A SOMNN Model for Transport Risk Assessment of Hazardous Materials by Rail

2012 ◽  
Vol 629 ◽  
pp. 778-783
Author(s):  
Ke Pan ◽  
Shouan Guan
Keyword(s):  
Risk Assessment ◽  
System Analysis ◽  
Safety Management ◽  
Hazardous Materials ◽  
Economic Loss ◽  
Assessment Model ◽  
Assessment Index ◽  
System A ◽  
China National Petroleum Corporation ◽  
Assessment Index System

Railway siding for transport of hazardous materials is an important way in transporting of hazardous materials in China and they often result in catastrophic consequences for environment and society with a great deal of economic loss. Risk assessment for railway siding is an effective way to ensure its operational safety. This paper focuses on the application of self-organizing neural network (SOMNN) to assess the risk of the railway siding operational system and classify its risk factors. In this work, the system analysis method based on the characteristics of railway siding for hazardous materials is first used to establish the transport risk assessment index system. A comprehensive risk assessment model of railway siding has been developed with the SOMNN theory to improve present methods available for risk assessment of rail siding’s safety. A field case study about 15 railway slides for transporting of oil in Jilin broach center of China National Petroleum Corporation is undertaken so that the effectiveness of the proposed approach could be verified. The result is in line with the actual situation and indicates that this method used is feasible and rational. This model provides a new method for transport risk assessment of hazardous materials by rail. The method is also proved more efficient for both risk assessment and safety management. The work specified in this paper can be as reference to the assessment work in China.

Safety Risk Assessment of Highway Special Maintenance Project Based on BP Neural Network

2011 ◽  
Vol 368-373 ◽  
pp. 3175-3179
Author(s):  
Wei Tian ◽  
Hui Min Li ◽  
Rui Qi Yan ◽  
Yun Xiang Hu
Keyword(s):  
Neural Network ◽  
Risk Assessment ◽  
Bp Neural Network ◽  
Safety Management ◽  
Construction Safety ◽  
Assessment Model ◽  
Risk Assessment Model ◽  
Safety Risk ◽  
Assessment Index ◽  
Assessment Index System

16 items of assessment indexes are selected to build up the safety risk assessment index system of special maintenance project according to the construction safety characteristics of highway special maintenance project, based on which, the safety risk assessment model of special maintenance project based on BP neural network is brought forward. The assessment model has been trained, checked and analyzed through example and it turns out that the effective safety risk assessment of highway special maintenance project can be calculated based on this model, which also supplies decision-making basis for the project safety management.

Analytical model for assessing collapse risk during mountain tunnel construction

2016 ◽  
Vol 53 (2) ◽  
pp. 326-342 ◽  
Author(s):  
Guo-Hua Zhang ◽  
Yu-Yong Jiao ◽  
Li-Biao Chen ◽  
Hao Wang ◽  
Shu-Cai Li
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Index System ◽  
Assessment Model ◽  
Tunnel Construction ◽  
Assessment Index ◽  
Assessment Index System ◽  
Geological Prediction ◽  
Tunnel Collapse ◽  
Mountain Tunnel

Risk management for safety in mountain tunnel construction is of great significance. However, existing research lags behind engineering applications. In this paper, the risk of mountain tunnel collapse is used as an example to illustrate a new assessment method based on case-based reasoning, advanced geological prediction, and rough set theory. First, the risk surroundings and risk factors involved in tunnel collapse are integrated and summarized, and a risk assessment index system is established for tunnel collapse. At the same time, because the dynamic response parameters obtained by the advanced geological prediction usually indicate a typical geological structure, sensitive response parameters are introduced in the assessment index system. Advanced risk assessment can be performed for tunnel sections at a certain distance ahead of the tunnel face. Second, the major risk surroundings and the advanced geological prediction results are analyzed for the tunnel under assessment. Cases with similar attribute characteristics are selected via comparison with previous cases. Attribute reduction and calculation of weights are subsequently performed for the risk surroundings and risk factors of similar cases based on the attribute significance theory of rough sets. Finally, index screening and objective weights are applied in the fuzzy comprehensive assessment model. The results of this paper can be used to improve the theoretical level and reliability of risk assessment in tunnel safety and serve as a reference for tunnel construction.

Application of the Evidence Theory in the Safety Evaluation of Tower Cranes

2012 ◽  
Vol 446-449 ◽  
pp. 2162-2167
Author(s):  
Su Ping Huang
Keyword(s):  
Risk Assessment ◽  
Index System ◽  
Safety Management ◽  
Evidence Theory ◽  
Safety Evaluation ◽  
Safety Risk ◽  
Assessment Index ◽  
Assessment Index System ◽  
Improved Algorithm

The safety management of tower cranes is a systematic engineering. Focused on the complexity and uncertainty of the safety evaluation of tower cranes, D-S evidence theory is applied to evaluate the the safety conditions of tower cranes in service, the safety risk assessment index system of tower cranes is built and the specific and improved algorithm of the evidence theory is given. through example calculation, this method is proved is feasible, effective and applicable in the safety evaluation of tower cranes.

The Application of Fuzzy Comprehensive Evaluation in Risk Assessment of Incremental Launching Bridge

2012 ◽  
Vol 204-208 ◽  
pp. 2028-2033 ◽  
Author(s):  
Zhong Chu Tian ◽  
Lei Yang ◽  
Tian Yong Jiang
Keyword(s):  
Risk Assessment ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Assessment Model ◽  
Analytic Hierarchy ◽  
Assessment Index ◽  
Comprehensive Evaluation Model ◽  
Assessment Index System ◽  
Hierarchy Process

The risk factors of continuous incremental launching bridge during construction stage are specialized. The risk in incremental launching stage is analyzed and identified. A risk assessment index system is built. A fuzzy comprehensive evaluation model is developed. The results obtained from the risk assessment model verifies the validity and practicality of the developed method by the combination of analytic hierarchy process and fuzzy mathematics theory. Moderate risk assessment results are developed to provide references for incremental launching construction method.

Snow Disaster Risk Assessment in China with the Multi-Layer Fuzzy Comprehensive Evaluation Method

2013 ◽  
Vol 726-731 ◽  
pp. 913-916
Author(s):  
Chao Lv ◽  
Hui Li Gong
Keyword(s):  
Risk Assessment ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Disaster Risk ◽  
Assessment Model ◽  
Historical Case ◽  
Assessment Index ◽  
Disaster Risk Assessment ◽  
Assessment Index System

The snow disaster is one of the main disasters in prairie pastoral areas of China. Once the snow disaster occurs, it will cause the death of a large amount of livestock due to the starvation and freezing weather. Therefore, it is especially important to forecast the risk of the snow disaster scientifically and reasonably. This paper established the snow disaster risk assessment index system firstly, and then established the snow disaster risk assessment model based on multi-layer fuzzy comprehensive evaluation. Finally, the massive experiment monitors and the contrast confirmation with the historical case data, showed that this model is practical and feasible, which conducted a useful attempt to further improve snow disaster risk assessment ability in pastoral areas.

scholarly journals A Study on RB-XGBoost Algorithm-Based e-Commerce Credit Risk Assessment Model

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Weimin Yang ◽  
Lili Gao
Keyword(s):  
Risk Assessment ◽  
Credit Risk ◽  
Index System ◽  
Operating Characteristic ◽  
Evaluation Index System ◽  
Assessment Model ◽  
Risk Assessment Model ◽  
Assessment Index ◽  
Credit Risk Assessment ◽  
Assessment Index System

The current method’s e-commerce credit risk assessment is prone to poor data balance and low evaluation accuracy. An RB-XGBoost algorithm-based e-commerce credit risk assessment model is proposed in this study. The adaptive random balance (RB) method is used to sample and process the obtained data to improve the balance degree of the data. An assessment index system is constructed based on the processed data. Based on the risk evaluation index system and the XGBoost algorithm, this paper constructed an e-commerce risk assessment model and assessed the e-commerce credit risk using this model. The experimental results show that the proposed method has good data balance, a high kappa coefficient, and a large receiver operating characteristic (ROC) curve area, which can effectively improve e-commerce credit risk assessment accuracy.

scholarly journals A new risk assessment model for agricultural products cold chain logistics

2017 ◽  
Vol 117 (9) ◽  
pp. 1800-1816 ◽  
Author(s):  
Hao Zhang ◽  
Bin Qiu ◽  
Keming Zhang
Keyword(s):  
Risk Assessment ◽  
Index System ◽  
Assessment Method ◽  
Agricultural Products ◽  
Assessment Model ◽  
Cold Chain ◽  
Content Type ◽  
Assessment Index ◽  
Assessment Index System ◽  
Catastrophe Progression

Purpose The purpose of this paper is to develop a quantitative risk assessment method for agricultural products cold chain logistics to assess the condition of the fresh agricultural products cold chain process objectively and accurately. Design/methodology/approach A risk assessment index system of agricultural products cold chain logistics is designed on the basis of the risk identification for the process of agricultural products cold chain logistics. This paper first uses catastrophe progression method and a new maximum deviation method to build an improved catastrophe progression assessment model for agricultural products cold chain logistics. In order to verify the reliability and validity of the model, two representative enterprises are selected as the case in the study. Findings The results in the empirical research indicate strong support for the assessment model and coincide with the reality. The risk assessment index system can also reflect the key risk factors from agricultural products cold chain logistics scientifically. In addition, the improved catastrophe progression assessment method proposed in this paper can be scientific and reasonable to predict risk. Research limitations/implications This paper contributes to provide a new risk assessment model for agricultural products cold chain logistics. The new model overcomes the limitation of subjective empowerment and it increases the objectivity and scientificity in the process of cold chain logistics risk assessment. This paper also shows that practitioners involved in the field of products cold chain logistics can manage the potential risk by a set of scientific methods for assessing the risk before the accident. Practical implications The paper provides a practical guideline to practitioners, especially for cold chain logistics managers, relevant management departments, and cold chain logistics management consultants. It is proved that the new risk assessment method and the risk assessment index system of agricultural products cold chain logistics can help them assess the risk scientifically and reasonably. Originality/value Although the calculation is simple, the new model can overcome the limitation of subjective empowerment scientifically and reasonably, and thus has important practical value.

scholarly journals Health Risk Assessment Indicators for the Left-Behind Elderly in Rural China: A Delphi Study

2020 ◽  
Vol 17 (1) ◽  
pp. 340 ◽  
Author(s):  
Ruzhen Luo ◽  
Chunmei Zhang ◽  
Yanhui Liu
Keyword(s):  
Risk Assessment ◽  
Health Risk ◽  
Health Risk Assessment ◽  
Delphi Study ◽  
Index System ◽  
Urban Areas ◽  
Health Management ◽  
Assessment Index ◽  
Left Behind ◽  
Assessment Index System

In China, many young and middle-aged rural residents move to urban areas each year. The rural elderly are left behind. The number of the rural left-behind elderly is increasing with urbanization, but it is unclear which indicators can be used to assess their health condition. The health risk assessment index system was developed to improve the health level of the rural left-behind elderly. A two-round web-based Delphi process was used to organize the recommendations from fifteen Chinese experts in geriatrics, health management, social psychology who participated in this study. Meaningfulness, importance, modifiability, and comprehensive value of the health risk assessment indicators in the index system were evaluated. The effective recovery rates of the two-round Delphi were 86.67% and 92.31%, respectively. The judgement coefficient and the authority coefficient were 0.87 and 0.82, respectively. The expert familiarity was 0.76. Ultimately, the health risk assessment index system for the rural left-behind elderly consisted of five first-level indicators, thirteen second-level indicators, and sixty-six third-level indicators. The final indicators can be used to evaluate the health of the rural left-behind elderly and provide the basis for additional health risk interventions.

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