Construction and economics Research Institute of Korea

Seoul, South Korea

Construction and economics Research Institute of Korea

Seoul, South Korea
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Jang H.-S.,Seoul National University of Science and Technology | Choi S.-I.,Construction and economics Research Institute of Korea | Kim W.-Y.,Construction and economics Research Institute of Korea | Chang C.-K.,Hannam University
KSCE Journal of Civil Engineering | Year: 2012

The South Korean economy is now focusing on Green Growth as a key development strategy. In terms of structural conversion, Green Growth can be summarized as converting the nation's industrial structures into eco-friendly environments with reduced carbon dioxide production, while keeping its growth pace by employing innovative technologies. The construction industry, as with other industries, must be prepared for the Green Growth policy, which calls for a strategic approach and should result in significant benefits-not only for the environment but for the economy, as well. Accordingly, this study analyzes the strategic value of 15 cutting-edge green construction technologies and suggests the strategic plans (for both government and private enterprise) for the promotion of green construction. It also analyzes recent international trends in green construction. Green Growth is summarized as the national growth strategy to enhance the quality of life as a whole by converting not only the lifestyle but the Korean national economic and industrial structures into the low carbon and eco-friendly environments. Green Growth industries, with low carbon as the momentum for new growth, base themselves in green technologies including renewable energy technologies, energy and resource efficient technologies, convergence technologies that reduce the environmental pollution. The construction industry, along with other industries, is in a position to play a key role and secure cooperation between government and industry to meet environmental and economic challenges with Green Growth. Accordingly, this study analyzes recent trends of overseas green construction and presents responsive plans for both government and private enterprise for the implementation of green construction by selecting 15 construction sectors and analyzing their progress and green strategies in the Korean market. © 2012 Korean Society of Civil Engineers and Springer-Verlag Berlin Heidelberg.


Kim H.,California Polytechnic State University, San Luis Obispo | Stumpf A.,U.S. Army | Kim W.,Construction and economics Research Institute of Korea
Automation in Construction | Year: 2011

Incorporating energy efficiency and sustainable green design features into new/existing buildings has become a top priority in recent years for building owners, designers, contractors, and facility managers. This paper intends to address why delivery of an energy efficient building is not just the result of applying one or more isolated technologies. Rather, it can best be obtained using an integrated whole building process throughout the entire project development process, which leads building designers to generate a large amount of data during energy simulations. The authors observed that even a simple energy modeling run generated pages of data with many different variables. The volumes of energy modeling data clearly overwhelm traditional data analysis methods such as spreadsheets and ad-hoc queries with so many factors to be considered. An integrated or whole building design process involves studies of the energy-related impacts and interactions of all building components, including the building location, envelope (walls, windows, doors, and roof), heating, ventilation and air conditioning (HVAC) system, lighting, controls, and equipment, which shows why it is so difficult to find the correlation between different systems. The objective of this research is to develop an energy efficient building design process using data mining technology which can help project teams discover important patterns to improve the building design. This paper utilizes the data mining technology to extract interrelationships and patterns of interest from a large dataset. Case study revealed that data mining based energy modeling help project teams discover useful patterns to improve the energy efficiency of building design during the design phase. The method developed during this research could be used to guide designers and engineers through the process of completing an early design energy analysis based on energy simulation models. © 2010 Elsevier B.V. All rights reserved.


Park M.,Seoul National University | Kim W.-Y.,Construction and economics Research Institute of Korea | Lee H.-S.,Seoul National University | Han S.,University of New South Wales
Automation in Construction | Year: 2011

Supplying ready mixed concrete (RMC) in both a timely and cost-effective manner has been a particular challenge for RMC suppliers. To address this issue, a dynamic simulation model is developed using system dynamics. This model represents the generic RMC operation process and can customize its structure and parameters for different operational conditions. Through model simulation, the RMC supply process is analyzed, focusing on the tradeoff between the truck mixer dispatching interval and queuing time on-site. The research findings indicate that the model-generated information helps in achieving an economical RMC supply by maintaining the number of queuing truck mixers at the desired level, while satisfying the contractor's need. Ultimately, this dynamic model could potentially be used as an effective automated tool to assist RMC suppliers in supply planning. © 2010 Elsevier B.V. All rights reserved.


Park H.,Construction and economics Research Institute of Korea | Ting S.H.,Royal Haskoning | Jeong H.D.,Iowa State University
Journal of Pipeline Systems Engineering and Practice | Year: 2016

Reliable prediction of asset condition and its likelihood of failure is one of the core requirements for a utility to establish effective asset management strategies for optimized maintenance, rehabilitation, and replacement plans. Although there have been many research efforts in academia to predict the failure of pipe assets, many utilities across the United States still find it challenging to effectively predict the likelihood of failure (LOF) of their pipeline assets. Most of them still use subjective scales and rely on engineers' anecdotal experience and judgments. This study developed a holistic procedural framework that utilities can follow to develop a data driven LOF prediction model of their pipeline assets. The unique contribution of this paper is that the framework addresses issues that a utility will encounter from data collection and data organization to LOF prediction model development, and discusses possible solutions as well. Historical performance records of sewer pipes from a major city were used to demonstrate and validate the framework. The procedural framework developed in this study is anticipated to facilitate and accelerate the practical use of advanced data-driven methods for underground pipeline asset management, which will result in more reliable and high-quality investment decisions. As a derivative of the case study, the study also found that different lengths of sewer pipes actually do change the expected life of a sewer pipe, which indicates that most of the previous deterioration models for sewer pipes without consideration of pipe length may be seriously flawed. © 2015 American Society of Civil Engineers.


Kang S.,Construction and economics Research Institute of Korea | Kang S.,Hanyang University | Kang S.,University of California at Berkeley | Seo J.,Hanyang University
Journal of Construction Engineering and Management | Year: 2013

This study presents a geographic information system (GIS)-based method for determining the optimal layout of a haul route for large earthmoving projects. The methodology focuses on the use of cost distance measurements to implement a least-cost path analysis to calculate the route with the shortest weighted distance between cut and fill areas. Various factors such as truck speed, construction costs, and land use that affect haul road layout are investigated. Linear interpolations based on linguistic evaluations of experienced field experts are utilized to quantify the factors. An earthmoving project from a large-scale dam construction was used as a case study to verify the applicability of the proposed method, and the route produced with the new method was compared to real road design data. The results showed the potential of the method as a practical approach to determining the optimal haul route for earthmoving. © 2013 American Society of Civil Engineers.


Jung S.,Hanyang University | Jang K.,Korea Advanced Institute of Science and Technology | Yoon Y.,Korea Advanced Institute of Science and Technology | Kang S.,Construction and economics Research Institute of Korea
Journal of Safety Research | Year: 2014

Introduction: This study combined vehicle to vehicle crash frequency and severity estimations to examine factor impacts on Wisconsin highway safety in rainy weather. Method: Because of data deficiency, the real-time water film depth, the car-following distance, and the vertical curve grade were estimated with available data sources and a GIS analysis to capture rainy weather conditions at the crash location and time. Using a negative binomial regression for crash frequency estimation, the average annual daily traffic per lane, the interaction between the posted speed limit change and the existence of an off-ramp, and the interaction between the travel lane number change and the pavement surface material change were found to increase the likelihood of vehicle to vehicle crashes under rainfall. Results: However, more average daily rainfall per month and a wider left shoulder were identified as factors that decrease the likelihood of vehicle to vehicle crashes. In the crash severity estimation using the multinomial logit model that outperformed the ordered logit model, the travel lane number, the interaction between the travel lane number and the slow grade, the deep water film, and the rear-end collision type were more likely to increase the likelihood of injury crashes under rainfall compared with crashes involving only property damage. Practical implications: As an exploratory data analysis, this study provides insight into potential strategies for rainy weather highway safety improvement, specifically, the following weather-sensitive strategies: road design and ITS implementation for drivers' safety awareness under rainfall. © 2014 Elsevier Ltd.


PubMed | Construction and economics Research Institute of Korea, Hanyang University and Korea Advanced Institute of Science and Technology
Type: | Journal: Journal of safety research | Year: 2014

This study combined vehicle to vehicle crash frequency and severity estimations to examine factor impacts on Wisconsin highway safety in rainy weather.Because of data deficiency, the real-time water film depth, the car-following distance, and the vertical curve grade were estimated with available data sources and a GIS analysis to capture rainy weather conditions at the crash location and time. Using a negative binomial regression for crash frequency estimation, the average annual daily traffic per lane, the interaction between the posted speed limit change and the existence of an off-ramp, and the interaction between the travel lane number change and the pavement surface material change were found to increase the likelihood of vehicle to vehicle crashes under rainfall.However, more average daily rainfall per month and a wider left shoulder were identified as factors that decrease the likelihood of vehicle to vehicle crashes. In the crash severity estimation using the multinomial logit model that outperformed the ordered logit model, the travel lane number, the interaction between the travel lane number and the slow grade, the deep water film, and the rear-end collision type were more likely to increase the likelihood of injury crashes under rainfall compared with crashes involving only property damage.As an exploratory data analysis, this study provides insight into potential strategies for rainy weather highway safety improvement, specifically, the following weather-sensitive strategies: road design and ITS implementation for drivers safety awareness under rainfall.


Bigham J.M.,Construction and economics Research Institute of Korea | Kang S.,Construction and economics Research Institute of Korea
URISA Journal | Year: 2013

To manage events associated with highways, data systems have been developed to store relevant event information. To reap the full benefits of geographic information system technologies, the relative locations can be integrated into a linear referencing system. The objective of this paper is to present a methodology for building a highway linear referencing system by applying preexisting marker measurements to a digital street network. The system was developed for locating motor vehicle collisions in California and resulted in improved accuracy compared to a previously developed system. Nearly 50 percent of the relative collision locations based on the two different systems were within one meter of each other, but 4.1 percent were greater than 1,000 meters. Differences in collision locations were likely because of improved accuracy for (1) an increased number of reference markers were used, (2) all route realignments were accounted for, and (3) all previously identified errors were corrected.


Han S.H.,Yonsei University | Kim D.Y.,Yonsei University | Jang H.S.,Construction and economics Research Institute of Korea | Choi S.,Yonsei University
Habitat International | Year: 2010

Over the last decade, the international construction industry has changed drastically in many ways, including: the terms of competition rules and delivery systems for the selection of contractors, financial resource diversity, leading contractors in the revenue rankings, the key products and new emerging markets. This paper investigates the important changes for global contractors through various documentation analyses as well as in-depth interviews with 80 industry experts. This paper then analyzes the common strategies and lessons obtained from the cases of leading global contractors that have sustained their growth in the competitive global construction during the last decade. It was found that those firms were quite proactive and responsive to changing markets by increasing their overseas revenues and enhancing their competency through more diversified products in order to stabilize their revenue structure. In addition, they significantly increased their upstream/downstream functional capabilities; hence becoming more competent service providers, able to grow in these rapidly changing market conditions. © 2009 Elsevier Ltd. All rights reserved.


Park C.S.,Chung - Ang University | Jang H.S.,National School of Architecture | Choi S.I.,Construction and economics Research Institute of Korea | Cho H.C.,Chung - Ang University
Journal of Asian Architecture and Building Engineering | Year: 2010

The dynamic nature of the construction industry, rapidly changing global market environments, and lowest cost competitive bidding make it difficult to survive in global construction markets. To understand global construction markets and find success factors regarding a firm's growth, this study was conducted to develop basic data related to establishing future business strategies for Korean firms by analyzing their current business strategies as well as other advanced firms in the global construction market. To select construction companies for a case analysis, construction firms listed in the ''Top 225 Global Contractors'' from Engineering News-Record from 1995 to 2007 were reviewed. The model of change of business structures was examined by selecting and classifying such firms using two analysis standards in terms of the size of revenues and competitors. It was found that those firms were proactive and responsive to changing markets by increasing their overseas revenues and enhancing their competency through more diversified products in order to stabilize their revenue structure.

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