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Construction disputes are one of the main challenges to successful construction projects. Most construction parties experience claims—and even worse, disputes—which are costly and time-consuming to resolve. Lessons learned from past failure cases can help reduce potential future risk factors that likely lead to disputes. In particular, case law, which has been accumulated from the past, is valuable information, providing useful insights to prepare for future disputes. However, few efforts have been made to discover legal knowledge using a large scale of case laws in the construction field. The aim of this paper is to enhance understanding of the multifaceted legal issues surrounding construction adjudication using large amounts of accumulated construction legal cases. This goal is achieved by exploring dispute-related contract terms and conditions that affect judicial decisions based on their verdicts. This study builds on text mining methods to examine what type of contract conditions are frequently referenced in the final decision of each dispute. Various text mining techniques are leveraged for knowledge discovery (i.e., analyzing frequent terms, discovering pairwise correlations, and identifying potential topics) in text-heavy data. The findings show that (1) similar patterns of disputes have occurred repeatedly in construction-related legal cases and (2) the discovered dispute topics indicate that mutually agreed upon contract terms and conditions are import in dispute resolution.
Jeehee Lee; Youngjib Ham; June-Seong Yi. Construction Disputes and Associated Contractual Knowledge Discovery Using Unstructured Text-Heavy Data: Legal Cases in the United Kingdom. Sustainability 2021, 13, 9403 .
AMA StyleJeehee Lee, Youngjib Ham, June-Seong Yi. Construction Disputes and Associated Contractual Knowledge Discovery Using Unstructured Text-Heavy Data: Legal Cases in the United Kingdom. Sustainability. 2021; 13 (16):9403.
Chicago/Turabian StyleJeehee Lee; Youngjib Ham; June-Seong Yi. 2021. "Construction Disputes and Associated Contractual Knowledge Discovery Using Unstructured Text-Heavy Data: Legal Cases in the United Kingdom." Sustainability 13, no. 16: 9403.
The purpose of this study is to classify the bid price volatility level with machine learning and parameters from bid documents as risk factors. To this end, we studied project-oriented risk factors affecting the bid price and pre-bid clarification document as the uncertainty of bid documents through preliminary research. The authors collected Caltrans’s bid summary and pre-bid clarification document from 2011–2018 as data samples. To train the classification model, the data were preprocessed to create a final dataset of 269 projects consisting of input and output parameters. The projects in which the bid inquiries were not resolved in the pre-bid clarification had higher bid averages and bid ranges than the risk-resolved projects. Besides this, regarding the two classification models with neural network (NN) algorithms, Model 2, which included the uncertainty in the bid documents as a parameter, predicted the bid average risk and bid range risk more accurately (52.5% and 72.5%, respectively) than Model 1 (26.4% and 23.3%, respectively). The accuracy of Model 2 was verified with 40 verification test datasets.
Yeeun Jang; Jeongwook Son; June-Seong Yi. Classifying the Level of Bid Price Volatility Based on Machine Learning with Parameters from Bid Documents as Risk Factors. Sustainability 2021, 13, 3886 .
AMA StyleYeeun Jang, Jeongwook Son, June-Seong Yi. Classifying the Level of Bid Price Volatility Based on Machine Learning with Parameters from Bid Documents as Risk Factors. Sustainability. 2021; 13 (7):3886.
Chicago/Turabian StyleYeeun Jang; Jeongwook Son; June-Seong Yi. 2021. "Classifying the Level of Bid Price Volatility Based on Machine Learning with Parameters from Bid Documents as Risk Factors." Sustainability 13, no. 7: 3886.
To alleviate the burden of high residential costs for the younger population, the Korean government has recently implemented a public rental housing program for those who are vulnerable in their residential conditions and endure low quality of life. This program is not yet fully effective in achieving its policy aim because of lengthy construction periods and consistent vacancies (despite high demand). To address this issue, policy guidelines are sought. This study comprehensively models supply and demand of public rental housing and analyzes the effects of diverse policies on the rental housing system behaviour. To represent the rental housing system, system dynamics is applied which consists of continuous simulation based on causal relationships among variables encompassing their time-lagged effects (and in which system variables are highly interdependent). By testing the effects of policy variables of public rental housing delivery strategies upon the system, the developed model provides an in-depth understanding of policy impacts towards achieving a desired policy objective (in this case to accommodate more public rental housing demands by minimizing vacancy rates). The results provide guidelines for developing detailed policies for more efficient public rental housing project delivery, which can contribute to alleviating the residential problems of the younger population.
Sungjoo Hwang; Jeehee Lee; June-Seong Yi; Mingyeong Kim. Korean public rental housing for residential stability of the younger population: analysis of policy impacts using system dynamics. Journal of Asian Architecture and Building Engineering 2019, 18, 180 -189.
AMA StyleSungjoo Hwang, Jeehee Lee, June-Seong Yi, Mingyeong Kim. Korean public rental housing for residential stability of the younger population: analysis of policy impacts using system dynamics. Journal of Asian Architecture and Building Engineering. 2019; 18 (3):180-189.
Chicago/Turabian StyleSungjoo Hwang; Jeehee Lee; June-Seong Yi; Mingyeong Kim. 2019. "Korean public rental housing for residential stability of the younger population: analysis of policy impacts using system dynamics." Journal of Asian Architecture and Building Engineering 18, no. 3: 180-189.
As construction projects have significantly increased in size and become more complicated, the number of claims and dispute cases between participating parties during the construction work have been continuously increasing. To prevent such claims and disputes, the participants need to be assured of their contractual positions and rights based on contract facts. For this reason, the process of writing and reviewing the contracts for construction work is crucial. Most international construction projects require contract management teams to review all the possible risks in the contracts during the bidding periods. However, it is very difficult to review a vast number of contracts in a short period of time. Therefore, in this study, we proposed an automatic model of contract-risk extraction based on natural language processing (NLP) that can automatically detect the poisonous clauses of the contract in order to support contract management for construction companies (contractors). In validating the performance of the automatic model developed in this study, we found that the precision and recall were both 81.8% compared with manual review. This study is meaningful since a model has been developed that can carry out a preemptive contract-risk review.
Jeehee Lee; June-Seong Yi; Jeongwook Son. Development of Automatic-Extraction Model of Poisonous Clauses in International Construction Contracts Using Rule-Based NLP. Journal of Computing in Civil Engineering 2019, 33, 04019003 .
AMA StyleJeehee Lee, June-Seong Yi, Jeongwook Son. Development of Automatic-Extraction Model of Poisonous Clauses in International Construction Contracts Using Rule-Based NLP. Journal of Computing in Civil Engineering. 2019; 33 (3):04019003.
Chicago/Turabian StyleJeehee Lee; June-Seong Yi; Jeongwook Son. 2019. "Development of Automatic-Extraction Model of Poisonous Clauses in International Construction Contracts Using Rule-Based NLP." Journal of Computing in Civil Engineering 33, no. 3: 04019003.
The construction bidding process takes place in the early stages of a construction project. The bidding process involves many uncertainties since the construction risk factors are predicted and reflected in the bid price before construction commences. Therefore, bidders should thoroughly understand the uncertainty factors of the project before make bidding decisions. The uncertainty risk of construction projects is determined by the content that is contained in the bidding document. If the information provided in the bidding document is not accurate and is unclear, the uncertainty of the projects increases. Thus, this study is performed to predict risks in the bidding process of construction projects by analyzing the uncertainty of the bidding document and using it as factors to predict a project’s bidding risk. To achieve this, bidding risk prediction modeling was conducted using the pre-bid clarification information of each project. In addition, text mining on pre-bid RFI documents, which are in an unstructured text data format, was performed and the results of text mining were used as major influencing factors for the risk prediction models. As a result, the accuracy of the risk prediction model including text data was improved (72.92%) when compared to the prediction model using only numeric data (52.08%). The results of this study are expected to strengthen the possibility of further similar studies in the future since it enhances the predictive accuracy by incorporating the uncertainty of the bidding document, which is rarely considered in previous studies.
Jeehee Lee; June-Seong Yi. Predicting Project’s Uncertainty Risk in the Bidding Process by Integrating Unstructured Text Data and Structured Numerical Data Using Text Mining. Applied Sciences 2017, 7, 1141 .
AMA StyleJeehee Lee, June-Seong Yi. Predicting Project’s Uncertainty Risk in the Bidding Process by Integrating Unstructured Text Data and Structured Numerical Data Using Text Mining. Applied Sciences. 2017; 7 (11):1141.
Chicago/Turabian StyleJeehee Lee; June-Seong Yi. 2017. "Predicting Project’s Uncertainty Risk in the Bidding Process by Integrating Unstructured Text Data and Structured Numerical Data Using Text Mining." Applied Sciences 7, no. 11: 1141.
Many construction firms have promoted diversification as an important growth strategy. However, previous studies on diversification performance show conflicting results on the correlation between diversification and business performance. Although this is partly because of the different theoretical perspectives of researchers, it is mainly derived from the differences between the various industries and their market environments. Thus, this study considers the influencing factors, such as construction market environment, company size, and business segment, which affect the relationship between diversification and business performance to analyze the relationship between international business diversification and the business performance of international contractors. Based on the data released in the Engineering News Record and financial reports, varied statistical exploration including correlation and clustering analysis were performed to derive effective strategies grounded in the relationship between diversification level and business performance. According to the analysis results, the international business diversification levels showed a clear positive correlation with sales revenue, whereas business diversification, profit margin, and current ratio did not show a strong correlation; rather, a higher level of diversification tended to weaken the profit margin and current ratio. From the result showing the correlation between diversification and business performance derived from the clustering analysis, it was found that although diversification is essential to facilitate growth in the size of the company, it can reduce the profitability and stability of a diversified company. Ultimately, this study will provide appropriate and effective business strategy guidelines for international contractors endeavoring to expand their international markets.
Yoo-Kyung Sung; Jeehee Lee; June-Seong Yi; Jeongwook Son. Establishment of Growth Strategies for International Construction Firms by Exploring Diversification-Related Determinants and Their Effects. Journal of Management in Engineering 2017, 33, 04017018 .
AMA StyleYoo-Kyung Sung, Jeehee Lee, June-Seong Yi, Jeongwook Son. Establishment of Growth Strategies for International Construction Firms by Exploring Diversification-Related Determinants and Their Effects. Journal of Management in Engineering. 2017; 33 (5):04017018.
Chicago/Turabian StyleYoo-Kyung Sung; Jeehee Lee; June-Seong Yi; Jeongwook Son. 2017. "Establishment of Growth Strategies for International Construction Firms by Exploring Diversification-Related Determinants and Their Effects." Journal of Management in Engineering 33, no. 5: 04017018.
June-Seong Yi; Yong-Woo Kim; Ji Youn Lim; Jeehee Lee. Activity-based life cycle analysis of a curtain wall supply for reducing its environmental impact. Energy and Buildings 2017, 138, 69 -79.
AMA StyleJune-Seong Yi, Yong-Woo Kim, Ji Youn Lim, Jeehee Lee. Activity-based life cycle analysis of a curtain wall supply for reducing its environmental impact. Energy and Buildings. 2017; 138 ():69-79.
Chicago/Turabian StyleJune-Seong Yi; Yong-Woo Kim; Ji Youn Lim; Jeehee Lee. 2017. "Activity-based life cycle analysis of a curtain wall supply for reducing its environmental impact." Energy and Buildings 138, no. : 69-79.
Traditional construction planning, which depends on historical data and heuristic modification, prevents the integration of managerial details such as productivity dynamics. Specifically, the distance between planning and execution brings cost overruns and duration extensions. To minimize variations, this research presents a Building Information Modeling (BIM)-integrated simulation framework for predicting productivity dynamics at the construction planning phase. To develop this framework, we examined critical factors affecting productivity at the operational level, and then forecast the productivity dynamics. The resulting plan includes specific commands for retrieving the required information from BIM and executing operation simulations. It consists of the following steps: (1) preparing a BIM model to produce input data; (2) composing a construction simulation at the operational level; and (3) obtaining productivity dynamics from the BIM-integrated simulation. To validate our framework, we applied it to a structural steel model; this was due to the significance of steel erections. By integrating BIM with construction operation simulations, we were able to create reliable construction plans that adapted to project changes. Our results show that the developed framework facilitates the reliable prediction of productivity dynamics, and can contribute to improved schedule reliability, optimized resource allocation, cost savings associated with buffers, and reduced material waste.
Woonseong Jeong; Soowon Chang; Jeongwook Son; June-Seong Yi. BIM-Integrated Construction Operation Simulation for Just-In-Time Production Management. Sustainability 2016, 8, 1106 .
AMA StyleWoonseong Jeong, Soowon Chang, Jeongwook Son, June-Seong Yi. BIM-Integrated Construction Operation Simulation for Just-In-Time Production Management. Sustainability. 2016; 8 (11):1106.
Chicago/Turabian StyleWoonseong Jeong; Soowon Chang; Jeongwook Son; June-Seong Yi. 2016. "BIM-Integrated Construction Operation Simulation for Just-In-Time Production Management." Sustainability 8, no. 11: 1106.
So-Jung Lee; June-Seong Yi; Jee Hee Lee; Jeong Wook Son. An Economic Evaluation on applying EIFS to Residential Building Remodeling for Energy Performance Enhancement. Journal of the Architectural Institute of Korea Structure & Construction 2016, 32, 53 -60.
AMA StyleSo-Jung Lee, June-Seong Yi, Jee Hee Lee, Jeong Wook Son. An Economic Evaluation on applying EIFS to Residential Building Remodeling for Energy Performance Enhancement. Journal of the Architectural Institute of Korea Structure & Construction. 2016; 32 (5):53-60.
Chicago/Turabian StyleSo-Jung Lee; June-Seong Yi; Jee Hee Lee; Jeong Wook Son. 2016. "An Economic Evaluation on applying EIFS to Residential Building Remodeling for Energy Performance Enhancement." Journal of the Architectural Institute of Korea Structure & Construction 32, no. 5: 53-60.
Unstructured Construction Data Analytics Using R Programming - Focused on Overseas Construction Adjudication Cases - Unstructured Data Analytics;Construction Adjudication Cases;Overseas Construction Disputes; As construction projects are getting complex, the amount of information in order for performing project has rapidly increased. Thus, high quality of data management technique, which can promote project's productivity and profitability, is now a big issue in construction industry. Especially, as the importance of construction claim and dispute management is emphasized data analysis based risk management is becoming an important topic. This study analyzed overseas construction adjudication cases based on unstructured data analytics as a way of claim and dispute management. In order to analysis on unstructured data, which is written in text data, NLP, IR and Text Mining technique was applied, and some of meaningful results could be derived. From the text analysis written in construction case law, some construction dispute type was classified; loss of profit, document notification, practical completion, clear terms of contract, and payment. This study conducted a meaningful attempt in construction dispute research aspect as suggests a methodology which can enhance the accessibility and availability of construction adjudication cases.
Jee-Hee Lee; June-Seong Yi; Jeongwook Son. Unstructured Construction Data Analytics Using R Programming - Focused on Overseas Construction Adjudication Cases -. Journal of the Architectural Institute of Korea Structure and Construction 2016, 32, 37 -44.
AMA StyleJee-Hee Lee, June-Seong Yi, Jeongwook Son. Unstructured Construction Data Analytics Using R Programming - Focused on Overseas Construction Adjudication Cases -. Journal of the Architectural Institute of Korea Structure and Construction. 2016; 32 (5):37-44.
Chicago/Turabian StyleJee-Hee Lee; June-Seong Yi; Jeongwook Son. 2016. "Unstructured Construction Data Analytics Using R Programming - Focused on Overseas Construction Adjudication Cases -." Journal of the Architectural Institute of Korea Structure and Construction 32, no. 5: 37-44.
Jeehee Lee; Jeongwook Son; Woonseong Jeong; June-Seong Yi. An Economic Feasibility Analysis on the Movable Modular Lodging Buildings. Korean Journal of Construction Engineering and Management 2015, 16, 12 -20.
AMA StyleJeehee Lee, Jeongwook Son, Woonseong Jeong, June-Seong Yi. An Economic Feasibility Analysis on the Movable Modular Lodging Buildings. Korean Journal of Construction Engineering and Management. 2015; 16 (5):12-20.
Chicago/Turabian StyleJeehee Lee; Jeongwook Son; Woonseong Jeong; June-Seong Yi. 2015. "An Economic Feasibility Analysis on the Movable Modular Lodging Buildings." Korean Journal of Construction Engineering and Management 16, no. 5: 12-20.
Yoo-Kyung Sung; June-Seong Yi; Seok-In Choi. A Study of Correlation for Diversification and Growth of Global Contractors - Focusing on International Diversification and International Revenue -. Journal of the Architectural Institute of Korea Structure & Construction 2015, 31, 67 -74.
AMA StyleYoo-Kyung Sung, June-Seong Yi, Seok-In Choi. A Study of Correlation for Diversification and Growth of Global Contractors - Focusing on International Diversification and International Revenue -. Journal of the Architectural Institute of Korea Structure & Construction. 2015; 31 (6):67-74.
Chicago/Turabian StyleYoo-Kyung Sung; June-Seong Yi; Seok-In Choi. 2015. "A Study of Correlation for Diversification and Growth of Global Contractors - Focusing on International Diversification and International Revenue -." Journal of the Architectural Institute of Korea Structure & Construction 31, no. 6: 67-74.
Soowon Chang; June-Seong Yi; Jeongwook Son. The Productivity Improvement for Steel Framing Work Efficiency by Work Sampling and 5-minute Rating Technique. Journal of Construction Engineering and Project Management 2015, 5, 40 -46.
AMA StyleSoowon Chang, June-Seong Yi, Jeongwook Son. The Productivity Improvement for Steel Framing Work Efficiency by Work Sampling and 5-minute Rating Technique. Journal of Construction Engineering and Project Management. 2015; 5 (1):40-46.
Chicago/Turabian StyleSoowon Chang; June-Seong Yi; Jeongwook Son. 2015. "The Productivity Improvement for Steel Framing Work Efficiency by Work Sampling and 5-minute Rating Technique." Journal of Construction Engineering and Project Management 5, no. 1: 40-46.
Jeehee Lee; Kyuree Kim; Jeongwook Son; June-Seong Yi. A Comparative Study on the Life Cycle Cost of Wall Type Apartment and Beam-Column Structural Apartment. Korean Journal of Construction Engineering and Management 2014, 15, 35 -43.
AMA StyleJeehee Lee, Kyuree Kim, Jeongwook Son, June-Seong Yi. A Comparative Study on the Life Cycle Cost of Wall Type Apartment and Beam-Column Structural Apartment. Korean Journal of Construction Engineering and Management. 2014; 15 (6):35-43.
Chicago/Turabian StyleJeehee Lee; Kyuree Kim; Jeongwook Son; June-Seong Yi. 2014. "A Comparative Study on the Life Cycle Cost of Wall Type Apartment and Beam-Column Structural Apartment." Korean Journal of Construction Engineering and Management 15, no. 6: 35-43.
Jeongwook Son; Seung-Woo Shin; June-Seong Yi. Application of Serious Games for Effective Construction Safety Training. Korean Journal of Construction Engineering and Management 2014, 15, 20 -27.
AMA StyleJeongwook Son, Seung-Woo Shin, June-Seong Yi. Application of Serious Games for Effective Construction Safety Training. Korean Journal of Construction Engineering and Management. 2014; 15 (1):20-27.
Chicago/Turabian StyleJeongwook Son; Seung-Woo Shin; June-Seong Yi. 2014. "Application of Serious Games for Effective Construction Safety Training." Korean Journal of Construction Engineering and Management 15, no. 1: 20-27.
Jeongwook Son; Seung-Woo Shin; June-Seong Yi. Understanding Collaborative Working Processes within Construction Project Teams Using Agent-Based Modeling and Simulation. Korean Journal of Construction Engineering and Management 2014, 15, 70 -77.
AMA StyleJeongwook Son, Seung-Woo Shin, June-Seong Yi. Understanding Collaborative Working Processes within Construction Project Teams Using Agent-Based Modeling and Simulation. Korean Journal of Construction Engineering and Management. 2014; 15 (1):70-77.
Chicago/Turabian StyleJeongwook Son; Seung-Woo Shin; June-Seong Yi. 2014. "Understanding Collaborative Working Processes within Construction Project Teams Using Agent-Based Modeling and Simulation." Korean Journal of Construction Engineering and Management 15, no. 1: 70-77.
Dynamic and volatile characteristics are the most significant factors that distinguish the construction industry from other fields. Many researchers have endeavored to deal with uncertainty caused by the above factors, and significant outcomes have been obtained, owing to the innovative methodologies of data handling. With the help of powerful data processing, enormous information, which is effective in coping with uncertainty, could be gained. During the last three decades, the housing industry in Korea has boomed, resulting in huge data generation. More precise estimation is required at the initiative phase to support decision-making on the possibilities of realization of projects. For more accurate estimation, a Range Estimating Model based on time series analysis is developed and suggested. This paper is organized into three main sections. In the first section, unit prices of residential building projects turn out to be time-dependent, from analysis of the Durbin-Watson ratio. The second section explores i) analysis of stationarity, ii) model development, and iii) model validation and application. In this process, this paper suggests appropriate time series models, such as the ARIMA, and Monte Carlo Simulation using the predicted unit prices. In order to validate the proposed model, priced bills of quantities of 150 housing projects are analyzed, and the results of a t-test on relative accuracies indicates that the proposed model is more accurate than the conventional range estimating technique, using historical cost data, and ignoring price fluctuations.
Sung-Chul Park; June-Seong Yi; Kyo-Jin Koo; Bonsang Koo. A new approach to improving the responsiveness to price fluctuations of the range estimating model through autocorrelation time-series analysis. KSCE Journal of Civil Engineering 2013, 17, 301 -308.
AMA StyleSung-Chul Park, June-Seong Yi, Kyo-Jin Koo, Bonsang Koo. A new approach to improving the responsiveness to price fluctuations of the range estimating model through autocorrelation time-series analysis. KSCE Journal of Civil Engineering. 2013; 17 (2):301-308.
Chicago/Turabian StyleSung-Chul Park; June-Seong Yi; Kyo-Jin Koo; Bonsang Koo. 2013. "A new approach to improving the responsiveness to price fluctuations of the range estimating model through autocorrelation time-series analysis." KSCE Journal of Civil Engineering 17, no. 2: 301-308.
Changes in workforce demographics have led to the need for more sophisticated approaches to addressing the safety requirements of the construction industry. Despite extensive research in other industry domains, the construction industry has been passive in exploring the impact of a color scheme; perception-related accidents have been effectively diminished by its implementation. The research demonstrated that the use of appropriate color schemes could improve the actions and psychology of workers on site, thereby increasing their perceptions of potentially dangerous situations. As a preliminary study, the objects selected by rigorous analysis on accident reports were workwear, safety net, gondola, scaffolding, and safety passage. The colors modified on site for temporary facilities were adopted from existing theoretical and empirical research that suggests the use of certain colors and their combinations to improve visibility and conspicuity while minimizing work fatigue. The color schemes were also tested and confirmed through two workshops with workers and managers currently involved in actual projects. The impacts of color schemes suggested in this paper are summarized as follows. First, the color schemes improve the conspicuity of facilities with other on site components, enabling workers to quickly discern and orient themselves in their work environment. Secondly, the color schemes have been selected to minimize the visual work fatigue and monotony that can potentially increase accidents.
June-Seong Yi; Yong-Woo Kim; Ki-Aeng Kim; Bonsang Koo. A suggested color scheme for reducing perception-related accidents on construction work sites. Accident Analysis & Prevention 2012, 48, 185 -192.
AMA StyleJune-Seong Yi, Yong-Woo Kim, Ki-Aeng Kim, Bonsang Koo. A suggested color scheme for reducing perception-related accidents on construction work sites. Accident Analysis & Prevention. 2012; 48 ():185-192.
Chicago/Turabian StyleJune-Seong Yi; Yong-Woo Kim; Ki-Aeng Kim; Bonsang Koo. 2012. "A suggested color scheme for reducing perception-related accidents on construction work sites." Accident Analysis & Prevention 48, no. : 185-192.
Ji-Youn Lim; June-Seong Yi; Seung-Woo Shin; Jeong-Wook Son. Implementing Activity-based LCA Model for Carbon Dioxide Emission Analysis and Allocation of Environment Cost. Korean Journal of Construction Engineering and Management 2012, 13, 78 -88.
AMA StyleJi-Youn Lim, June-Seong Yi, Seung-Woo Shin, Jeong-Wook Son. Implementing Activity-based LCA Model for Carbon Dioxide Emission Analysis and Allocation of Environment Cost. Korean Journal of Construction Engineering and Management. 2012; 13 (4):78-88.
Chicago/Turabian StyleJi-Youn Lim; June-Seong Yi; Seung-Woo Shin; Jeong-Wook Son. 2012. "Implementing Activity-based LCA Model for Carbon Dioxide Emission Analysis and Allocation of Environment Cost." Korean Journal of Construction Engineering and Management 13, no. 4: 78-88.
Seung-Woo Shin; June-Seong Yi; Jee-Hee Lee; Kyung-Rog Park; Ji-Youn Lim. Development of Gateway Review System for Supporting Collaborative Decision-Making through Project Life Cycle. Korean Journal of Construction Engineering and Management 2010, 11, 43 -54.
AMA StyleSeung-Woo Shin, June-Seong Yi, Jee-Hee Lee, Kyung-Rog Park, Ji-Youn Lim. Development of Gateway Review System for Supporting Collaborative Decision-Making through Project Life Cycle. Korean Journal of Construction Engineering and Management. 2010; 11 (3):43-54.
Chicago/Turabian StyleSeung-Woo Shin; June-Seong Yi; Jee-Hee Lee; Kyung-Rog Park; Ji-Youn Lim. 2010. "Development of Gateway Review System for Supporting Collaborative Decision-Making through Project Life Cycle." Korean Journal of Construction Engineering and Management 11, no. 3: 43-54.