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A Study on the Design Direction of Public Rental House through 'Small-Scale Housing Improvement Project' - Focusing on the Works were Selected for the Final of the LH Housing Design Award -

소규모주택 정비사업을 통한 공공임대주택의 디자인 개선방향 연구 - LH 하우징디자인 어워드 임대주택 결선 진출 작품을 중심으로 -

  • 김선란 (부산대 건축학과) ;
  • 유재우 (부산대 건설융합학부 건축학 전공)
  • Received : 2022.06.29
  • Accepted : 2022.08.19
  • Published : 2022.10.30

Abstract

This study aims to provide new design directions for public rental housing by analyzing 'Small-Scale Housing Improvement Project(SSHIP). To this end, we investigate the changes in population, household, society, policy, institution, as the main factors that can affect the rental housing design. Then we analyze the applications of public housing design and suggest the new rental housing design directions through SSHIP. The term 'Small-Scale Housing Improvement Project' means projects implemented in region or city blocks to facilitate improving the houses which worn-out and substandard structures. Housing demand is notably different by individual users, and small scale developments are growing. Information technology and green technology are also advancing. As a consequence, It needed to support for facilitating SSHIP such as improving residential environment, the supply of public rental housing, need-based housing, compact urban space & economic improvement. Current designs of public housing reflect recent housing plan in a few towels for housing and making multi stories podium. This shows that the existing designs are not differentiated by region and we need to develop various approaches according to location characteristics and the corresponding new housing types. Therefore, this study proposes the following seven directions: responsiveness to demand changes, reflection of location characteristics, a variety of form, connectivity to a local community, acquisition of housing function, realization of green environment, and sustainability for residence, the enhancement of economic power in the neighborhood.

Keywords

Acknowledgement

이 연구는 2022년도 한국연구재단 연구비 지원에 의한 결과의 일부임. 과제번호: 2016R1D1A3B01013867 또한 2022학년도 부산대학교 BK21 FOUR 대학원혁신지원사업과 공동지원으로 진행하였음

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