Digital Commons Network^™

Multiobjective Optimization Of Building Performance: Integrated Analysis Of Primary Energy Consumption, Carbon Emissions, And Embodied Water, Maryam Abbasi Kamazani, Manish Kumar Dixit

CIB Conferences

The construction sector contributes significantly to global energy consumption, carbon emissions, and freshwater depletion. Addressing these pressing challenges requires the development of sustainable and energy-efficient building designs. However, this task is complex due to the interdependencies within the energy-carbon-water nexus of buildings. This study introduces an innovative genetic framework employing a multi-objective optimization approach that integrates EnergyPlus with extensive databases on embodied energy, carbon emissions, and embodied water. The proposed methodology enables a holistic assessment and optimization of total primary energy use, total carbon emissions, and embodied water simultaneously. By varying design parameters related to building geometry and envelope characteristics, …

Evaluating Workers’ Well-Being In Off-Site Construction Facilities, Sena Assaf, Mohamed Assaf, Ahmed Bouferguene, Mohamed Al-Hussein

CIB Conferences

Well-being is defined as “the way people feel and function on a personal and social level and how they evaluate their lives as a whole”. It encompasses several interrelated dimensions, including the physical, emotional, social, financial, environmental, vocational, and intellectual. An individual’s well-being is influenced not only by their personal experiences but also by their experiences at the workplace. Individuals spend nearly one-third of their life at work and tend to carry their experiences into non-work-related domains. As a result, promoting a work environment centered on employees’ health, happiness, and satisfaction not only is important to ensure efficiency and productivity …

A Systematic Literature Review On The Thermal Behaviour Of Building Elements Constructed Through 3d Concrete Printing (3dcp), Asad Ur Rehman Bajwa, Don A.S. Samarasinghe, Claire L. Flemmer, Ding Wen Bao

CIB Conferences

3D concrete printing (3DCP) is increasingly used in construction due to its high speed, low waste, and geometric freedom capabilities. Researchers have signaled that 3DCP can help achieve long desired sustainability in the construction industry. Understanding the thermal behaviour of 3DCP based building elements could play a crucial role in attaining an energy efficient envelope, yet research on assessing the thermal behaviour of printed elements remains limited. This systematic literature review of records published between 2013 to 2023, provides a comprehensive overview of the thermal behaviour of several 3DCP-based materials and the important factors affecting heat transfer properties. The most …

Determinants Of Work Location Choice In Academia, Alessandra Migliore, Chiara Tagliaro, Ying Hua

CIB Conferences

The COVID-19 pandemic has forced most workers to work from home (WFH). At first glance, this seems not to be a significant change for academics, who, even in regular times, are used to performing their research activities autonomously and balancing on-campus and off-campus locations. Instead, precisely because of their flexible habits, it is interesting to study where academics worked during the COVID-19 pandemic and which factors relate to their location choices. This paper addresses these issues using survey data from 7,865 Italian-tenured academics. First, cluster analysis unveils four main location choices of Italian academics during the COVID-19 pandemic depending on …

Building Maintenance Strategy Selection Using Z-Numbers And The Delphi Method Enhanced Choosing By Advantages, Mahdi Anbari Moghadam, Deniz Besiktepe

CIB Conferences

Effective maintenance strategies are essential for prolonging the service life of buildings and ensuring seamless business operations. However, selecting the best maintenance strategy can be challenging due to the uncertain nature of building maintenance activities, which often depend on subjective human judgment. Traditional decision-making methods may not fully address these challenges, especially when dealing with conflicting criteria. Subsequently, decision-making methods such as Choosing by Advantages (CBA) received attention in the literature and were utilized in building maintenance decision-making due to their practical and user-friendly structure. This paper proposes a novel approach that integrates Z-numbers and the Delphi method to address …

Continuous Building Energy Modeling Concept In A Building’S Lifecycle With A Case Study, Sidi Mohammed Khalil Cherif Louazani, Hongtao Dang, Greg Lyman, Cary A Faulkner

CIB Conferences

Building Energy Modeling (BEM) is crucial for improving energy efficiency, minimizing energy consumption, and ensuring occupant comfort. Accurate BEM offers many benefits and insights for sustainable practices throughout a building's lifecycle. However, continuous BEM is often underutilized for improving energy efficiency and decarbonization of the grid, particularly when combining multiple tools that accurately estimate energy consumption, detect abnormality, and offer sustainable recommendations. This study addresses the gap in continuous BEM throughout a building's lifecycle, emphasizing the role of dynamic schedule adjustments for the HVAC system to optimize energy consumption. The project team conducted a case study of an institutional building …

A Pilot Study On Chatgpt’S Potential In Developing Construction Education Assessments Through A Lens Of Bloom’S Taxonomy, Yanchao Zheng, Deniz Besiktepe, Luciana Debs

CIB Conferences

Effective and quality assessment is crucial in construction management (CM) education to evaluate students’ understanding of the diverse skills demanded by the industry. Integrated by the American Council for Construction Education (ACCE) guidelines for its accredited CM programs, Bloom's Taxonomy provides a systematic and structured framework for aligning learning objectives with cognitive processes, guiding educators in developing assessments. However, under real-world practice, crafting quality assessment questions that align with Bloom's Taxonomy and the ACCE student learning outcomes (SLOs) poses challenges for CM instructors due to the specialized expertise and complexity of knowledge. This study investigates the potential of ChatGPT, an …

Generative Ai In Construction: Emerging Trends And Use Cases, Zaid Alwashah, Hexu Liu, Bo Xiao, Shane Mueller, Xiaoyun Shao

CIB Conferences

The construction industry is beginning to explore generative artificial intelligence (AI) technologies to address complex data management challenges and inefficiencies within traditional workflows, particularly in design, planning, and project management. Although there is growing interest in generative AI in construction, the understanding of its trends and opportunities remains scattered. This paper investigates the current trends, applications, and research needs for generative AI in construction through a bibliometric analysis of 148 publications from Scopus and Google Scholar. The keyword co-occurrence map highlights several search clusters, with a strong focus on "Building Information Modeling (BIM)," "digital twins," "sustainability," "construction safety," "structural and …

Community Matters: Building A Sense Of Belonging For Women In Construction, Jennifer Warrner

CIB Conferences

Recruiting and retaining students from underrepresented populations, such as female students, is challenging for construction programs at higher education institutions. This paper discusses how outreach activities have successfully been used to build a sense of community and belonging for female students in a baccalaureate construction management program at a four-year higher education institution. Activities from the outreach program, ideas for funding sources, challenges and lesson learned, and recommendations for developing similar outreach programs will be highlighted in the article that could be incorporated at other institutions.

Analysis Of Three Decades Of Research In Road And Highway Work Zones Using Bibliometric Methods, Patrick X.W. Zou, Wenxiu Guo

CIB Conferences

Research in road and highway work zones has been continuously increasing since it is critical for maintaining traffic efficiency, reducing accident risks and minimising environmental impact during road maintenance, repair or upgrade. Road and highway work zones significantly impact safety due to traffic flow disruption, layout change and construction activities, which increase the likelihood of collisions, injuries and workers’ exposure to dangers. Despite the growing body of research, there is a lack of comprehensive bibliometric analysis that examines the historical, current and future trajectories of work zone research. This study analyzes 892 publications from 1990 to 2024, sourced from the …

Collaborative Approach To Home Flood Insurance: Mapping Stakeholder Engagement Via Actor-Network Diagram, Yasodha Sandamini Kalutotage, Temitope Egbelakin, Buddhini Ginigaddara Dr

CIB Conferences

Homeowners often struggle with flood insurance affordability pressure due to rising premiums, which has become a primary concern. Addressing this issue requires collaborative efforts to develop a functional home flood insurance system that would enhance the resilience of vulnerable homeowners and communities. Currently, there is a gap in knowledge on how stakeholders within a Collaborative Flood Insurance System (CFIS) interact to address this challenge. This study aims to identify the relevant stakeholders and map their interactions within the system with the aim of improving the affordability of home flood insurance. Using an integrative literature review approach, the study identifies key …

A Bibliometric-Systematic Analysis Of Post-Occupancy Evaluation Of Green Building Using Bibliometrix R-Tool, Caleb Debrah, Albert P.C. Chan, Amos Darko, Eunice Akowuah, Judith Amudjie, Kofi A.B. Asare, Frank Ato Ghansah Dr

CIB Conferences

Post-occupancy evaluation (POE) is an essential tool to gather data from occupants regarding their dwelling conditions to inform retrofit decisions or improve future performance. With the growing importance of green building (GB) as a potent mechanism to address sustainability challenges within the construction industry, research on POE-in-GB is critical. However, there has been little effort to provide researchers with a systematic and bibliometric analysis of the state-of-the-art of the POE-in-GB field. To address this gap, this study uses bibliometric-systematic analysis to conduct a state-of-the-art review of POE-in-GB. A dataset comprising 183 publications from 1999-2023 was collected from the Scopus and …

Is Construction Material Science Lagging Other Industries?, Matt Stevens, Alan Todhunter, Laura Almeida, Anthony Butera

CIB Conferences

For over a decade, construction material researchers have largely ignored the world’s largest publicly accessible molecular database, The Materials Project. Today, Artificial Intelligence (AI) coupled with material databases is the new starting point for innovating products in the construction industry. More well-documented advancements in material performance have occurred in this century thus far than the last one. Coupled with Machine Learning, the possibility of rapid construction product improvement is realistic, given several verified breakthroughs in other fields. This is an efficacious way to approach advancement. Highly accurate data provides AI with the needed information to connect molecular dynamics with decision-making …

Artificial Intelligence For Early Decision-Making Optimization In The Use Of Modern Methods Of Construction In Housing Projects In Chile, Leonardo Javier Caamaño, Andrés J. Prieto

CIB Conferences

Modern Methods of Construction (MMC) represent a significant opportunity to address the stagnation of productivity in the construction sector, offering advantages such as reduced uncertainty in schedules and costs, minimized waste, and improved sustainability. However, in Chile, the adoption of MMC remains low due to limited information and the lack of early integration in project planning, leading to subjective decision-making. The OptimizIA project, developed by CDT, proposes an artificial intelligence (AI) model to predict and recommend the most suitable MMC solutions based on specific project conditions. This tool supports objective early decision-making in housing projects.

The research involved piloting the …

A Conceptual Framework For Implementing Digital Twins In Infrastructure Upgrades And Retrofits, Kofi A.B. Asare, Rui Liu, Chimay J. Anumba, Dolly Na-Yemeh

CIB Conferences

The United Nations (UN) Sustainable Development Goal (SDG) 9 emphasizes the need for sustainable and resilient infrastructure. An important pathway to achieving this goal is to upgrade and retrofit existing infrastructure to reduce carbon emissions, which is a top priority of the Bipartisan Infrastructure Law in the United States. Existing research has recognized that Digital Twins (DTs) are valuable for retrofits. Yet, current efforts are fragmented, focusing on specific types of infrastructure, and do not provide an approach that can be applied to the aggregated infrastructure stock. The variety of infrastructure systems makes focusing on DT-based methods for infrastructure upgrades …

Volumetric Criteria And An Automated Assessment Tool Development For Optimizing Building Permeability Design In High-Density Urban Environments, M.K. Leung, Dicken Poon, Yuxiu Zu, Yueyang He, Kai Gao, Tim Huang, Clement Pang, Kenneth Leung, Jenny Zhao, K. S. Wong, Edward Ng, Chak Sang Yue, Yuk-Ching Cheung

CIB Conferences

Better urban ventilation can significantly contribute to achieving UN SDGs through better liveability for sustainable cities and communities (SDG 11), better air quality for health and well-being (SDG 3), and more climate-responsive building design for climate action (SDG 13). Aligning with the said goals, a set of guidelines comprising 2-dimensional prescriptive building separation requirements was promulgated by HKSAR's Buildings Department (BD) in 2011 to promote better urban ventilation. However, some practitioners have concerns about applying the guidelines for projects with complex geometries. Projects may adopt alternative assessment methods using wind tunnel or CFD simulations to demonstrate compliance, but the required …

Exploring The Roles And Responsibilities Of Stakeholders In Ebe Education 5.0 Through The Quintuple Helix Model Of Innovation, Karen Le Jeune Ms, Krystle Ontong Dr, Alireza Moghayedi

CIB Conferences

The Quintuple Helix Model of Innovation (5HIM) offers an analytical framework with which to interrogate the reciprocal, complex inter-relationships between the eco-systems of the government, civil society, industry, academia and the environment. In the context of the Built Environment (BE), all of these subsystems are represented by the traditional stakeholders and role players. Education 5.0 requires the integration of digital technology into a modernised engineering and the BE curriculum, while prioritising human-centricity, resilience and sustainable development. Future BE Professionals (BEPs) will be required to serve a data-driven society – Society 5.0 – that strives to deliver prosperity of all, through …

Population Mobility Network Characteristics And Its Influencing Factors Under The Influence Of Typhoon Bebinca—— A Case Study Of The Yangtze River Delta Region, Yicheng Huang, Ying Lu, Hongzhe Yue

CIB Conferences

With the increasing frequency of extreme weather events such as typhoons, the stability and resilience of the inter-city population mobility network is facing serious challenges. However, existing studies have failed to comprehensively reveal the dynamics of the overall regional network, especially the changes in network structure and drivers under disaster situations. Therefore, based on the Pressure-State-Response (PSR) framework and the complex network model, this paper constructs an assessment model for the characteristics of the population mobility network in the Yangtze River Delta (YRD) region under the influence of Typhoon Bebinca, in order to analyze the impact of the typhoon on …

Are Construction Pipeline Information Reliable: The Primacy Of Internally Generated Data In Strategic Decision Making, Taofeeq Durojaye Moshood, Wajiha Shahzad, James O B Rotimi Prof

CIB Conferences

The construction industry in New Zealand is a vital contributor to the nation's economic growth, employment, and business expansion. However, to align with the government's objectives of affordable, secure, and sustainable housing and infrastructure, the industry must adeptly navigate the uncertainties in infrastructure pipelines. Infrastructure pipeline information is crucial in guiding construction stakeholders and government in making strategic decisions about when, where, and how to invest in projects across New Zealand. This study investigates the reliability of construction pipeline information and its impact on strategic decision-making within construction organisations, with a particular focus on the primacy of internally generated data. …

Benefits And Challenges Of Using Satellite Imagery For Property Valuation Data Collection, Phahla Kondile, Mandla Praisegod Msomi, Basiiraa Moosa, Chioma Okoro

CIB Conferences

In the contemporary landscape of data collection in the property valuation industry, the objective is to enhance valuation sources that maximize both eligibility and accuracy, ultimately leading to superior results in property valuations. This study employs a qualitative approach to explore the benefits and challenges of using satellite imagery as a source of data collection. The analysis draws on secondary data gathered from scholarly articles accessible on Google Scholar and Scopus, supplemented by ancillary data from property market portals, including industry reports and legislative Acts to create a structured understanding of new technologies in a traditional field. The research scrutinizes …

Digital Data Storytelling For Sustainability Education Of A Green Building Project, Laura Almeida Dr, Sepani Senaratne, Srinath Perera

CIB Conferences

Education for Sustainability has been facing an increasing demand not only due to the priorities established by the United Nations Educational, Scientific and Cultural Organization (UNESCO) but also by being one of the main targets of the Sustainable Development Goals (SDGs). In this paper, digital data storytelling and project/problem-based learning approaches were investigated as effective tools for teaching sustainability to university students. Two groups of students, postgraduate and undergraduate, were selected to be exposed to a video showcasing sustainable principles and strategies implemented during the certification of a green building. With collaboration from industry partners, the video is intended to …

Future Perspectives On Enhancing The Delivery Of Construction Projects Based On Bim Technology, Hosam Hegazy, Meta Soy, Jiansong Zhang

CIB Conferences

Recently, the construction industry stakeholders in developed and developing countries have been utilizing advanced technologies such as building information modeling (BIM) to help with the delivery of construction projects. This study aims to provide a future perspective on enhancing project delivery using BIM. In this paper, the authors explore the role of BIM in the delivery of a construction project throughout its lifecycle. This paper highlights the findings and benefits of BIM to explore BIM's future use perspectives in the construction industry. Survey result indicates that the BIM applications are still limited, and further efforts are needed to improve its …

Computing Infiltration For Sewer Asset Management, David Devine, Philip S. Dunston

CIB Conferences

Sanitary sewer flows are greatly impacted by infiltration and inflow (I&I), which is water that enters the sewer but is not wastewater. The presence of increased wastewater flows due to I&I increases costs to wastewater utilities and ultimately the public as well as causes detrimental impact to the environment. Water measurement techniques, both from water distribution systems and also from wastewater collection systems, available now, allow near real time data collection that has not been possible in the past. The potential to measure, for a well-defined system, water into the sewer system from a water distribution network and water out …

Energy: From Efficiency To Sufficiency, Laura Almeida Dr

CIB Conferences

Energy sufficiency emerges as the next step in driving sustainable developments to carbon neutrality. Energy is an existential component of modern societies subjected to geopolitical influences, resource availability, and type. The paradigm shift to fully electric societies and rapid urbanization calls for rethinking the roadmap to Net Zero. This paper explores energy sufficiency as complementary to efficiency and its integration within Net Zero. It intends to answer questions such as whether efficiency is enough to face the increasing demand for energy, renewable resources and reliable storage systems. Moreover, the paper briefly addresses the human impact on energy and questions how …

Construction Industry Capacity Evaluation: Using Business Intelligence For Data-Driven Insights, Azam Zavvari, Mostafa Babaeian Jelodar, Suzanne Wilkinson, Monty Sutrisna

CIB Conferences

Access to reliable capacity insights is critical for stakeholders in the construction industry, yet planning often suffers from uncertainties and inconsistent data. The goal of this research is to leverage data-driven business intelligence tools to evaluate and optimise the interplay of supply and demand in the construction industry, addressing capacity challenges while providing actionable insights for informed decision-making and strategic planning. This study adopts a mixed-methods approach, combining bibliometric analysis, a literature review, and a case study of Auckland, New Zealand. Using business intelligence tools, the research examines seasonal trends in project initiations and completions, resource inefficiencies, and contractor dependencies. …

Developing A Conceptual Model To Predict Disputes In Construction Projects Using Artificial Intelligence Technologies, Mathusha Francis, Srinath Perera, Wei Zhou, Samudaya Nanayakkara

CIB Conferences

The construction industry is a complex and competitive environment and disputes become more prevalent. The construction disputes negatively effect the cost, time and quality of the project. Further, disputes could result in the abandonment of projects and even the financial collapse of construction companies. Many researchers have attempted to mitigate disputes by addressing the causes of disputes, dispute avoidance techniques, and resolution methods from different perspectives. However, recent literature has evidenced that disputes remain a persistent threat in construction projects. The construction industry is attempting to transform into a technology-driven industry through the adoption of innovative concepts and technologies. In …

Mapping Responsible Workflows For Geospatial Data Science: Developing The I-Guide Data Ethics Toolkit, Peter T. Darch, Kyra M. Abrams, Ivan Y M Kong

I-GUIDE Forum

AI workflows in geospatial data science offer significant societal benefits but raise ethical, transparency, and reproducibility challenges. Current ethical frameworks and tools are often hard to integrate into daily research practice. This paper introduces the I-GUIDE Data Ethics Toolkit (DET), a lightweight suite designed for users of the NSF-funded Institute for Geospatial Understanding through an Integrative Discovery Environment (I-GUIDE). Based on a longitudinal mixed-methods study, including surveys, interviews, and observations, we identified five design priorities: usability, anticipatory planning, distributed responsibility, comprehensive coverage, and policy compliance. We integrated existing AI and data research lifecycles into an eight-stage I-GUIDE Research Lifecycle, serving …

Evaluating The Evaluation Matrices: Integrating Spatial Assessment In Geospatial Ai Model Training And Evaluation, Fangzheng Lyu

I-GUIDE Forum

This paper examines the limitations of current evaluation metrics in GeoAI. Through two case studies on deep learning models—a building detection classification problem and a remote sensing image fusion regression problem—this paper demonstrates how traditional statistical evaluation matrices alone can be misleading in geospatial problems. The findings indicate that traditional metrics (e.g., RMSE, MAE) used in current GeoAI models can have difficulty capturing the spatial dimensions inherent to geospatial problems. This paper suggests that the model evaluation process in GeoAI should move beyond traditional evaluation matrices by integrating spatial thinking throughout the modeling pipeline—not only incorporating spatial accuracy in model …

Expanding Access To Cybergis-Compute Through Support For Heterogeneous Workflows, Alexander C. Michels, Ian Zhang, Anand Padmanabhan, John Speaks, Rebecca Vandewalle, Shaowen Wang

I-GUIDE Forum

CyberGIS-Compute is a geospatial middleware tool designed to lower technical barriers to High-Performance Computing (HPC) resources. It provides end-users with a Graphical User Interface (GUI) for submitting models to HPC and allows model developers to contribute their workflows by adding a manifest to their repositories. However, the simplification of the user interface and streamlining of model contribution have unintentionally limited the scope of models that could be run on CyberGIS-Compute. In this paper, we discuss recent developments to the CyberGIS-Compute project that are aimed at supporting a wider variety of workflows including performance enhancements, supporting additional configuration options for jobs, …

Machine Learning-Based Variance Analysis Of Brightness Temperature In Simulated Satellite Footprints, Chhaya R. Kulkarni, Nikki Prive, Vandana P. Janeja

I-GUIDE Forum

This study investigates the variance in brightness temperature (BT) within simulated satellite footprints for Observing System Simulation Experiments (OSSE), focusing specifically on Channels 5 and 11 of the Advanced Microwave Sounding Unit (AMSU-A). High-resolution atmospheric simulations from the DYnamics of the Atmospheric general circulation Modeled On Non-hydrostatic Domains (DYAMOND) dataset were utilized to generate brightness temperature data using the Python interface for the Community Radiative Transfer Model (PyCRTM). A computational design map incorporating Random Forest and Association Rule Mining was employed to identify and validate key atmospheric variables influencing BT variance. This ensemble approach facilitated a deeper understanding of atmospheric …