Comprehensive Safety Assessment Model of Highway Section Based on the Accident Rate Prediction

2014 ◽  
Vol 1065-1069 ◽  
pp. 3372-3376
Author(s):  
E Lu ◽  
Jing Liang Xu
Keyword(s):  
Prediction Model ◽  
Safety Assessment ◽  
Prediction Models ◽  
Influence Factors ◽  
Assessment Model ◽  
Accident Rate ◽  
Analytic Hierarchy ◽  
Accident Prediction ◽  
Rate Prediction ◽  
Hierarchy Process

At home and abroad research, accident rate prediction model for highway safety assessment contains various influence factors, so it is difficult to find a comprehensive accident prediction model considering so much of them. In this article, we select appropriate accident prediction models through comprehensive literature research respectively about the highway alignment conditions, traffic conditions, interchange spacing conditions, then determine the weights of three accident prediction models using the analytic hierarchy process (AHP), finally obtain the comprehensive safety assessment model after the consistency check. Its’ feasibility is proved by a practical example.

Safety Assessment of Railway Dangerous Goods Transportation Based on Set Pair Analysis

2013 ◽  
Vol 869-870 ◽  
pp. 288-292
Author(s):  
Dong Jie Liu ◽  
Zhen Lin Wei
Keyword(s):  
Safety Assessment ◽  
Assessment Model ◽  
Engineering System ◽  
Set Pair Analysis ◽  
System Research ◽  
Analytic Hierarchy ◽  
Dangerous Goods ◽  
Index Weight ◽  
Hierarchy Process ◽  
Pair Analysis

In order to overcome the drawbacks that occur when traditional safety assessment methods do not consider the certain and uncertain characteristics of information and in order to enhance the calculation efficiency, a new Identical Discrepancy Contrary (IDC) system is safety comprehensive assessment model based on Set Pair Analysis is established. Incorporating the Analytic Hierarchy Process (AHP) to obtain the index weight, this model analyses the uncertainties in the degree of connection acquired by assessment, and then makes the identical discrepancy contrary system research on the certainty and uncertainty of information in the engineering system.

A Comprehensive Analysis Method Based on Fuzzy Hierarchy for the Safety Assessment of Overhead Traveling Crane

2010 ◽  
Vol 20-23 ◽  
pp. 196-201
Author(s):  
Ge Ning Xu ◽  
Fan Jiang
Keyword(s):  
Safety Assessment ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Safety Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Assessment Method ◽  
Assessment Model ◽  
Analytic Hierarchy ◽  
Set Up ◽  
Hierarchy Process

By combined fuzzy comprehensive evaluation with AHP (Analytic Hierarchy Process) together, a safety assessment model for overhead traveling crane is set up in regard to deficiency of safety assessment method for crane at present, which can evaluate safety of overhead traveling crane in-service qualitatively and quantitatively. Through a safety analysis and assessment on general overhead traveling crane, the result of assessment is in accord with the practical situation of overhead traveling crane. It can reflect more fully the safety of the whole crane system and the influence and level of each factor to whole crane system safety, witch an effective synthetic evaluation method is put forward for the safety evaluation of crane.

Research on Security Risk Assessment System of Soil Slope Based on AHP

2015 ◽  
Vol 744-746 ◽  
pp. 570-573
Author(s):  
Wei Zhan ◽  
Hao Lin ◽  
Zhi Lei Li
Keyword(s):  
Risk Assessment ◽  
Research Result ◽  
Influence Factors ◽  
Assessment System ◽  
Assessment Model ◽  
Soil Slope ◽  
Security Risk ◽  
Analytic Hierarchy ◽  
Security Risk Assessment ◽  
Hierarchy Process

Based on the investigation of soil slope in Zhejiang province, the main influence factors of soil slope stability were analyzed and the risk assessment indexes of soil slop were selected. Then the risk assessment model of soil slope was established by the method of analytic hierarchy process according to the importance of each index. The security risk assessment system of soil slope was obtained finally. The research result has important reference for the soil slope management.

Analysis of the Safety Factors of Municipal Road Undercrossing Existing Bridge Based on Fuzzy Analytic Hierarchy Process Methods

2021 ◽  
pp. 036119812110318
Author(s):  
Yonghong Yang ◽  
Yu Chen ◽  
Zude Tang
Keyword(s):  
Safety Assessment ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Safety Evaluation ◽  
Safety Factors ◽  
Analytic Hierarchy ◽  
Road Engineering ◽  
Existing Bridges ◽  
Hierarchy Process ◽  
Engineering Projects

Increasing traffic volume and insufficient road lanes often require municipal roads to be reconstructed and expanded. Where a road passes under a bridge, the reconstruction and expansion project will inevitably have an impact on the bridge. To evaluate the safety impact of road engineering projects on bridges, this paper evaluates the safety of the roads and ancillary facilities of highway bridges involved in municipal road engineering projects. Based on a comprehensive analysis of the safety factors of municipal roads undercrossing existing bridges, a fuzzy comprehensive analytic hierarchy process (AHP) evaluation method for the influence of road construction on the safety of existing bridges is proposed. First, AHP is used to select 11 evaluation factors. Second, the target layer, criterion layer, and index layer of evaluation factors are established, then a safety evaluation factor system is formed. The three-scale AHP model is used to determine the weight of assessment indexes. Third, through the fuzzy comprehensive AHP evaluation model, the fuzzy hierarchical comprehensive evaluation is carried out for the safety assessment index system. Finally, the fuzzy comprehensive evaluation method is applied to the engineering example of a municipal road undercrossing an existing expressway bridge. The comprehensive safety evaluation of the existing bridge reflects the practicability and feasibility of the method. It is expected that, with further development, the method will improve the decision-making process in bridge safety assessment systems.

scholarly journals Durability Assessment of Lightweight Cellular Concrete in Subgrade by the Method of Analytic Hierarchy Process Combined with Fuzzy Comprehensive Evaluation

2019 ◽  
Vol 2019 ◽  
pp. 1-10
Author(s):  
Xin Liu ◽  
Chengwei Ni ◽  
Liye Zhang ◽  
Ke Sheng ◽  
Baoning Hong
Keyword(s):  
Analytic Hierarchy Process ◽  
Influencing Factors ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Assessment Method ◽  
Assessment Model ◽  
Analytic Hierarchy ◽  
Durability Assessment ◽  
Hierarchy Process ◽  
Cellular Concrete

The durability of lightweight cellular concrete (LCC) and the corresponding assessment method are studied in this paper to improve the utilization of LCC in subgrade construction engineering. The durability assessment method is established by combining the analytic hierarchy process (AHP) with fuzzy comprehensive evaluation (FCE). The main assessment processes are as follows. Firstly, based on the physical and mechanical properties of LCC, the influencing factors are selected in terms of preliminary design, construction technology, and operation and management after completion of construction. The grading standard of influencing factors is established as well. Secondly, a multilevel assessment model with targets level, criteria level, and indexes level is established. AHP determines the effective weight of the lower level relative to the upper level. The consistency check of the judgment matrix is conducted to prove the rationality of the distribution of influencing factors’ effect weight. Thirdly, the membership function which is suitable for each influencing factor is built to calculate the membership degree. Besides, the practicality and reliability of AHP combined with FCE are demonstrated through a practical engineering case, which is the third section of a highway in Guangdong Province, China.

Weight Analysis of Accident Factors in Deep Foundation Excavation Based on Analytic Hierarchy Process

2014 ◽  
Vol 711 ◽  
pp. 529-534
Author(s):  
Zi Sheng Yang ◽  
Jun Xia Liu ◽  
Yi Ren Wang
Keyword(s):  
Analytic Hierarchy Process ◽  
Deep Foundation ◽  
Accident Rate ◽  
Foundation Pit ◽  
Analytic Hierarchy ◽  
Weight Analysis ◽  
Deep Foundation Excavation ◽  
Hierarchy Process ◽  
Factor Set ◽  
Design Construction

For the past few years, great development has been achieved in deep foundation excavation. However, due to foundation excavation’s locality, individual diversity, complexity and uncertainty, the probability of accidents in foundation pit engineering tends to be greater than that in main works, and the accident rate may even reach about 20%, which makes the study on factors leading to foundation excavation accidents quite necessary and meaningful. By use of Analytic Hierarchy Process (AHP), this paper has figured out the ratio (weight) of the investigation, design, construction and other factors leading to foundation excavation accidents to the whole factor set, which is of great guiding significance to the study on prevention and treatment of foundation excavation accidents in future.

scholarly journals Study on the Magnitude of Reservoir-Triggered Earthquake Based on Support Vector Machines

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Hai Wei ◽  
Mingming Wang ◽  
Bingyue Song ◽  
Xin Wang ◽  
Danlei Chen
Keyword(s):  
Support Vector Machines ◽  
Prediction Models ◽  
Influence Factors ◽  
Tectonic Stress ◽  
Support Vector ◽  
Fault Features ◽  
Vector Machines ◽  
Triggered Earthquake ◽  
Sample Data ◽  
Hierarchy Process

An effective approach is introduced to predict the magnitude of reservoir-triggered earthquake (RTE), based on support vector machines (SVM) and fuzzy support vector machines (FSVM) methods. The main influence factors on RTE, including lithology, rock mass integrity, fault features, tectonic stress state, and seismic activity background in reservoir area, are categorized into 11 parameters and quantified by using analytical hierarchy process (AHP). Dataset on 100 reservoirs in China, including the 48 well-documented cases of RTE, are collected and used to train and validate the prediction models established with SVM and FSVM, respectively. Through numerical tests, it is found that both the SVM and FSVM models are effective in the prediction of the magnitude of RTE with high accuracy, provided that sufficient samples are collected. While the results of FSVM which is extended from SVM by introducing a fuzzy membership to reduce the influence of noises or outliers are found to be slightly less accurate than those of SVM in the current analysis of RTE cases. The reason might be attributed to the high discreteness of the sample data in the current study.

The Green Energy-Saving Design of Stadium

2013 ◽  
Vol 724-725 ◽  
pp. 1571-1574
Author(s):  
Xiao Jie Chen
Keyword(s):  
Energy Saving ◽  
Green Building ◽  
Green Energy ◽  
Assessment Model ◽  
Green Design ◽  
Analytic Hierarchy ◽  
Building Technology ◽  
Design Idea ◽  
Hierarchy Process ◽  
Resource Environment

According to the principles that green sports building should follow are reducing environmental load and the amount of the utilized resource and energy. It emphasizes harmoniousness of architecture and environment. Started with green buildings concept, the necessity for developing green building is analyzed and its design rules are summarized. On the basis of that, the architecture of green sports building technology is presented according to the design idea of sports building and green building,. And sustainable utilization of green sports building is explored on resource, environment, energy-saving, after-use and so on. Then green design for manufacturing is referred to. Based on life cycle, green design for sports building is pointed out. At last, by using Analytic Hierarchy Process (AHP) method, assessment model is built and environmental performance in design phase of green sports building is assessed.

AHP-Driven Knowledge Leakage Risk Assessment Model

2020 ◽  
pp. 218-237 ◽  
Author(s):  
Haley Wing Chi Tsang ◽  
Wing Bun Lee ◽  
Eric Tsui
Keyword(s):  
Risk Assessment ◽  
Decision Making ◽  
Intellectual Capital ◽  
Value Chain ◽  
Assessment Model ◽  
Risk Assessment Model ◽  
Analytic Hierarchy ◽  
Job Knowledge ◽  
Knowledge Leakage ◽  
Hierarchy Process

Intellectual Capital (IC) is becoming more widely understood by the academic and business communities, especially its important role in value creation of an organization. However, few people are aware that IC, if not managed properly, may also pose threats, sometime serious, to an organization. Knowledge leakage from an organization, for example, may come about when an experienced employee leaves for another job. Knowledge leakage is pervasive throughout an organization but is seldom noticed until the consequence is felt. This intellectual capital risk has to be systematically and effectively identified, assessed and controlled in the whole value chain of an organization. An AHP (Analytic Hierarchy Process) based multi-dimensional decision making and assessment model is developed to determine knowledge leakage risk in an organization.

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