• Title/Summary/Keyword: housing market segmentation

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A Study on Housing Submarkets and Residential Mobility: In the New Towns of Pundang and Ilsan in the Seoul Metropolitan Area (하위주택시장과 이주에 관한 연구 - 서울 근교 신도시(분당ㆍ일산)를 사례지역으로 -)

  • 류연택
    • Journal of the Korean Geographical Society
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    • v.32 no.2
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    • pp.245-263
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    • 1997
  • Housing market is segmented through 1) housing supply classified by housing characteristics and 2) housing demand classified by different housing opportunity of household. Moreover, neighborhood plays a role in intensifying housing market segmentation as a factor affecting on decision making relevant to housing supply and demand. while segmented housing markets have different mechanism, existing studies on residential differentiation and housing market have overlooked the characteristic differences among housing submarkets as the studies presume metropolitan housing market to be a single housing market. while the concept of 'residential differentiation' pays much attention on spatial pattern after the ecological approach appeared, the concept of ‘housing submarkets' is explanatory of the process of urban space structure formation. Analysis on housing submarkets makes up for the weak points of the behavioral approach inquiring into socio-economic constraint and different housing opportunity of household.

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A Study on the Market Segmentation of Accessible Housing for the Elderly Using Conjoint Analysis (컨조인트 분석을 이용한 노약자를 위한 접근가능한 주택의 시장 세분화 연구)

  • Lee, So-Young;Kim, Ji-Woo
    • Journal of the Korean housing association
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    • v.26 no.4
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    • pp.11-21
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    • 2015
  • Due to the mass production of housing in Korea, homogeneous current housing may fail to represent residents' preferences, especially for the elderly. The purpose of this study is to identify the preferred properties of consumers for accessible housing and to examine whether cluster analysis can identify groups of residents with similar accessible housing preferences. Using a conjoint method, prospective users can jointly consider all accessible attributes, with cost attributes suggested by this study. Four categories (accessibility, safety, convenience, cost), 7 attributes (clear width, level difference, installation of grab bars, installation of elevators: only for single house type, non slippery floor materials, safety alarms, service control devices, cost) and 2 levels for each attribute were chosen. A total of 374 questionnaires were collected through a questionnaire survey method. This study employed ratings-based Conjoint analysis and the respondents ranked each card, which consisted of a set of accessible housing attributes. The data were analyzed using SPSS 16.0. The findings of this study have identified 3-4 clusters for each housing sub market. Each cluster has a different combination of socio-demographic characteristics and residential characteristics, and showed the relative importance or preference values for each accessible attribute of the segmentation. For the single housing, one group of people strongly preferred installation of elevator. The results suggested that better customization of housing could be more appealing to the different clusters of residents, providing accessible housing with cost limitations.

The Comparative Analysis on the Change of People's Outdoor Space Preference according to Time Difference in Multi-Family Housing using a Conjoint Analysis (컨조인트 분석기법을 이용한 공동주택 옥외공간의 선호도 변화 비교 분석)

  • Hwang, Kyu-Sung;Lee, Chan-Ho
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.12 no.11
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    • pp.4907-4913
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    • 2011
  • The purpose of this study is to find how the preferred properties of potential users for the outdoor space of the multi-family housing complex had changed according to time differance and to select the target market through market segmentation. The study has identified that the most important property among four properties had been changed from a Communication to a Amenity according to time difference. This is shown that considering information and communication as an important properties had been changed to regarding leisure and culture facilities as valuable properties.

Analysis on Apartment Marketing Strategy by Market Segmentation - Focused on The Basis of Theory for Market Segmentation And Positioning (시장세분화를 통한 아파트 마케팅전략에 관한 연구 - 시장세분화와 상품포지셔닝전략의 이론적 토대를 중심으로 -)

  • Kim Yong-Deok;Kim Kyung-Rai;Shin Dong-Woo
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • autumn
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    • pp.549-554
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    • 2002
  • As the rate of housing supply is increased and consummer's diversified demand is changed. the direction of management of construction company is changed into marketing-based and the development of distinguished product. Therefore, this study purpose to establish the marketing strategy of apartment by the method of market segmentation. This study purpose to (1) analyze general methodology of apartment market-segmentation and positioning, (2) propose an alternative plan of apartment positioning for the effective marketing strategy. The method which was proposed in this study will be applied in strengthening the popularity of construction companies and the development of distinguished products.

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A Study on Demand and Market Segmentation in Nursing Homes (유료요양원의 수요와 시장세분화에 관한 연구)

  • 이지전;김한중;조우현;이선희
    • Health Policy and Management
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    • v.7 no.1
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    • pp.55-72
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    • 1997
  • The purpose of this study is to analyze the consumers' demand pattern and the feature of the market for nursing homes, the number of which is tending upwards. The survey data were obtained from the interview of 500 elderly people living in Seoul and Kyung-Ki provincial area. All respondents were 60 years of age and above. The main findings were summarized as follows: 1. The respondents who are less aged, highly educated comparatively, and living with spouse show positive response for the use of nursing homes. The aged living independently and the aged living with unmarried children show higher demand for this facility. Also, the respondents who prefer independent living away from their childrenn, urban areas as their residence and flat-type housing show more interest for the facility. The respondents who are self- supportive, who has no financial supporter, no caretaker, and no domestic helper demonstrate strong inclination to the use of the facility. The respondents who are interested in this kind of facility, acknowledge the necessity of it show strong intention of moving into it. 2. Logistic regression analysis was conducted to understand factors related to the intention of moving into the nursing homes. The group who wish to live separated from their children in the future give 1.78 times more favorable response than the opposite. The group who have an interest in the facility for elderly has 2.02 times higher intention of moving than the opposite. The group who have an intention of using the facility for elderly it is 7.34 times more likely to move into it. 3. The respondents who are the potential consumers for nursing homes can be subdivided. Within the positive group, it could be divided into the group of living independently with the preference of flat-type housing, the group living independently with the preference of separate housing, and the group wishing to live with their children. Within the negative group, the factor of the division is their concern to the facility. Following this study, it can be said that old age people, who have been regarded as one homogeneous group so far, should be recognized as one characteristic individual. This study also shows that the demand aspect yet in its initial stage shold be researched in anticipation of rapid increase. The understanding of diciding factors, the segmentation of potential market will help work out proper strategy, which will contribute to providers' benefit.

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Market Segmented Analysis of Electric Vehicle Purchasing Behavior in Seoul (서울시 전기차 구매행태에 대한 시장분할 분석)

  • HAHN, Jin-Seok;LEE, Jang-Ho
    • Journal of Korean Society of Transportation
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    • v.36 no.2
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    • pp.129-140
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    • 2018
  • In this study, we analyzed the electric vehicle (EV) purchasing behavior with market segmentation in Seoul using the binary logit model. For the model estimation, the experimental design of SP survey generated 24 scenarios with purchase price, charging station availability, and driving range of EVs. The results of market segmentation analysis indicated that the owners of subcompact and compact size cars were primarily affected by the purchasing price while those of mid and full size cars were more sensitive to the charging station availability. By housing type, the charging station availability was the most important factor for the residents of apartment while the purchase price was the most important factor to choose the EVs. These results presented that the EV supply strategy of the automobile manufacturer should be diversified according to the marketing target and the expansion of the public charging infrastructure should be the top priority in the government policy.

The Market Segmentation according to Lifestyle Types of Chinese Consumers: - Focused on Shanghai Residents - (중국소비자의 라이프스타일 유형에 따른 시장세분화 - 상해를 중심으로 -)

  • Lee, Ji-Hyun
    • Journal of Fashion Business
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    • v.14 no.5
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    • pp.176-194
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    • 2010
  • According to the economy recession of U.S.A and Europe, the value of China market has been increased. Therefore the in-depth studies were essential for the companies and brands which look for new rising market. This study typed Chinese consumers by lifestyle and analyze the demographics and clothing purchasing behavior. The result of the internet survey which was carried out targeting Shanghai residents, established several consumer types of men and women respectively. In case of male consumers, established 4 groups like indifferent to advertising/brand group, seriously considering brand/health group, seriously considering leisure group, and seriously considering education group. In case of female consumers, established 3 groups like seriously considering education/food group, seriously considering housing/leisure group, and seriously considering shopping group. These groups were showed significant differences to demographics and clothing purchasing behavior. These characteristics about the groups must be reflected to marketing and merchandising strategies.

Market segmentation based on purchase frequency of products in department store and low-price retailing and difference among segments (할인점과 백화점에서의 상품 구매빈도에 따른 시장세분화 및 세분시장의 상점태도 및 의류상품 구매 특성)

  • 홍희숙
    • Journal of the Korean Home Economics Association
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    • v.37 no.4
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    • pp.41-58
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    • 1999
  • The purposes of this study were 1) to segment the market based on purchase frequency of products such as apparel, food, home electronics, life commodity in department store and low-price retailing, 2) to identify differences among segments in belief and attitude toward each store, purchase frequency of apparel items in each store and demographic variables. The data were collected via a self-administered questionnaire from 274 married women living in Seoul, Korea and analyzed by factor analysis, cluster analysis, one-way ANOVA and x$^2$-test. The results of this study were as follows: First, using cluster analysis on purchase frequency of products in each store, four groups were identified and labeled as department store patronage/ non-purchasers of apparel in low-price retailing(25.2%), purchasers of apparel in department store and low-price retailing(16.8%), low-price retailing patronage(30.3%) and non-purchasers of products in department store and low-price retailing(27.0%). Second, a series of one-way ANOV As revealed significant differences among four segments on beliefs of low-price retailing(four store attributes: price and variety of apparel product, facilities for convenient shopping, promotion, brand-reputation and fashionability of apparel product) and department store(three store attributes: price and variety of apparel product, facilities for convenient shopping and promotion) and attitude toward low-price retailing and department store. Attitude toward each store was yielded using Fishbein's multiattributes model. There were also significant differences among groups in purchase frequency of seven apparel items in low-price retailing and six apparel items in department store, and six demographic and personal variables(age, educational status, type of husband's occupation, monthly income and housing). Finally, the papers discussed manageral implications for each segments as well as theoretical implications.

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A Study on Eating-out Behavior by Cluster Analysis according to The Lifestyle of Female Consumers in Seoul (서울시 여성 소비자의 라이프스타일에 따른 군집분석과 외식행동에 대한 연구)

  • Van, Ju-Won
    • Journal of the Korean Society of Food Culture
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    • v.23 no.3
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    • pp.377-387
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    • 2008
  • The objective of this study was to use cluster analysis to determine differences in eating-out behavior among grouped clusters of female consumers after each cluster was divided based on lifestyle patterns. The data were collected by interview survey from a biased sample of 1,300 females, ranging from ages 20 to 59, and living in residential districts of Seoul. Reliability analysis, factor analysis, cluster analysis, cross-tabulation analysis, and analysis of variance (ANOVA) were applied to the data. Four lifestyle factors were extracted by lower-division and classified as follows: health condition, consuming, food, and housing lifestyles. Based on these four factors, the female consumers were grouped as three clusters: the consuming-individuality type, rational-pursuit type, and conservative-stability type. The eating-out behavior of each cluster was significantly different in terms of frequency of eating-out, eating-out expenditures, restaurant selection criteria, food preferences, and the purpose for eating-out. Since this study surveyed females from ages 20 to 59, age and demographics were the differential factors in determining the various lifestyle types. Thus, to target the consumers who form a target market, the food industry should consider market segmentation that combines demographic factors such as age, income, and marital status.