The Recognition of TAEKWONDO Demonstration Activities on Safety Management strategies of TAEKWONDO Gyms in Republic of KOREA

Abstract: The five most important risk factors identified in the design phase are 1] scope uncertainty, 2] failed management and planning, 3] changes in errors and omissions, 4] inadequate projectS team structure, 5] inadequate quality requirements. The top five risk factors determined by the procurement category are 1] Inadequate online resources and equipment, 2] Distribution of suppliers, 3] Uncertainty in design and style, codes, requirements and standards, 4] Defective items, and 5] Compromise. The 5 most important risk factors identified in the construction phase are 1] weak project capability, 2] excessive construction costs, 3] major construction delays, 4] strong project plan, and 5] poor safety management .This was initiated by the link between risk factors and the effects on price, quality and timing, as well as the potential for expensive, common, and high-quality outcomes. Keywords: Disaster risk management, risk management strategies, project risk management, oil and gas industry.

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Electric Bicyclist Injury Severity during Peak Traffic Periods: A Random-Parameters Approach with Heterogeneity in Means and Variances

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph182111131 ◽

2021 ◽

Vol 18 (21) ◽

pp. 11131

Author(s):

Tong Zhu ◽

Zishuo Zhu ◽

Jie Zhang ◽

Chenxuan Yang

Keyword(s):

Traffic Control ◽

Injury Severity ◽

Safety Management ◽

Management Strategies ◽

Mixed Logit ◽

Random Parameters ◽

Severe Injuries ◽

Crash Data ◽

Electric Bicycle ◽

The Impact

Accidents involving electric bicycles, a popular means of transportation in China during peak traffic periods, have increased. However, studies have seldom attempted to detect the unique crash consequences during this period. This study aims to explore the factors influencing injury severity in electric bicyclists during peak traffic periods and provide recommendations to help devise specific management strategies. The random-parameters logit or mixed logit model is used to identify the relationship between different factors and injury severity. The injury severity is divided into four categories. The analysis uses automobile and electric bicycle crash data of Xi’an, China, between 2014 and 2019. During the peak traffic periods, the impact of low visibility significantly varies with factors such as areas with traffic control or without streetlights. Furthermore, compared with traveling in a straight line, three different turnings before the crash reduce the likelihood of severe injuries. Roadside protection trees are the most crucial measure guaranteeing riders’ safety during peak traffic periods. This study reveals the direction, magnitude, and randomness of factors that contribute to electric bicycle crashes. The results can help safety authorities devise targeted transportation safety management and planning strategies for peak traffic periods.

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Validating a Traffic Conflict Prediction Technique for Motorways Using a Simulation Approach

Sensors ◽

10.3390/s22020566 ◽

2022 ◽

Vol 22 (2) ◽

pp. 566

Author(s):

Nicolette Formosa ◽

Mohammed Quddus ◽

Alkis Papadoulis ◽

Andrew Timmis

Keyword(s):

Autonomous Vehicles ◽

Safety Management ◽

Management Strategies ◽

Ground Truth ◽

Prediction Algorithm ◽

Lane Change ◽

Prediction Ability ◽

Integrated Simulation ◽

Traffic Conflict ◽

Conflict Prediction

With the ever-increasing advancements in the technology of driver assistant systems, there is a need for a comprehensive way to identify traffic conflicts to avoid collisions. Although significant research efforts have been devoted to traffic conflict techniques applied for junctions, there is dearth of research on these methods for motorways. This paper presents the validation of a traffic conflict prediction algorithm applied to a motorway scenario in a simulated environment. An automatic video analysis system was developed to identify lane change and rear-end conflicts as ground truth. Using these conflicts, the prediction ability of the traffic conflict technique was validated in an integrated simulation framework. This framework consisted of a sub-microscopic simulator, which provided an appropriate testbed to accurately simulate the components of an intelligent vehicle, and a microscopic traffic simulator able to generate the surrounding traffic. Results from this framework show that for a 10% false alarm rate, approximately 80% and 73% of rear-end and lane change conflicts were accurately predicted, respectively. Despite the fact that the algorithm was not trained using the virtual data, the sensitivity was high. This highlights the transferability of the algorithm to similar road networks, providing a benchmark for the identification of traffic conflict and a relevant step for developing safety management strategies for autonomous vehicles.

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BAYESIAN-NETWORK-BASED FALL RISK EVALUATION OF STEEL CONSTRUCTION PROJECTS BY FAULT TREE TRANSFORMATION

Journal of Civil Engineering and Management ◽

10.3846/13923730.2014.890643 ◽

2015 ◽

Vol 21 (3) ◽

pp. 334-342 ◽

Cited By ~ 12

Author(s):

Sou-Sen Leu ◽

Ching-Miao Chang

Keyword(s):

Bayesian Network ◽

Fall Risk ◽

Safety Management ◽

Traditional Approach ◽

Management Strategies ◽

Fault Tree ◽

Assessment Model ◽

Occupational Accidents ◽

Steel Construction ◽

Fall Risks

A fall (also referred to as a tumble) is the most common type of accident at steel construction (SC) sites. To reduce the risk of falls, current site safety management relies mainly on checklist evaluations. However, current onsite inspection is conducted under passive supervision, which fails to provide early warning to occupational accidents. To overcome the limitations of the traditional approach, this paper presents the development of a fall risk assessment model for SC projects by establishing a Bayesian network (BN) based on fault tree (FT) transformation. The model can enhance site safety management through an improved understanding of the probability of fall risks obtained from the analysis of the causes of falls and their relationships in the BN. In practice, based on the analysis of fall risks and safety factors, proper preventive safety management strategies can be established to reduce the occurrences of fall accidents at SC sites.

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Penentuan Prioritas Strategi Pengelolaan K3 Proyek Pemasangan Pipa Gas Menggunakan Pendekatan Metode AHP

Jurnal Teknik Industri ◽

10.22219/jtiumm.vol19.no2.107-117 ◽

2018 ◽

Vol 19 (2) ◽

pp. 107

Author(s):

Rosita Robi Agustini ◽

Dino Rimantho

Keyword(s):

Occupational Safety ◽

Safety Management ◽

Management Strategies ◽

Health And Safety ◽

Gas Pipeline ◽

Ahp Method ◽

Safety Risks ◽

Accident Management ◽

Work Accident ◽

Pair Wise Comparison

The pipeline is an immobile transport medium that functions to distribute liquids and gases. The pipeline installation project is one of the Engineering Procurement and Construction (EPC) projects that has the potential for accident and occupational safety risks. The purpose of this research is to determine the priority of work accident management strategies gas pipeline by applying the AHP method. Brainstorming and pair-wise comparison approaches were conducted by experts. A total of three experts are used as key informants in assessing paired comparisons. The results show that there are four main factors that could potentially result in the risk of working accidents such as humans, machines, methods, and materials. Furthermore, based on the analysis result shows that human factor is the highest priority and environmental factor as the lowest priority. The AHP method application in this study indicates that this method can be used to determine the priority of each criterion and sub-criteria on the health and safety management strategy of the gas pipeline installation project. The implication of this in the application of AHP in other issues required more in-depth review related to the criteria and sub-criteria that are used to obtain more comprehensive results.

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Systematic review on the identification of safety risks in off-site manufacturing (OSM)

Journal of Engineering Design and Technology ◽

10.1108/jedt-12-2020-0498 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Sadith Chinthaka Vithanage ◽

Michael Sing ◽

Peter Davis ◽

Manikam Pillay

Keyword(s):

Content Analysis ◽

Safety Management ◽

Management Strategies ◽

Future Research ◽

Content Type ◽

Safety Research ◽

Safety Risks ◽

Management Concepts ◽

Full Picture ◽

Future Research Directions

Purpose Off-site manufacturing (OSM) has emerged as a method of modern construction that provides several benefits including achieving lower costs, a quicker schedule and environmentally friendly solutions. Although numerous researches are available that advocate the adoption of OSM, the devotion towards OSM safety is somewhat limited. However, OSM invariably generates safety risks, including dynamics and uncertainty in safety management. There is a unique call to have an investigation on the identification of OSM safety risks. Design/methodology/approach To provide a full picture on the OSM safety, a systematic literature review was adopted based on interpretivist philosophical stance. The literature search was conducted in key electronic databases to identify OSM safety-focused publications. Bibliometric analysis was adopted to identify co-occurrences of keywords and collaboration among authors in OSM safety-related research publications. Content analysis was conducted to provide a taxonomy of OSM safety risks. The identified studies were critically analysed to determine the focus of OSM safety research and provide future research directions. Findings The results demonstrated frequently appeared OSM safety aspects while highlighting the limitedness of collaborative research outputs in common authorships. Content analysis subsequently unveiled safety risks in OSM under human, organisational and work environmental factors. A critical analysis of extant literature revealed seven research classifications of OSM safety. Directions were offered to enhance OSM safety by applying principles of targeted safety management concepts, technology-driven safety measures and bespoke training programs. Originality/value This study provides a comprehensive review on the identification of safety risks throughout OSM while presenting the avenues useful for the development of OSM safety management strategies.

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