청바지제품 세분시장 내 가격-품질 평가집단 추출에 관한 연구 : 결합분석과 mixture model를 이용하여 Based on Conjoint analysis and mixture model

곽영식,이진화 한국의류학회 2002 한국의류학회지 Vol.26 No.11

The purpose of this study was to identify the consumers who use the level of price as the indicator of the product quality. In order to implement the purpose of this study, Jeans market had been segmented by the mixture regression model, and price response function was calibrated for each segment. Based on the types of price response function, segments were allocated into one of two groups the group using the level of price as the quality indicator or the group not using the level of price as that. Then, characteristics of both groups were compared in terms of product attributes and demographic variables. Data were collected from the sample of the 230 undergraduate and graduate students in Seoul. For the data analysis mixture regression model, conjoint analysis and t-test were used. As a result, jeans market was divided into 5 segments. Segment 1,2,3 were allocated into the group not using the level of price as the quality indicator while segment 4,5 were done into the other group. Significant differences existed between two groups in product atttibutes, not in demographic variables. Mixture model and conjoint analysis were proved to be an effective set of tools in market segmentation.

Warehouse rental market segmentation using spatial profile regression

Lim, Hyunwoo,Yoo, Eun-Hye,Park, Minyoung Elsevier 2018 Journal of transport geography Vol.73 No.-

<P><B>Abstract</B></P> <P>Warehouse rental markets can be segmented into multiple submarkets in which rental storage units share similar structural characteristics in that they are reasonably close substitutes for one another with their geographical proximity. Improved understanding of warehouse rental market segmentation enables warehouse owners to effectively formulate marketing strategies and warehouse renters to reduce search costs. Previous studies either assumed <I>a priori</I> submarkets or used cluster analysis to delineate submarkets based entirely on the similarity of rental prices. However, such approaches have limitations in addressing associations between warehouse rents and their determinants because of the potential spatial autocorrelation and multicollinearity in warehouse rent data sets. In the present study, we address the gap in the literature by introducing a method known as Bayesian spatial profile regression for warehouse rental submarket segmentation. This approach allows us to assess meaningful relationships between warehouse rents and their determinants as a unique profile for each submarket, while accounting for spatial autocorrelation in warehouse rents and multicollinearity among their determinants. In a case study, we demonstrated an application of spatial profile regression to a warehouse rent data set for the Seoul Metropolitan Area (SMA) of South Korea and identified two submarkets: high-rent and low-rent groups. The high-rent group was strongly associated with proximity to the urban center in Seoul and Incheon Port, higher floor area ratio, relatively older building age, higher land price, transportation, and automated warehousing services. The associations for the low-rent group were the opposite of the high-rent group and featured proximity to industrial complexes away from the urban center. The results reflected the highly polarized segmentation of the warehouse rental market in the SMA.</P> <P><B>Highlights</B></P> <P> <UL> <LI> This study proposed a Bayesian spatial profile regression as a means of empirically deriving warehouse rental submarkets. </LI> <LI> The proposed method accounts for both spatial autocorrelation present in warehouse rents and multicollinearity among the known rent price determinants. </LI> <LI> By integrating cluster analysis and multivariate regression analysis this allows us to investigate meaningful relationship between warehouse rents and their determinants as a unique profile for each submarket. </LI> <LI> In a case study, two warehouse rental submarkets were identified in the Seoul Metropolitan Area (SMA) of South Korea: high-rent and low-rent groups. </LI> <LI> The high-rent group was strongly associated with proximity to the urban center in Seoul and Incheon Port, higher floor area ratio, relatively older building age, higher land price, transportation, and automated warehousing services. </LI> <LI> The associations for the low-rent group were the opposite of the high-rent group and featured proximity to industrial complexes away from the urban center in Seoul. </LI> <LI> The results reflected the highly polarized segmentation of the warehouse rental market in the SMA. </LI> </UL> </P>

의료급여 환자 대상 의약품 중복투약 관리프로그램이 약국약제비와 원외처방조제서비스 이용에 용에 미치는 영향

김성옥 ( Seong Ok Kim ),박실비아 ( Sylvia Park ),이주향 ( Ju Hyang Lee ) 한국보건경제정책학회 2014 보건경제와 정책연구 Vol.20 No.1

The prevention program of medication duplication for the Medicaid patients has been implemented since March 2010 to prevent duplication of same ingredient administration in outpatient prescription. The objective of this article is to evaluate short term effect of the program in terms of saving in medical expenditure and shortening of medical use using segmented regression analysis. National Health Insurance Claims data from March 2009 to August 2011 to was used to explore the prevention program of medication duplication for the Medicaid patients with segmented regression analysis. The results showed that the program influenced on the use of outpatient prescription services (measured as prescription days) and pharmaceutical expenditures (measured as pharmacy costs). Although this study has significant limitation that the comparison period has duplicated with the Drug Utilization Review program initiation (October 2010), but DUR didn`t manage any limitation to the outpatient prescription services. Thus we assume the decreasing effect of outpatient prescription services and pharmaceutical expenditures mainly due to the prevention program of medication duplication. However, the patients identified as medication duplication users are mostly suffer from chronic diseases, comprehensive measure to prevent medication duplication to promote rational use for the Medicaid patients. Since medications for chronic diseases were screened with the prevention program of duplication, policy makers need to develop comprehensive drug review and management service to improve rational drug use.

The Cognitive and Economic Value of a Nuclear Power Plant in Korea

임길환,정우진,김태환,이상용 한국원자력학회 2017 Nuclear Engineering and Technology Vol.49 No.3

We studied the value of a nuclear power plant by considering Koreans' willingness to pay(WTP) for neutralizing the various problems caused by building and operating a new plant. For this, we used a conjoint analysis and ordered logistic regression.We then compared theWTP estimates between various segment groups. The results revealed that each householdwas willing to pay an additional 99,677 Korean Won (KRW)/mo on average to resolve thenegative impacts from a nuclear plant. Therefore, the yearly cognitive and economic value ofa nuclear plant in Korea was about 19 trillion KRW. Through a segment analysis, we foundthat the more educated, younger, and poorer groups gave higher cognitive values than theless educated, older, and richer groups, respectively. Also, people who lived far from a plantgave higher values than people living near a plant, and people with more knowledge about orinterest in nuclear energy gave higher values than people with less knowledge or interest. People who felt that nuclear energy is necessary gave higher values to nuclear energy thanthose who did not. Our results can be used as bases to set targets for promoting nuclearenergy and pursuing a national project of building a nuclear power plant.

부산시 아파트 매매 가격에 미치는 영향요인에 관한 연구

오윤경(Oh, Yun Kyung),김상길(Kim, Sang Kil) 한국주거환경학회 2017 주거환경(한국주거환경학회논문집) Vol.15 No.3

This study analysis on the determinant factors influencing of apartments prices in Busan which shows more significant growth rate than the change in house prices across the country in recent years. Research method conducted in-depth analyses base on 2 indicators by dividing the types of high and low housing prices market. And, it explores some influential factors towards the change of housing prices using regression analysis. To sum up the result of analysis, the housing market is differentiated according to difference in housing price. Ten variables such as ‘apartment rental price’, ‘average price fluctuation rate’, ‘average rent price fluctuation rate’, ‘growth rate of detached house’, ‘rate of elderly people’, ‘rate of the national basic living security’, ‘rate of multi-family housing’, ‘rate of deteriorated housing’, ‘number of major facilities’, ‘manufacturer"s number’ were analyzed as determinants of apartment purchase price in higher apartment price market. Also seven variables such as ‘apartment rental price’, ‘growth rate of apartment’, ‘number of major facilities’, ‘number of attraction facilities’, ‘manufacturer"s number’, ‘number of service providers’, ‘existence of development positive factor’ were analyzed as significant variables that affect the price fluctuations of lower apartment price market in Busan.

Prediction of Speed in Urban Freeway Having More Freight Vehicles

Tae-Gon Kim,Yeon-Woo Jeong 한국항해항만학회 2012 한국항해항만학회지 Vol.36 No.7

Generally an urban freeway means a primary arterial which provides road users with a free-flow speed, except for ramp junctions during rush hours. However, most road users suffer from traffic congestion in the basic segments as well as in the ramp junctions of urban freeway during rush hours, because most road users prefer urban freeways to local roads in the urban areas. This study then intends to analyze lane traffic characteristics of urban freeway basic segments having more freight vehicles during rush hours, find the lane showing a high correlation with the segment speed between lane speeds, and finally suggest a segment-speed predictive model by the lane speed of urban freeway basic segments during rush hours.

펜션여행자의 추구편익에 따른 시장세분화 결정요인 탐색

오정학,한상일 대한관광경영학회 2009 觀光硏究 Vol.24 No.2

본 연구는 경주지역 펜션 여행자의 추구편익에 대한 시장세분화를 통해 세분집단에 영향을 미치는 결정요인을 탐색할 목적으로 수행되었다. 실증 분석 및 평가를 통해 본 연구에서 제시된 결과는 다음과 같다. 첫째, 추구편익 15개 변수에 대한 신뢰성분석 및 요인분석결과 펜션여행자의 추구편익 요인은 ‘경험’, ‘휴식’, ‘위락ㆍ접근성’의 3개 요인으로 나타났다. 총 23개의 펜션속성 중요도 변수에 대한 신뢰성분석과 요인분석을 통해 5개의 요인(객실, 프라이버시, 이용편의성, 건축물 형태, 접근성)이 추출되었으며, 총 25개의 만족도 변수 중에서 4개의 요인(프라이버시, 객실, 부가서비스, 자연체험성)이 추출되었다. 둘째, 계층적 군집분석 및 K평균 군집분석결과 펜션여행자집단은 ‘위락추구형(n=54)’, ‘휴식추구형(n=43)’, ‘다속성추구형(n=60)’, ‘경험추구형(n=68)’의 4개 세분집단으로 분류되었다. 셋째, 펜션여행자의 추구편익에 따른 시장세분화에 영향을 미치는 변수는 인구통계적 특성의 ‘결혼유무’와 중요도 속성의 ‘객실차원’, ‘프라이버시차원’, ‘건축물형태’, 만족도 속성의 ‘프라이버시차원’, ‘자연체험성차원’, 사후태도의 ‘재방문의사’로 나타났다. 결론에서는 이론적 시사점과 경영적 시사점이 논의되었다. This research was conducted for the purpose of exploring determinants of market segmentation based on the pension travelers' benefit sought in Gyeongju area. and suggesting marketing implementations. Results from analysis and evaluation are as follows. First, three factors(experience, rest, recreation-accessibility) were delineated among 15 benefit sought through reliability and factor analyses. By utilizing reliability and factor analyses there were derived 5 factors(room, privacy, use convenience, architectural design, accessibility) among total 23 importance variables and 4 factors(privacy, room, supplementary service, natural experiences) among total 25 satisfaction variables. Second, by utilizing hierarchical and K-means cluster analyses, total samples were divided into 4 groups named 'recreation seekers(n=54)', 'rest seekers(n=43)', 'multi-attribute seekers(n=60)', and 'experience seekers(n=68). Third, the determinant variables having influence on each segment cluster were derived such as demographic variable(marital status), importance attributes(room, privacy, architectural shape), satisfaction attributes(privacy, natural experience), retention attributes(revisit intention). Theoretical and managerial implications were discussed in the conclusion.

아파트 매매가격지수 변동률에 의한 전국 주택시장 유형화 및 유형별 가격변동 영향요인 분석

이윤홍(Yun-Hong Lee) 한국경제연구학회 2015 한국경제연구 Vol.33 No.4

본 연구는 아파트 매매가격 변동률 특성에 따라 전국의 주택시장을 유형화하고 PLS 회귀분석을 통해 유형별 매매가격 변동에 영향을 미치는 요인을 분석해 지역별로 어떠한 차이가 존재하는지 검토해 보았다. 분석결과를 종합해보면, 우선 의사결정나무 분석을 통해 주택가격지수의 변동률을 기준으로 전국의 주택시장은 수도권 지역과 비수도권 지역이 상호 변동률이 유사한 패턴을 갖는 것으로 분석되었다. 이에 수도권 지역과 비수도권 지역으로 주택시장을 유형화하였고 각 유형별로 PLS 회귀분석을 적용해 매매가격 변동률에 영향을 미치는 요인을 분석하였다. 수도권 모형의 분석결과, 노인인구 비율, 1인 가구 비율, 결혼 대비 이혼율, 사업체 수, 복지예산 비중, 지방세, 공원 면적, 초등학생 수, 주택노후도, 건축허가 면적, 지가 변동률 등 11개 지표가 수도권 주택시장의 매매가격 변동에 영향을 미치는 요인으로 나타났으며, 비수도권 모형의 분석결과는 노인인구 비율, 순인구유입 비율, 결혼 대비 이혼율, 서비스업 LQ, 재정자립도, 지방세, 문화기반시설 수, 공원면적, 주택노후도, 아파트 거래량, 지가 변동률, 토지거래 면적 등 12개 지표가 비수도권 주택시장의 매매가격 변동에 영향을 미치는 요인으로 나타났다. 1인 가구 비율, 사업체 수, 건축허가 면적, 복지예산 비율, 초등학생 수 등 5개 변수는 수도권 모형에서만 매매가격 변동에 유효한 영향을 미치는 것으로 나타났으며, 토지거래 면적, 순인구유입 비율, 재정자립도, 서비스업 LQ, 문화기반시설 수, 아파트 거래량 등 6개 변수는 비수도권 모형에서만 매매가격 변동에 유효한 영향을 미치는 것으로 분석되었다. This study segmented national housing market as the Volatility of the Apartment Price and analyzed some factors effect segmental housing price change through Partial Least Squares regression. After then it examined the regional differences. To sum up the result of analysis, there was a similar pattern in national housing market which is the volatility of interacted change between the Metropolitan and Non-Metropolitan area. It was based on the volatility of the housing price using decision making tree analysis. Hence, it segmented the housing market among the metropolitan and non metropolitan and investigated the influential factors about the volatility of the housing price by PLS analysis depend on each segmentation. According to the analytical result of the metropolitan model, there were 11 indexes occurred to effect in housing market such as population density of the elderly, single household rate, divorce rate contrast of marriage, number of business company, welfare budget ratio, local tax, park space, number of primary students, dilapidated housing rate, building permit area and fluctuation rate of land price. In the non metropolitan model case, total 12 indexes influence to the change of housing price in the market like the population rate of old people, net migration rate, service business LQ, financial independence rate, local tax, number of cultural facilities, park area, damaged old housing rate, amount of apartment trading, fluctuation rate of land price and size of land transition. The 5 variable like one person household rate, building permit area, welfare budge ratio, and number of elementary pupils appeared in the metropolitans besides, size of land transaction, net migration rate, financial independent rate, service business LQ, number of cultural facilities and amount of apartment trade were only effect on the fluctuation of housing price in Non-metropolitan.

Prediction of Speed in Urban Freeway Having More Freight Vehicles - Based in I-696 in Michigan -

Kim, Tae-Gon,Jeong, Yeon-Woo Korean Institute of Navigation and Port Research 2012 한국항해항만학회지 Vol.36 No.7

Generally an urban freeway means a primary arterial which provides road users with a free-flow speed, except for ramp junctions during rush hours. However, most road users suffer from traffic congestion in the basic segments as well as in the ramp junctions of urban freeway during rush hours, because most road users prefer urban freeways to local roads in the urban areas. This study then intends to analyze lane traffic characteristics of urban freeway basic segments having more freight vehicles during rush hours, find the lane showing a high correlation with the segment speed between lane speeds, and finally suggest a segment-speed predictive model by the lane speed of urban freeway basic segments during rush hours.

Prediction of Speed in Urban Freeway Having More Freight Vehicles - Based in I-696 in Michigan -

김태곤,정연우 한국항해항만학회 2012 한국항해항만학회지 Vol.36 No.7

Generally an urban freeway means a primary arterial which provides road users with a free-flow speed, except for ramp junctions during rush hours. However, most road users suffer from traffic congestion in the basic segments as well as in the ramp junctions of urban freeway during rush hours, because most road users prefer urban freeways to local roads in the urban areas. This study then intends to analyze lane traffic characteristics of urban freeway basic segments having more freight vehicles during rush hours, find the lane showing a high correlation with the segment speed between lane speeds, and finally suggest a segment-speed predictive model by the lane speed of urban freeway basic segments during rush hours.