Worker safety and injury severity analysis of earthmoving equipment accidents

Kazan, Emrah; Usmen, Mumtaz

doi:10.1016/j.jsr.2018.02.008

Cited by 42 publications

(20 citation statements)

References 13 publications

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“…There are some studies that focused on other specific accident types in addition to fall accidents. Accidents due to electricity (Suárez-Cebador et al, 2014), and earthmoving equipment-related incidents were also investigated (Kazan & Usmen, 2018). Suárez-Cebador et al (2014) investigated electricity accidents in terms of the 13 different attributes whose significance levels were lower than 0.05.…”

Section: Studies For Specific Accident Typesmentioning

confidence: 99%

An Association Rule Mining Model for the Assessment of the Correlations Between the Attributes of Severe Accidents

Ayhan

Doğan

Tokdemir

2020

Journal of Civil Engineering and Management

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Identifying the correlations between the attributes of severe accidents could be vital to preventing them. If such relationships were known dynamically, it would be possible to take preventative actions against accidents. The paper aims to develop an analytical model that is adaptable for each type of data to create preventative measures that will be suitable for any computational systems. The present model collectively shows the relationships between the attributes in a coherent manner to avoid severe accidents. In this respect, Association Rule Mining (ARM) is used as the technique to identify the correlations between the attributes. The research adopts a positivist approach to adhere to the factual knowledge concerning nine different accident types through case studies and quantitative measurements in an objective nature. ARM was exemplified with nine different types of construction accidents to validate the adaptability of the proposed model. The results show that each accident type has different characteristics with varying combinations of the attribute, and analytical model accomplished to accommodate variation through the dataset. Ultimately, professionals can identify the cause-effect relationships effectively and set up preventative measures to break the link between the accident causing factors.

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Section: Studies For Specific Accident Typesmentioning

confidence: 99%

An Association Rule Mining Model for the Assessment of the Correlations Between the Attributes of Severe Accidents

Ayhan

Doğan

Tokdemir

2020

Journal of Civil Engineering and Management

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“…Univariate analysis is usually the first analysis used by researchers who perform statistical analysis in different study fields and on various databases 33 , 34 ) . The main objectives of the analysis are to explain the data and tell the researcher what is available 35 ) . In this research, 12 variables were created by their sub-categories using the OSHA classifications.…”

Section: Methodsmentioning

confidence: 99%

“…After finding the p -value, researchers can decide whether the result is meaningful or not (commonly taken as 0.05). For this reason, the cases where the value of p is less than 0.05 are considered to be significant, the hypothesis H 0 is rejected and it is assumed that there is a relation between the variables 35 ) .…”

Section: Methodsmentioning

confidence: 99%

Work-related injuries and fatalities in the geotechnical site works

Kale

Eskişar

2018

INDUSTRIAL HEALTH

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Geotechnical site works are comprehensive, and they constitute the first step of the construction process. This study performs data mining of geotechnical works and analyzes the database for the root causes of accidents. The Occupational Safety and Health Administration (OSHA) was chosen for the 1984–2013 time frame with 247 cases. Descriptive statistical analyses were performed to discuss variables such as the end use of the work, project type and cost, soil type and condition, type and degree of injury, cause and type of accident, unsafe acts, and occupation and union status of the victim. The results showed that these accidents have a high frequency of recurrence and have a high severity level (54.3% fatalities). In addition, a total of 838 violations were recorded with penalties reaching 5 million US dollars. This study emphasizes that project-specific countermeasures should be taken regarding the root causes of accidents, leading to vigorous strategies to develop safety measures.

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“…Post-test Opinion survey [2], Impact Measurement Centre [3], McCann [4], Tamkin et al [5] and Wang and Wilcox [6]. As discussed by Tamkin et al [5], Donald Kirkpatrick offers a model for training effectiveness evaluation, which refers to four levels of assessment: Level 1 assessment is the reaction of the trainee to the perceived usefulness of the training received.…”

Section: Sign Upmentioning

confidence: 99%

Training Effectiveness Analysis of Osha Silica and Excavation Standards for Construction

Kazan

Usmen

Desruisseaux

et al. 2019

WIT Transactions on the Built Environment

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As construction safety and health standards evolve due to changing industry practices and stakeholder expectations, and the mandates get stronger on compliance with these standards, the need for training programs become more pronounced. This paper covers the training material development and program delivery and evaluation efforts associated with two standards promulgated by the US Department of Labor Occupational Safety and Health Administration (OSHA), namely Respirable Crystalline Silica (29 CFR 1926(29 CFR .1153 and Excavation and Trenching Safety (29 CFR 1926 Subpart P). The work reported here was undertaken through OSHA's Susan Harwood program. The developed training materials consisted of PowerPoint instructional modules; pre-tests and post-tests to measure incremental knowledge improvement; and trainee opinion surveys to evaluate the efficacy of the training materials and training delivery systems incorporated in the programs. Trainees included employees and employers representing various trades (operating engineers, laborers, masons, bricklayers, pipelayers and others). The delivery was performed by a traditional classroom format for the silica training, while lecture-based traditional and online training were separately offered for excavation safety. Kirkpatrick's model for learning assessment was adopted, employing level 1 and level 2 evaluations. It was found that both the lecture-based traditional and online training delivery were effective tools, although they have their advantages and disadvantages. Based on a limited study using cross-tabulation, no statistically significant correlation could be identified between levels 1 and 2 assessment results.

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Worker safety and injury severity analysis of earthmoving equipment accidents

Cited by 42 publications

References 13 publications

An Association Rule Mining Model for the Assessment of the Correlations Between the Attributes of Severe Accidents

An Association Rule Mining Model for the Assessment of the Correlations Between the Attributes of Severe Accidents

Work-related injuries and fatalities in the geotechnical site works

Training Effectiveness Analysis of Osha Silica and Excavation Standards for Construction

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