Vinylacetate의 imidazole 유도체 및 amine 화합물에 의한 가수분해

최내영 釜山大學校 工科大學 1971 工科大學 硏究 報告 Vol.11 No.-

合成物質 成形物의 特性에 관한 因子分析 : 합성물질 성형물의 특성에 관한 인자분석

최내영 부산대학교 1972 論文集: 自然科學篇 Vol.14 No.-

乳化重合에 關한 硏究.Ⅰ : Diacetone acrylamide의 oligomerization

최내영 釜山大學校 工科大學 1973 工科大學 硏究 報告 Vol.12 No.-

도시인구분포모형 개발을 위한 GA모형과 회귀모형의 적합성 비교연구

최내영,Choei, Nae-Young 한국공간정보학회 2010 한국공간정보학회지 Vol.18 No.5

본 연구는 최근 다수 도시개발사업들이 활발히 진행되고 있는 화성시 동부권을 사례대상지로하여 행정구역 단위 인구데이터를 격자형 인구분포자료로 변환한 후 인구유인을 유발할 것으로 예상되는 주요 도시계획관련 공간변수들을 GIS로 측정 대입하여 제네틱 알고리즘기법과 회귀분석기법 두 가지 방법으로 일종의 도시인구분포모형을 구축하였다. 두 가지 모형의 분석결과를 통해 도시환경 해석에 있어서의 두 기법의 성능상 특장점을 비교해 보았으며, 분석결과 GA기법은 변수 설명력에 관한 변별력에 있어 일반회귀분석보다 우월한 특징이 있음을 알 수 있었고 따라서 회귀분석과 병행할 경우 매우 직관적이며 보완적인 도시분석기법이 될 수 있음을 확인할 수 있었다. Taking the East-Hwasung area as the case, this study first builds gridded population data based on the municipal population survey raw data, and then measures, by way of GIS tools, the major urban spatial variables that are thought to influence the composition of the regional population. For the purpose of comparison, the urban models based on the Genetic Algorithm technique and the regression technique are constructed using the same input variables. The findings indicate that the GA output performed better in differentiating the effective variables among the pilot model variables, and predicted as much consistent and meaningful coefficient estimates for the explanatory variables as the regression models. The study results indicate that GA technique could be a very useful and supplementary research tool in understanding the urban phenomena.

기반시설설치구역 지정을 위한 공간정보 적용방안 연구

최내영,Choei, Nae-Young 한국공간정보시스템학회 2009 한국공간정보시스템학회 논문지 Vol.11 No.3

2008년 9월 기반시설부담구역 지정과 관련한 조항이 국토계획법에 신설되면서 정부는 개정 시행령을 통해 개발행위허가 건수 증가율에 따른 기반시설부담구역 지정기준을 고시한 바 있다. 그러나 개발 행위허가는 개발계획을 가진 개별 토지주의 신청에 의해 산재한 개별필지 단위로 발급되기 때문에 개발행위 급증지역을 국지적으로 선별하기란 기술적으로 매우 어려운 문제이다. 이에 본 연구는 특정 사례 지자체의 3개 연도 개발행위허가대장 자료를 한국토지정보체계(KLIS)의 필지정보와 결합하여 속성자료를 구축하고 이를 다시 지형 레이어 및 기반시설 레이어와 연동한 후 지자체 전체 평균 개발행위허가 증가율에 대한 법정기준을 상회하는 구역을 찾아냄으로써 기반시설부담구역 지정을 위한 실무적 방법론을 제시하였다. In September, 2008, the government has amended the National Territory Planning Act" by adding criteria to designate the Impact Fee Zone on the basis of the increase rate of the development permit. Since the permits are issued to scattered parcels on the individual basis, however, it renders significant difficulties in accurately figuring out the finite local areas that exceed such legal criteria. This study, in this context, tries to join the development permit time-series data with the Korea Land Information System (KLIS) so that, with the aid of the landform layer and existing infrastructure layer, it could pinpoint the local area where the development activities are concentrating. Taking a sector in Yangpyong County as the case, the study practically demonstrates as to how the designation process is geospatially processed.

우수논문심사평 - 논문제목 : 정부의 환경정책변화에 따른 공공택지개발사업의 토지이용구성 변화의 연구(44권 5호)

최내영 대한국토·도시계획학회 2010 國土計劃 Vol.45 No.1

都市地價의 橫斷的 分布와 時系列的 推移에 따른 서울시 都市空間構造特性에 關한 硏究 : The Case of Seoul

崔乃永,李明浩 홍익대학교환경개발연구원 2000 환경개발연구논문집 Vol.5 No.-

The purpose of this study is to investigate the major influential factors that determine the urban structure in terms of the time-series fluctuations of land values in a metropolitan city. For the purpose, the study takes Seoul city as a case using the hedonic price function. The hedonic price function represents or extracts an implicit value of a certain property based on its interior value-characteristics. The major findings of the study are as follows: In terms of accessibility, the prices of commercial- and residential lands are both dependent on the physical distances to Kangnam (a sub-center). That is, the closer the location is to Kangnam, the higher the value is, though the value gaps are much larger among the commercial lands than among the residential lands. In terms of characteristic, however, the regression coefficients for the number of college students show mixed results, i.e., it negatively affects the land values in certain cases. At the same time, a higher housing density makes a negative effect to the land values whereas more amenities and convenient traffic conditions raise the values higher than otherwise. The amenity factors generally show negative effects as expected. The distance to the Han-River has been very influential to the prices of land since the Han-River Development Plan started in the early 1980's. Also, the sulfur dioxide concentration as an indicator of air pollution affects most to the land values, and it is the most important factor among all amenity variables to determine the land values. To the contrary, one of the significant factors that lower the land prices is the expanded open parks. Accessibility to the remaining big greenbelts like Namsan or Bukhansan Mountains within the Seouls boundary also has negative effects generally. As such, one might raise questions as to what the effectiveness of greenbelts within the city boundary would be as far as the land values are concerned. Additionally, a dummy variable that splits all locations into either Kangnam area (River South) of Kangbuk area (River North) has been introduced to explicitly capture the land value premiums in Kangnam areas.

도시인구분포모형 개발을 위한 GA모형과 회귀모형의 적합성 비교연구

최내영 대한공간정보학회 2010 Spatial Information Research Vol.18 No.5

Taking the East-Hwasung area as the case, this study first builds gridded population data based on the municipal population survey raw data, and then measures, by way of GIS tools, the major urban spatial variables that are thought to influence the composition of the regional population. For the purpose of comparison, the urban models based on the Genetic Algorithm technique and the regression technique are constructed using the same input variables. The findings indicate that the GA output performed better in differentiating the effective variables among the pilot model variables, and predicted as much consistent and meaningful coefficient estimates for the explanatory variables as the regression models. The study results indicate that GA technique could be a very useful and supplementary research tool in understanding the urban phenomena. 본 연구는 최근 다수 도시개발사업들이 활발히 진행되고 있는 화성시 동부권을 사례대상지로 하여 행정구역 단위 인구데이터를 격자형 인구분포자료로 변환한 후 인구유인을 유발할 것으로 예상되는 주요 도시계획관련 공간변수들을 GIS로 측정 대입하여 제네틱 알고리즘기법과 회귀분석기법 두 가지 방법으로 일종의 도시인구분포모형을 구축하였다. 두 가지 모형의 분석결과를 통해 도시환경 해석에 있어서의 두 기법의 성능상 특장점을 비교해 보았으며, 분석결과 GA기법은 변수 설명력에 관한 변별력에 있어 일반회귀분석보다 우월한 특징이 있음을 알 수 있었고 따라서 회귀분석과 병행할 경우 매우 직관적이며 보완적인 도시분석기법이 될 수 있음을 확인할 수 있었다.

기반시설 설치비용 분담이 공동주택 가격 및 밀도에 미치는 영향에 관한 연구

李禎珉,崔乃永 弘益大學校 科學技術硏究所 1999 科學技術硏究論文集 Vol.10 No.1

This paper intends to suggest the proper cost-sharing schemes in providing the infrastructure for the New Towns through the financial feasibility and the sensitivity analysis of the cases of Seoul Metropolitan newtown projects. The paper is consisted of three parts. Chapter Two identifies the peculiar attributes of the Public Goods, and explores the current practices and related laws that specify the entities that are to assume infrastructure costs in the development process. Chapter Three delves into the actual financial statements of the five newly built New Towns in the Seoul Metropolitan area, and singles out the problems of those programs. Chapter Four analyzes the impacts of the infrastructure costs on the housing prices and residential density in the New Towns by way of financial feasibility and sensitivity analyses. The results of the analyses are as follows: First, if the central and local governments would share, say, ten percent of the infrastructure costs, the housing prices could be lowered by more than ten percent than otherwise, and the housing density could even be lowered by fifty to sixty percent. This implies that sharing the infrastructure costs is far more effective in lowering the housing density than housing prices in the New Towns. Second, even if the newtown developer offers the school sites freely, it barely affects the housing prices and density in the New Towns so that it could be a very desirable strategy from the perspectives of both the developer and the residents.

首都圈 賃貸住宅 居住家口의 住宅需要 決定要因에 關한 實證分析 硏究

崔乃永,吳垠姃 홍익대학교환경개발연구원 2001 환경개발연구논문집 Vol.6 No.-

The typical housing problems in Korea are the lack of housing stocks, the high housing prices, and the poor housing environment. Recently, the government have dealt with such housing problems by price stabilization and mass housing supply policies. There still remains, nevertheless, lots to achieve the eventual housing policy goals like stabilization of the overall housing market. Moreover, the conditions of the housing market do not respond to the housing policy immediately, The rental housing market, for instance, could be temporarily out of balance in case the rent rises steadily even after the housing prices are reasonably settled. In this context, the research questions of this study are as follows. First, what are the significant characteristics of the rental housing? Second, what are the critical hedonic factors that affect the demand for rental housing? And, finally, what are the prerequisite conditions of the demand for rental housing? In order to properly address the above research questions, the study uses the hedonic regression approach and the two-stage procedure to empirically specify the demand for rental housing. Also, the income elasticities of the demand for rental housing and the price elasticities of the rental prices are estimated to understand the changes in housing demands when both the income and the rent fluctuate. The study is composed of five chapters as follows: Chapter II reviews the theoretical basis for the housing demand function from the perspective of the hedonic regression and the two-stage procedure. Chapter III investigates the sample households who actually occupy the rental housing to know the relationships between the characteristics and the demand for the rental housing. Chapter IV analyzes the demand for rental housing based on the 1998 Housing Survey performed by the KRIHS (Korea Research Institute for the Human Settlement). The demand function for rental housing is specified in a form of multiple regression function, i.e., a multiple regression function for the rental housing demand is constructed by the independent variables available from the study raw data. Here, the coefficients for each independent variables in the regression equation are assumed to statistically represent the proper demand characteristics for rental housing. Especially, the permanent income is applied to specify the logistic regression function. Chapter V summarizes the findings and the limitations of the study, and also suggests the future research extensions. Followings are the major findings of the study: The renter households appear to distribute in a variety of socio-economic strata in almost every respects. It is considered, therefore, that the diverse housing policies to cope with the rental housing problems are required so that the public sector could adequately satisfy the entire spectra of the renter households. Also, it is seen that the demand function for the rental housing reveals the high levels of correlations especially between the magnitude of the demand and the amount of the household incomes. On the other hand, the ages and the family sizes show moderately positive effects on the demand for rental housing whereas the higher level of rent makes negative effects. It is also found that the tenure choices of the renter household are quite influential to the magnitude of the demand for rental housing.