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This paper analyzed 19 precast concrete (PC) construction project cases from Korea using fuzzy-set qualitative comparative analysis to explore the relationship between the conditions of PC projects, observable at an early stage of the projects, and actual schedule delays. The following combinations of PC project conditions leading to schedule delays were identified: (1) the use of multiple types of PC components and nonuse of building information modeling (BIM) for schedule management; (2) PC construction included in the critical path, insufficient experience of the contractor in PC projects, and nonuse of BIM for schedule management; and (3) nonresidential building project, insufficient experience of the contractor in PC projects, and non-use of BIM for schedule management. To understand these findings more deeply, this research further investigated the relationships of the use of BIM with other schedule delay factors based on focus groups. The PC project schedule delay leading indicators identified in this research can help construction managers to mitigate schedule delay risks at an early stage in PC projects.
Kyeongwoon Cho; Seungjun Ahn; Kyungmo Park; Tae Wan Kim. Schedule Delay Leading Indicators in Precast Concrete Construction Projects: Qualitative Comparative Analysis of Korean Cases. Journal of Management in Engineering 2021, 37, 04021024 .
AMA StyleKyeongwoon Cho, Seungjun Ahn, Kyungmo Park, Tae Wan Kim. Schedule Delay Leading Indicators in Precast Concrete Construction Projects: Qualitative Comparative Analysis of Korean Cases. Journal of Management in Engineering. 2021; 37 (4):04021024.
Chicago/Turabian StyleKyeongwoon Cho; Seungjun Ahn; Kyungmo Park; Tae Wan Kim. 2021. "Schedule Delay Leading Indicators in Precast Concrete Construction Projects: Qualitative Comparative Analysis of Korean Cases." Journal of Management in Engineering 37, no. 4: 04021024.
The Korean government has initiated a “Green New Deal” policy, in which a smart energy platform was proposed for more efficient building energy management that could monitor energy consumption in real time and control electrical installation and appliance in a timely manner. With the energy bigdata collected via IoT-based smart energy meter, this study aimed to develop a scalable platform for investigating the space-specific features of the temporal energy usage pattern and the relevant energy saving potential by electrical installation (i.e., lighting, electrical appliances, heating & cooling systems) in a building. This study was conducted in four stages: (i) real-time bigdata collection; (ii) development of dashboard; (iii) scalable analysis of energy usage pattern; and (iv) scalable analysis of energy saving potential. Main finding can be summarized as follow. First, more than 50% of the energy usage in main spaces (i.e., classrooms) was consumed by the heating & cooling systems. Second, the total energy saving potential was estimated at 11.50% when applying the developed actuator to the standby power and electrical radiator. Third, the annual cost saving potential as economic feasibility was estimated at 11.13%. The proposed scalable platform can contribute to investigating the energy usage pattern by electrical installation from a spatio-temporal perspective and to changing the occupants’ behaviors for energy savings by considering space-specific features and occupancy patterns. The proposed novel approach can be extended to various types of buildings.
Junsoo Lee; Tae Wan Kim; Chansik Lee; Choongwan Koo. A scalable platform for investigating the space-specific features of the temporal energy usage pattern and saving potential with real-time bigdata. Journal of Cleaner Production 2021, 314, 128028 .
AMA StyleJunsoo Lee, Tae Wan Kim, Chansik Lee, Choongwan Koo. A scalable platform for investigating the space-specific features of the temporal energy usage pattern and saving potential with real-time bigdata. Journal of Cleaner Production. 2021; 314 ():128028.
Chicago/Turabian StyleJunsoo Lee; Tae Wan Kim; Chansik Lee; Choongwan Koo. 2021. "A scalable platform for investigating the space-specific features of the temporal energy usage pattern and saving potential with real-time bigdata." Journal of Cleaner Production 314, no. : 128028.
The integration of building information modeling (BIM) and virtual reality (VR) has attracted increasing attention in the architecture engineering and construction (AEC) industry. Despite the rapid emergence of BIM-based VR applications, no evaluation framework specialized for the technologies exists in the AEC industry. After extensively reviewing existing studies and interviewing experts, the research team proposed an evaluation framework for BIM-based VR applications, which consists of 3 stages, 5 areas, 14 criteria, and 29 metrics and focuses on the design phase of the projects. To assess the usefulness of the framework, the team applied it to five BIM-based VR applications using a BIM-based design project for an educational building in Hong Kong. The team also interviewed experts to discuss the comprehensiveness of the framework. The results show that the framework provides consistent results for comprehensive evaluation criteria and metrics in a quantitative and flexible manner. Further research that considers additional criteria and/or metrics related to other phases (e.g. construction phase) is required to extend the framework to the whole lifecycle.
Jung In Kim; Sining Li; Xingbin Chen; Calvin Keung; Minjae Suh; Tae Wan Kim. Evaluation framework for BIM-based VR applications in design phase. Journal of Computational Design and Engineering 2021, 8, 910 -922.
AMA StyleJung In Kim, Sining Li, Xingbin Chen, Calvin Keung, Minjae Suh, Tae Wan Kim. Evaluation framework for BIM-based VR applications in design phase. Journal of Computational Design and Engineering. 2021; 8 (3):910-922.
Chicago/Turabian StyleJung In Kim; Sining Li; Xingbin Chen; Calvin Keung; Minjae Suh; Tae Wan Kim. 2021. "Evaluation framework for BIM-based VR applications in design phase." Journal of Computational Design and Engineering 8, no. 3: 910-922.
This study sought to develop a typology model of temporary facility constraints that can be used practically in construction site layout planning (CSLP) automation models. A triangulated methodology (literature review, in-depth interviews, and actual case studies) was used to identify constraints of 11 temporary facilities that are considered mainly in CSLP and to classify them into six constraint types (i.e., dimensional, regional, relocation, non-overlap, inter-facility distance, and visibility constraints) and seven subtypes. In addition, this study proposed computational modeling methods that would allow a computer to judge whether or not the constraints are met by a created construction site layout. This study contributes to CSLP theory by providing a typology model of temporary facilities that can be used in the model-based verification of the created construction site layout and constraint processing condition in CSLP optimization models. This would also help provide efficient, safe, and eco-friendly construction site management, while refraining from experience- and intuition-centered CSLP practices.
Minguk Kim; Han-Guk Ryu; Tae Wan Kim. A Typology Model of Temporary Facility Constraints for Automated Construction Site Layout Planning. Applied Sciences 2021, 11, 1027 .
AMA StyleMinguk Kim, Han-Guk Ryu, Tae Wan Kim. A Typology Model of Temporary Facility Constraints for Automated Construction Site Layout Planning. Applied Sciences. 2021; 11 (3):1027.
Chicago/Turabian StyleMinguk Kim; Han-Guk Ryu; Tae Wan Kim. 2021. "A Typology Model of Temporary Facility Constraints for Automated Construction Site Layout Planning." Applied Sciences 11, no. 3: 1027.
Although offsite construction (OSC) has emerged as a promising solution to low productivity issues in the construction industry, knowledge for effective management of OSC projects is yet to be explored and developed further. To enhance our understanding of the landscape of the current OSC management knowledge, this study identified and reviewed 83 operation-level OSC management papers. By mapping the papers on three dimensions (i.e. OSC project type, project phase, and management area), this review sheds light on the knowledge areas addressed more frequently than the other areas over time in a detailed manner. The review also shows that papers on planning, manufacturing, maintenance phases and schedule, resources, and stakeholder management areas have a relatively large number of citations, implying a great interest in these research areas. Finally, the review discusses that substantial research work is still required in the areas of OSC execution strategy, emerging technologies in offsite manufacturing and schedule management, internet of things (IoT)-based material logistics planning and tracking, building information model-based visualization and decision support, and social and environmental effects of stakeholder engagement in OSC projects.
Junyoung Jang; Seungjun Ahn; Seung Hyun Cha; Kyeongwoon Cho; Choongwan Koo; Tae Wan Kim. Toward productivity in future construction: mapping knowledge and finding insights for achieving successful offsite construction projects. Journal of Computational Design and Engineering 2020, 8, 1 -14.
AMA StyleJunyoung Jang, Seungjun Ahn, Seung Hyun Cha, Kyeongwoon Cho, Choongwan Koo, Tae Wan Kim. Toward productivity in future construction: mapping knowledge and finding insights for achieving successful offsite construction projects. Journal of Computational Design and Engineering. 2020; 8 (1):1-14.
Chicago/Turabian StyleJunyoung Jang; Seungjun Ahn; Seung Hyun Cha; Kyeongwoon Cho; Choongwan Koo; Tae Wan Kim. 2020. "Toward productivity in future construction: mapping knowledge and finding insights for achieving successful offsite construction projects." Journal of Computational Design and Engineering 8, no. 1: 1-14.
Many researchers, as well as industry practitioners, believe that offsite construction methods are associated with a lower level of worker safety risks than traditional onsite construction methods. This study aims to test such belief by comparing the list of worker safety risks identified by site supervisors for both onsite and offsite construction scenarios for the same building components. Specifically, Safe Work Method Statements (SWMS)—prejob hazard assessments required by law in Australia—were collected from two projects where offsite manufacturing has been used, and they were used as a basis for the investigation. Additionally, interviews were conducted with the site supervisors who developed the Statements for a more in-depth investigation of the worker safety risks involved with onsite and offsite construction methods, respectively. The analysis reveals that the total risk score (the higher the score, the more numerous the safety risks) would decrease in the offsite construction scenarios in each case, mainly due to significantly fewer work-at-height tasks included in the offsite construction scenarios. This study contributes to the body of knowledge by providing an empirical, evidence-based explanation for why offsite construction can help reduce safety risks on construction sites.
Seungjun Ahn; Luke Crouch; Tae Wan Kim; Raufdeen Rameezdeen. Comparison of Worker Safety Risks between Onsite and Offsite Construction Methods: A Site Management Perspective. Journal of Construction Engineering and Management 2020, 146, 05020010 .
AMA StyleSeungjun Ahn, Luke Crouch, Tae Wan Kim, Raufdeen Rameezdeen. Comparison of Worker Safety Risks between Onsite and Offsite Construction Methods: A Site Management Perspective. Journal of Construction Engineering and Management. 2020; 146 (9):05020010.
Chicago/Turabian StyleSeungjun Ahn; Luke Crouch; Tae Wan Kim; Raufdeen Rameezdeen. 2020. "Comparison of Worker Safety Risks between Onsite and Offsite Construction Methods: A Site Management Perspective." Journal of Construction Engineering and Management 146, no. 9: 05020010.
The purpose of this study was to investigate the effects of interior color schemes in immersive virtual environments (IVEs) on emotion, task performance, and heart rate to examine IVEs' potential for interior color research. Fifty‐five (n = 55) student participants were recruited to experience four different colored IVE models (i.e., red, green, blue, and white), and their emotions, heart rate change, and proofreading performances during the immersion were measured. Participants were also asked about their sense of presence after the experience. The findings support the following three hypotheses: (1) IVE interior color schemes affect subject emotion, (2) IVE interior color schemes affect subject task performance as measured through a proofreading exercise, and (3) IVE interior color schemes affect subject heart rate. Specifically, red was perceived as significantly heavier, warmer, more exciting, tenser, and unpleasant. Significantly fewer errors occurred during the white immersion versus the green color scheme when completing the task performance exercise. While heart rate was reduced for each color, significant decreases were detected in the blue, white, and green color scenarios. The majority of participants felt a sense of being there when experiencing the four colored IVE spaces. Based on these results, we conclude that IVE has potential for interior color research to overcome the limitations of traditional color research tools.
Seung Hyun Cha; Shaojie Zhang; Tae Wan Kim. Effects of Interior Color Schemes on Emotion, Task Performance, and Heart Rate in Immersive Virtual Environments. Journal of Interior Design 2020, 45, 51 -65.
AMA StyleSeung Hyun Cha, Shaojie Zhang, Tae Wan Kim. Effects of Interior Color Schemes on Emotion, Task Performance, and Heart Rate in Immersive Virtual Environments. Journal of Interior Design. 2020; 45 (4):51-65.
Chicago/Turabian StyleSeung Hyun Cha; Shaojie Zhang; Tae Wan Kim. 2020. "Effects of Interior Color Schemes on Emotion, Task Performance, and Heart Rate in Immersive Virtual Environments." Journal of Interior Design 45, no. 4: 51-65.
The rise of the smart building has promoted various pervasive computing technologies to be used in the intelligent building system. People tend to be in groups inside a building, working together, taking classes, having meetings, etc. Being able to recognize such group activities will be key to making a functionalized building an activity-aware smart system. In that way, the system can adjust the surrounding atmosphere automatically according to the detected group activity and adapt to the needs of individuals or groups. Exiting works on group activity recognition (GAR) mainly focus on computer vision through surveillance hardware, which suffers from privacy and illumination problems. We decided to use the smartphone to identify GAR, considering it’s pervasive and ubiquitous properties as well as various built-in sensors such as an accelerometer, gyroscope, microphone, etc. In this paper, we first conduct an extensive literature review relating to GAR in smart buildings. Our goal is to recognize fine-grained group activity by utilizing coarse-grained smartphone sensors.
Hao Chen; Tae Wan Kim. Markov Logic Network-Based Group Activity Recognition in Smart Buildings. Smart and Sustainable Cities and Buildings 2020, 457 -465.
AMA StyleHao Chen, Tae Wan Kim. Markov Logic Network-Based Group Activity Recognition in Smart Buildings. Smart and Sustainable Cities and Buildings. 2020; ():457-465.
Chicago/Turabian StyleHao Chen; Tae Wan Kim. 2020. "Markov Logic Network-Based Group Activity Recognition in Smart Buildings." Smart and Sustainable Cities and Buildings , no. : 457-465.
Seung Hyun Cha; Choongwan Koo; Tae Wan Kim; Taehoon Hong. Spatial perception of ceiling height and type variation in immersive virtual environments. Building and Environment 2019, 163, 1 .
AMA StyleSeung Hyun Cha, Choongwan Koo, Tae Wan Kim, Taehoon Hong. Spatial perception of ceiling height and type variation in immersive virtual environments. Building and Environment. 2019; 163 ():1.
Chicago/Turabian StyleSeung Hyun Cha; Choongwan Koo; Tae Wan Kim; Taehoon Hong. 2019. "Spatial perception of ceiling height and type variation in immersive virtual environments." Building and Environment 163, no. : 1.
Understanding occupant activities in a building is essential for building management systems to provide occupants with comfort and intelligent indoor environment. However, current occupant activity recognition mainly focuses on individual activity. Group activity recognition indoors has gained little attention, but remains of paramount importance, such as working together, taking classes, and discussions. In this paper, we propose a framework for group activity detection and recognition (i.e., GADAR framework) using smartphone sensors and Bluetooth beacons data. This framework consists of the following four layers: user layer, data package layer, processing layer, and output layer. As individuals within the group show similarity in motion, audio, and proximity, such similarity values are calculated and clustered into groups using hierarchical clustering. The framework then extracts the role, motion, speaking and location features from the clustered groups to distinguish different group activities. Decision tree classifier was selected to recognize the group activity that the group is engaged in. An experiment was conducted to identify the following three common group activities: taking class, seminar, and discussion. The result shows that the proposed GADAR framework could provide more than 89% accuracy in group detection and 89% accuracy in recognizing group activity.
Hao Chen; Seung Hyun Cha; Tae Wan Kim. A framework for group activity detection and recognition using smartphone sensors and beacons. Building and Environment 2019, 158, 205 -216.
AMA StyleHao Chen, Seung Hyun Cha, Tae Wan Kim. A framework for group activity detection and recognition using smartphone sensors and beacons. Building and Environment. 2019; 158 ():205-216.
Chicago/Turabian StyleHao Chen; Seung Hyun Cha; Tae Wan Kim. 2019. "A framework for group activity detection and recognition using smartphone sensors and beacons." Building and Environment 158, no. : 205-216.
This empirical study sought to validate the spatial-choice modelling approach to user simulation. This validation is challenging, because spatial-choice behaviour is difficult to observe in real-life settings. To overcome this challenge, the study assembled 1137 activity cases from time-use diaries kept by university students and then extracted 74 space-rejection cases (i.e. events when students were unable to take up a particular space-option and so moved to another one). We assessed the attributes of the space-options in the rejection cases by means of a site investigation, predicted space-use probabilities using spatial-choice models, and assessed forecasting accuracy by a Brier score. The spatial-choice models scored 0.35, demonstrating higher forecasting accuracy than two alternative methods, namely space-use analysis (0.50) and the closest distance method (0.84). This study contributes to user simulation by validating the accuracy of the spatial-choice models based on revealed spatial-choice data in real-life settings and comparing it with other methods.
Tae Wan Kim; Seung Hyun Cha. Empirical validation of the spatial-choice modelling approach to user simulation. Architectural Science Review 2019, 62, 313 -322.
AMA StyleTae Wan Kim, Seung Hyun Cha. Empirical validation of the spatial-choice modelling approach to user simulation. Architectural Science Review. 2019; 62 (4):313-322.
Chicago/Turabian StyleTae Wan Kim; Seung Hyun Cha. 2019. "Empirical validation of the spatial-choice modelling approach to user simulation." Architectural Science Review 62, no. 4: 313-322.
Large concourses have been developed in shopping malls, bus and train terminals, concert, theatre halls, and other places where people stand or/and are in constant motion. This study aims to develop a novel method to analyze people's space use and navigation, demonstrate how people explore a large space, specifically a concourse in a university, and determine relationships of space with people's movements and activities. By collecting empirical data of spatial uses in a large concourse and implementing a method of spatial analysis based on spatial grids to analyze such data, this study seeks to verify how effectively people's movements and activities can be established in a large space and which features have significant effect in developing and managing a large space. A total of 865 activities in 265 days were collected and analyzed in a large space of a concourse in a university campus. By adopting a locational-based method of geographical analysis, the proposed method effectively illustrated relationships of people's movement, activities, and satisfaction in visual and quantitative values. As a result, spatial features were found to be significant elements in improving spatial satisfaction. Space environment performance, spatial form, user capacity, equipment adequacy, and equipment conditions were major spatial features considered for improving people's satisfaction in a large space. Highlights We proposed a new multi-layer-grid-based analysis method for a large indoor built environment. People's movements, activities, and satisfaction in a large indoor space were collected, traced, and analyzed. We quantified relationships among movements, activities, spatial features and satisfaction in a large indoor space. Assumption of causal symmetry between spatial features and people's behavior was tested with empirical data.
Youngchul Kim; Tae Wan Kim. How do people explore a large concourse in university campus? A computational analysis. Journal of Computational Design and Engineering 2018, 6, 666 -674.
AMA StyleYoungchul Kim, Tae Wan Kim. How do people explore a large concourse in university campus? A computational analysis. Journal of Computational Design and Engineering. 2018; 6 (4):666-674.
Chicago/Turabian StyleYoungchul Kim; Tae Wan Kim. 2018. "How do people explore a large concourse in university campus? A computational analysis." Journal of Computational Design and Engineering 6, no. 4: 666-674.
Seung Hyun Cha; Koen Steemers; Tae Wan Kim. Modeling space preferences for accurate occupancy prediction during the design phase. Automation in Construction 2018, 93, 135 -147.
AMA StyleSeung Hyun Cha, Koen Steemers, Tae Wan Kim. Modeling space preferences for accurate occupancy prediction during the design phase. Automation in Construction. 2018; 93 ():135-147.
Chicago/Turabian StyleSeung Hyun Cha; Koen Steemers; Tae Wan Kim. 2018. "Modeling space preferences for accurate occupancy prediction during the design phase." Automation in Construction 93, no. : 135-147.
Space attributes concern both users’ space-choice behaviour (i.e. where to sit) and satisfaction (i.e. level of satisfaction in the chosen seat). However, the effects of space attributes in academic libraries have most often been investigated with a separate focus on either space-choice behaviour or user satisfaction. Since library contexts vary greatly, it is unreasonable to compare findings from existing separate-focus studies. The present study thus aims to conjointly investigate the effects of space attributes on space-choice behaviour and user satisfaction from the same context of an academic library. For this purpose, a questionnaire survey was conducted and the data were explored in a series of statistical analyses. As a result, the study demonstrates that the influence of some space attributes differs between space choice and satisfaction. Once generalized in future studies of a wider variety of academic libraries, these findings should help architects to make better-informed decisions in library space-planning and design, leading to more efficient use of space and enhanced user satisfaction.
Seung Hyun Cha; Tae Wan Kim. The role of space attributes in space-choice behaviour and satisfaction in an academic library. Journal of Librarianship and Information Science 2018, 52, 399 -409.
AMA StyleSeung Hyun Cha, Tae Wan Kim. The role of space attributes in space-choice behaviour and satisfaction in an academic library. Journal of Librarianship and Information Science. 2018; 52 (2):399-409.
Chicago/Turabian StyleSeung Hyun Cha; Tae Wan Kim. 2018. "The role of space attributes in space-choice behaviour and satisfaction in an academic library." Journal of Librarianship and Information Science 52, no. 2: 399-409.
With the purpose of reducing the amount of construction and demolition (C&D) waste disposed to landfills, many countries and municipalities have introduced increasingly stringent C&D waste disposal charges (CDWDC) but the level of CDWDC is often determined without a clear understanding of its broad and complex impacts. Against this background, this paper aims to propose a system dynamics (SD) model that can help predict CDWDC’s environmental implications as well as its financial implications. Specifically, the proposed model explains complex causal relationships between variables such as the level of CDWDC, the amount of C&D waste disposed to landfills, the government’s revenues from CDWDC as well as the costs of supplying and operating landfills over time. For a case study, the developed model is customized and calibrated with actual data from Hong Kong, where the remaining capacities of existing landfills are limited and the need for supplying more landfills is imminent. The simulation analysis with the model predicts that the current charging levels may not be high enough to effectively control the amount of C&D waste disposed to landfills or to compensate for the costs to the government of supplying additional landfills. The analysis also predicts how much illegal dumping may increase as the level of CDWDC increases. This case study illustrates that the proposed SD model can help policy makers to see the potential impacts of increased CDWDC on the amount of C&D waste disposed to landfills, government costs and the amount of illegal dumping of C&D waste; and can therefore help them to determine the most appropriate level of CDWDC.
Lai Au; Seungjun Ahn; Tae Kim. System Dynamic Analysis of Impacts of Government Charges on Disposal of Construction and Demolition Waste: A Hong Kong Case Study. Sustainability 2018, 10, 1077 .
AMA StyleLai Au, Seungjun Ahn, Tae Kim. System Dynamic Analysis of Impacts of Government Charges on Disposal of Construction and Demolition Waste: A Hong Kong Case Study. Sustainability. 2018; 10 (4):1077.
Chicago/Turabian StyleLai Au; Seungjun Ahn; Tae Kim. 2018. "System Dynamic Analysis of Impacts of Government Charges on Disposal of Construction and Demolition Waste: A Hong Kong Case Study." Sustainability 10, no. 4: 1077.
When properly implemented, modular construction offers considerable opportunity to improve project performance. However, the construction industry continues to struggle to achieve higher levels of modularization. Since the characteristics and environments in dense urban areas differ to those in rural areas, strategy, pre-project planning, project execution planning, and actual execution of modular construction should also differ. However, research so far has not focused on the implementation of modular methods in urban environments. Thus, the aim of this study was to identify unique challenges and opportunities for implementing modular techniques in urban environments. To meet this goal, this paper examined the current practices, benefits, and barriers in highly dense urban areas by employing a three staged-sequential approach involving the preliminary investigation, main survey (106 responses from 39 companies), and ex-post in-depth interviews with 10 experts. The results show that (1) ‘better site operations’ was selected by practitioners as the greatest benefit, and ‘site access and on-site storage area’ was selected as the key barrier and (2) the practitioners experienced difficulties in transporting modules in urban areas. These findings offer valuable implications to modular technique implementation in urban areas around the world.
Jin Ouk Choi; Xing Bin Chen; Tae Wan Kim. Opportunities and challenges of modular methods in dense urban environment. International Journal of Construction Management 2017, 19, 93 -105.
AMA StyleJin Ouk Choi, Xing Bin Chen, Tae Wan Kim. Opportunities and challenges of modular methods in dense urban environment. International Journal of Construction Management. 2017; 19 (2):93-105.
Chicago/Turabian StyleJin Ouk Choi; Xing Bin Chen; Tae Wan Kim. 2017. "Opportunities and challenges of modular methods in dense urban environment." International Journal of Construction Management 19, no. 2: 93-105.
Accurate space-use prediction helps architects to optimize space efficiency in buildings, thereby achieving economic and environmental sustainability. However, current space-use prediction models and approaches either disregard or oversimplify the role of building users’ space preferences in spatial-choice behaviour, thereby compromising prediction accuracy. The aim of this study was thus to develop a space-preference model of spatial-choice behaviour with a focus on group work-related activities. A total of 2464 observations of spatial choices were collected using a discrete-choice experiment. The data were modelled using a conditional logit model and then validated in a predictive success test. The resulting model clearly explains space preferences for group work-related activities and predicts spatial-choice behaviour by generating space-use probabilities for given spaces. The model is compared to a space-preference model for individual work-related activities. Lastly, the application of the model was demonstrated in a case example.
Seung Hyun Cha; Koen Steemers; Tae Wan Kim. Modelling building users’ space preferences for group work: a discrete-choice experiment. Architectural Science Review 2017, 60, 460 -471.
AMA StyleSeung Hyun Cha, Koen Steemers, Tae Wan Kim. Modelling building users’ space preferences for group work: a discrete-choice experiment. Architectural Science Review. 2017; 60 (6):460-471.
Chicago/Turabian StyleSeung Hyun Cha; Koen Steemers; Tae Wan Kim. 2017. "Modelling building users’ space preferences for group work: a discrete-choice experiment." Architectural Science Review 60, no. 6: 460-471.
Xing Bin Chen; Tae Wan Kim. Automated Mapping of User Activities onto Flexible Space in Space-Use Analysis. Journal of Construction Engineering and Management 2017, 143, 04017034 .
AMA StyleXing Bin Chen, Tae Wan Kim. Automated Mapping of User Activities onto Flexible Space in Space-Use Analysis. Journal of Construction Engineering and Management. 2017; 143 (8):04017034.
Chicago/Turabian StyleXing Bin Chen; Tae Wan Kim. 2017. "Automated Mapping of User Activities onto Flexible Space in Space-Use Analysis." Journal of Construction Engineering and Management 143, no. 8: 04017034.
Shuk Ming Sophia Leung; Tae Wan Kim; Youngchul Kim. Linked podiums affecting street life: A case of Tuen Mun in Hong Kong. URBAN DESIGN International 2016, 22, 47 -72.
AMA StyleShuk Ming Sophia Leung, Tae Wan Kim, Youngchul Kim. Linked podiums affecting street life: A case of Tuen Mun in Hong Kong. URBAN DESIGN International. 2016; 22 (1):47-72.
Chicago/Turabian StyleShuk Ming Sophia Leung; Tae Wan Kim; Youngchul Kim. 2016. "Linked podiums affecting street life: A case of Tuen Mun in Hong Kong." URBAN DESIGN International 22, no. 1: 47-72.
Seung Hyun Cha; Tae Wan Kim. What Matters for Students' Use of Physical Library Space? The Journal of Academic Librarianship 2015, 41, 274 -279.
AMA StyleSeung Hyun Cha, Tae Wan Kim. What Matters for Students' Use of Physical Library Space? The Journal of Academic Librarianship. 2015; 41 (3):274-279.
Chicago/Turabian StyleSeung Hyun Cha; Tae Wan Kim. 2015. "What Matters for Students' Use of Physical Library Space?" The Journal of Academic Librarianship 41, no. 3: 274-279.