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이창효(Yi, Changhyo),김기중(Kim, Ki-Jung) SH도시연구원 2015 주택도시연구 Vol.5 No.1
The purpose of this research is to identify land-use factors as well as socioeconomic and transportation variables affecting traffic accidents in Seoul. For this, the empirical analyses were conducted using a negative binomial regression model based on the number of traffic accidents and casualties by administrative district and a multiple linear regression model based on a natural log transformed the number of traffic accidents and casualties. The statistical analyses results showed the similar coefficients for all explanatory variables. The main results were as follows. First, the land-use variables were relatively more important in the analyzing result on the number of traffic accidents, and the transportation factors were comparatively more substantial in the analysis result on the number of casualties. Second, the significant variables were the traffic volume, the number of transportation vulnerabilities, the building coverage density, the zoning system, and the road network design elements (road density, narrow road ratio, and arrangements of intersection and crosswalk). This study suggests improvement of traffic safety for aged person, development of optimum density in ground level, land-use planning linked with transportation plan, and emergence from automobile oriented planning for a reduction of traffic accidents.
이창효(Yi, Changhyo) SH도시연구원 2016 주택도시연구 Vol.6 No.2
The purpose of this paper is to empirically identify the difference in residential satisfaction and its affecting factors by household rental type in the Seoul Metropolitan Region. For this, rental housing types were defined as long-term public rental housing, short-term public rental housing, and private rental housing. The analysing data was constructed using the 2011 Korea Housing Survey, and the methodologies used were Kruskal-Wallis test and ordinal logistic regression. The main results of this study are as follows. First, the levels of residential satisfaction differed statistically among the rental housing types. Those in public rental households had higher satisfaction values than those in private rental housing dwellers. The reason for this is that residential satisfaction is a subjective response of residents. Second, in almost every domain—household attributes, housing properties, and economic conditions—the significance and influence of explanatory variables on housing and residential environment satisfaction varied according to the rental housing type. These results imply that public rental housing policy needs to concentrate on the supply of affordable housing and improvement of housing performance and residential quality in Korea. This paper is significant for constructing national rental housing policies considering the residential satisfaction characteristics of rental housing types.
도시특성지표 기반 공간개발 패턴 추정에 관한 연구 - 강남지역을 대상으로 -
장성만,이창효,Jang, Seongman,Yi, Changhyo 한국공간정보학회 2015 한국공간정보학회지 Vol.23 No.3
현재 계획단계에서 구득하여 활용할 수 있는 토지이용 관련 정보는 시도, 시군구, 그리고 읍면동과 같은 집계된 단위의 자료가 주를 이루고 있어, 미시적 공간단위에서의 변화 양상을 파악하기에는 근본적인 한계가 존재한다. 본 연구의 목적은 존 내 물리적 도시특성지표를 바탕으로 공간 개발패턴을 추정하는 방법론을 개발하는데 있다. 본 연구에서는 강남지역을 육각형 픽셀로 분할하고 각 공간분석단위별로 판매 및 업무의 건축물 개발강도를 단계별로 구분하여 도시의 공간적 특성이 판매 및 업무에 어떠한 영향을 미치는가를 다항 로지스틱 회귀분석을 통해 수행하였다. 분석결과 도로와 버스정류장과의 거리가 증가하면 밀도 개발 확률이 감소하며, 수계와의 거리가 증가하면 밀도 개발 확률이 높아짐을 확인하였다. 본 연구의 방법론과 결과물은 도시계획분야에서 집계된 자료를 미시적 공간으로 세분하는 방법론으로 활용될 것으로 판단된다. Most data used for urban planning is aggregated by administrative district. Thus, a fundamental limit to analysing the changes of micro-geographical units exists. The object of this study is to estimate spatial development patterns based on characteristic city indicators. Gangnam, an area that was analysed, was divided into hexagon polygons. The development density and characteristic city indicators were input into each polygon. Moreover, this study analysed the influence of characteristic city indicators on development density using multinomial regression analysis. According to the results, distance between a polygon and both a road and a bus stop led to a decrease of development density in the polygon. However, distance between a polygon and a river led to an increase of development intensity. The method of this analysis and the results can be used to disaggregate the zonal data in the urban planing area.