• 한국건축시공학회지
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• 제13권1호
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• pp.66-74
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• 2013

In the early stages of a construction project, the most important thing is to predict construction costs in a rational way. For this reason, many studies have been performed on the estimation of construction costs for apartment housing and office buildings at early stage using artificial intelligence, statistics, and the like. In this study, cost data held by a provincial Office of Education on elementary schools constructed from 2004 to 2007 were used to compare the multiple regression model with an artificial neural network model. A total of 96 historical data were classified into 76 historical data for constructing models and 20 historical data for comparing the constructed regression model with the artificial neural network model. The results of an analysis of predicted construction costs were that the error rate of the artificial neural network model is lower than that of the multiple regression model.

• 한국건축시공학회지
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• 제15권4호
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• pp.441-449
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• 2015

Recently, the number of accidents reported involving foreign laborers has risen, and the need to prevent accidents at construction sites has become more urgent. It has been found that 90 percent of construction accidents are caused by unsafe work practices, and various studies have been conducted on these practices with the aim of preventing accidents at construction sites. However, the tendency with previous studies was to average the results of survey responses, and as a result it is impossible to consider the potential risk of how many foreign laborers feel unsafe in relation with the unsafe practices. Therefore, in this study, importance-performance analysis (IPA) was improved in order to assess the potential risk of the unsafe practices of foreign laborers at construction sites in Korea. To verify the applicability of the improved IPA, a survey was carried out, and then the results were compared with those of the IPA. Through the use of the improved IPA, unsafe practices that were not found in the previous IPA but have potential risk were identified. The method proposed in this study is expected to contribute to the prevention of construction accidents of foreign workers by enabling a more efficient management.

• 한국조경학회지
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• 제31권6호
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• pp.64-72
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• 2004

This study analyses influences on partial work rates under whole work rates on landscape constructions in Ulsan Grand Park. The schedule management is one of the factors that are very important to the process management of landscape construction. The time process of the whole construction is supposed to be affected by several kinds of work that organize the whole construction. First, this study divides the construction of Ulsan Grand Park into 10 kinds of works: earth work, rain and sanitary sewage water work, water-supplying work, planting work, paving work, water proofing work, fountain work, instituting work and temporary work. Then the time-process curves of all kinds of work are statistically compared to that of the whole construction. The trial methods of statistics are lineal regression, non-lineal regression, and principal analysis. In the result of the non-lineal regression, the rain and sanitary sewage water work, the water-supplying work and the earth work strongly affected the whole construction. The principal analysis results show that the whole construction is affected strongly by the water-supplying work, the rain and sanitary sewage water work and the earth work. However the lineal regression is shown to be senseless because of its high collinearity.

• 한국건설관리학회논문집
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• 제9권3호
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• pp.75-84
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• 2008

오늘날 건설수요는 고도화, 프로젝트의 대형화, 공사여건의 복잡화와 같은 외부환경에 의해 변하고 있다. 이에 정부에서는 외부환경의 변화에 적절히 대응하고자 선진화된 발주방식을 도입하였다. 그러나 이러한 의도와는 달리, 기 발주된 프로젝트에서는 발주방식별 장 단점 등이 효과적으로 나타나지 못하고 있다. 이러한 원인은 사업의 기획단계에서 발주방식을 선정할 때 사업의 특성을 충분히 반영하지 못하는 현재의 "대형공사 입찰방법 심의기준"에서 그 원인을 찾을 수 있다. 따라서 본 연구는 프로젝트의 특성에 따른 적절한 발주방식을 적용하기 위하여 공동주택 건설공사의 발주방식에 영향을 주는 영향요인을 분석하고자 한다.

• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.1396-1403
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• 2009

The Ministry of Construction and Transportation (MOCT) has been constructing a nationwide soil information DB since 2000, as basic data for the construction of 'underground geographical information,' a project under the 2nd National Geo-spatial Information System (NGIS) master plan. The inputted soil information includes not only underground conditions such as the layer depth, type, color, and groundwater level, but also engineering information that can be applied to construction work design, such as on the standard penetration test and the compression test. It is difficult to use this information in soil analysis and design, however, because only the test results are currently available. A web-based geo-spatial information system was developed in this study to facilitate the effective application of the soil information database (DB). First, the space information, layer information, and engineering test information were loaded from the soil information DB in real time, and the earth volume, bearing capacity, and settlement were calculated to develop a web client that will evaluate the ground softness and liquefaction. It seems that the soil information DB can be actively applied to the planning and design of construction works using this system.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.1122-1129
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• 2022

The concept of Digital Twin (DT) has been receiving an increasing amount of attention in the construction management and building engineering research domains. Although the benefits of DT are evident, confusion with regards to the concept of DTs and its relationship with others such as Cyber-Physical Systems (CPS), Building Information Modelling (BIM) and Internet of Things (IoT) remains. This paper aims to help allay this confusion through an in-depth analysis of the definition of DT and its unique characteristics. As such, a review of the past and current definitions of DT and CPS in various domains is performed. An analysis is then conducted to identify the overlaps between the definition of DT with CPS, as well as with BIM and IoT. Finally, given the relatively closer resemblances between DT and CPS, a set of four distinct dimensions enabling their comparative analysis and highlighting their shared and unique characteristics is discussed. This paper contributes to the existing literature by exploring the definition of DT and presenting two original conceptualizations that help further refine the concept of DT in the construction and management and building engineering domain.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2023년도 봄 학술논문 발표대회
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• pp.359-360
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• 2023

As data management and analysis technology advances, there is active discussion on how to utilize data generated in construction projects. Among them, the materials produced during the supervision work are highly useful because their generation cycle and format are regulated according to relevant laws. In this study, we analyzed whether the data produced during the supervision work in the construction phase of apartment housing can be utilized for project performance management. First, this study identified key data necessary for performance management through FGI with experts in the field of apartment housing. Next, we collected supervisory data from the case project and identified whether the data was generated, its cycle, and storage format. As a result of the analysis, the supervisory data contained various information that could measure the performance of construction projects and had the advantage of standardized data. In the future, utilizing supervisory data is expected to enable effective performance management of apartment housing construction projects.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2018년도 추계 학술논문 발표대회
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• pp.130-131
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• 2018

The main purpose of this study is to analyze the importance of the construction work of apartment buildings. The construction work operation was divided into five major tasks, which include: Schedule Control (P'1 - P5) Construction Management (C'1 - C'5), Environmental Management (E'1 - E'3), and Quality Management. Finally, this study derived major construction execution tasks through correlation between construction work and the original index and t-test.

• 한국IT서비스학회지
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• 제11권4호
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• pp.25-37
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• 2012

In recent year, the u-City construction projects which integrate IT technology into urban infrastructures are being pushed forward by many local governments. These projects contain various purposes in an aspect of regional economy : to reinforce a competitiveness of region by increasing efficiency of urban managements and to revitalize regional economy by stimulating the regional high-tech industries that related to u-City construction. In this context, regional economic impact assessment of u-City construction projects is particularly important because, it give us information about effectiveness of u-City construction policy as a stimulus of regional high-tech industries and the policy feasibility of u-City construction projects that can be a base of public projects. However, it is challenging to assess the impact of u-City projects on regional economy properly due to a lack of understanding about industrial classification, and specific industrial inputs related to u-City construction. In this study, we suggest u-City industrial classifications, and specific-industrial inputs induced by u-City construction projects based on associated legislations, business report for a u-City construction, and results from previous studies. Using these classification and industrial input, we also investigate the regional economic impacts of a u-City construction project in Wha-sung and Dong-tan cities employing Input-output analysis. The empirical results suggests that u-City industries have relatively high in production inducement, and value added inducement compared to input of other industrial sectors. These results indicate that regional economic impact of a Wha-sung and Dong-tan u-City construction project are relatively high, but economic impacts of u-City construction projects vary according to the regional industrial structure, and the specific expense accounts of u-City construction projects.

• 한국컴퓨터정보학회논문지
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• 제26권8호
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• pp.139-147
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• 2021

건설 분야의 산업재해가 차지하는 비율은 전체 산업의 29%로 고위험군산업에 해당한다. 또한 다양한 공정이 존재하며, 소수의 관리자가 다수의 근로자를 관리하고 감독하는 특성상 위험도 관리가 필수적이다. 따라서 공사의 종류 및 공법에 따라 체계적이고 과학적인 위험도분석 방안을 마련해야 하며, 작업현장의 위험도를 점진적으로 완화하고 개선해야한다. 본 연구에서는 도로 교량공사 공종별 안전사고 발생확률 자료 및 전문가 데이터를 기초로 하고 확률론적 접근 방법인 몬테카를로 시뮬레이션을 활용하여 신뢰도 있는 위험지수를 산정할 수 있는 방안을 제시하고 평가하였다. 리스크 식별은 도로 교량공사를 토공사, 배수공사, 교량공사로 구분하여 전문가 데이터를 바탕으로 발생가능한 안전사고를 분류하였다. 도로 교량공사의 토공사, 배수공사, 교량공사의 세부공종별로 위험지수를 도출하였다.