Junseo Bae

Junseo Bae
University of the West of Scotland | UWS · School of Engineering

PhD

About

44
Publications
3,518
Reads
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231
Citations
Introduction
Junseo is a Lecturer (equivalent to Assistant Professor in the American system) in the School of Computing, Engineering and Physical Sciences at the University of the West of Scotland.

Publications

Publications (44)
Article
As building systems have become more complex, selecting an efficient system for finding the optimal solution in the construction of high-rise building structures has become crucial. To obtain more optimized design solutions and reduce the waste caused by the rework that frequently occurs in Point-based Design (PBD) procedure, Set-based Design (SBD)...
Article
In recent decades, the use of Reinforced Concrete (RC) structures such as conventional RC structures, flat plate structures, ribbed slabs, waffle slabs, etc. has become common in residential apartment buildings and mixed-use buildings in the Far East, South East, Middle East, and around the world. Numerous experts work together for the design, cons...
Article
Full-text available
Impact assessments of highway construction work zones (CWZs) are mandated for all federally funded highway infrastructure improvement projects. However, most existing approaches are ad hoc or project specific, so they are incapable of being benchmarked for any particular spatial region. A novel multicontextual approach to modeling the traffic impac...
Article
Full-text available
Level-of-service has been widely used to measure the operational efficiency of existing highway systems categorically, based on certain ranges of traffic speeds. However, this existing method is generic for investigating urban traffic characteristics. Hence, there is a crucial knowledge gap in capturing the unique traffic speed conditions during a...
Article
Annual average daily traffic (AADT) is an essential parameter to evaluate the level of mobility in large urban corridors often affected by highway roadworks. However, very little is known about AADT calibration methods that can project the impact of highway roadworks. This study draws upon 13,152 data points collected from the M8 motorway in Scotla...
Article
Given trends in more frequent and severe natural disaster events, developing effective risk mitigation strategies is crucial to reduce negative economic impacts, due to the limited budget for rehabilitation. To address this need, this study aims to develop a strategic framework for natural disaster risk mitigation, highlighting two different strate...
Article
Full-text available
This study aims to generate a deep learning algorithm-based model for quantitative prediction of financial losses due to accidents occurring at apartment construction sites. Recently, the construction of apartment buildings is rapidly increasing to solve housing shortage caused by increasing urban density. However, high-rise and large-scale constru...
Preprint
Due to gradual increases in the frequency and severity of natural disasters, risks to human life and property from natural disasters are exploding. To reduce these risks, various risk mitigation activities have been widely conducted. Risk mitigation activities are becoming more and more important for economic analysis of risk mitigation effects due...
Article
It is well known that accurate and reliable maintenance and repair cost estimates are important to maintain a building in its optimal condition, especially during the operation and maintenance phase within the whole life cycle. However, due to emerging trends in buildings that are high-performance, large-scale, complex, and high rise, it is difficu...
Article
Contracting agencies must be able to offer incentive/disincentive (I/D) rates greater than the builder’s added cost (BAC) of acceleration. Doing so encourages qualified contractors to bid on projects. Most agencies determine I/D amounts either by road user cost (RUC) or as a percentage of the total project cost. Estimating I/D rates that will motiv...
Article
Full-text available
Given the highly visible nature, transportation infrastructure construction projects are often exposed to numerous unexpected events, compared to other types of construction projects. Despite the importance of predicting financial losses caused by risk, it is still difficult to determine which risk factors are generally critical and when these risk...
Article
Full-text available
This study goals to develop a model for predicting financial loss at construction sites using a deep learning algorithm to reduce and prevent the risk of financial loss at construction sites. Lately, as the construction of high-rise buildings and complex buildings increases and the scale of construction sites surges, the severity and frequency of a...
Article
Full-text available
Educational facilities hold a higher degree of uncertainty in predicting maintenance and repair costs than other types of facilities. Moreover, achieving accurate and reliable maintenance and repair costs is essential, yet very little is known about a holistic approach to learning them by incorporating multi-contextual factors that affect maintenan...
Article
Full-text available
Tunnel construction, a common byproduct of rapid economic growth and transportation-system development, carries inherent risks to life and various kinds of property that operations and management professionals must take into account. Due to various and complicated geological conditions, tunnel construction projects can produce unexpected collapses,...
Article
Incentive/disincentive (I/D) and cost-plus-time (A+B) are two of the most widely used alternative contracting methods (ACMs) for accelerating the construction of highway infrastructure improvement projects. However, little is known about the effects of trade-offs in terms of project schedule and cost performance. This study addresses this problem b...
Article
Use of sensor data has been increasingly common in recent years, yet there is still a knowledge gap in evaluating the precision of traffic sensor data being used in traffic analyses for developing a transportation management plan. This paper fills this gap by exploring a new approach to evaluating the level of precision of large-scale traffic senso...
Article
Full-text available
There are many risks and uncertainties in plant construction projects, because of their complexity, difficulty in loss prediction and size of construction being large. The risk management of such plant construction projects should not be relied solely on the experiences and intuition of the contractors or the construction managers as it has been in...
Article
Full-text available
The purpose of this study is to suggest a quantitative risk assessment approach for construction sites using risk indicators to predict economic damages. The frequency of damage in building construction has recently increased, and the associated costs have been increased as well. Although a request for a damage estimation model has been extended, t...
Conference Paper
Many construction accidents result from workers’ unsafe behaviors, and evidence demonstrates that individuals who consistently engage in risky behaviors often have a high rate of accidents. These risk-prone workers’ biased evaluation of hazards (risk perception) and high tendency to take risks (risk propensity) leave them insufficiently prepared wh...
Article
Full-text available
The importance of energy efficiency investment has grown substantially in recent decades, although research into the decision-making processes under energy saving uncertainties has been fairly limited. The main objective of this study is to create and test a multicriteria risk-based decision-support model for investment in energy efficiency project...
Thesis
Accurate Construction Work Zone (CWZ) impact assessments of unprecedented travel inconvenience to the general public are required for all federally-funded highway infrastructure improvement projects. These assessments are critical, but they are also very difficult to perform. Most existing prediction approaches are project-specific, shortterm, and...
Conference Paper
Impact assessments of highway construction work zones (CWZ) are mandated for all federally- funded highway infrastructure improvement projects. However, most existing approaches are ad- hoc or project-specific, thus incapable of being benchmarked for any particular spatial region. A novel multi-contextual approach to modeling the traffic impact of...
Article
Life-cycle cost analysis (LCCA) has grown in importance, yet it is also regarded as a daunting task, because of the lack of reliable analytical models specifically aimed at quantifying future maintenance costs (FMC). The key objectives of this study are to identify the most critical factors that affect pavement performance, create a FMC predictive...
Article
Accelerated contract provisions (ACPs) such as cost-plus-time (A+B) and incentives/disincentives (I/D) are increasingly common, yet very little is known about their pure time-cost performance effects on change orders. To fill this large knowledge gap, a two-stage research methodology drawing on 1,372 highway improvement projects completed in Califo...
Thesis
Economical efficiency considering optimal material supply chain based on pertinent structural design has been served as one of key factors in the Architecture, Engineering, and Construction (AEC) industries as the shape of buildings has become more complex, taller, and larger. The use of flat plate systems, one of the preferable slab systems for hi...
Article
Structural optimization is widely adopted in the design of structures with the development of computer aided design (CAD) and the development of computer technique recently. By applying the artificial neural network to structural optimization, designers can gain the design scheme of structures more feasibly and easily. In this paper, the genetic al...

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