• Proceedings of the KSR Conference
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• 2004.06a
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• pp.296-302
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• 2004

After the Rio declaration on environment and development in 1992, developed countries are undertaking 'environmentally sustainable transportation (EST)' projects. To meet the needs for EST, current transportation policies in Korea are rapidly reforming and one of its concerns is modernizing and upgrading railway freight system. Planning new railroad construction projects is increasing and subsequent environmental impact assessment (EIA) demands improvements, especially in both the EIA and decision making systems. In this paper, we discuss the present status of EIA for railroad construction projects, especially, by analyzing the EIA documents accumulated for last six years. The EIA for railroad construction projects .accounts for only $4.9\%$ of total project EIAs during 1998-2003. However, the portion is gradually increasing. Major environmental concerns for EIA in railroad construction projects were geomorphological and ecological changes, protection of rare organisms, air pollution, water quality, wast management, noise, etc. We also compared the characteristics of environmental impacts of railroad construction with those of vehicle road construction. The result shows that railroad construction usually requires 3${\~}$4 times longer tunnels and bridges for a given length than vehicle road construction. In addition, the amounts of geomorphological and ecological changes (road-cutting, embankment, devegetation, etc.) in railroad construction were generally less than $40\%$ of those in vehicle road construction. In order to develop environmentally friendly railway systems, monitoring studies for environmental impacts of railroads such as habitat fragmentation and road kills, dispersal of alien plants, tunnelling effects on groundwater and vegetation, and noise impacts are highly required.

• Journal of the Regional Association of Architectural Institute of Korea
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• v.21 no.5
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• pp.133-140
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• 2019

Building Information Modeling (BIM) and modular construction are regarded as important technologies that could contribute to overcoming the crisis faced by the construction industry. However, BIM uptake in current modular construction projects is limited. Moreover, there are no specific guidelines to support decision-making regarding the application of BIM in modular construction projects. Therefore, this study aims to analyze the possibility for BIM uptake in each phase of modular construction projects in Korea. Initially, the literature detailing on BIM uptake cases in modular construction projects was reviewed. The detailed work and activities for each phase of a modular project were analyzed via a questionnaire targeting domestic modular experts, to derive items requiring improvement due to errors or changes occurring in the actual project. Ten realistic BIM uptake items were derived, reflecting the results of literature review and expert interviews. Then, the BIM uptake items in each phase were analyzed in terms of necessity and efficiency via a second questionnaire using five-point Likert scales. Finally, the BIM utilization index (BIM UI) of the BIM uptake items was suggested as a priority measure. As a result, the BIM UI of "3D coordination" (U2), "design authoring and reviews for off-site fabrication" (U3), and "detailed 3D modeling for off-site fabrication" (U4), were assigned the highest priority. The results of this study can be used as guidelines to support decision-making regarding the application of BIM in modular construction projects.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.245-252
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• 2022

Risk identification for bridge projects is a knowledge-based and labor-intensive task involving several procedures and stakeholders. Presently, risk information of bridge projects is unstructured and stored in different sources and formats, hindering knowledge sharing, reuse, and automation of the risk identification process. Consequently, there is a need to develop structured and formalized risk information for bridge projects to aid effective risk identification and automation of the risk management processes to ensure project success. This study proposes a semantic risk breakdown structure (SRBS) to support risk identification for bridge projects. SRBS is a searchable hierarchical risk breakdown structure (RBS) developed with python programming language based on a semantic modeling approach. The proposed SRBS for risk identification of bridge projects consists of a 4-level tree structure with 11 categories of risks and 116 potential risks associated with bridge projects. The contributions of this paper are threefold. Firstly, this study fills the gap in knowledge by presenting a formalized risk breakdown structure that could enhance the risk identification of bridge projects. Secondly, the proposed SRBS can assist in the creation of a risk database to support the automation of the risk identification process for bridge projects to reduce manual efforts. Lastly, the proposed SRBS can be used as a risk ontology that could aid the development of an artificial intelligence-based integrated risk management system for construction projects.

• Journal of Construction Engineering and Project Management
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• v.4 no.1
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• pp.29-36
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• 2014

Tunnelling has become a preferred method of construction for road and highway projects in countries with a lot of hilly slope geological conditions such as found in Malaysia. However the construction works of a tunnelling project are usually complicated and costly, which consequently impose great risks to the parties involved. This paper identifies the key significant risks and sub-risks for tunnelling construction projects in Malaysia through a case study. Interview has been used as the solitary means to determine the significant risks from contractor's eleven key project personnel who were directly involved in the tunnelling construction such as consultant, construction manager and tunnel engineers. The importance of the risks identified is then prioritised and ranked via the Analytic Hierarchy Process (AHP)'s pairwise comparison approach to determine their criticality towards a successful delivery of project. As a result, three key risks have been identified as significant for the tunnelling case study project, namely health and safety, cost overrun in construction and time overrun in construction. Two sub-risks each of the latter categories, which are cost underestimation and unforeseen events (cost overrun in construction) as well as plant and machinery failure and delay in material delivery (time overrun in construction), have occupied the top five overall risk ranking.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.103-110
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• 2022

In the era of the 4th Industrial Revolution, smart technology being considered to improve productivity breakthroughs is in the spotlight as a means to replace traditional construction technology in the construction industry. However, various problems are occurring in construction sites using smart technology and causing negative impacts on construction projects. Therefore, the objective of this study is to identify risk factors that occur when smart technologies are used in construction projects. To achieve this purpose, this study investigated the difficulties at construction projects using smart technology, and risk factors were derived based on site surveys and literature. The risk factors were measured by experts, and then a total of 19 risk factors was derived by exploratory factor analysis. As a result, risks were classified as 5 factors, the institutional factor is the most difficult response, and the government needs anticipative system improvement and a long-term plan. The research findings provide practical implications for construction experts trying to apply smart technology in construction sites and construction policy-makers to revitalize smart technology.

• Journal of the Korea Institute of Building Construction
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• v.15 no.6
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• pp.641-651
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• 2015

With its recent tourism boom, Vanuatu, a small country in the South Pacific, is experiencing an increasing demand for construction. However, it has been struggling with persistent schedule delays in their construction projects due to a variety of reasons. In an attempt to respond to this situation, this paper aims to identify the major causes of schedule delays in building construction in Pacific island countries, with a focus on Vanuatu. To collect data on the factors affecting schedule delays, face-to-face interviews were conducted. Based on these, seven major causes of schedule delays, as selected by the majority of the participants, were identified and discussed to provide perceptive insights for future improvement opportunities. This paper attempts to help contractors with limited resources better understand the major causes of schedule delay in Vanuatu and achieve better performance in building projects.

• Land and Housing Review
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• v.11 no.4
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• pp.115-124
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• 2020

Incentive/Disincentive (I/D) contract is designed for minimizing any disruption of traffic flow in road construction projects. I/D contracting projects have been evaluated with regard to time and cost performance in various states, more than 35 states. However, construction project managers and planners have little understanding of the project factors that affect the project time and cost performance of highway construction projects using I/D regulations. Therefore, the purpose of this research is to find factors that affect I/D project success or failure to improve the decision-making process for the implementation of I/D projects. In order to achieve the objectives of this research, the researchers collected I/D road construction project data from FDOT and performed evaluation for each collected project. Then, project data analysis to identify key factors that affect I/D project performance was performed. In conclusion, five significant factors for project time performance and six significant factors for project cost perfornace were identified and summarized.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.371-375
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• 2015

Design-Build (DB) has gained in popularity in roadway projects due to its defining advantage to improve communication and fast-track project delivery. However, very little is known about the impact of change order frequency and occurrence timing pertaining to DB projects. The study analyzes their impacts on project time and cost performance by conducting a rigorous numerical analysis drawing on 530 3R (rehabilitation, reconstruction, and resurfacing) projects completed between 2002 and 2011 in Florida by using a multiple linear regression. The results indicate that DB outperformed Design-Bid-Build in project cost as well as time. Critically, the regression analysis signifies that earlier change order occurrence caused more unfavorable impacts on schedule and cost. The proposed analyses and models will lead to the improved ability of agencies to quickly and more reliably estimate the potential change order impacts on schedule and cost.

• International conference on construction engineering and project management
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• 2013.01a
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• pp.648-651
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• 2013

The information generated in large-scale and complex construction projects are transferred continuously and transformed into project products on the long span life cycle. Therefore, information flow management is related with the success of project directly. However, certain characteristics of large-scale and complex construction projects make the solving the problem more difficultly. Although several information retrieval systems support the information management system, it is not suitable to grasp information flows. Hence, we developed an information retrieval system specialized with the information flow based on a preceding research. The system consists of a relation-based database and the process information transferring relation inference application module. The system enables project managers to manage the entire project process more efficiently and each project member to work their own task being served the information flow retrieval results.

• International conference on construction engineering and project management
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• 2011.02a
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• pp.556-560
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• 2011

Players of construction projects proceed with each work process by information gathering, modification and communication. Due to the complex and long-span lifecycle projects increased, it became more important to grasp this mechanism for the successful project performance in construction project. Hence, most project information management systems or knowledge management systems equip information retrieval system. There are two logic to infer the meaning of retrieval target; inductive reasoning and deductive reasoning. The former is based on metadata explaining the target and the later is based on relation between data. To infer the information flow, it is necessary to define the correlation between players and work processes. However, most established information retrieval systems are based on index search system and it is not focused on correlation between data but data itself. Thus, this research aims to research on process of information flow retrieval system for large-scale construction projects.