scholarly journals Causation of Metro Operation Accidents in China: Calculation of Network Node Importance Based on DEMATEL and ISM

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Xin Wan ◽  
Yantong Zhang ◽  
Rubing Wang ◽  
Jingfeng Yuan ◽  
Mengliu Hu ◽  
...  
Keyword(s):  
Social Impact ◽  
Safety Management ◽  
Economic Loss ◽  
Network Node ◽  
Interpretive Structural Modeling ◽  
Node Importance ◽  
Accident Causation ◽  
Managerial Implications ◽  
Safety Countermeasures ◽  
Causation Analysis

Continuous metro-operation accidents lead to serious economic loss and a negative social impact. The accident causation analysis is of great significance for accident prevention and metro operation safety promotion. Network node importance (NNI) evaluation has been widely used as a tool for ranking the nodes in complex networks; however, traditional indicators such as degree centrality (DC) are insufficient for examining accident networks. This study proposed an improved method by integrating decision making trail and evaluation laboratory (DEMATEL) and interpretive structural modeling (ISM) into traditional NNI evaluation, where the key nodes are determined by both the nature of the accident network topology and the contribution of the nodes to accident development. Drawing on this method, 32 accident causal factors were identified and prioritized on the ground of 248 accident cases. It was found that 14 important factors related to staff (e.g., “driver noncompliance”), environment (e.g., “extrinsic nature disturbance”), passenger (e.g., “passenger sudden illness”), and machine (e.g., “track failures”) should be given priority in safety management due to their significant tendency of causing metro accidents. Theoretical and managerial implications were discussed to provide useful insights into the understanding of the causation of metro accidents and form a basis for metro managers to develop targeted safety countermeasures related to metro operation. The proposed hybrid method is proven effective in investigating accident networks involving sequential and casual relationships and revealing factors with high possibility to increase accidents.

scholarly journals Application of an Improved Model for Accident Analysis: A Case Study

2019 ◽  
Vol 16 (15) ◽  
pp. 2756 ◽  
Author(s):  
Jianhao Wang ◽  
Mingwei Yan
Keyword(s):  
Safety Culture ◽  
Safety Climate ◽  
Safety Management ◽  
Organizational Level ◽  
Accident Analysis ◽  
Individual Level ◽  
Accident Causation ◽  
The Individual ◽  
Improved Model ◽  
Safety Knowledge

An improved accident causation model which demonstrates the relationships among different causal factors was proposed in this study. It provides a pathway for accident analysis from the individual level to the organizational level. Unsafe acts and conditions determined by individuals’ poor safety knowledge, low safety awareness, bad safety habits, etc. are the immediate causes of an accident. Deficiencies in safety management systems and safety culture remain the root causes, which can cause consequences at the individual level. Moreover, the weaknesses of an organization’s safety culture can have a great impact on the formation of a good safety climate and can further lead to poor decision-making and implementation of procedures in the safety management system. In order to contribute to a better perception and understanding of the accident causation model, one typical case in the process industry, the oil leak and explosion of the Sinopec Donghuang pipelines, was selected for this study. The causality from immediate causes to root causes is demonstrated in sequence and can be shown in this model explicitly and logically. Several important lessons are summarized from the results and targeted measures can be taken to avoid similar mistakes in the future. This model provides a clear and resourceful method for the safety and risk practitioner’s toolkit in accident investigation and analysis, and the organization can use it as a tool to conduct staff trainings and thus to keep accidents under control.

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.

scholarly journals A REAL-TIME LOCATION-BASED CONSTRUCTION LABOR SAFETY MANAGEMENT SYSTEM

2014 ◽  
Vol 20 (5) ◽  
pp. 724-736 ◽  
Author(s):  
Kwang-Pyo Lee ◽  
Hyun-Soo Lee ◽  
Moonseo Park ◽  
Hyunsoo Kim ◽  
Sangwon Han
Keyword(s):  
Real Time ◽  
Construction Industry ◽  
Management System ◽  
Safety Management ◽  
Economic Loss ◽  
Safety Management System ◽  
Labor Safety ◽  
Construction Safety Management ◽  
Construction Accidents ◽  
Early Warnings

The construction industry continues to record a high number of accidents compared to other industries. Furthermore, the ramifications of construction accidents are growing in terms of both economic loss and loss of life with trends toward larger-scale, more complex projects. For this reason, there is an increasing awareness of the importance of safety management in the construction industry, and the need for more effective safety management techniques. This paper introduces a real-time location-based construction labor safety management system that tracks and visualizes workers’ locations in real-time and sends early warnings to endangered workers. The system is developed by integrating: a real-time locating system (RTLS) for tracking of workers’ location; a location monitoring system for mapping the workers location on a computerized building model; and alarm technology for sending early warnings. The developed system has been applied to an apartment project and an RTLS technology test center in Korea, and proved to be effective in tracking and monitoring workers in real-time and preventing construction accidents. It is envisioned that the developed system will enable proactive construction safety management in South Korea and the methodologies developed in this study will be applicable to other contexts with minimal customization.

The Role of Human Factors and Safety Culture in Safety Management

1995 ◽  
Vol 209 (5) ◽  
pp. 393-400 ◽  
Author(s):  
R T Booth ◽  
T R Lee
Keyword(s):  
Human Factors ◽  
Safety Culture ◽  
Safety Management ◽  
Safety Performance ◽  
Accident Causation

The paper describes the evolution of safety management and the part played by human factors in accident causation. It identifies the key elements of effective safety management and suggests that a crucial determinant of good safety performance is the safety culture of the organization. A plan is outlined for reviewing and improving safety culture with the support of a detailed safety culture promptlist.

Risk Prevention and Emergency Countermeasures to Environmental Accidents of Chemical Industry Parks

2013 ◽  
Vol 726-731 ◽  
pp. 798-803
Author(s):  
Peng Li Xue ◽  
Xiao Feng Sun ◽  
Yun Song ◽  
Yan Jun Cheng ◽  
De Zhi Sun
Keyword(s):  
Environmental Risk ◽  
Social Impact ◽  
Economic Loss ◽  
Risk Prevention ◽  
Prevention Measures ◽  
Chemical Monitoring ◽  
Environmental Accidents ◽  
Hazardous Chemical ◽  
Risk Sources ◽  
Risk Categories

Due to the high population density, the environmental accidents would caused the serious social impact and economic loss in China.The chemical parks are the major environmental risk sources. The environmental risk categories are introduced and the corresponding risk prevention measures of chemical industral park to environmental accident are researched in the paper. Moreover, the hazards reduce measures of environmental accidents around the chemical park ,which including the hazardous chemical monitoring, environmental pollution integrated emergency exercise,et al.,are also discussed.

All the News That’s Fit to Print? How the Media Frames Professional Athlete Philanthropy

2021 ◽  
Vol 35 (1) ◽  
pp. 55-68
Author(s):  
Kathy Babiak ◽  
Stacy-Lynn Sant
Keyword(s):  
Qualitative Analysis ◽  
Media Coverage ◽  
Social Impact ◽  
Professional Athletes ◽  
Economic Perspective ◽  
Professional Athlete ◽  
Emotional Connection ◽  
Media Frames ◽  
Managerial Implications ◽  
The Media

Professional athletes are increasingly engaged in social impact efforts via charitable endeavors. Despite seemingly good intentions in these efforts, the media’s representation of athlete philanthropy varies widely. This study examines how discourses of athlete charity are represented in U.S. media coverage. Over 100 newspaper articles were obtained for the period of 2005–2017. The authors conducted a qualitative analysis which consisted of attribute coding for basic article characteristics, identification of both framing and reasoning devices, and deductive coding to identify generic media frames. The authors present an adapted frame matrix highlighting the salient frames in media coverage of athlete philanthropy. Our results show that athlete charitable efforts are related to a personal or emotional connection or linked to an economic perspective around philanthropy. A third frame reflected a moral underpinning to athletes’ charitable work. The authors discuss managerial implications for teams and leagues that provide support for athletes’ charitable work, as well as for the athletes themselves.

Contextual Relationship Among 3 C's and Innovative Green Procurement Practices Using ISM and Its Validation Using MICMAC Analysis

2016 ◽  
Vol 6 (2) ◽  
pp. 33-50 ◽  
Author(s):  
Surajit Bag
Keyword(s):  
Resource Dependence ◽  
Manufacturing Sector ◽  
Resource Dependence Theory ◽  
Future Research ◽  
Interpretive Structural Modeling ◽  
Green Procurement ◽  
Micmac Analysis ◽  
Dependence Theory ◽  
Managerial Implications ◽  
Relationship Of

This paper argues for the use of Interpretive Structural Modeling in building a theory of innovative green procurement practices. Earlier researchers have conducted vast studies related to the hard dimensions of green procurement practices. However, there is a dearth of studies focusing particularly on the soft dimensions of green procurement practices. To address the gap in existing literature, this study first systematically reviews the green procurement literature. Secondly, these dimensions were refined through expert interviews from the manufacturing sector. Thirdly, it illustrates the use of ISM method to find the contextual relationship of elements. The ISM model was finally validated using MICMAC analysis. The current study is unique from two perspectives. Firstly, Resource dependence theory was used as a theoretical lens to study the links between elements. Secondly, it integrated innovation and green procurement practices for the purpose of investigation. The findings show strong associations between 3C's (Collaboration, Coordination, and Cooperation) and innovative green procurement practices. The paper concludes with managerial implications and directions for future research.

Modeling the enablers of supply chain strategies and information technology: improving performance through TISM approach

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Muhammad Irfan ◽  
Mingzheng Wang ◽  
Abaid Ullah Zafar ◽  
Mohsin Shahzad ◽  
Tahir Islam
Keyword(s):  
Information Technology ◽  
Supply Chain ◽  
Textile Industry ◽  
Process Automation ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Fourth Level ◽  
Managerial Implications ◽  
Flexible Capacity ◽  
Garment Manufacturing

Purpose This study aims to investigate the hierarchical relationship between industry-specific attributes of supply chain (SC) strategies and information technology (IT) to improve the performance of firms in textile industry in Pakistan. Design/methodology/approach This study presents a mix of enablers through literature review and experts’ opinions. Next, the driving and dependence powers of enablers were identified, using the interpretive structural modeling (ISM) approach. Findings The ISM model suggests eight levels, with customer satisfaction at the top of the model. Process automation and TQM are placed at second and third level, respectively, whereas flexible sourcing and flexible capacity are positioned at fourth level. The key enablers of IT have high driving power, hence positioned at the bottom of ISM model. Originality/value This study has value for firms in garment manufacturing and exporting industry to invest into IT and sustainable SC design for competitive performance. The theoretical and managerial implications are provided.

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