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Prof. Chang-taek Hyun
Univ. of Seoul

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Research Keywords & Expertise

0 Program Management
0 Value Engineering
0 smart city
0 Construction management and engineering
0 Digital Twin

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Value Engineering
smart city
Digital Twin

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Short Biography

Professor Hyun received his doctoral and master’s degrees from Seoul National University, and took his postdoctoral course at the University of Illinois at Urbana-Champaign. He was working as a Visiting Scholar at the University of Colorado at Boulder from 2004 to 2005. He has seven years of professional experience in construction field and acquired P.E. license, and taught at Kyung Sung University before being appointed at the University of Seoul. He teaches undergraduate and graduate courses related to construction management and building construction. He is also working as a chairman of KCVE(Korea Construction VE Research Institute) and a president of PMPgM, the venture company in UOS. And he is a member of academic or practical institute such as AIK, KICEM, ASCE, CMAA, and SAVE I. And he is/was working as the member of the consultation and deliberation committees of the Ministry of Land, Infrastructure and Transport, the Seoul Metropolitan Government, Korea Land & Housing Corporation, Korea Expressway Corporation, Jeju Free International City Development Center, Seoul Housing Corporation, and so forth. By engaging in various research projects, he has contributed to the improvement of construction systems and policies. The major focus of his research is on Construction Engineering & Program Management including Value Engineering/Life Cycle Cost, Program Management Information System(PgMIS), Smart City/Digital Twin, and Building Construction.

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Review
Published: 18 March 2021 in Sustainability
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The city digital twin is anticipated to accurately reflect and affect the city’s functions and processes to enhance its realization, operability, and management. Although research on the city digital twin is still in its infancy, the advancement of the digital twin technology is growing fast and providing viable contributions to augmenting smart city developments. This study reviews the literature to identify the current and prospective potentials and challenges of digital twin cities. A research agenda is also proposed to guide future research on the city digital twincity digital twin to reach the utmost level of a comprehensive and complete city digital twin. Enhancing the efficiency of data processing, promoting the inclusion of socio-economic components of the city, and developing mutual integration between the two counterparts of the digital twin are proposed to be the future research directions to achieve and utilize a completely mirrored city digital twin.

ACS Style

Ehab Shahat; Chang Hyun; Chunho Yeom. City Digital Twin Potentials: A Review and Research Agenda. Sustainability 2021, 13, 3386 .

AMA Style

Ehab Shahat, Chang Hyun, Chunho Yeom. City Digital Twin Potentials: A Review and Research Agenda. Sustainability. 2021; 13 (6):3386.

Chicago/Turabian Style

Ehab Shahat; Chang Hyun; Chunho Yeom. 2021. "City Digital Twin Potentials: A Review and Research Agenda." Sustainability 13, no. 6: 3386.

Journal article
Published: 07 February 2021 in Sustainability
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Recently, the construction industry has seen an increase in construction program level projects in which a number of projects are carried out simultaneously. These projects thus require more systematic management than traditional management methods due to both their complexity and the diverse stakeholders involved. When multiple projects overlap at the same time, it can create a gap between the contractor’s results and the user’s expectations at the closure phase of the construction program. These can include situations such as when handover is delayed, conflicts and frictions occur, and complaints from users mount. Therefore, an approach is needed to increase user satisfaction at the program level. This study presents a systematic closing management plan to increase user satisfaction for a smoother handover at the closure phase. The closure process was identified through case studies of activities in the closure phase. In addition, after identifying the stakeholder groups participating in the closure phase, responsibilities and roles were proposed as RACI (Responsible, Accountable, Consulted, and Informed) models by mapping the closure phase of processes and stakeholders. This model shows who is responsible and accountable for, consulted on, and informed about work processes in the closure phase of the program. From a user’s point of view, program closure signifies the beginning of operation and maintenance. We intend to contribute to the increase of user satisfaction by suggesting when and in what work activities the user will be involved in construction products from the user’s perspective.

ACS Style

Woo-Yeon Lee; Seung-Hoon Lee; Chengquan Jin; Chang-Taek Hyun. Development of the RACI Model for Processes of the Closure Phase in Construction Programs. Sustainability 2021, 13, 1806 .

AMA Style

Woo-Yeon Lee, Seung-Hoon Lee, Chengquan Jin, Chang-Taek Hyun. Development of the RACI Model for Processes of the Closure Phase in Construction Programs. Sustainability. 2021; 13 (4):1806.

Chicago/Turabian Style

Woo-Yeon Lee; Seung-Hoon Lee; Chengquan Jin; Chang-Taek Hyun. 2021. "Development of the RACI Model for Processes of the Closure Phase in Construction Programs." Sustainability 13, no. 4: 1806.

Journal article
Published: 16 November 2020 in Sustainability
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The discourse of disaster governance is focused on the arrangements, relationships, and roles of the various actors involved in disaster governance. However, due to the lack of research on utilizing emerging technologies in disaster governance systems, this paper addresses the prospective benefits of utilizing Internet of Things (IoT) technologies in smart disaster governance systems. The authors employed a conceptual analysis of the previous research on disaster governance and utilizing IoT in disaster management. The basic concepts and constructs were abstracted from the literature to conceptualize a smart disaster governance system and its processes. As a result, six spheres were portrayed to form the characteristics of the smart disaster governance system, and an integrative conceptual framework for smart disaster governance was developed. The conceptual framework encompasses IoT technologies’ capabilities and disaster governance functions, in addition to the foreseen enhancements in disaster coping capacities and an overall rise in disaster resilience. A hypothetical case study was conducted to investigate the conceptual framework’s plausibility, and it showed a probable enhancement of the disaster governance of the 2018 Kerala floods if the smart disaster governance framework was utilized. This research provides a novel conceptualization of smart disaster governance. It can deepen the understanding of prospective benefits of integrating IoT technologies with disaster governance functions, contribute to disaster governance policy formulations, and construct a basis for future research on smart disaster governance for a sustainable society.

ACS Style

Ehab Shahat; Chang Hyun; Chunho Yeom. Conceptualizing Smart Disaster Governance: An Integrative Conceptual Framework. Sustainability 2020, 12, 9536 .

AMA Style

Ehab Shahat, Chang Hyun, Chunho Yeom. Conceptualizing Smart Disaster Governance: An Integrative Conceptual Framework. Sustainability. 2020; 12 (22):9536.

Chicago/Turabian Style

Ehab Shahat; Chang Hyun; Chunho Yeom. 2020. "Conceptualizing Smart Disaster Governance: An Integrative Conceptual Framework." Sustainability 12, no. 22: 9536.

Journal article
Published: 09 May 2020 in Sustainability
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This study aims to identify the defect generation rules between defects, to support effective defect prevention at construction sites. Numerous studies have been performed to identify the relations between defect causes, to prevent defects in construction projects. However, identifying the inter-causal pattern does not yet guarantee an ultimate grasp of what constitutes proper defect mitigation strategies, unless the underlying defect-to-defect generation rules are thoroughly understood too. Specifically, if a defect generated in a work process is ignored without taking necessary corrective action, then additional defects could be generated in its following works as well. Thus, to minimize defect generation, this study analyzes the defects in the sequence of a construction work. To achieve this, the authors collected 9054 defect data, and association rule mining is used to analyze the rules between the defects. Consequently, 216 rules are identified, and 152 rules are classified into 3 categories along with 4 experts (71 expected rules, 22 unexpected but explainable rules, and 59 unexpected and unexplainable rules). The generation rules between the defects identified in this study are expected to be used to regularize various defect types to determine those that require priority management.

ACS Style

Jungeun Park; Yongwoon Cha; Hamad Al Jassmi; Sangwon Han; Chang-Taek Hyun. Identification of Defect Generation Rules among Defects in Construction Projects Using Association Rule Mining. Sustainability 2020, 12, 3875 .

AMA Style

Jungeun Park, Yongwoon Cha, Hamad Al Jassmi, Sangwon Han, Chang-Taek Hyun. Identification of Defect Generation Rules among Defects in Construction Projects Using Association Rule Mining. Sustainability. 2020; 12 (9):3875.

Chicago/Turabian Style

Jungeun Park; Yongwoon Cha; Hamad Al Jassmi; Sangwon Han; Chang-Taek Hyun. 2020. "Identification of Defect Generation Rules among Defects in Construction Projects Using Association Rule Mining." Sustainability 12, no. 9: 3875.

Journal article
Published: 13 April 2020 in Sustainability
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The construction industry is one of the most hazardous industries in many countries. Many studies have asserted that industrial accidents could be prevented by eliminating their root causes. However, given that accident occurrence processes are considerably complex and often invisible, it is difficult to identify and eliminate the root causes. Based on this recognition, this paper aims to analyze the causality of construction accidents on the basis of direct causes that are classified into unsafe actions (UA) and unsafe conditions (UC). A logistic regression is applied to examine associations between UAs and UCs and their significances in triggering construction accidents. Then, a Delphi method is applied to determine the relationships between direct and root causes of construction accidents. This study contributes to an improved understanding of the complex causal process of construction accidents, which is a necessary stepping-stone to prevent construction accidents. Meanwhile, only one-to-one combinations of UCs and UAs are considered in this paper. Thus, follow-up studies to examine the impact of one-to-many or many-to-many combinations are needed.

ACS Style

Inseok Park; Jonghyeob Kim; Sangwon Han; Changtaek Hyun. Analysis of Fatal Accidents and Their Causes in the Korean Construction Industry. Sustainability 2020, 12, 3120 .

AMA Style

Inseok Park, Jonghyeob Kim, Sangwon Han, Changtaek Hyun. Analysis of Fatal Accidents and Their Causes in the Korean Construction Industry. Sustainability. 2020; 12 (8):3120.

Chicago/Turabian Style

Inseok Park; Jonghyeob Kim; Sangwon Han; Changtaek Hyun. 2020. "Analysis of Fatal Accidents and Their Causes in the Korean Construction Industry." Sustainability 12, no. 8: 3120.

Journal article
Published: 12 July 2019 in Sustainability
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Decisions made in the early stages of construction projects significantly influence the costs incurred in subsequent stages. Therefore, such decisions must be based on the life-cycle cost (LCC), which includes the maintenance, repair, and replacement (MRR) costs in addition to construction costs. Furthermore, as uncertainty is inherent during the early stages, it must be considered in making predictions of the LCC more probabilistic. This study proposes a probabilistic LCC prediction model developed by applying the Monte Carlo simulation (MCS) to an LCC prediction model based on case-based reasoning (CBR) to support the decision-making process in the early stages of construction projects. The model was developed in two phases: first, two LCC prediction models were constructed using CBR and multiple-regression analysis. Through k-fold validation, one model with superior prediction performance was selected; second, a probabilistic LCC model was developed by applying the MCS to the selected model. The probabilistic LCC prediction model proposed in this study can generate probabilistic prediction results that consider the uncertainty of information available at the early stages of a project. Thus, it can enhance reliability in actual situations and be more useful for clients who support both construction and MRR costs, such as those in the public sector.

ACS Style

Zhengxun Jin; Jonghyeob Kim; Chang-Taek Hyun; Sangwon Han. Development of a Model for Predicting Probabilistic Life-Cycle Cost for the Early Stage of Public-Office Construction. Sustainability 2019, 11, 3828 .

AMA Style

Zhengxun Jin, Jonghyeob Kim, Chang-Taek Hyun, Sangwon Han. Development of a Model for Predicting Probabilistic Life-Cycle Cost for the Early Stage of Public-Office Construction. Sustainability. 2019; 11 (14):3828.

Chicago/Turabian Style

Zhengxun Jin; Jonghyeob Kim; Chang-Taek Hyun; Sangwon Han. 2019. "Development of a Model for Predicting Probabilistic Life-Cycle Cost for the Early Stage of Public-Office Construction." Sustainability 11, no. 14: 3828.

Journal article
Published: 24 January 2019 in Sustainability
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A construction defect can cause schedule delay, cost overrun and quality deterioration. In order to minimize these negative impacts of construction defects, this paper aims to analyze the causality of construction defects. Specifically, association rule mining (ARM) is used to quantify the interrelationships between defect causes, and social network analysis (SNA) is utilized to find out the most influential causes triggering generation of construction defects. The suggested approach was applied to 2949 defect instances in finishing work. Through this application, it was confirmed that the proposed approach can systematically identify and quantify causality among defect causes.

ACS Style

Sangdeok Lee; Yongwoon Cha; Sangwon Han; Changtaek Hyun. Application of Association Rule Mining and Social Network Analysis for Understanding Causality of Construction Defects. Sustainability 2019, 11, 618 .

AMA Style

Sangdeok Lee, Yongwoon Cha, Sangwon Han, Changtaek Hyun. Application of Association Rule Mining and Social Network Analysis for Understanding Causality of Construction Defects. Sustainability. 2019; 11 (3):618.

Chicago/Turabian Style

Sangdeok Lee; Yongwoon Cha; Sangwon Han; Changtaek Hyun. 2019. "Application of Association Rule Mining and Social Network Analysis for Understanding Causality of Construction Defects." Sustainability 11, no. 3: 618.

Journal article
Published: 01 January 2019 in Journal of Management in Engineering
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Life-cycle cost analysis (LCCA) is a methodology used to calculate the total cost of a project from initial planning to final disposal. In conventional approaches, LCCA assumes that regular and preventive maintenance will be performed according to each replacement cycle for individual components, and replacement for each component is considered independently. However, because the components of equipment used in buildings are installed systemically, replacements of major components may cause unexpected replacements of dependent minor components. Therefore, it is necessary to identify additional replacements based on the associations among these related replacement components to achieve a more reliable LCCA. In response, this study proposes an LCCA model that comprehensively considers the relationships among the maintenance components. The development of the model involves identifying relationships among components using social network analysis (SNA), arranging individual replacement timings of the components that reflect these relationships, and analyzing the life-cycle cost (LCC) based on the arranged timing. To validate the model, its applicability and effectiveness was illustrated and tested using 19 components of a rainwater reuse system. This study makes a theoretical contribution to the body of knowledge by suggesting concepts of synchronous relationships and replacements based on SNA. In addition, the use of the model proposed in this study enables practitioners to analyze LCCs that reflect synchronous replacements, which allows more reasonable decision-making considering hidden costs in conventional LCC.

ACS Style

Jonghyeob Kim; Sangwon Han; Chang-Taek Hyun. Identification and Reduction of Synchronous Replacements in Life-Cycle Cost Analysis of Equipment. Journal of Management in Engineering 2019, 35, 04018058 .

AMA Style

Jonghyeob Kim, Sangwon Han, Chang-Taek Hyun. Identification and Reduction of Synchronous Replacements in Life-Cycle Cost Analysis of Equipment. Journal of Management in Engineering. 2019; 35 (1):04018058.

Chicago/Turabian Style

Jonghyeob Kim; Sangwon Han; Chang-Taek Hyun. 2019. "Identification and Reduction of Synchronous Replacements in Life-Cycle Cost Analysis of Equipment." Journal of Management in Engineering 35, no. 1: 04018058.

Journal article
Published: 01 November 2018 in Journal of Computing in Civil Engineering
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Building maintenance, repair, and replacement (MR&R) costs are estimated to be two to three times larger than initial construction costs. Thus, it is important to accurately estimate and manage MR&R costs in the planning phase and/or design phase of a construction project based on life cycle cost analysis (LCCA). However, the nature of LCCA requires making necessary assumptions for the prediction and analysis of MR&R costs, and the reliability of the assumptions greatly impacts LCCA results. In particular, determining reasonable replacement cycles is especially important given that each replacement typically involves a significant amount of capital. However, conventional approaches largely focus on either collecting component-specific replacement cases or surveying expert opinions, both of which reduce the usability and reliability of replacement cycle data at an early stage. To overcome these limitations, this study aims to develop a replacement cycle collection model that can expedite the data collection by combining indirect estimations with direct estimations. The development of the model involves collecting replacement cases, developing replacement cycle and index estimation methods, and developing an algorithm to implement the suggested model. As a validation, the applicability and effectiveness of the model were illustrated and tested by using simulated cases based on 21 real-world facilities. This study makes a theoretical contribution to the body of knowledge by developing a replacement cycle data collection model based on long-term and macro perspectives. The developed model will also be of value to practitioners when they try to improve the reliability of their LCCA.

ACS Style

Jonghyeob Kim; Hyun Woo Lee; William Bender; Chang-Taek Hyun. Model for Collecting Replacement Cycles of Building Components: Hybrid Approach of Indirect and Direct Estimations. Journal of Computing in Civil Engineering 2018, 32, 04018051 .

AMA Style

Jonghyeob Kim, Hyun Woo Lee, William Bender, Chang-Taek Hyun. Model for Collecting Replacement Cycles of Building Components: Hybrid Approach of Indirect and Direct Estimations. Journal of Computing in Civil Engineering. 2018; 32 (6):04018051.

Chicago/Turabian Style

Jonghyeob Kim; Hyun Woo Lee; William Bender; Chang-Taek Hyun. 2018. "Model for Collecting Replacement Cycles of Building Components: Hybrid Approach of Indirect and Direct Estimations." Journal of Computing in Civil Engineering 32, no. 6: 04018051.

Journal article
Published: 30 April 2015 in KSCE Journal of Civil Engineering
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Cost and duration are two of the most important factors in the successful assessment of a construction project. In order to set appropriate cost and duration targets for individual projects, the targets must first be established based on accurate productivity information from the planning stage. In Korea, the cost and duration of a construction activity are estimated using standardized productivity information provided by the Korean Standard of Estimate (KSE). However, the KSE standardized productivity information may not fully reflect the characteristics of an individual project, given its unique nature. Thus, cost and duration targets set based on the KSE for productivity may be unreasonable and/or unattainable. To address this issue, this paper suggests a simulation-based approach where actual field productivity information is utilized to set more realistic cost and duration targets and to optimize resource allocation, including crew assembly. Specifically, a CYCLONE model is developed for reinforced concrete work that is typically a critical activity in multi-housing projects, which account for 35% of public construction projects in Korea. Experimental application of the simulation model confirmed its promising potential for assisting construction managers in calculating productivity through sensitivity analysis and in planning and controlling efficient resource management.

ACS Style

Soobae An; Soungmin Ji; Changtaek Hyun; Sangwon Han. A model-based productivity improvement of reinforced concrete work in a multi-housing project. KSCE Journal of Civil Engineering 2015, 19, 1183 -1192.

AMA Style

Soobae An, Soungmin Ji, Changtaek Hyun, Sangwon Han. A model-based productivity improvement of reinforced concrete work in a multi-housing project. KSCE Journal of Civil Engineering. 2015; 19 (5):1183-1192.

Chicago/Turabian Style

Soobae An; Soungmin Ji; Changtaek Hyun; Sangwon Han. 2015. "A model-based productivity improvement of reinforced concrete work in a multi-housing project." KSCE Journal of Civil Engineering 19, no. 5: 1183-1192.

Journal article
Published: 30 November 2013 in Korean Journal of Construction Engineering and Management
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ACS Style

Chang-Taek Hyun; Jong-Hyeob Kim; Myung-Jin Son. Multi-dimensional Quality Model for Value Engineering in Planning Phase of Public Construction Program. Korean Journal of Construction Engineering and Management 2013, 14, 61 -69.

AMA Style

Chang-Taek Hyun, Jong-Hyeob Kim, Myung-Jin Son. Multi-dimensional Quality Model for Value Engineering in Planning Phase of Public Construction Program. Korean Journal of Construction Engineering and Management. 2013; 14 (6):61-69.

Chicago/Turabian Style

Chang-Taek Hyun; Jong-Hyeob Kim; Myung-Jin Son. 2013. "Multi-dimensional Quality Model for Value Engineering in Planning Phase of Public Construction Program." Korean Journal of Construction Engineering and Management 14, no. 6: 61-69.

Journal article
Published: 31 March 2013 in Korean Journal of Construction Engineering and Management
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ACS Style

Hyeong-Jin Park; In-Ji Park; Hyun-Seok Moon; Kyo-Jin Koo; Chang-Taek Hyun. Breakdown Structure and Weight Evaluation for Maintenance Items of Public Childcare Facilities. Korean Journal of Construction Engineering and Management 2013, 14, 3 -11.

AMA Style

Hyeong-Jin Park, In-Ji Park, Hyun-Seok Moon, Kyo-Jin Koo, Chang-Taek Hyun. Breakdown Structure and Weight Evaluation for Maintenance Items of Public Childcare Facilities. Korean Journal of Construction Engineering and Management. 2013; 14 (2):3-11.

Chicago/Turabian Style

Hyeong-Jin Park; In-Ji Park; Hyun-Seok Moon; Kyo-Jin Koo; Chang-Taek Hyun. 2013. "Breakdown Structure and Weight Evaluation for Maintenance Items of Public Childcare Facilities." Korean Journal of Construction Engineering and Management 14, no. 2: 3-11.

Journal article
Published: 31 July 2012 in Korean Journal of Construction Engineering and Management
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ACS Style

Jae-Kyung Cho; Chang-Taek Hyun; You-Sang Yoon; Run-Zhi Jin; Yong-Woon Cha. Risk Factor Classification and Weight Estimation for Urban Regeneration Project. Korean Journal of Construction Engineering and Management 2012, 13, 89 -99.

AMA Style

Jae-Kyung Cho, Chang-Taek Hyun, You-Sang Yoon, Run-Zhi Jin, Yong-Woon Cha. Risk Factor Classification and Weight Estimation for Urban Regeneration Project. Korean Journal of Construction Engineering and Management. 2012; 13 (4):89-99.

Chicago/Turabian Style

Jae-Kyung Cho; Chang-Taek Hyun; You-Sang Yoon; Run-Zhi Jin; Yong-Woon Cha. 2012. "Risk Factor Classification and Weight Estimation for Urban Regeneration Project." Korean Journal of Construction Engineering and Management 13, no. 4: 89-99.

Journal article
Published: 29 April 2012 in KSCE Journal of Civil Engineering
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In scheduling building construction work, non-workable days due to weather conditions and national holidays lessen the accuracy of scheduling. This study aims to determine the percentage of workable days to enable more accurate scheduling of superstructure work in building construction. To calculate the percentage of workable days applicable to superstructure work in building construction, this study analyzed various data, including actual building cases. Actual weather data in the Seoul region for the past five years was used in particular and the number of national holidays therein was analyzed. This approach is intended to yield a more accurate and objective percentage of workable days. This study suggests that the use of yearly and monthly percentages of workable days in the scheduling for superstructure work of future building construction projects will make scheduling more objective and accurate.

ACS Style

Young Gu Han; Kyu Man Cho; Tae Hoon Hong; Chang Taek Hyun. Percentage of workable days in scheduling superstructure work for building construction projects in Korea. KSCE Journal of Civil Engineering 2012, 16, 517 -525.

AMA Style

Young Gu Han, Kyu Man Cho, Tae Hoon Hong, Chang Taek Hyun. Percentage of workable days in scheduling superstructure work for building construction projects in Korea. KSCE Journal of Civil Engineering. 2012; 16 (4):517-525.

Chicago/Turabian Style

Young Gu Han; Kyu Man Cho; Tae Hoon Hong; Chang Taek Hyun. 2012. "Percentage of workable days in scheduling superstructure work for building construction projects in Korea." KSCE Journal of Civil Engineering 16, no. 4: 517-525.

Conference paper
Published: 01 January 2012 in Research, Development and Practice in Structural Engineering and Construction
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ACS Style

Chang-Teak Hyun; Hyun-Jong Lee; You-Sang Yoon; Ji-Hoon Kim; Hyun-Chul Jung. Application Effects of I-PGMIS for Urban Regeneration Projects. Research, Development and Practice in Structural Engineering and Construction 2012, 1 .

AMA Style

Chang-Teak Hyun, Hyun-Jong Lee, You-Sang Yoon, Ji-Hoon Kim, Hyun-Chul Jung. Application Effects of I-PGMIS for Urban Regeneration Projects. Research, Development and Practice in Structural Engineering and Construction. 2012; ():1.

Chicago/Turabian Style

Chang-Teak Hyun; Hyun-Jong Lee; You-Sang Yoon; Ji-Hoon Kim; Hyun-Chul Jung. 2012. "Application Effects of I-PGMIS for Urban Regeneration Projects." Research, Development and Practice in Structural Engineering and Construction , no. : 1.

Journal article
Published: 30 November 2011 in Korean Journal of Construction Engineering and Management
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ACS Style

Soung-Min Ji; Kyo-Jin Koo; Chang-Taek Hyun. Development of Safety Management Index for Contractor Assessment in Bidding Process. Korean Journal of Construction Engineering and Management 2011, 12, 3 -13.

AMA Style

Soung-Min Ji, Kyo-Jin Koo, Chang-Taek Hyun. Development of Safety Management Index for Contractor Assessment in Bidding Process. Korean Journal of Construction Engineering and Management. 2011; 12 (6):3-13.

Chicago/Turabian Style

Soung-Min Ji; Kyo-Jin Koo; Chang-Taek Hyun. 2011. "Development of Safety Management Index for Contractor Assessment in Bidding Process." Korean Journal of Construction Engineering and Management 12, no. 6: 3-13.

Journal article
Published: 27 May 2011 in Journal of Construction Engineering and Project Management
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ACS Style

Chang-Taek Hyun; Tae-Hoon Hong; Soung-Min Ji; Jun-Hyeok Yu; Soo-Bae An. The Development of Probabilistic Time and Cost Data: Focus on field conditions and labor productivity. Journal of Construction Engineering and Project Management 2011, 1, 37 -43.

AMA Style

Chang-Taek Hyun, Tae-Hoon Hong, Soung-Min Ji, Jun-Hyeok Yu, Soo-Bae An. The Development of Probabilistic Time and Cost Data: Focus on field conditions and labor productivity. Journal of Construction Engineering and Project Management. 2011; 1 (1):37-43.

Chicago/Turabian Style

Chang-Taek Hyun; Tae-Hoon Hong; Soung-Min Ji; Jun-Hyeok Yu; Soo-Bae An. 2011. "The Development of Probabilistic Time and Cost Data: Focus on field conditions and labor productivity." Journal of Construction Engineering and Project Management 1, no. 1: 37-43.

Journal article
Published: 31 January 2011 in Korean Journal of Construction Engineering and Management
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ACS Style

Chang-Joon Shin; Yoon-Kyum Kim; Kyu-Man Cho; Chang-Taek Hyun; Tae-Hoon Hong. Development of Checklist to Prevent Claim through Dispute Case Analysis of Public Construction Projects. Korean Journal of Construction Engineering and Management 2011, 12, 13 -22.

AMA Style

Chang-Joon Shin, Yoon-Kyum Kim, Kyu-Man Cho, Chang-Taek Hyun, Tae-Hoon Hong. Development of Checklist to Prevent Claim through Dispute Case Analysis of Public Construction Projects. Korean Journal of Construction Engineering and Management. 2011; 12 (1):13-22.

Chicago/Turabian Style

Chang-Joon Shin; Yoon-Kyum Kim; Kyu-Man Cho; Chang-Taek Hyun; Tae-Hoon Hong. 2011. "Development of Checklist to Prevent Claim through Dispute Case Analysis of Public Construction Projects." Korean Journal of Construction Engineering and Management 12, no. 1: 13-22.

Journal article
Published: 31 July 2010 in Korean Journal of Construction Engineering and Management
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ACS Style

Bang-Sung Kwon; Tae-Hoon Hong; Chang-Taek Hyun; Myung-Jin Chae. Development of Performance Indicators for Asset Management in Public Facilities. Korean Journal of Construction Engineering and Management 2010, 11, 89 -99.

AMA Style

Bang-Sung Kwon, Tae-Hoon Hong, Chang-Taek Hyun, Myung-Jin Chae. Development of Performance Indicators for Asset Management in Public Facilities. Korean Journal of Construction Engineering and Management. 2010; 11 (4):89-99.

Chicago/Turabian Style

Bang-Sung Kwon; Tae-Hoon Hong; Chang-Taek Hyun; Myung-Jin Chae. 2010. "Development of Performance Indicators for Asset Management in Public Facilities." Korean Journal of Construction Engineering and Management 11, no. 4: 89-99.

Journal article
Published: 30 June 2010 in International Journal of Strategic Property Management
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Decision making at the early stages of a construction project has a significant impact on the project, and various scenarios created based on the owner's requirements should be considered for the decision making. At the early stages of a construction project, the information regarding the project is usually limited and uncertain. As such, it is difficult to plan and manage the project (especially cost planning). Thus, a cost model that could be varied according to the owner's requirements was developed. The cost model that was developed in this study is based on the case‐based reasoning (CBR) methodology. The model suggests cost estimation with the most similar historical case as a basis for the estimation. In this study, the optimization process was also conducted, using genetic algorithms that reflect the changes in the number of project characteristics and in the database of the model according to the owner's decision making. Two optimization parameters were established: (1) the minimum criteria for scoring attribute similarity (MCAS); and (2) the range of attribute weights (RAW). The cost model proposed in this study can help building owners and managers estimate the project budget at the business planning stage. Santruka Sprendimu priemimas ankstyvuoju statybos projekto etapu turi didele itaka projektui ir ivairiems scenarijams, remiantis savininko reikalavimais, kuriu turi būti laikomasi priimant sprendimus. Ankstyvaisiais statybos projekto etapais informacijos apie projekta paprastai yra nedaug ir ji nera patikima. Del to sudetinga planuoti ir taisyti projekta (ypač išlaidu planavima). Todel šio tyrimo metu buvo sukurtas kainos modelis, kuris galetu būti keičiamas atsižvelgiant i savininko poreikius. Kainos modelis, kuris buvo sukurtas šio tyrimo metu, remiasi atveju analize, pagrista argumentu metodika (angl. CBR). Modelis siūlo samatinius skaičiavimus su panašiausiais ankstesniais atvejais, kurie yra skaičiavimo pagrindas. Šio tyrimo metu procesas buvo optimizuotas naudojant genetinius algoritmus, rodančius projektu skaičiaus kitima tam tikro modelio duomenu bazeje pagal savininko priimamus sprendimus. Buvo nustatyti du optimizavimo parametrai: 1) minimalūs kriterijai veiksniu panašumui ivertinti (angl. MCAS); 2) veiksniu svoriu vertinimo intervalas (angl. RAW). Kainos modelis, pasiūlytas šiame tyrime, gali padeti pastatu savininkams ir valdytojams ivertinti projekto biudžeta verslo planavimo etape.

ACS Style

Choong-Wan Koo; Taehoon Hong; Chang-Taek Hyun; Sang H. Park; Joon-Oh Seo. A STUDY ON THE DEVELOPMENT OF A COST MODEL BASED ON THE OWNER'S DECISION MAKING AT THE EARLY STAGES OF A CONSTRUCTION PROJECT. International Journal of Strategic Property Management 2010, 14, 121 -137.

AMA Style

Choong-Wan Koo, Taehoon Hong, Chang-Taek Hyun, Sang H. Park, Joon-Oh Seo. A STUDY ON THE DEVELOPMENT OF A COST MODEL BASED ON THE OWNER'S DECISION MAKING AT THE EARLY STAGES OF A CONSTRUCTION PROJECT. International Journal of Strategic Property Management. 2010; 14 (2):121-137.

Chicago/Turabian Style

Choong-Wan Koo; Taehoon Hong; Chang-Taek Hyun; Sang H. Park; Joon-Oh Seo. 2010. "A STUDY ON THE DEVELOPMENT OF A COST MODEL BASED ON THE OWNER'S DECISION MAKING AT THE EARLY STAGES OF A CONSTRUCTION PROJECT." International Journal of Strategic Property Management 14, no. 2: 121-137.