장기공공임대주택의 리모델링을 통한 주거복지 정책사업의 가치평가에 관한 연구

조용경,이상엽,Cho, Yongkyung,Lee, Sangyoub 한국건설관리학회 2014 한국건설관리학회 논문집 Vol.15 No.5

주거복지 정책 실현을 위해 공급되고 있는 장기공공임대주택은 영구임대주택을 시작으로 급속히 노후화 되고 있다. 이에 노후화 개선을 위해 다양한 주거복지 사업이 추진 및 계획되고 있다. 그러나 모든 주거복지 정책이 다 필요한 것이라고 하더라도 재원은 한정적이기 때문에 재원의 효과적 배분과 투입이 요구된다. 더불어 많은 국가재정 투입이 예상되는 만큼 주거복지를 위한 공공사업에 앞서 사업의 타당성에 관한 검토가 요구된다. 한편, 기존의 타당성 연구는 SOC 사업을 주요 대상으로 한 지침개발이 대부분이기 때문에 본 연구의 대상과 같은 공공 리모델링 사업에 단순한 기존연구 결과의 적용에는 한계가 있다. 더불어 공공사업 타당성 평가를 위해서 경제적 가치와 정책가치 평가가 동시에 이루어져야 하지만 현실적으로 공공사업은 정책결정자의 사업실현 의지와 정책목표의 효과적 달성 등으로 상당부분 사업추진 여부가 결정된다. 이러한 측면에서 본 연구에서는 노후 장기공공임대주택 리모델링과 유지관리 두 대안을 대상으로 정책가치 평가 방법을 제시하고 자였다. 정책가치 평가를 위한 접근방법으로 예비타당성 분석의 정책적 분석 항목의 범주화를 고려하였다. 이를 통해 주거복지를 위한 노후 장기공공임대주택 리모델링 사업의 특성을 고려한 정책가치 평가항목을 도출하고 실증분석 방법으로 유지관리와 리모델링의 정책가치를 MAUT를 이용하여 산출하였다. 실증분석 결과 장기공공임대주택 리모델링 및 유지관리 정책가치 실증분석결과 유지관리의 효용값은 0.2461, 리모델링의 효용값은 0.6161로 리모델링의 정책가치가 큰 것으로 평가되었다. 세부 속성은 유지관리 및 리모델링의 순위가 유사한 것으로 나타났으며 경기부양 효과 극대화, 사업계획과 정책방향의 일치성, 사업의 준비정도 최적화 속성의 순위가 높은 것으로 나타났다. 실증분석 결과를 통해 향후 주거복지 실현을 위해 사업을 추진 시에는 정량적 자료를 근거로 하여 유지관리보다 리모델링의 정책을 실현하는 것이 타당하다는 의사결정을 내릴 수 있다. Long Term rental housing, which is supplied for performing housing welfare, has been aging from permanent rental housing. Therefore, variety housing welfare projects are planing and performing for improving aged facilities. However, although every welfare policy are necessary, we have to efficiently allocate and commit the funds, because the fund and resources is limited. And there is required the feasibility study before performing public project for housing welfare, because it needs large amount of financial supports by government. Meanwhile, because most of existed studies are focused on guide development, it has limitation to apply the result of existed studies in this study, which considers public remodeling project for housing welfare. But in reality, public project is been decided by willing of policy decision-maker. Therefore, in this study, we suggest the evaluation method of policy value for two alternatives(remodeling and maintain) of a aged long term rental housing. To extract the attributes of policy value, we considered categorized items of preliminary feasibility study. Through extracting attribute factors of policy value for aged long term rental housing, we can calculate the policy value of remodeling and maintain alternatives by using MAUT. As a result of analysis, we can find that the utility value of remodeling is 0.6161 and the utility value of maintain is 0.2461 and also the utility of remodeling is higher than utility of maintain. Therefore, when we plan the public projects for performing housing welfare, we can choose remodeling alternative rather than maintain alternative using quantitive data.

AI 스마트 하우징 서비스 및 플랫폼 표적시장 선정을 통한 사업화 전략 수립

조용경(Cho, Yongkyung),임지은(Im, Jieun),윤영호(Yoon, Youngho) 한국주거환경학회 2021 주거환경(한국주거환경학회논문집) Vol.19 No.4

AI 스마트 하우징은 국가적으로 연구·개발을 통한 시장 활성 및 시장 선도가 요구된다. 시장 활성화 및 선도를 위해서는 개발 단계에서부터 사업화 전략이 필요하며, 사업화 전략 수립을 위해서는 먼저 표적수요의 선정이 요구된다. 표적 수요를 선정하는 방법에는 STP 프로세스가 있다. 이를 위해 일반적인 시장세분 요소를 기반으로 AI 스마트 수요자 시장 세분요소를 성별, 연령, 가구규모, 거주지역, 소득, IT 친숙도 등으로 도출하였다. 시장세분요소별로 시장을 세분한 결과 남성보다는 여성이, 가구규모가 작을 수록, 지역적으로도 서울, 세종시 보다는 제주, 전라도, 강원도, 충북, 광주, 경기도 등이, IT 친숙도가 높은 층에서 더 필요하다고 인식하는 것으로 나타났다. 이원화된 세분요소로는 소득이 낮거나 높은 층에서 필요도 인식이 높았고, 연령이 낮은 20-30대 층과 50대 이상 장년층 이상의 필요도가 높은 것으로 나타났다. 이러한 결과를 종합할 때 표적시장은 20-30대와 고령층으로 이원화하고, 소득 측면에서도 저가형과 고가형으로 이원화할 필요성을 도출하였다. 더불어 IT 친숙도 측면에서도 IT 친숙도 ‘중’인 세분시장 중 판단을 유보한 층이 AI 스마트 하우징 서비스 및 플랫폼 활성화 및 저변확대를 위해 전략적으로 접근해야하는 세분시장임을 도출하였다. 지역적으로는 시점적용을 위해서는 서울, 세종시 보다는 제주도나 강원도 등 타 지역이 더 유리하다는 전략의 도출이 가능했다. 마지막으로 AI 스마트 하우징 서비스 및 플랫폼의 총 수요는 전국 아파트 거주 가구 10,780,401가구이며, 잠재수요는 7,729,548가구라는 표적수요의 량도 도출했다. AI smart housing requires market activation and market leadership through national research and development. In order to revitalize and lead the market, a commercialization strategy is required from the development stage. A method for selecting target demand is the STP process. To this end, based on general market segmentation factors, AI smart consumer market segmentation factors were derived such as gender, age, household size, residential area, income, and IT familiarity. As a result of segmenting the market by market segmentation factor, as a result of segmentation of the market by market segment, more women than men, and smaller households, geographically more Jeju, Jeolla-do, Gangwon-do, Chungbuk, Gwangju, and Gyeonggi-do than Seoul and Sejong-si, and Gwangju, Gyeonggi-do were more popular among those with high IT familiarity. appeared to be necessary. As for the dual subdivision factors, it was found that people with low or high income had a higher awareness of need, and those in their 20s and 30s with low age and those in their 50s or older had higher needs. Combining these results, it was deduced that the target market should be divided into those in their 20s and 30s and the elderly, and in terms of income, it should be divided into low-priced and high-priced models. In addition, in terms of IT familiarity, it was deduced that among the sub-markets with ‘medium’ IT familiarity, those who had withholding judgment should approach strategically to activate AI smart housing services and platforms and expand the base. Regionally, it was possible to derive a strategy that other regions such as Jeju-do or Gangwon-do were more advantageous than Seoul and Sejong-si for the point-in-time application. Finally, the total demand for AI smart housing service and platform is 10,780,401 households living in apartments nationwide, and the potential demand is 7,729,548 households.

지속 가능한 AI 스마트 하우징 주거 서비스 비즈니스 모델 구축을 위한 핵심 고객 가치

조용경(Cho, Yong kyung),윤영호(Yoon, Young Ho) 한국주거환경학회 2020 주거환경(한국주거환경학회논문집) Vol.18 No.4

With the 4th Industrial Revolution, each industrial pre-sale price is becoming more intelligent and converged. As part of these changes, research and market activation related to AI Smart Housing housing service are required. Therefore, this study attempted to derive core values (or core customer values) to be provided to customers (or residents) in order to establish an AI Smart Housing business model with competitiveness that can be sustainable even in the post-corona era and changes in the times and environments. In addition, the importance of core values was derived using AHP (Analytical Hierarchy Process). As a result of the analysis, the importance of the first class was found to be living value (0.2945)> physical value (0.2934)> economic value (0.2878)> other values (0.1243). The top five in the hierarchy of importance were in the order of building technology development (0.0999)> public support such as subsidies (0.0948)> discovery of safety and crime prevention support services (0.0819)> distribution of cost burdens (0.0800)> remodeling and improvement technology development (0.0788). These results are expected to be able to predict and respond to changes in the residential service business ecosystem using the 4th industrial revolution technology that has secured sustainability from the introduction of the AI Smart Housing service market to the growth and maturity in the future.

AI 스마트 하우징 플랫폼 주거 서비스 시장 활성화

조용경(Cho, Yongkyung) 대한건축학회 2022 建築 Vol.66 No.8

고령자를 고려한 AAL기반의 스마트 공동주택 수요특성 연구

조용경(Cho, Yong-Kyung),윤영호(Yoon, Young-Ho) SH도시연구원 2014 주택도시연구 Vol.4 No.2

For In Korea, there are increasing both aged people and one-person household. Since aged people can't realize Active aging, it is effecting to increasing of a personal difficulty and society cost. Therefore government is planning the development for AAL based smart housing by considering aged people in order to ensure Active Aging. But, before start developing, it is necessary to establish the policy or technical development direction. And to establish their direction, we need to figure out the demand characteristics of demanders(aged people). Therefore, the purpose of this study is to draw the demand characteristics of AAL based smart housing. For this purpose, we can separate the demand characteristics to two demand factors. One is to draw characteristic of consumer's features and needs which effect on their purchasing ability. And another is to draw their acceptable price level and interval. To practical analysis, we use the descriptive statistic analysis method and PSM(Price Sensitive Method). As a result of analysis, we find that most of them want the healthcare service to be the Active Aging. And they want the monitoring system to prevent an unexpected accident in their house. Their acceptable price and its interval are life management(65,500won)> public space(61,000won)> personal space(56,250won). Their price sensitive about AAL based smart housing service is personal space(25,000won)>life management(15,500won)> public space(13,000won).

행정중심복합도시 주택유형 다양화를 위한 택지공급 유형 개선에 관한 연구

조용경(YongKyung Cho),김재환(JaeHwan Kim) 인문사회과학기술융합학회 2018 예술인문사회융합멀티미디어논문지 Vol.8 No.4

행복도시의 저밀주거용지(이하 단독주택용지)는 계획 대비 공급률이 낮음에도 분양률과, 분양후 건축물 인허가율이 낮아 수요자에 맞춘 택지공급 방법의 제시가 요구된다. 이에 STP 전략 이론을 통해 행복도시에 적용 가능한 주택유형을 도출하고 적용성을 검증하기 위해 빅데이터분석 및 경제적 타당성 분석을 실시하였다. 그 결과 행복도시 주택 수요 특성은 1~2인과 3~4인 가구를 중심으로 라이프 스타일이 변화하여 중산층, 도시형, 3~4인용 소형 단독주택 선호하는 것으로 나타났다. 이에 주택유형 요소 세분 및 행복도시에 맞는 요소 표적 추출 결과 협소주택, 땅콩주택, 도시농부형 주택(다세대 또는 다가구 듀플렉스 하우스), 쉐어하우스 제안이 가능할 것으로 볼 수 있다. 빅데이터 분석 결과 협소주택, 땅콩주택, 도시농부형 주택, 쉐어하우스를 제안할 경우 수요자는 긍정적인 인식을 갖고 있었다. 경제적 타당성 분석 결과 필지를 소형화하고 건축규제완화 및 종상향을 할 경우 실거주수요자 및 투자수요자에게 모두 경제적 타당성도 확보할 수 있는 것으로 나타났다. The supplying of lands for detached house in Administrative City is lower than the plan. Also their sales ratio and construction ratio is low level. Therefore it is necessary to improve the unit plan for land supplying in order to suite their demand. In this study, we draw and suggest the variety types of housing which can supply in Administrative City by using STP strategy, big data analysis and economical feasibility analysis. As a result of STP and big data analysis, we can find that the narrow house, peanut housing, urban farmer s house and share house can be suggested. As a result, the characteristics of Administrative City housing demand showed that middle - class, urban type, and small single - family housing for 3 ~ 4 persons were preferred due to the change of lifestyle centered on 1-2 persons and 3-4 persons. Therefore it is possible to propose the narrow house, peanut house, urban farmer type house (multi-family or multi-house duplex house) and share house through segmentation and targeting of housing type to fit the housing demand. As a result of the big data analysis, the consumer has a positive perception when proposing the narrow house, the peanut house, the urban farmer type house and the share house. And as a result of feasibility analysis, in order to supply the suggested houses, it is necessary to upgrade the development class, split the land size to small and ease up the construction regulations.

소규모 상가 분양가 할인율 결정 모형 -서울시 소규모 상가의 1층 대비 분양가를 중심으로-

조용경(Cho, Yongkyung),김재환(Kim, Jaehwan) 한국주거환경학회 2020 주거환경(한국주거환경학회논문집) Vol.18 No.4

The transaction price can be seen as a reasonable price formed in the market, but the pre-sale price is a price determined by the supplier in consideration of the market price. However, in practice, the pre-sale price of a small-scale retial store is determined by multiplying the pre-sale price on the first floor by a certain discount rate after estimating the price of the first floor based on the market price. Therefore, in this study, we tried to find the factors affecting the pre-sale price ratio (1-discount rate) of the other floors of small-scale retail store, centering on Seoul, and to clarify the relationship through empirical evidence. Therefore, based on the hedonic model, an empirical analysis was conducted using data on the characteristics of real estate and sale prices by floor as variables. For empirical analysis, when a floor-related variable is simply input as a ratio variable (Model 1), when it is divided into two or more floors and a basement floor (Model 2), and when it is divided into two or more floors and three or more floors (Model 3 ), and multiple linear regression analysis was performed. As a result of the analysis, the ratio of pre-sale prices (1-discount ratio) of the first floor of small retail store in Seoul to the other floors (1-discount ratio) is larger in retail store, office retail store, and other retail store than neighborhood retail store. In addition, the larger the total number of stores, the greater the number of parking spaces, and the larger the 2nd and 3rd floors, the larger than the basement floor. In general, the discount rate for the sale price of other floors is 61.78% compared to the first floor.

리드믹 제스처 훈련이 중증 실어증자의 의사소통 능력에 미치는 효과

조용경(Yong-Kyung Cho),권도하(Do-Ha Kwon) 한국언어치료학회 2004 言語治療硏究 Vol.13 No.4

공공사업의 사후평가를 통한 사업선택 절차 수립에 관한 연구

조용경(Cho Yong-Kyung),조영태(Cho Young-Tae),윤영호(Yoon Young-Ho) 대한건축학회 2012 대한건축학회논문집 Vol.28 No.5

Korea, long-term public rental housing has started to supply as permanent rental housing since 1989. Then, several types of long-term rental housing have been supplied. Therefore the facilities are so aged that residents require to improve them. And government wants to provide with the same quality of rental housing to residents who have the same qualifications. So the public projects have begun to improve the facilities of long term rental housing in 2009. However, the process of implementation and budgeting for projects is determined during the short period. Therefore, the selection process of projects elements need to improve. This study aims to improve the selection process through the post-evaluation of residents and relevant persons. Pursuant to the post-evaluation 4 directions of improvement are suggested and the applicable selection process for the next projects. The results of this study is to establish the direction of policy for the next public projects and the selection process of the other public projects for improving aged facilities basis on the post-evaluation.

PSM 기법을 이용한 AI 스마트 하우징 서비스 및 플랫폼 시장 수용 가격 추정

조용경(Cho, Yong kyung),윤영호(Yoon, Young Ho) 한국주거환경학회 2021 주거환경(한국주거환경학회논문집) Vol.19 No.3

The market of AI smart housing services and platforms is expanding with the advancement of ICT technology. Therefore, competition is high for market expansion and preoccupation in the platform industry, furniture and interior industry, electronic device industry, construction industry, and communication industry. But we have already known users(residents) are the most important. And the value perceived by users is priced in the market. Therefore, it is necessary to confirm the price range of AI smart housing services and platforms that are acceptable in the market. Therefore, the purpose of this study is to confirm the distribution structure of AI smart housing service and platform acceptable in the market, and to estimate the price range suitable for the distribution structure. As a result of this study, the intelligent home network most similar to the AI smart housing residential service and platform is basically distributed in the form of a subscription economy. Among the three types of subscription economy, the service is provided by paying a fixed fixed fee. In other words, it is a form of paying a monthly subscription fee and using all services and platforms. Accordingly, we estimated the monthly subscription fee of AI smart housing service and platform using PSM with a sample of 300 apartment dwellers nationwide. As a result of PSM analysis, the market acceptable price range was found to be between 16,000 won and 26,000 won for monthly subscriptions. And the price that maximizes demand is 18,000 won.The SPR was about 2,000 won, indicating that price sensitivity was not great. These results suggest the minimum price range for the AI smart housing service and platform to be basically supplied in the future in the apartment where about 70% of the people live, without being alienated from the market. In addition, it can be used as a practical reference for entities planning to advance into AI smart housing services and platforms throughout the market.