• 대한교통학회:학술대회논문집
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• 대한교통학회 1997년도 제32회 학술발표회
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• pp.33-69
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• 1997

This study was conducted to develop a methodology to predict utility pole accident rates and to evaluate cost-effectiveness for safety improvement for utility pole accidents. The utility pole accident rate prediction model was based on the encroachment rate approach introduced in the Transportation Research Board Special Report 214. The utility pole accident rate on a section of highway depends on the roadside encroachment rate and the lateral extent of encroachment. The encroachment rate is influenced by the horizontal and vertical alignment of the highway as well as traffic volume and mean speed. The lateral extent of encroachment is affected by the horizontal and vertical alignment, the mean speed and the roadside slope. An analytical method to generate the probability distribution function for the lateral extent of encroachment was developed for six kinds of encroachment types by the horizontal alignment and encroachment direction. The encroachment rate was calibrated with the information on highway and roadside conditions and the utility pole accident records collected on the sections of 55mph speed limit of the State Trunk Highway 12 in Wisconsin. The encroachment rate on a tangent segment was calibrated as a function of traffic volume with the actual average utility pole accident rates by traffic volume strategies. The adjustment factors for horizontal and vertical alignment were then derived by comparing the actual average utility pole accident rates to the estimations from the model calibrated for tangent and level sections. A computerized benefit-cost analysis procedure was then developed as a means of evaluating alternative countermeasures. The program calculates the benefit-cost ratio and the percent of reduction of utility pole accidents resulting from the implementation of a safety improvement. This program can be used to develop safety improvement: alternatives for utility pole accidents when a predetermined performance level is specified.

• 대한교통학회:학술대회논문집
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• 대한교통학회 1997년도 제32회 학술발표회
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• pp.35-72
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• 1997

This study was conducted to develop a methodology to predict utility pole accident rates and to evaluate cost-effectiveness for safety improvement for utility pole accidents. The utility pole accident rate prediction model was based on the encroachment rate approach introduced in the Transportation Research Board special Report 214. The utility pole accident rate on a section of highway depends on the roadside encroachment rate and the lateral extent of encroachment. The encroachment rate is influenced by the horizontal and vertical alignment of the highway as well as traffic volume and mean speed. The lateral extent of encroachment is affected by the horizontal and vertical alignment, the mean speed and the roadside slope. An analytical method to generate the probability distribution function for the lateral extent of encroachment was developed for six kinds of encroachment types by the horizontal alignment and encroachment direction. The encroachment rate was calibrated with the information on highway and roadside conditions and the utility pole accident records collected on the sections of 55mph speed limit of the State Trunk Highway 12 in Wisconsin. The encroachment rate on tangent segment was calibrated as a function of traffic volume with the actual average utility pole accident rates by traffic volume strategies. The adjustment factors for horizontal and vertical alignment were when derived by comparing the actual average utility pole accident rates to the estimations from the model calibrated for tangent and level sections. A computerized benefit-cost analysis procedure was then developed as a means of evaluating alternative countermeasures. The program calculates the benefit-cost ratio and the percent of reduction of utility pole accidents resulting from the implementation of a safety improvement. This program can be used to develop safety improvement alternatives for utility pole accidents when a predetermined performance level is specified.

• 농업과학연구
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• 제47권2호
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• pp.283-290
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• 2020

In 2018, 647 thousand tons of eggs were produced and consumed. However, the issue of pesticides used for egg in 2017 made Korean consumers worry about the food safety of eggs, and the volume of egg consumption decreased. The Korean egg industry also has another problem due to an unclear and inefficient marketing structure at the farm level. This marketing situation of eggs at the farm level in Korea needs a large-scale restructuring of the market structure, including introducing an EPC (egg processing center). Especially, the introduction of an EPC has been discussed by government officers and specialists, but the social benefit of an EPC, which will be the driving point for approving an EPC, has not been measured yet. The purpose of this study was to measure the effect of introducing an EPC in Korea. Through an analysis using EDM (equilibrium displacement model), a few findings are presented. First, the introduction of an EPC may increase the transparency of price discovery and decrease the transaction cost. And thus, it results in a higher producer price, lower consumer price, and larger quantity at market equilibrium. Second, an EPC will improve the level of food safety of eggs, which can increase the satisfaction of domestic producers and consumers. Third, the introduction of an EPC may create new consumption of eggs. Based on these three effects, the new social benefits in monetary terms from the introduction of an EPC in Korea could be 23.9 - 35.2 billion won.

• 한국IT서비스학회지
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• 제15권4호
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• pp.125-151
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• 2016

In recent years, O2O (Online to Offline) services get a lot of attention to improve the trust in online shopping and minimize the inconvenience and the cost burden in offline shopping as the number of consumers, who do not show concern about the purchase platform like online or offline, increases. Even though the services have been getting the spotlight as a strong business platform for next generation commerce, there have been only a few studies on the O2O services. The purpose of this research is to investigate the factors which affect the consumer's intention to use location-based O2O services. The study is based on VAM (Value-based Adoption Model) which is able to analyze those factors from the aspects of benefit and sacrifice. We used the partial least squares (PLS) method for empirical analysis, and the result shows that contextual offers, instant connectivity, webrooming and economic efficiency, which fall under the benefit, affect perceived value positively while annoyance and face consciousness, which fall under the sacrifice, do not affect perceived value significantly. In addition, contextual offers and instant connectivity affect trust positively. Location accuracy, which falls under the benefit of location-based O2O service, do not significantly affect perceived value and trust while security risk affects trust and use intention negatively. It appears that trust affects perceived value and use intention positively.

• 대한간호학회지
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• 제12권1호
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• pp.25-38
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• 1982

As technological civilization and medical science has developed, standards of living have imp-roved and human life expectancy has been extended. But the incidence and mortality rate of cancer have been gradually increasing due to the pollution of the environment. Even though cancer is still a great threat to human beings, the etiology and appropriate cure forcancerhavenotyetbeendiscovered. The early detection and treatment of cancer is urgently needed. This study concentrates on the health behavior of woman regarding the papanicolau smear for early detection of cervical cancer. It was done in order to provide a direction for scientific health education materials by investigating predictors of preventive health behavior. The subjects for this study were made up of 54 woman, who comply with preventive health practices(compliant) who attended the Cervical Cancer Center of Y University Hospital in order to have tests for early detection of cervical cancer and 54 woman who did not comply with preventive health practices (noncompliant) selected from 100 housewives of I apartment, Kang Nam Ku, Seoul. The study method used, was a questionnaire for the compliance group and an interview for the noncompliance group. The period for data collection was from October 13th to October 24th. 1981. Analysis of the data was done using percentages, T-test, Pearson Correlation and Stepwise Multiple Regression. The results of study were as follows: 1. The hypotheses tested were based on the health belief model; 1) The first hypothesis,“The compliant may have more knowledge of the cervical cancer than the noncompliant”was rejected(T=-1.86, p>.05) 2) The second hypothesis,“The compliant may have a higher severity of cervical cancer than the noncompliant”was accepted (T=5.41, p<.001) 3) The third hypothesis, “The compliant may have a higher susceptability to cervical cancer than the noncompliant”was accepted(T=3.51, p<.01). 4) The fourth hypothesis,“The compliant may have more beneHt than cost'from the cervical cancer tests than the noncompliant" was accepted(T=7.46, p<.001). 5) The fifth hypothesis,“The compliant may have more health concern than the noncompliant”. was accepted(T=3.39, p<.01). These results show that severity, susceptability, benefit(over cost) and health concern influence the preventive health behavior in this Study. 2. In the correlation among variables, it was found that the knowledge of cervical cancer and the benefit(over cost) of preventive health behavior were negatively correlated(r=-2.75, p<.01), Severity of cervical cancer and benefit (over cost) of preventive health behavior were positively correlated(r=.280, p＜.01), severity and susceptability of cervical cancer were positively correlated(r= .238, p<.01), benefit(over cost) and health concern were positively correlated(r= .299, p<.01). The benefit(over cost) may be raised by increasing the severity and health concern. Therefore the compliance rate of woman may be raised through health education by increasing the benefit(over cost) of the individual. 3. The Stepwise Multiple Regression between health behavior and predictors. 1) The factor“Benefit(over cost)”could account for preventive health behavior in 34.4％ of the sample(F=55.6204 P<.01). 2) When the factor“Severity”is added to this, it accounts for 44.3% of preventive health behavior(F=41.679, p<.01). 3) When the factor“Susceptability”is also included, it accounts for 46.7% of preventive health behavior(F=30.373, p<.01). 4) When the factor “Health concern”is included, it accounts for 48.1% of preventive health behavior(F=23859, p<.05). This means that other factors appear to influence preventive health behavior, since the combination of variables explains only 48.1％ of the Preventive health behavior. Therefore further study to investigate the predictors of preventive health behavior is necessary.

• 전기학회논문지P
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• 제61권2호
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• pp.67-73
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• 2012

This paper proposes optimal maintenance strategies for power distribution systems that involve the use of the reliability-centered maintenance (RCM) method. We developed an improved decision model based on the Markov process. This model can obtain the optimal inspection interval and maintenance method based on the total expected cost. We used ordinal optimization for solving the optimal problem. Optimal maintenance strategies were presented by applying the developed method to the RBTS model. A B/C analysis proved that these strategies offer maximum benefit-to-cost.

• 한국컴퓨터정보학회논문지
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• 제24권4호
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• pp.35-43
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• 2019

The purposes of this study is to derive the influence factors of Virtual Reality(VR) technologies acceptance based on the study of unified theory of acceptance and use of technology and value-based acceptance model to test the use and acceptance of VR devices. The survey methods were used for this study, and the data from a total of 400 consumers were used for the analysis. And the structural equation model was used to analyze the data. The results of the study are as follows: First, benefit components perceived enjoyment(EN) and sacrifice components personal innovative(PI) of VR devices were positively related to perceived values and use intention of VR devices, although the benefit components performance expectancy(PE) was positively related to perceived values(PV) but was not positively related to the use intention of VR devices. Second, sacrifice components perceived cost(PC) and anxiety(ANX) of VR devices were negatively related to perceived value(PV), but were not negatively related to the use intention of VR devices. Third, perceived values was not obvious related to the use intention(UI) of VR devices. The results of this study contribute to the literature as a new attempt to examining the effect on consumer use intention in VR technology areas.

• 한국지리정보학회지
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• 제11권1호
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• pp.138-154
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• 2008

1996년부터 3단계 국가GIS 5개년 계획이 시행되고 있는 현재까지 지리정보기술은 다양한 분야에 활용되고 있으나, 그 기술의 근간이 되는 지리공간자료의 최신성과 정확성을 확보할 수 있는 체계를 갖추지 못하고 있다. 지리공간자료(수치지형도, 수치주제도)와 관련된 업무는 지형지물의 변화 발생에서 부터 자료수집, DB 구축, 유통, 공유 등 모두가 개별적으로 이루어지고 있다. 이와 같은 개별구조를 하나의 흐름으로 연계하여 효율적이고 체계적인 업무처리가 이루어질 수 있도록 일관성 있는 모형개발이 요구되고 있다. 본 연구에서는 대구광역시를 사례로 지리공간자료의 경제적 갱신과 교환 방안을 제시하고, 기존의 업무수행 절차와 비교하여 비용편익분석을 실시하였으며, 그 결과를 이용하여 모형을 개발하였다.

• 해양환경안전학회지
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• 제20권2호
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• pp.130-142
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• 2014

정부는 훼손된 해양생태계의 현황 및 원인을 파악하고 생태계 기능 복원 및 손실 방지 전략을 수립하기 위해 해양생태계 복원기술개발 사업의 시행을 고려하고 있다. 사업 시행 여부에 대한 판단을 위해서는 이 사업에 대한 경제적 타당성 분석이 필수적으로 요구된다. 이에 본 연구에서는 조건부 가치측정법(CVM, contingent valuation method)을 적용하여 사업 수행의 경제적 타당성을 분석하고자 한다. 지불의사 유도방법으로 유인일치적인 양분선택형 모형을 이용하되, 지불의사액 추정모형으로 영(0)의 응답을 명시적으로 다룰 수 있는 스파이크 모형을 적용한다. CVM 적용을 위한 설문조사는 미국 해양대기청의 지침에 따라 전국 1,000가구를 대상으로 일대일 개별면접을 통해 2013년에 시행되었다. 분석결과 연간 가구당 평균 지불의사액은 5,414원으로 추정되었다. 이 값을 전국으로 확장하면 향후 5년 동안 연간 약 986억원에 달한다. 이 값과 해양생태계 복원기술개발 사업의 투자비 정보를 이용하여 경제성을 분석한 결과, 순현재가치, 편익/비용 비율, 내부수익률은 각각 3,378억원, 5.20, 65.9 %로 산정되어 각각 0, 1.0, 5.5 %를 상회하므로 이 사업은 비용-편익 분석을 통과한다.

• 대한교통학회지
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• 제17권1호
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• pp.41-52
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• 1999

'90년대 들어 미국을 중심으로 Double Counting 문제와 Keynesian/Neo-classical economics theory 까지 연계되어 교통투자가 경제성장에 거의 영향을 주지 않는다는 이론과 영향을 많이 준다는 상충되는 연구결과가 계속 발표되었다. 본 논문은 교통에 대한 투자가 경제성장에 미치는 영향을 계량적으로 분석한 것이다. 범위를 좁혀 도로에 대한 투자가 생산성 즉 제조업체의 물류비에 미치는 영향을 Stated Preference Technique를 이용하여 분석한 것이다. 도로이용 승객의 시간가치를 추정하는 일반적인 Cost/Benefit Analysis와는 달리 화물수송과 관련된 투자효과를 분석하였다. 먼저 도로에 대한 투자가 화물의 수송시간절약과 그에 따른 창고시설, 재고관리등에 미치는 영향을 continuous review system과 periodic review system으로 나누어 이론적으로 고찰하였다. 또한 본 논문에서는 Utility Model에 기초하여 시간가치(value of time)와 화물도착의 정확성 (value of reliability)을 도착지별(depot/consumer)과 상품별로 econometrics 기법을 활용 분석한 후 영국의 COBA와 비교 검토하였다. 종합적으로 도로에 대한 투자가 시간절약, 운행비용절감, 사고비용절감 등 직접적인 효과(direct benefit)외에 depot감소, 운행차량감소, 재고비용절약, 유휴자원의 활용 등(secondary benefits)을 통하여 경제성장에 긍정적인 영향을 끼치고 있는 것으로 나타났다.