprises. The empirical results indicate three main points. Firstly, final constructed indicator system can significantly discriminate credit state and avoid information overlapping, and curve ROC proves credit rating indicator system is effective. Secondly, we use entropy weight method to weight indicators objectively, and evaluate credit state comprehensively based on fuzzy integration model. At last, credit rating of micro enterprises proves that upper rating has minor default enterprises, and overall micro enterprises? credit state is basically on average credit level.

scholarly journals Dynamic Simulation of Low-Carbon Competitiveness from the Perspective of Circular Economy

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Xing Li ◽  
Fuzhou Luo
Keyword(s):  
Construction Industry ◽  
Circular Economy ◽  
Development Trend ◽  
Low Carbon ◽  
Entropy Weight ◽  
Variable Weight ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Countermeasures And Suggestions ◽  
The Development Trend

In accordance with the requirements of the circular economy in Guangxi (of PRC) and the characteristics of the drivers of low-carbon competitiveness in the regional construction industry, a causal flowchart of influencing factors of the low-carbon competitiveness in the Guangxi construction industry is constructed, and a model based on system dynamics is established. After the entropy weight method is used to determine the variable weight, VENSIM PLE software is used to simulate the development trend of the low-carbon competitiveness of the Guangxi construction industry. The simulation results of the promotion effect of various factors on the development of the low-carbon competitiveness of the regional construction industry from 2010 to 2020 are obtained, and countermeasures and suggestions are proposed from the perspective of a circular economy.

scholarly journals Risk Identification and Assessment during the Excavation of the Deep Foundation Pit

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Guowang Meng ◽  
Xiang Li ◽  
Hao Liu ◽  
Bo Wu ◽  
Yi Liu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Decision Making ◽  
Assessment Model ◽  
Risk Level ◽  
Fuzzy Decision Making ◽  
Entropy Weight ◽  
Deep Foundation ◽  
Foundation Pit ◽  
Entropy Weight Method ◽  
Weight Method

This study presents a new model for identifying and evaluating high-risk factors in foundation pit excavation. The model combines the fuzzy decision-making trial and the evaluation laboratory (FDEMATEL), the entropy weight method, and the multiattributive border approximation area comparison (MABAC) method. Firstly, the risk factors such as geology, surrounding environment, monitoring, construction, and management are studied in detail. Secondly, the subjective weight is calculated by the fuzzy DEMATEL method, and the objective weight is calculated by the entropy weight method. Then, the MABAC method is introduced to identify the key risk factors of the foundation pit and the risk level of foundation pit construction. Finally, Jinan Rail Transit R2 Line Kaiyuan Road Station is used as a case study for analysis based on the risk assessment model. The results show that the model can identify key risk factors in different construction stages of foundation pits, which can provide guidance for risk management decision-making.

scholarly journals Assessment Model of Ecoenvironmental Vulnerability Based on Improved Entropy Weight Method

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Xianqi Zhang ◽  
Chenbo Wang ◽  
Enkuan Li ◽  
Cundong Xu
Keyword(s):  
Arid Regions ◽  
Evaluation Index System ◽  
Assessment Model ◽  
Driving Mechanism ◽  
Entropy Weight ◽  
Evolution Characteristics ◽  
Western Jilin Province ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Western Jilin

Assessment of ecoenvironmental vulnerability plays an important role in the guidance of regional planning, the construction and protection of ecological environment, which requires comprehensive consideration on regional resources, environment, ecology, society and other factors. Based on the driving mechanism and evolution characteristics of ecoenvironmental vulnerability in cold and arid regions of China, a novel evaluation index system on ecoenvironmental vulnerability is proposed in this paper. For the disadvantages of conventional entropy weight method, an improved entropy weight assessment model on ecoenvironmental vulnerability is developed and applied to evaluate the ecoenvironmental vulnerability in western Jilin Province of China. The assessing results indicate that the model is suitable for ecoenvironmental vulnerability assessment, and it shows more reasonable evaluation criterion, more distinct insights and satisfactory results combined with the practical conditions. The model can provide a new method for regional ecoenvironmental vulnerability evaluation.

scholarly journals Assessment on Island Ecological Vulnerability to Urbanization: A Tale of Chongming Island, China

2019 ◽  
Vol 11 (9) ◽  
pp. 2536 ◽  
Author(s):  
Baiqing Sun ◽  
Xin Ma ◽  
Martin de Jong ◽  
Xin Bao
Keyword(s):  
Assessment Model ◽  
First Century ◽  
Entropy Weight ◽  
Chongming Island ◽  
Low Level ◽  
Ecological Vulnerability ◽  
Entropy Weight Method ◽  
Weight Method ◽  
District Government

The twenty first century has witnessed an emerging research interest in island urbanization, which will set further pressure on island ecological vulnerability (IEV), especially in those islands with a fixed link to the mainland. In this contribution, the IEV of eighteen towns and townships in Chongming Island is assessed based on an “exposure (E)-sensitivity (S)-adaptive capacity (A)” framework and by means of the entropy weight method for determination of the weight of fifteen indicators. The assessment results show that: (1) An index system consisting of 1 objective, 3 sub-objectives, 8 elements, and 15 indicators can be established and tested to reflect the IEV to island urbanization; (2) The overall ecological vulnerability of Chongming Island to urbanization is at a rather low level, with only three out of eighteen towns and townships at a moderate high and high IEV level, while the spatial distribution of IEV surrounds Chengqiao, the seat of the district government, and radiates in a fan-shaped manner; (3) Chengqiao inevitably leads among the towns and townships in its IEV value, and its westward urbanization has adversely affected the IEV of adjacent towns Xinhe and Jianshe. (4) Chenjia’s moderate low level of IEV comes as a surprise to the authors, due largely to its proximity to Shanghai. Our proposed E-S-A framework and assessment model could be rationally applied to similar islands with fixed links to the mainland nationally and internationally, which is the major contribution of our study.

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