• Title/Summary/Keyword: preference of intelligent housing

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The Impact of Housing Values on the Preference for Intelligent Housing (주거가치관에 따른 인텔리전트 주택 선호도)

  • 강순주
    • Journal of Families and Better Life
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    • v.22 no.5
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    • pp.101-111
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    • 2004
  • This study was conducted to examine how the types of housing values influence the preference for computerized housing (so called 'Intelligent Housing'). A questionnaire survey was conducted on 347 residents in Seoul metropolitan area. The following findings were obtained: 1) The housing values were classified into 6 types: ostentation, information & technology, tradition preservation, personality, practicality, and privacy pursuit. 2) There were significant differences in housing values by the generation and the level of familiarity with information technology. 3) In general, computerized housing was highly preferred, and the housing value types that affected the preference were 'ostentation' and 'information & technology.' 4) There is a need to develop diverse models of computerized housing systems to respond to consumer demands.

Analysing the Relationship between the Preference on Shared Transport Service and the features of Rental Apartments (임대아파트 특성과 공유교통서비스 선호간의 관계 분석)

  • Shin, Doh Kyoum;Byun, Wanhee;Do, MyungSik;Kee, Hoyoung
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.18 no.3
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    • pp.14-33
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    • 2019
  • MaaS, which provides all-in-one service for comfort mobility for customers, has been popularly researched and developed mainly in Europe. Even in Korea, the research on MaaS is also carried out which is fit to the mobility environment and needs of Korea. Korea Land & Housing Corporation(LH) also carries out research on MaaS called 'Integrated Mobility' for the residents living in LH public apartments. This study categorised the around 800 public apartments into 12 groups based on 3 key characteristics, then analysed the preference on shared-transport services by the residents of representing apartments for the each group using C&RT method. The results show that the preference on shared-transport services such as car-sharing and ride-sharing (carpool) were higher in the apartments which are located in medium or small cities or lived by the more handicapped resident groups in mobility such as the elderly. The study suggests the method to analysis the relationship between residents' preference on shared transport services and bounded ertain areas such as apartments or districts and then to introduce shared transport service fit to target areas.