Evaluation on Risk at the Port of Mokpo and its Approaches based on Relative Importance of Risk Factors for Marine Traffic Environment

Purpose – The purpose of this paper is to identify, explore, rank the relative importance and determine the prevalent allocation response trends of the major construction risk factors considered by general contractors operating in the State of Qatar. Design/methodology/approach – A structured questionnaire survey comprising 37 potential risk factors was distributed to a statistically representative sample of contractors. The influence ranks of the factors explored were determined using the “Relative Importance Index (RII)” technique, whereas the prevalent trend of contractors’ attitudes toward risk allocation of each factor investigated was quantified and expressed as a percentage, based on the number of respondents who selected a specific option, in relation to the total number of respondents. Findings – The results obtained indicate that risks related to the “client” group are perceived as most critical, followed by the “consultant”, “contractor” and “exogenous” group-related factors, respectively. The outcomes further show that the “transfer” option is the contractors’ prevalent response to “client” and “consultant”-related risks, while the “retention” decision is the principal pattern linked to “contractor” and “exogenous” group-related risk factors. Research limitations/implications – The dominant respondents’ perception that the crucial construction risks are related to clients and consultants suggests that these two parties have an essential role in controlling the negative ramifications of the associated factors. Practical implications – The findings suggest that increasing designers’ awareness of the significant effect of applying the constructability concept can considerably help reducing the risks concomitant of the construction operation. Policy makers may contribute, moreover, in alleviating the risk of incompetent technical staff and operatives’ employment by controlling the migration of inexperienced and unskilled construction workforce into the State. Originality/value – Given the knowledge gap for the major construction risk factors considered by general contractors in Qatar, the results reported in this study can provide clients, industry practitioners and policy makers with guidance to effectively manage the significant risks determined, which can further assist in achieving a reasonable level of competitiveness and cost-effective operation.

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The Relative Importance of Fall Risk Factors: Analysis and Summary

10.1017/9781108594455.016 ◽

2021 ◽

pp. 237-248

Author(s):

Stephen R. Lord ◽

Catherine Sherrington ◽

Vasi Naganathan

Keyword(s):

Risk Factors ◽

Fall Risk ◽

Relative Importance ◽

Factors Analysis ◽

Fall Risk Factors

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Application of an artificial neural network model for early outcome prediction of gamma knife radiosurgery in patients with trigeminal neuralgia and determining the relative importance of risk factors

Clinical Neurology and Neurosurgery ◽

10.1016/j.clineuro.2018.11.007 ◽

2019 ◽

Vol 179 ◽

pp. 47-52

Author(s):

Abolhassan Ertiaei ◽

Zohreh Ataeinezhad ◽

MohammadAli Bitaraf ◽

Abdolreza Sheikhrezaei ◽

Hooshang Saberi

Keyword(s):

Neural Network ◽

Risk Factors ◽

Artificial Neural Network ◽

Trigeminal Neuralgia ◽

Neural Network Model ◽

Artificial Neural Network Model ◽

Outcome Prediction ◽

Gamma Knife Radiosurgery ◽

Relative Importance ◽

Early Outcome

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Risk factors for loneliness: The high relative importance of age versus other factors

PLoS ONE ◽

10.1371/journal.pone.0229087 ◽

2020 ◽

Vol 15 (2) ◽

pp. e0229087 ◽

Cited By ~ 3

Author(s):

Bridget Shovestul ◽

Jiayin Han ◽

Laura Germine ◽

David Dodell-Feder

Keyword(s):

Risk Factors ◽

Relative Importance ◽

High Relative Importance

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Relative importance of prenatal and postnatal determinants of stunting: data mining approaches to the MINIMat cohort, Bangladesh

BMJ Open ◽

10.1136/bmjopen-2018-025154 ◽

2019 ◽

Vol 9 (8) ◽

pp. e025154 ◽

Cited By ~ 1

Author(s):

Pernilla Svefors ◽

Oleg Sysoev ◽

Eva-Charlotte Ekstrom ◽

Lars Ake Persson ◽

Shams E Arifeen ◽

...

Keyword(s):

Risk Factors ◽

Parental Education ◽

Linear Growth ◽

Infant Nutrition ◽

Substantial Reduction ◽

Child Growth ◽

Conditional Inference ◽

Household Food Security ◽

Growth Trajectories ◽

Relative Importance

IntroductionWHO has set a goal to reduce the prevalence of stunted child growth by 40% by the year 2025. To reach this goal, it is imperative to establish the relative importance of risk factors for stunting to deliver appropriate interventions. Currently, most interventions take place in late infancy and early childhood. This study aimed to identify the most critical prenatal and postnatal determinants of linear growth 0–24 months and the risk factors for stunting at 2 years, and to identify subgroups with different growth trajectories and levels of stunting at 2 years.MethodsConditional inference tree-based methods were applied to the extensive Maternal and Infant Nutrition Interventions in Matlab trial database with 309 variables of 2723 children, their parents and living conditions, including socioeconomic, nutritional and other biological characteristics of the parents; maternal exposure to violence; household food security; breast and complementary feeding; and measurements of morbidity of the mothers during pregnancy and repeatedly of their children up to 24 months of age. Child anthropometry was measured monthly from birth to 12 months, thereafter quarterly to 24 months.ResultsBirth length and weight were the most critical factors for linear growth 0–24 months and stunting at 2 years, followed by maternal anthropometry and parental education. Conditions after birth, such as feeding practices and morbidity, were less strongly associated with linear growth trajectories and stunting at 2 years.ConclusionThe results of this study emphasise the benefit of interventions before conception and during pregnancy to reach a substantial reduction in stunting.

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Deng Entropy Weighted Risk Priority Number Model for Failure Mode and Effects Analysis

Entropy ◽

10.3390/e22030280 ◽

2020 ◽

Vol 22 (3) ◽

pp. 280 ◽

Cited By ~ 7

Author(s):

Haixia Zheng ◽

Yongchuan Tang

Keyword(s):

Risk Factors ◽

Risk Factor ◽

Failure Mode ◽

Evidence Theory ◽

Relative Weight ◽

Relative Importance ◽

Risk Priority Number ◽

Domain Experts ◽

Entropy Weighted ◽

Deng Entropy

Failure mode and effects analysis (FMEA), as a commonly used risk management method, has been extensively applied to the engineering domain. A vital parameter in FMEA is the risk priority number (RPN), which is the product of occurrence (O), severity (S), and detection (D) of a failure mode. To deal with the uncertainty in the assessments given by domain experts, a novel Deng entropy weighted risk priority number (DEWRPN) for FMEA is proposed in the framework of Dempster–Shafer evidence theory (DST). DEWRPN takes into consideration the relative importance in both risk factors and FMEA experts. The uncertain degree of objective assessments coming from experts are measured by the Deng entropy. An expert’s weight is comprised of the three risk factors’ weights obtained independently from expert’s assessments. In DEWRPN, the strategy of assigning weight for each expert is flexible and compatible to the real decision-making situation. The entropy-based relative weight symbolizes the relative importance. In detail, the higher the uncertain degree of a risk factor from an expert is, the lower the weight of the corresponding risk factor will be and vice versa. We utilize Deng entropy to construct the exponential weight of each risk factor as well as an expert’s relative importance on an FMEA item in a state-of-the-art way. A case study is adopted to verify the practicability and effectiveness of the proposed model.

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