• Journal of Korean Society of Transportation
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• v.31 no.3
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• pp.86-95
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• 2013

In this study, a model of compensation and amendment of forecasted travel demand was developed to calculate the range of values depends on the changes in the risk factors, selecting factors that might affect traffic demand changes among risk factors. Selected factors are as follows: influenced area population, the number of registrated vehicle per person, ratio of service industry workers, and city intervals. Then this model is applied to six routes of expressway and the calculated value were compensated with error rate being reflected on each quartile value with respect to influenced area population (200,000 people standards). Result from appling developed model to Cheongwon-Sangju expressway suggests that the model could compensate the error rate by more than 50%, which in turn validate the effectiveness of the model developed. Some limitations and future research agenda have also been identified.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.2
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• pp.13-22
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• 2017

The present study proposes a new methodology for predicting the demand for truck rest areas beside national highways. Previous demand forecasting methods were reviewed first in order to complement them with additional items. The results of the study are as follows. In the demand forecasting process, the primary task is to divide parking demands of trucks into short-term parking and long-term parking. Since short-term and long-term parking vary in utilization, congestion, and turnover rate, different influence factors should be considered according to parking time. Furthermore, the demand characteristics of rest and convenience facilities need to be reflected as well, because they in turn affect the demand for truck rest areas. In sum, the demand forecasting process for destination-type truck rest areas on national highways requires more attention than that for truck rest areas on expressways, and possible influences of various factors should be examined in this process.

• Korean Journal of Social Welfare Studies
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• v.47 no.3
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• pp.187-221
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• 2016

This study examines determining factors of effectiveness and satisfaction of Veteran Medical Service Delivery System. Especially, the association between the relevant variables of the effectiveness of the Veteran Medical Service Delivery System and the variables of the satisfaction from the perspective of beneficiaries was studied. Multi-level analysis was utilized to separate results of the evaluation of effectiveness in organizational-level and the evaluation of satisfaction in individual-level. This study tests key posited hypothesis by using survey data collected from 5 medical center of country(Seoul, Busan, Daejeon, Daegu, Gwangju). In terms of the result of the hypothesis testing on the effectiveness variable, integrity(${\beta}=.156$), accountability(${\beta}=.376$, financial sufficiency(${\beta}=.109$), and adequacy (${\beta}=.367$) are the determinants among various factors in evaluating veteran medical service delivery system, statistically reflecting the perception of directors of the veteran medical service delivery facilities on effectiveness. In other word, professionalism variable(${\beta}=0.99$) and effectiveness variable(${\beta}=-1.09$) are statistically reflecting the perception of directors of the beneficiaries satisfaction with employee. The findings suggests that the theoretical and practical implications will improve Effectiveness and Satisfaction of Veteran Medical Service Delivery System.

• Journal of the Korea Convergence Society
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• v.6 no.6
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• pp.221-229
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• 2015

This study aims to identify and analyze the main factors that determine the properties and buying behavior in the premium bottled select and analyze the degree of impact on the relevant variables are premium water demand. When applied to the truncated negative binomial model to derive the study results: The results of estimating the variables that affect the demand for premium mineral water are as follows. Premium bottled water demand of this group my purchases with a choice between buying behavior variables are significantly higher than the relative population. To also do a good ingredient water, it appeared to be on a statistically significant positive effect on the demand for the more groups you purchase a premium bottled water for the purpose of receiving special feeling, just buy purpose is called to drinking water does not significantly affect to be analyzed. Among demographic characteristics it showed that demand for premium bottled water purchases are significantly higher in women than in men, professional / clerical job, such as the military, college graduates were more consumer research as significant in comparison to the relative population. Taste and package design factors of premium bottled mineral water among the select attribute factors are having a significant positive impact on the purchasing demand, local conditions and cost factors have been estimated to be insignificant.

• Land and Housing Review
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• v.6 no.4
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• pp.239-239
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• 2015

최근 국내 주택시장에서의 관심은 수요와 공급의 불일치 해소이다. 이를 위해서는 정확한 수요권역 설정에 의한 사업지구별 수요예측이 필수적이다. 본 연구에서는 주택시장권역 설정 시 선행연구에서 사용하는 가구이동자료 기준의 수요권역과 청약자 주소지에 의한 실제 수요권역의 차이를 비교분석 하였다. 수도권 3개 택지개발지구를 대상으로 한 실증분석 결과, 청약자료에 의한 실제 수요권역은 가구이동자료 기준의 수요권역에 비해 확대되는 것으로 나타나 기존의 가구이동자료 기준에 의한 수요권역 설정의 보완이 필요한 것으로 판단된다. 특히 사업지구와 서울 도심과의 거리, 핵심 수요권과 배후수요권의 수요구성비와 같은 입지경쟁력, 개발규모(신도시급 여부) 등의 변수가 정확한 수요권역의 설정을 위해 우선적으로 보완되어야 할 변수로 나타났다. 또한 동일 사업지구에 있어서도 임대/분양과 같은 주택유형, 주택의 규모에 따라 수요권역의 차이를 보였다. 아울러 부동산경기 역시 수요권역의 범위형성에 영향을 미치고 있으며 정확한 수요권역 분석을 위해서는 주택가격, 사업지구 입지경쟁력 등이 함께 복합적으로 고려되어야 할 필요성이 확인되었다.

• Proceedings of the KIEE Conference
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• 2000.07b
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• pp.1445-1447
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• 2000

본 논문에서는 철도 수요예측 문제의 유형을 목적에 따라 3가지로 분류하였고, 최근 철도자원을 재고관리 차원에서 접근하고자 하는 시각에 따라 분배모형으로써 적응필터를 사용하는 방법의 타당성에 대해 설명하였다. 또 철도 승객수요의 주요 특징을 분석하였으며, 철도 승객수요 예측의 요구사항 및 방법론을 대규모 재고관리 시스템의 일반적 요구사항에 따라 정리하였다. 영향인자에 대한 분석으로 요일별 계절변동 지수를 정량적으로 산정하였다. 적응필터를 이용한 철도 승객수요 예측의 예제를 제시하였으며, 예측에의 정확성에 대한 비교를 제시하였다.

• Economic Analysis
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• v.25 no.3
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• pp.30-69
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• 2019

This paper analyzes the effects of trade on demand for labor of trading firms in Korea. We apply system GMM methodology to estimate the effects of imports and exports on employment of Korean manufacturing firms using firm-level data from the Survey of Business Activities of Statistics Korea between 2006 and 2014. According to our estimated results, for firms with high-productivity, exports have a positive and significant effect on the labor demand, while other firms do not show any such significant effects. Furthermore, our results show that offshoring mitigates the positive effects of exports on employment, since tasks within the firms can be relocated abroad. On the other hand, an increase in imports reduces demand for labor because labor is replaced with low-priced imported inputs. Also, when firms partake in global outsourcing, the negative effects of imports are mitigated as those firms expand their production by enhancing their efficiency in the process of offshoring. Therefore, our results suggest that it is important to consider heterogeneous firm productivity as well as offshoring in analyzing the effect of trade on labor demand of firms.

• Journal of the Economic Geographical Society of Korea
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• v.14 no.3
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• pp.286-306
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• 2011

Based on the announcement by the National Competitiveness Council in 2008, this study analyzed the direction of the changing policy in Seoul Metropolitan Area promoted by the current government and to inquire into such the effect, research was done to study the changes in space demand by companies which respond sensitively to changes in regulation in Seoul Metropolitan Area. In addition, the effect of Seoul Metropolitan Area policy on company location is explored while company location changes and changes in direction of space demand due to easing of regulation in Seoul Metropolitan Area by the current government are examined. Research methods utilized empirical analysis and survey analysis. Empirical analysis utilized statistical data since 1980's. For survey analysis, the effect of changing policy in Seoul Metropolitan Area, which is an exogenous shock, on decision making of the enterprise is considered to derive the direction of demand for company manufacturing lots. The results of the study showed that decision for company location or factory size has been affected greatly by Seoul Metropolitan Area policy and domain regulation and institution to restrict permission area of a manufacturing building from the law of improvement plan of the Metropolitan area were the biggest regulatory policies. Due to easing of regulation in Seoul Metropolitan Area by the current government, the demand for manufacturing lot is expected to increase. In particular, the demand for manufacturing lot is expected to increase centered around Seoul Metropolitan Area and Chungcheong province while demand is expected to decrease in Gangwon province. The reason is because company preference is high for the Seoul Metropolitan Area which has the best transportation/logistics and market conditions in Korea. But in the case of Southeast region and Daegyung region that form exclusive economic zones, changing policy in Seoul Metropolitan Area has little impact. In the case of Seoul Metropolitan Area, demand increase does not occur in the entire area but instead, demand is expected to increase in growth management zones.

• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.587_588
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• 2009

본 논문에서 전력 시스템 운영자의 trigger poin와 수요 반응 프로그램 참여자의 가격 탄력성에 따라 수요 반응 이후의 전기 가격을 예측하여 경제성 수요 반응 프로그램에 어떤 영향을 끼치는 지 살펴보고 운영자가 수요 반응 프로그램 반응 정보를 쉽게 파악할 수 있게 PR을 제안한다.

• Journal of the Korean Operations Research and Management Science Society
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• v.1 no.1
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• pp.77-80
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• 1976

병원정책에 있어 병원사업활동에 동원되는 인력을 추산하고 이를 적절히 배치운영함으로서 동원된 인력의 생산성있는 능력을 유지 및 개발하기 위한 행정적 노력은 병원운영의 성공여부를 판가름하는 중요한 일이 되고 있다. 그러나 간호인력 수요에 관한 문제는 광범위하고도 복합적인 수요를 내포하고 있다. 본문에서는 간호인력수요추계에 영향을 미치는 요소분석의 필요성과 간호인력수요추정에 이용되는 지표에 대하여 논술하고저 한다.