메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술저널
저자정보
김현철 (University of Seoul) 장성만 (University of Seoul)
저널정보
대한국토·도시계획학회 국토계획 國土計劃 第52卷 第5號(通卷 第230號)
발행연도
2017.10
수록면
89 - 112 (24page)
DOI
10.17208/jkpa.2017.10.52.5.89

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
The government has been continuing to implement rental housing policies in order to realize the welfare of ordinary people and low-income families. However, many problems arise because these rental houses do not reflect characteristics of consumers. Therefore, the new government tried to reflect the characteristics of the consumer by announcing the policy of happy-rental housing which is provided for the younger class of society in the areas close to work or school and public transportation. However, a problematic issue of that housing has recently been raised a problem for university students, because a zero-parking lot standard is specified, which makes the students who live in that houses use public transportation only. The purpose of this study is to analyze whether the location of happy-rental housing is adequate for university students to go to school by reflecting accessibility to university and public transportation. For this, we proposed the index reflecting both the ratio of cumulative student’s trip for each time-breaks and the proportion of students attending each available university from the housing location, and analyzed the location of happy-rental housing through it. As a result, through the proposed analytical methodology, it was found that the location of housing is influenced by accessibility to both universities and public transportation, especially subway lines. The results of this analysis suggest that it is necessary to constantly improve the policy of happy houses, meeting the purpose of this policy.

목차

Abstract
Ⅰ. 서론
Ⅱ. 선행연구 검토
Ⅲ. 분석의 개요
Ⅳ. 분석결과
Ⅴ. 결론 및 연구의 한계
인용문헌 References

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

이 논문과 함께 이용한 논문

최근 본 자료

전체보기

댓글(0)

0