Case-Based Reasoning Approach for Assessing Safety Performance Using Safety-Related Measures

Pereira, Estacio; Hermann, Ulrich; Han, Sang Uk; AbouRizk, Simaan

doi:10.1061/(asce)co.1943-7862.0001546

Cited by 21 publications

(11 citation statements)

References 36 publications

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“…CBR provides solutions to current problems by using knowledge and experience based on previous similar cases or historical data [22,44,54,55]. This methodology is useful because it can be applied when relevant datasets are limited or inadequate, even if the problems are not well-organized [60,61]. CBR has been used in a variety of fields, such as cost estimation, safety diagnosis, maintenance, and duration estimation [37,40,51].…”

Section: Similarity Distance Measurement With Cbrmentioning

confidence: 99%

Performance Evaluation of Distance Measurement Methods for Construction Noise Prediction Using Case-Based Reasoning

et al. 2019

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Concerns over environmental issues have recently increased. Particularly, construction noise in highly populated areas is recognized as a serious stressor that not only negatively affects humans and their environment, but also construction firms through project delays and cost overruns. To deal with noise-related problems, noise levels need to be predicted during the preconstruction phase. Case-based reasoning (CBR) has recently been applied to noise prediction, but some challenges remain to be addressed. In particular, problems with the distance measurement method have been recognized as a recurring issue. In this research, the accuracy of the prediction results was examined for two distance measurement methods: The weighted Euclidean distance (WED) and a combination of the Jaccard and Euclidean distances (JED). The differences and absolute error rates confirmed that the JED provided slightly more accurate results than the WED with an error ratio of approximately 6%. The results showed that different methods, depending on the attribute types, need to be employed when computing similarity distances. This research not only contributes an approach to achieve reliable prediction with CBR, but also contributes to the literature on noise management to ensure a sustainable environment by elucidating the effects of distance measurement depending on the attribute types.

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Section: Similarity Distance Measurement With Cbrmentioning

confidence: 99%

Performance Evaluation of Distance Measurement Methods for Construction Noise Prediction Using Case-Based Reasoning

et al. 2019

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“…The fundamental goal of assessing SP was to intervene in an attempt to reduce project risk at the construction site. When an accident occurred, lagging indicators provided no further understanding of the existing safety condition (Pradhananga and Teizer, 2013), while the leading indicators were measurements linked to preventive actions (Toellner, 2001; Pereira et al , 2018). One of the great advantages of these leading indicators was that SP can be improved in a short period of time as a project proceeds.…”

Section: Literature Review and Hypotheses Developmentmentioning

confidence: 99%

Impact of safety management system on safety performance: the mediating role of safety responsibility

Tong

Zhang

Wang

et al. 2020

ECAM

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PurposeSafety management system (SMS) has been widely adopted to explore its influence on safety performance (SP). However, most existing researches recognized SMS as a one-dimension structure and neglected the influences of its subdimensions. Similarly, the impact of safety responsibility (SR) on SP received little attention. This study aims to explore the relationship between subdimensions of SMS and SP, while incorporating the mediating effect of SR.Design/methodology/approachThe research data were gathered from safety management evaluation report of a large real estate enterprise in China during 2010–2017. This paper carries out a series of data analyses to explore the impact of SMS and SR on SP. In order to analyze the synergistic impacts of SMS and SR on SP, path analysis, correlation analysis and mediation analysis were conducted using hypotheses concerning with the main subdimensions.FindingsThe results indicated SMS and SR decreased the project risk level and improved SP of real estate projects. Furthermore, the effect of SR partially mediated the relationship between the SMS and SP.Practical implicationsFindings in this research contribute to improve SP in real estate industry as well as other industries by the active assumption of SR and the successful implementation of SMS.Originality/valueThis research shows the relationship between subdimensions of SMS and SP and the mediating role of SR on SMS–SP relationship to improve SP in real estate industry.

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“…It stems from cognitive science and is based on how humans think [23][24][25][26][27]. This methodology has been widely adopted in diverse fields such as cost estimation, market selection, safety diagnosis, and building maintenance [28][29][30][31] because it can find solutions even when the current problems are well-structured or related data are insufficient or limited [32][33][34]. Nevertheless, applying CBR to maintenance cost estimation is a challenge because relevant data have not been collected systematically.…”

Section: Case-based Reasoningmentioning

confidence: 99%

Preliminary Service Life Estimation Model for MEP Components Using Case-Based Reasoning and Genetic Algorithm

et al. 2019

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In recent decades, building maintenance has been recognized as an important issue as the number of deteriorating buildings increases around the world. In densely populated cities, building maintenance is essential for ensuring sustainable living and safety for residents. Improper maintenance can not only cause enormous maintenance costs, but also negatively affect residents and their environment. As a first step, the service life of building components needs to be estimated in advance. Mechanical, electrical, and plumbing (MEP) components especially produce many maintenance-related problems compared to other components. In this research, a model was developed that applies the genetic algorithm (GA) and case-based reasoning (CBR) methodologies to estimating the service life of MEP components. The applicability of the model was tested by comparing the outputs of 20 randomly selected test cases with those of retrieved similar cases. The experimental results demonstrated that the overall similarity scores of the retrieved cases were over 90%, and the mean absolute error rate (MAER) of 10-NN was approximately 7.48%. This research contributes to the literature for maintenance management by not only presenting an approach to estimating the service life of building components, but also by helping convert the existing maintenance paradigm from reactive to proactive measures.

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Case-Based Reasoning Approach for Assessing Safety Performance Using Safety-Related Measures

Cited by 21 publications

References 36 publications

Performance Evaluation of Distance Measurement Methods for Construction Noise Prediction Using Case-Based Reasoning

Performance Evaluation of Distance Measurement Methods for Construction Noise Prediction Using Case-Based Reasoning

Impact of safety management system on safety performance: the mediating role of safety responsibility

Preliminary Service Life Estimation Model for MEP Components Using Case-Based Reasoning and Genetic Algorithm

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