• Title/Summary/Keyword: qualitative risk assessment model

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Verification of Landfill Hazard Ranking Model by Sensitivity Analysis (민감도 분석에 의한 LHR 모형의 검증)

  • Hong, Sangpyo;Kim, Jungwuk
    • Journal of Environmental Impact Assessment
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    • v.6 no.2
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    • pp.113-121
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    • 1997
  • LHR(Landfill Hazard Ranking Model) was developed for assessing the relative hazard of landfills by using the method of value-structured approach. LHR consists of combining a multiattribute decision-making method with a qualitative risk assessment approach. A pairwise comparision method was applied to determine weights of landfill factors related. To prove the validity of weights allocation of landfill hazard evaluation factors, sensitivity analysis was applied. Firstly, the impact on landfill hazard score according to variations of weights of landfill hazard factors was analyzed. Secondly, the impact on landfill hazard score according to conditions change of landfill hazard factors was analyzed. As a result of sensitivity analysis, LHR composite scores are largely influenced by some factors following sequential order such as waste volume, proximity to sensitive environments, containment facilities, distance from drinking water supplies, and waste toxicity. The relative order of landfill hazard evaluated by LHR is not influenced by the weights change of individual factors. Therefore, LHR seems to be a credible model to determine priorities of landfill remediation based on the vulnerability of water resources.

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Comparison and Analysis on Risk Assessment Models of Coastal Waters considering Human Factors (인적요인을 고려한 연안해역 위험도 평가모델 비교·분석)

  • Kim, In-Chul;An, Kwang
    • Journal of Navigation and Port Research
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    • v.40 no.1
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    • pp.27-34
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    • 2016
  • For the prevention of marine casualties, international bodies have mainly focused on strengthening ship's stability and design, maritime education and training, and improving maritime traffic environment. Statistics analysis on marine casualties showed that most of casualties occurred in coastal waters, especially by human elements. In order to review the conformity of existing prevention measures with the result of the statistics analysis, the IMO's SHELL model was applied to the established measures. As a result, ergonomic approaches were needed for the prevention of human errors in coastal waters, so that the priority should be given to the interface between ship's operator and navigational environment. For this study, Rasmussen's SRK pyramid, which showed decision making mechanism of human, and the US Coast Guard's investigation manual on marine casualties concerning the collapse of safe maritime transportation system were reviewed, and the merits and demerits within the risk assessment tools such as IWRAP, PAWSA, ES model, PARK model, and NURI model were also studied. Although the effectiveness of the existing risk assessment models was proved in ports and approaching channels, it is concluded that the need of new models for converting Korean seafarers' qualitative risk to quantitative risk was proposed so as to print hazard maps which make seafarers instinctively recognize comparative hazard levels of coastal waters.

A Study on Analysis of Personal Information Risk Using Importance-Performance Analysis (IPA를 이용한 개인정보 위험도 분석 연구)

  • Jeong, Su-Jin;Kim, In-Seok
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.15 no.6
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    • pp.267-273
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    • 2015
  • For newly incoming technologies owing to the advancements in information and communications technology, the new form of information occurs due to the combination form of personal information. In turn, personal information which is combination with existing personal information is on the increase. It is difficult to equalize the method in order to analysis the degree of risk for personal information because it is qualitative method which is defined on the current Personal Information Protection Law. This dissertation presents the model to assess the degree of risk by using the IPA(Importance-Performance Analysis) after measuring the importance and the weighted value for the personal information based on the existing the method of risk assessment. Through the model suggested in this dissertation, the subjective judgement can be excluded, the combination of personal information can be assessed and the standard criteria which is used as the objective indicators from the quantitative degree of risk can be suggested.

A Study on the Development of Driving Risk Assessment Model for Autonomous Vehicles Using Fuzzy-AHP (퍼지 AHP를 이용한 자율주행차량의 운행 위험도 평가 모델 개발 연구)

  • Siwon Kim;Jaekyung Kwon;Jaeseong Hwang;Sangsoo Lee;Choul ki Lee
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.22 no.1
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    • pp.192-207
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    • 2023
  • Commercialization of level-4 (Lv.4) autonomous driving applications requires the definition of a safe road environment under which autonomous vehicles can operate safely. Thus, a risk assessment model is required to determine whether the operation of autonomous vehicles can provide safety to is sufficiently prepared for future real-life traffic problems. Although the risk factors of autonomous vehicles were selected and graded, the decision-making method was applied as qualitative data using a survey of experts in the field of autonomous driving due to the cause of the accident and difficulty in obtaining autonomous driving data. The fuzzy linguistic representation of decision-makers and the fuzzy analytic hierarchy process (AHP), which converts uncertainty into quantitative figures, were implemented to compensate for the AHP shortcomings of the multi-standard decision-making technique. Through the process of deriving the weights of the upper and lower attributes, the road alignment, which is a physical infrastructure, was analyzed as the most important risk factor in the operation risk of autonomous vehicles. In addition, the operation risk of autonomous vehicles was derived through the example of the risk of operating autonomous vehicles for the 5 areas to be evaluated.

CVD-related Knowledge, Perception, Belief and Prevention Behaviors of Korean Blue-collar Workers: Needs Assessment for Developing the Intervention Program through Qualitative Approach (한국 생산직 근로자들의 심혈관질환 관련 지식, 인식, 신념 및 예방행위: 내용분석을 통한 심혈관질환 위험 감소 중재 프로그램 개발을 위한 요구사정)

  • Hwang, Won Ju;Park, Yunhee
    • Korean Journal of Occupational Health Nursing
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    • v.25 no.4
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    • pp.362-372
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    • 2016
  • Purpose: This study intended to grasp real context of Cardiovascular disease (CVD)-related factors of Korean blue-collar workers, especially CVD-related knowledge, perception, beliefs, benefits and barriers of behaviors according to the health belief model. Methods: We interviewed twenty two workers working in two small-sized companies and performed two series of focus group interviews. Data were analyzed by deductive content analysis approach based on Elo & $Kyng{\ddot{a}}s$. Results: Excepting participants who have CVD risk factors, most participants had lower level of CVD risk perception. The level of CVD knowledge was low but there was difference by gender. CVD-related beliefs were 'fatal disease', 'caused by lifestyle' and 'difficult to prevent by themselves'. The risk reduction behaviors were motivated by current or family history of hypertension. But there were barriers to interfere practice of preventive behaviors such as poor quality of food provided by cafeteria in the workplace, frequent overtime, victim mentality as one of vulnerable social group, housework and financial burden, lack of facilities for rest and physical activity in the workplace. Conclusion: To develop intervention for reducing CVD risks in Korean blue-collar workers, we need to focus on improving CVD knowledge and perception and modifying work-related environments such as low quality of food and lack of facilities for rest and physical activity in the workplace.

Social Business in An Emerging Economy: An Empirical Study in Bangladesh

  • CHOWDHURY, Fatema Nusrat;MUSTAFA, Jasia;ISLAM, K.M. Anwarul;HASAN, K.B.M. Rajibul;ZAYED, Nurul Mohammad;RAISA, Tahsin Sharmila
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.3
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    • pp.931-941
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    • 2021
  • The study focuses on the relationship between SB, corporate social responsibility (CSR), and the emerging economy. Thereafter it highlights the types, principles, and funding cycle of SB with the evidence from Grameen Bank, which is a globally well-recognized microfinance venture in Bangladesh established by the Nobel Laureate Dr. Muhammad Yunus. This study employs qualitative analysis to illustrate an architectural overview of the SB model by collecting secondary data from various publications related to the topic and published data of Grameen Bank. Finally, this paper illustrates the SB model along with specified characteristics, systematic framework, and main approaches for sustainable context, which could be applied as a conceptual framework for SB in any context of the emerging economy. The findings of this study suggest that the SB model is the workflow having a hierarchy of five phases namely need identification, goal setting, solution-based business plan, business plan assessment, and business plan execution. Analyzing a range of social business interventions in a developing country, Bangladesh, through the lens of five key aspects demonstrates that social business is the most efficient way to sustainably maximize the social benefits and minimize specific social issues poverty of the people affected.

Analysis of Educational Needs for Strengthening Entrepreneurial Competencies of Science and Technology Personnel (과학기술인력의 기업가역량 강화를 위한 교육요구도 분석)

  • Lee, Junghwan;Kim, Jinyong
    • The Journal of the Korea Contents Association
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    • v.18 no.10
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    • pp.289-297
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    • 2018
  • This study analyzed the Entrepreneurial Competencies of Science and Technology Personnel from the point of view of the industry's demanders. It is necessary to change institutional and policy support from quantitative support to improvement of qualitative level. Specifically, this study used the Borich's Needs Assessment Model to determine what capabilities are currently lacking and which should be supplemented. As a result of analysis, it showed that the current level was lower than expected level. Especially, expectation level was high in order of team working, problem solving ability, communication, abstract thinking, job knowledge, Autonomy, leadership, risk-taking, and commercialization are all lower than the overall average. In the analysis of educational need, the most important factor of entrepreneurial competence appeared in order of problem solving ability, teamworking, job related knowledge, abstract thinking, and communication. This means that it is necessary to logically solve the problems that are encountered in various situations in the organization by using cooperation between the teams and their own job knowledge. In addition, education should be conducted to effectively communicate the results to others.

Weighted Association Rule Discovery for Item Groups with Different Properties (상이한 특성을 갖는 아이템 그룹에 대한 가중 연관 규칙 탐사)

  • 김정자;정희택
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.8 no.6
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    • pp.1284-1290
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    • 2004
  • In market-basket analysis, weighted association rule(WAR) discovery can mine the rules which include more beneficial information by reflecting item importance for special products. However, when items are divided into more than one group and item importance for each group must be measured by different measurement or separately, we cannot directly apply traditional weighted association rule discovery. To solve this problem, we propose a novel methodology to discovery the weighted association rule in this paper In this methodology, the items should be first divided into sub-groups according to the properties of the items, and the item importance is defined or calculated only with the items enclosed to the sub-group. Our algorithm makes qualitative evaluation for network risk assessment possible by generating risk rule set for risk factor using network sorority data, and quantitative evaluation possible by calculating risk value using statistical factors such as weight applied in rule generation. And, It can be widely used for new model of more delicate analysis in market-basket database in which the data items are distinctly separated.

Community-Based Health Education and Communication Model Development for Opisthorchiasis Prevention in a High Risk Area, Khon Kaen Province, Thailand

  • Promthet, Paitoon;Kessomboon, Pattapong;Promthet, Supannee
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.17
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    • pp.7789-7794
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    • 2015
  • Background: This study aimed to evaluate the impact of a community-based health education and communication programme on reducing liver fluke infections caused by the consumption of uncooked fish among people in a high-risk area of Thailand. Materials and Methods: The study was quasi-experimental in nature, with three-stages. Stage 1 involved a situational and capacity analysis of designated communities in Khon Kaen province. This was followed by the development of a model for community-based health education and communication to prevent liver fluke infections among high-risk people, and, lastly, implementation and evaluation of the model were performed. Data were collected using both qualitative and quantitative methods. In total, 390 people were surveyed, and quasi-experimental and comparison groups, each with 90 people, were assessed between May 2011 and April 2012. Analysis was using statistical OR, 95 % CI, the Willcoxon matched pairs signed ranks test, the chi-square test, and the Mann-Whitney U test. Results: The findings showed that most respondents had a high level of knowledge and understanding of liver fluke disease (89.5%, 95% CI:86.0-92.4), and positive attitudes toward the prevention of the disease (94.4%, 95% CI:91.6-96.4). However, with regard to changes in consumption of uncooked fish, most respondents were still in the pre-contemplation phase (55.1%, 95% CI:50.0-60.1), followed by the contemplation phase, 22.6%. Furthermore, four factors were found to be associated with the consumption of uncooked fish - the consumption of alcohol (OR 4.16, 95% CI:1.79-9.65), gender (OR 3.17, 95% CI:1.53-6.54), smoking (OR 3.03, 95% CI:1.31-7.05), and age 40 years and above (OR 2.68, 95% CI:1.02-7.05). After nine months of the health education and communication programme using local media based on local wisdom, culture and persons, the results showed that, compared to the control group, members of the experimental group had a higher level of knowledge, a better attitude and lower levels of ill-advised consumption behaviour. Also, it was found that consumption of uncooked fish, by an assessment of the level of stage of change, was reduced. (p-value 0.002). Conclusions: The health education and communication programme developed as part of the study was effective in changing the consumption of uncooked fish. Therefore, this approach should be promoted in other high-risk areas in Thailand in the future.

I Do Not Even Say "It" - a Mixed Methods Study on Breast Cancer Awareness of Omani Women

  • Alkhasawneh, Esra;Siddiqui, Saad T;Leocadio, Michael;Seshan, Vidya;Al-Farsi, Yahya;Al-Moundhri, Mansour S
    • Asian Pacific Journal of Cancer Prevention
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    • v.17 no.4
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    • pp.2247-2254
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    • 2016
  • Background: The incidence of breast cancer is rising in Oman, and the disease is diagnosed at late stages, when treatment success is limited. Omani women might benefit from better awareness, so that breast cancer can be detected early and treated. This study was conducted to assess Omani women's levels of breast cancer awareness and early detection practice, and explore factors which might influence these levels. Materials and Methods: A mixed methods study was conducted in 2014, including a quantitative survey of 1,372 and a qualitative assessment of 19 Omani women, aged ${\geq}20years$ from five Omani governorates using convenient sampling. Demographic information and scores for awareness levels were used in a multivariate regression model to investigate factors associated with awareness. Thematic analysis and interpretive description were used to analyse the qualitative data. Results: The overall means for early detection and general awareness scores were 0.58 (SD 0.24) and 0.46 (SD 0.21), respectively. General awareness was significantly associated with age, education, income and familiarity with cancer patients (p<0.05), while early detection was significantly associated with age, marital status and education. A majority of women (59.5%) agreed with a belief in 'evil eye' or envy as a risk factor for breast cancer. Women discussed various factors which may empower or inhibit awareness, including the cultural-religion-fatalistic system, personal-familial-environmental system, and healthcare-political-social system. Conclusions: The overall low scores for awareness and early detection, and the survey of local beliefs highlight a severe necessity for a contextually-tailored breast cancer awareness intervention programme in Oman.