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RISS 인기검색어
- 검색키워드
- 저자 : 신상영(Shin Sang Young) (검색결과 88 건)
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신상영,이양재,Shin. Sang-Young,Lee. Yang-Jae 한국방재학회 2008 한국방재학회 학술발표대회논문집 Vol.2008 No.1
In urban area, flood risk is getting higher because of inland flood risk has grown up by changing rainfall intensity, rainfall pattern, changing land use and so on. Urban area is needed higher flood protection level to protect accumulated people, buildings and other infrastructures. However, even though former flood protection has focused on overflow from river, there is not a guide line for evaluating proper flood protection level. Thus, it is necessary to protect flood from inland flooding as well as overflow from river and need a proper method to evaluating flood protection level. This study present a method of determining flood protection elevation by using GIS tools for deciding proper flood protection level. The study result may contribute to urban flood protection measures in which inland flood risk increases.
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신상영 ( Sang Young Shin ),박지영 ( Ji Young Park ) 서울시정개발연구원 2010 연구보고서 Vol.2010 No.35
Recently, the government introduced new housing types as one-or-two person households increase, Quasi-housing establishments (QHEs) are among the newly introduced housing types including Go-si-won, Officetel, and Welfare houses for seniors, QHEs are not classified as housing in the regal system but used as residence in fact. QHEs are policy issues because they are a type of small and affordable houses but current housing policy frameworks do not sufficiently and adequately address them. Particularly, Go-si-won, which refers to residential facility where spaces are divided into small bed-sitting units and common areas are shared by more than one person, is a big policy issue in Seoul because they affect negatively to the surrounding residential areas. The purpose of this study is to examine the current state of QHEs in Seoul and to propose policy directions for small and affordable housing for one-or-two person and low income households. First, the study examines the current institutional frameworks over QHEs, various non-housing residential types, and small and affordable housing types. Second, the study analyzes stocks and detailed characteristics of QHEs in Seoul. Third, the study analyzes supply of small houses and demand for one-or-two person households in Seoul. Finally, based on the prior analysis, the study suggests housing policy directions for low-income small households.
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신상영 ( Sang Young Shin ),박지영 ( Ji Young Park ) 서울시정개발연구원 2009 연구보고서 Vol.2009 No.63
This study investigates current problems of housing statistics and data infrastructure and new policy directions to improve those for metropolitan Seoul. While housing statistics and data are widely provided by public and private organizations, there are numerous problems and limitations in supporting urban housing issues and policies. Further, the current housing classification system, which is the basic framework for housing statistics, does not sufficiently reflect the real world complexity of housing market. First, the study explores a new comprehensive housing classification system, which emphasizes ``use`` rather than ``ownership``, ``non-housing residence`` as well as ``housing``, and ``housing and non-housing mixed use`` as well as ``only for residential use``. Also, the study proposes a concept of ``standard residential ratio`` to flexibly cope with various non-housing residence problems. Second, the study proposes various improvements for housing statistics and data infrastructure to better support housing policies for Seoul, including improvements of existing database schema, new database development, data sharing among relevant public and private organizations, periodic survey and monitoring, and web-based information services to citizen. Last, the study explores various housing indicators and suggests ``key`` indicators and ``subsidiary`` indicators. Also, the study proposes methodological improvements for some important housing indicators including housing supply ration, minimum housing standard, price-to-income ration, and rent-to-income ratio.
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