Dzeng, Ren-jye; Lin, Ken-yu; Wang, Pei-ru. (2014). Building A Construction Procurement Negotiation Training Game Model: Learning Experiences And Outcomes. British Journal Of Educational Technology, 45(6), 1115 – 1135.
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Abstract
Game-based education is a promising method for encouraging student learning. Although learning construction procurement and negotiation require hands-on practice, in most construction management courses at the college level, this subject is taught by using lectures and case studies. In this study, a construction procurement and negotiation game was developed, and paper-based and web-based versions were implemented. The game enables students to play the role of contractors or suppliers and generate profits by negotiating and procuring or selling reinforcing steel in a simulated market with a probabilistic nature. The experimental results indicate that playing both versions of the game increased student learning motivation, satisfaction and outcomes. Students awarded the web-based game higher assessment scores than they did for the paper-based game. Students playing either version of the game also achieved higher test scores than students who were taught using the traditional approach did. However, for students with work experience, playing the paper-based game resulted in higher scores than the web-based game scores.
Keywords
Educational Games; Simulation Games In Education; Simulation Methods In Education; Game Theory; Academic Motivation; Learning; Contractors; Construction Industry Personnel; Education; Construction Procurement Negotiation Training Game Model; Learning Experiences; Game-based Education; Construction Procurement Learning; Negotiation Learning; Hands-on Practice; Construction Management Courses; Negotiation Game; Paper-based Version; Probabilistic Nature; Student Learning Motivation; Web-based Game; Higher Assessment Scores; Civil Engineering Computing; Computer Based Training; Computer Games; Construction; Educational Courses; Probability; Procurement; Instructional Simulation Game; Motivation; Impact; Achievement; Performance; Skills
Dossick, Carrie Sturts; Anderson, Anne; Azari, Rahman; Iorio, Josh; Neff, Gina; Taylor, John E. (2015). Messy Talk in Virtual Teams: Achieving Knowledge Synthesis through Shared Visualizations. Journal Of Management In Engineering, 31(1).
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Abstract
Engineering teams collaborating in virtual environments face many technical, social, and cultural challenges. In this paper we focus on distributed teams making joint unanticipated discoveries in virtual environments. We operationalize a definition of messy talk as a process in which teams mutually discover issues, critically engage in clarifying and finding solutions to the discovered issues, exchange their knowledge, and resolve the issue. Can globally distributed teams use messy talk via virtual communication technology? We analyzed the interactions of four distributed student teams collaborating on a complex design and planning project using building information models (BIMs) and the cyber-enabled global research infrastructure for design (CyberGRID), a virtual world specifically developed for collaborative work. Their interactions exhibited all four elements of messy talk, even though resolution was the least common. Virtual worlds support real-time joint problem solving by (1)providing affordances for talk mediated by shared visualizations, (2)supporting team perceptions of building information models that are mutable, and (3)allowing transformations of those models while people were together in real time. Our findings suggest that distributed team collaboration requires technologies that support messy talkand iterative trial and errorfor complex multidimensional problems. (C) 2014 American Society of Civil Engineers.
Keywords
Buildings (structures); Data Visualisation; Design; Grid Computing; Groupware; Knowledge Management; Structural Engineering Computing; Team Working; Virtual Manufacturing; Virtual Reality; Virtual Teams; Knowledge Synthesis; Engineering Teams Collaboration; Virtual Environments; Technical Challenges; Social Challenges; Cultural Challenges; Distributed Teams Making; Messy Talk; Knowledge Exchange; Globally Distributed Teams; Virtual Communication Technology; Distributed Student Teams; Design And Planning Project; Building Information Models; Bim; Cyber-enabled Global Research Infrastructure; Cybergrid; Virtual World; Collaborative Work; Team Perceptions; Iterative Trial And Error; Complex Multidimensional Problems; Visual Representations; Construction; Technology; Implementation; Collaboration; Communication; Teamwork; Digital Techniques; Knowledge-based Systems
Fantilli, Alessandro P.; Nemati, Kamran M.; Chiaia, Bernardino. (2016). Efficiency Index for Fiber-Reinforced Concrete Lining at Ultimate Limit State. Sustainable And Resilient Infrastructure, 1(1-2), 84 – 91.
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Abstract
The fiber contribution to the ultimate limit state capacity of precast and cast-in situ tunnel linings is analytically investigated. By means of a numerical model, capable of computing the interaction curves of reinforced concrete cross sections subjected to combined compressive and bending actions, the mechanical performances of plain and fiber-reinforced concrete are compared. As a result, a new index is introduced to quantify the effectiveness of fiber addition. The higher the efficiency index, the higher the amount of steel reinforcing bar that can be removed from a plain concrete cross section. The application to real concrete linings, where shear resistance is ensured without shear reinforcement, shows that a large volume of rebar can be saved by the presence of steel fibers. This gives significant advantages in terms of durability and rapidity of tunnel construction.
Keywords
Fiber-reinforced Concrete; Efficiency Index; Ultimate Limit State; Cast-in Situ Concrete Lining; Precast Tunnel Segments
Bitter, Christopher; Krause, Andy. (2017). The Influence of Urban Design Packages on Home Values. International Journal Of Housing Markets And Analysis, 10(2), 184 – 203.
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Abstract
Purpose The purpose of this study is to examine the impact of neighborhood design templates on residential home values in King County, WA, USA. Previous research examines a number of individual design factors; this study combines these factors into typologies and tests for the impacts of the composite set of design features. Design/methodology/approach The study analyzes over 27,000 home sales with a hedonic price model to measure the impacts across three large, regional submarkets. Neighborhood design categories are developed using a cluster analysis on a set of individual neighborhood attributes. Findings The key finding from this research is that the impact of more traditional (“urban”) design packages on home values is highly contextual. For the older and denser neighborhoods in the study area, a more traditional design results in a significantly positive impact on home values. In the new and more suburban regions of the study area, this effect is not found. Originality/value Prior work focused on valuing design attributes individually. The study argues that neighborhood design is better conceived of as a “package”, as the value of a given design element may depend on other co-located attributes. This is the first study, to the authors’ knowledge, to treat physical neighborhood design variables as a composite whole and to attempt to value their impact on home values as such.
Keywords
Regional Development; Packages; Cluster Analysis; Suburban Areas; Residential Areas; Housing; Design; Connectivity; Property Values; Urban Planning; Emission Standards; Neighborhoods; Urban Areas; Influence; Household Utilities; Design Factors; Regional Analysis; Housing Prices; Land Use; Tax Assessments; Urbanism
Ibrahim, Amir; El-Anwar, Omar; Marzouk, Mohamed. (2018). Socioeconomic Impact Assessment of Highly Dense-Urban Construction Projects. Automation In Construction, 92, 230 – 241.
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Abstract
Dense-urban construction is reported to affect the social and economic welfare of surrounding residents and local businesses in various ways. However, research studies and practical methodologies aimed at assessing to what extent the choice of a construction plan that reduces such effect are very limited. The objective of this paper is to present the development of an automated assessment methodology to fill this research gap. To this end, two formulations are presented; one based on multi-attributed utility functions and the other based on monetary compensations for disruptions caused by construction operations. Both formulations assess the impacts of construction plans on (1) increased travel distance; (2) residents' relocation; (3) business loss; (4) business closure; and (5) noise inconvenience. The proposed automated methodology is implemented in five sequential phases and utilizes Geographical Information Systems (GIS) and Visual Basic Application (VBA). Using the proposed implementation, the two alternative formulations are applied to an infrastructure upgrading project in Cairo, Egypt that had five possible construction scenarios. While the two formulations resulted in the same preference order for the five scenarios, they exhibited different performance in terms of their (1) assessment relative values; (2) required input data and robustness; (3) ease of results interpretation; and (4) comprehensiveness and scalability. The developed framework shows promising results in terms of identifying and sorting the major root causes of the socioeconomic disruptions caused by dense urban construction. Results show that using the proposed methodology informs decision-making and planning at the early stages of a project, which in turn helps to reduce cost overruns and schedule delays.
Keywords
Construction Projects; Socioeconomics; Social Services; Construction Project Management; Building Design & Construction; Geographic Information Systems; Infrastructure (economics); Dense-urban Construction; Gis; Socioeconomic Assessment; Decision Making; Economics; Plant Shutdowns; Tourism Industry; Automated Assessment; Construction Operations; Construction Plan; Socio-economic Assessments; Socio-economic Impact Assessment; Urban Construction; Utility Functions; Visual Basic Application; Pavement Construction; Road; Sustainability; Behavior; Industry; Highway; Models; Choice
Duncan, Glen E.; Avery, Ally; Hurvitz, Philip M.; Moudon, Anne Vernez; Tsang, Siny; Turkheimer, Eric. (2019). Cohort Profile: Twins Study of Environment, Lifestyle Behaviours and Health. International Journal Of Epidemiology, 48(4), 1041.
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Keywords
Twin Studies; Neighborhoods; Native Americans; Normalized Difference Vegetation Index; Life Style; Twins; Body-mass Index; Physical-activity; Neighborhood Walkability; Waist Circumference; Built Environment; Causal Inference; Deprivation; Validation; Registry; Obesity
Tobey, Michael B.; Binder, Robert B.; Yoshida, Takahiro; Yamagata, Yoshiki. (2019). Urban Systems Design Case Study: Tokyo’s Sumida Ward. Smart Cities, 2(4), 453 – 470.
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Abstract
Meeting the needs of increasing environmental and systematic pressures in urban settlements requires the use of integrated and wholistic approaches. The Urban Systems Design (USD) Conceptual Framework joins the metric-based modeling of rationalized methods with human-driven goals to form a combined iterative design and analysis loop. The framework processes information for the fundamental element of cities-humans-to large-scale modeling and decision-making occurring in district- and ward-level planning. There is a need in the planning and design profession to better integrate these efforts at a greater scale to create smart communities that are inclusive and comprehensive in aspects from data management to energy and transportation networks. The purpose of this study is to examine the applicability of this method as it pertains to a model and design integrated approach. Northern Sumida Ward, located in Tokyo, exemplifies the contextualized needs of Tokyo, and Japan, while forming a coherent internal community. Focusing on methodology, our process explores the creation of typologies, metric-based analysis, and design-based approaches that are integrated into modeling. The results of the analyses provide initial evidence regarding the validity of the USD approach in modeling changes to complex systems at differing design scales, connecting various qualities of the built environment, building and urban forms, and diagnostic comparisons between baseline and change conditions. Because of some inconsistencies and the need for further evidence gathering, the methods and processes show that there is much work to be done to strengthen the model and to continue building a more productive field of USD. However, in this framework's continuing evolution, there is increasing evidence that combining the planning and design of urban systems creates a more resilient, economically viable, sustainable, and comfortable city.
Keywords
Urban Planning; Resilience; Sustainability; Economics; Human Factors; Tokyo; Planning Support System; Gis
Liu, Yue; Colburn, Alex; Inanici, Mehlika. (2020). Deep Neural Network Approach for Annual Luminance Simulations. Journal Of Building Performance Simulation, 13(5), 532 – 554.
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Abstract
Annual luminance maps provide meaningful evaluations for occupants' visual comfort and perception. This paper presents a novel data-driven approach for predicting annual luminance maps from a limited number of point-in-time high-dynamic-range imagery by utilizing a deep neural network. A sensitivity analysis is performed to develop guidelines for determining the minimum and optimum data collection periods for generating accurate maps. The proposed model can faithfully predict high-quality annual panoramic luminance maps from one of the three options within 30 min training time: (i) point-in-time luminance imagery spanning 5% of the year, when evenly distributed during daylight hours, (ii) one-month hourly imagery generated during daylight hours around the equinoxes; or (iii) 9 days of hourly data collected around the spring equinox, summer and winter solstices (2.5% of the year) all suffice to predict the luminance maps for the rest of the year. The DNN predicted high-quality panoramas are validated against Radiance renderings.
Keywords
Scattering Distribution-functions; Daylight Performance; Glare; Model; Prediction; Daylighting Simulation; Luminance Maps; Machine Learning; Neural Networks; Hdr Imagery; Panoramic View
Kim, Taehoon; Kim, Yong-Woo; Cho, Hunhee. (2021). A Simulation-Based Dynamic Scheduling Model for Curtain Wall Production Considering Construction Planning Reliability. Journal Of Cleaner Production, 286.
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Abstract
Appropriate production scheduling of curtain wall systems is essential for the successful completion of construction projects. The construction process of the curtain wall system is mainly on the critical path and accounts for 10-15% of the total construction cost. Should curtain wall products not be timeously delivered to the construction site, construction projects are likely to fall behind schedule with most relevant activities on curtainwall installation on a critical path. However, due-date uncertainty caused by a contractor's lack of planning reliability causes the curtain wall production schedule to become complex and changes the due date after the initial order. In this regard, this study proposes a discrete event simulation-based dynamic scheduling model for curtain wall production to deliver products on time to the construction site by considering each construction project's planning reliability. Through simulation experiments, the validity and effectiveness of the proposed model were tested. The results of this study will help the successful completion of construction projects by ensuring the progress of the curtain wall system construction and follow-up activities following the construction schedule. (C) 2020 Elsevier Ltd. All rights reserved.
Keywords
Construction Industry; Discrete Event Simulation; Dynamic Scheduling; Production Control; Production Planning; Project Management; Reliability; Scheduling; Walls; Construction Planning Reliability; Construction Schedule; Curtain Wall System Construction; Construction Project; Discrete Event Simulation-based Dynamic Scheduling Model; Curtain Wall Production Schedule; Curtain Wall Installation; Curtain Wall Products; Total Construction Cost; Critical Path; Production Scheduling; Off-site Construction; Demand Variability; Job Shops; Precast; Minimize; Number; Curtain Wall; Simulation; Planning Reliability; Dispatching Rule
Kandil, Amr; El-Rayes, Khaled; El-Anwar, Omar. (2010). Optimization Research: Enhancing the Robustness of Large-Scale Multiobjective Optimization in Construction. Journal Of Construction Engineering And Management, 136(1), 17 – 25.
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Abstract
Many construction planning problems require optimizing multiple and conflicting project objectives such as minimizing construction time and cost while maximizing safety, quality, and sustainability. To enable the optimization of these construction problems, a number of research studies focused on developing multiobjective optimization algorithms (MOAs). The robustness of these algorithms needs further research to ensure an efficient and effective optimization of large-scale real-life construction problems. This paper presents a review of current research efforts in the field of construction multiobjective optimization and two case studies that illustrate methods for enhancing the robustness of MOAs. The first case study utilizes a multiobjective genetic algorithm (MOGA) and an analytical optimization algorithm to optimize the planning of postdisaster temporary housing projects. The second case study utilizes a MOGA and parallel computing to optimize the planning of construction resource utilization in large-scale infrastructure projects. The paper also presents practical recommendations based on the main findings of the analyzed case studies to enhance the robustness of multiobjective optimization in construction engineering and management.
Keywords
Optimizing Resource Utilization; Trade-off; Highway Construction; Genetic Algorithms; Cost; Model; Network; Design; Colony; Optimization Models; Parallel Processing; Resource Management; Housing; Multiple Objective Analysis; Linear Analysis; Algorithms