On Thursday, March 21st, the Change Stories team gathered for the final day of shared learning sessions. The first session was focused on developing a theory of change for the project. Small group discussions returned to topics from previous days, including how to effectively apply the decolonial research approach that is at the core of this work together. Deconstructing the initially drafted theory of change, the group identified the importance of co-creating guiding materials for the project. We enjoyed our…
Research Theme: Design & Building
Built environment scholarship at the scales of the interior space to the building
Automating building environmental assessment: A systematic review and future research directions
T.A.D.K. Jayasanka, Amos Darko, D.J. Edwards, Albert P.C. Chan, Farzad Jalaei, Automating building environmental assessment: A systematic review and future research directions, Environmental Impact Assessment Review, Volume 106, 2024, 107465, ISSN 0195-9255, https://doi.org/10.1016/j.eiar.2024.107465.
Abstract
Building environmental assessment (BEA) is critical to improving sustainability. However, the BEA process is inefficient, costly, and often inaccurate. Because automation has the potential to enhance the efficiency and accuracy of the BEA process, studies have focused on automating BEA (ABEA). Updated until now, a comprehensive analysis of prevailing literature on ABEA remains absent. This study conducts the first comprehensive systematic analysis appraising the state-of-the-art of research on ABEA. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guided to systematically analyse 91 relevant studies. Results uncover that only 29.7% of BEA systems worldwide have automated their processes, with the US LEED residing at the vanguard of automation efforts. The New Buildings scheme was mostly focused on, while largely ignoring other schemes, e.g., Existing Buildings. Five key digital approaches to ABEA were revealed, namely building information modelling (BIM) and plug-in software, BIM-ontology, data mining and machine learning, cloud-BIM, and digital twin-based approaches. Based on identified gaps, future research directions are proposed, specifically: using data mining and machine learning models for ABEA; development of a holistic cloud-based approach for real-time BEA; and digital twin for dynamic BEA. This study generates a deeper understanding of ABEA and its theoretical implications, such as major constructs and emerging perspectives, constitute a basis for holistic, and innovation in, BEA.
Day 3 of the Change Stories Residential Knowledge Exchange
On Wednesday, March 20th, the Change Stories team began the day with a site visit to the Manzana del Cuidado de Cuidad Bolivar (Block of Care in Bolivar). The bus dropped off the group at the TransMiCable cable car, which connects the people on a steep hillside to transportation and other resources. The TransMiCable costs $2300 pesos per trip – around US$0.70, and includes 163 cabins with room for 10 passengers each. Before the TransMiCable connected these communities, the walk…
Day 2 of Change Stories Residential Knowledge Exchange
Tuesday, March 19th, the Change Stories residential knowledge exchange group experienced a full day of shared learning sessions. Morning sessions included full discussions from the US community based organization team members, followed by a discussion about decolonializing research. The discussions were full and many perspectives, methods, and expertises’ were shared from different teams and institutions. Tuesday included a beautiful walk to lunch at a restaurant on the Universidad de los Andes campus; the variety of building design on campus was…
Day one of Change Stories residential knowledge exchange event
Monday, March 18th at 8am, individuals gathered in the hotel lobby; many people were meeting for the first time, some were long-term colleagues or past co-workers. Some participates were able to explore the city for a day or two before official activities began. Travel experiences were shared, first experiences in Bogotá were highlighted; on Sunday, a group participated in the Bogotá weekly Ciclovía, and experienced a free public Zumba exercise class in a local park. Boarding the bus, many…
Change Stories project begins 4-day residential event in Bogotá, Colombia
The Change Stories project is an research project with collaboration from academics and their community-based partners in Belfast (Queen’s University), Northern Ireland, Belo Horizonte (Federal University of Minas Gerais Brazil and Observatory for Urban Health), Brazil, and Bogotá (Universidad de los Andes), Colombia. Additional collaborators include USA and Internationally-based advisory group members, who work within their communities. The project is funded by the Robert Wood Johnson Foundation. The 3 case study cities in the Change Stories project are Belfast, Northern…
Artificial Intelligence in Performance-Driven Design: Theories, Methods, and Tools
Abstract
Artificial Intelligence in Performance-Driven Design: Theories, Methods, and Tools explores the application of artificial intelligence (AI), specifically machine learning (ML), for performance modeling within the built environment. This work establishes the theoretical foundations and methodological frameworks for utilizing AI/ML, with an emphasis on multi-scale modeling encompassing energy flows, environmental quality, and human systems.
The book examines relevant practices, case studies, and computational tools that harness AI's capabilities in modeling frameworks, enhancing the efficiency, accuracy, and integration of physics-based simulation, optimization, and automation processes. Furthermore, it highlights the integration of intelligent systems and digital twins throughout the lifecycle of the built environment, to enhance our understanding and management of these complex environments.
This book also:
• Incorporates emerging technologies into practical ideas to improve performance analysis and sustainable design
• Presents data-driven methodologies and technologies that seamlessly integrate into modeling and design platforms
• Shares valuable insights for developing decarbonization pathways in urban buildings
• Includes contributions from expert researchers and educators across a range of related fields
Artificial Intelligence in Performance-Driven Design is ideal for architects, engineers, planners, and researchers involved in sustainable design and the built environment. It’s also of interest to students of architecture, building science and technology, urban design and planning, environmental engineering, and computer science and engineering.
An Ontological Analysis for Comparison of the Concepts of Sustainable Building and Intelligent Building
Borhani, A., Borhani, A., Dossick, C. S., & Jupp, J. (2024). An Ontological Analysis for Comparison of the Concepts of Sustainable Building and Intelligent Building. Journal of Construction Engineering and Management, 150(4). https://doi.org/10.1061/JCEMD4.COENG-13711
Abstract
The concept of intelligent building is emerging in the contemporary built environment. Intelligent buildings aim to leverage digital technologies and information throughout the building’s life cycle (design, construction, and operation phases) to improve the building’s performance and value. In recent years, academic scholars and industry practitioners have made efforts to articulate the intelligent building concept and identify its components. However, there is still no commonly accepted definition for the term intelligent (or smart) building. Furthermore, the term is used interchangeably with similar terms such as sustainable building and high-performance building. The primary gaps in research are the lack of a holistic and clearly defined list of intelligent building components. This gap limits building stakeholders’ abilities to decide which technologies to implement in their buildings, prove its capabilities and advantages, and improve its performance. In response to the identified gaps, this research conceptualizes intelligent building in comparison with the concept of sustainable building. We identified the key components that each concept entails and conducted a comparative analysis of the identified components. The findings of this research include a categorization of intelligent building’s definitions which helps to conceptualize intelligent building and distinguish it from other similar concepts. In addition, the research team used the developed ontologies for intelligent and sustainable buildings to provide a fundamental overview of the structure of building evaluation systems and their different approaches for determining evaluation criteria. Overall, this study contributes to the body of knowledge by identifying and classifying components of intelligent buildings, which is a prerequisite for intelligent buildings’ evaluation. It also makes a distinction between the concepts of intelligent building and sustainable building in order to determine their context and applications.
Incentive-based coordination for scheduled delivery in prefab construction
Kim, Y.-W., & Rhee, B.-D. (2024). Incentive-based coordination for scheduled delivery in prefab construction. Construction Management and Economics, 1–16. https://doi.org/10.1080/01446193.2024.2305763.
Abstract
An increasing number of projects are adopting prefabrication to economize on time, labor, and materials in fixed-position layout operations, such as construction, ship building, and aircraft manufacturing. In such contexts, independent contractor and fabricator make interdependent decisions, which calls for prudent supply chain management because performance relies on coordination between their decisions. Many studies have developed integrated systems and propose various algorithms for scheduling efficiency and reliability. Nevertheless, they pay scant attention to conflicting interests amongst independent partners, which may result in subpar performance not only for the supplier but for the contractor as well. Coordination of conflicting interests has been extensively studied in economics and supply chain management; yet, those studies focus on order-quantity decisions under demand uncertainty for profit maximization, while managers in fixed-position operations are more concerned about delivery decisions under scheduling uncertainty for cost minimization. We consider the case of construction and explore a contractual scheme that aligns the agents' decisions for coordination in a construction supply chain. Specifically, we propose a supplier rebate for coordination: the supplier grants a rebate if the contractor accepts the shipment in accordance with the delivery schedule that the contractor initially chose. We show that the optimal rebate fully coordinates the supply chain to minimize the joint supply chain costs. Thus, both the contractor and supplier benefit from the coordination by negotiating a mutually acceptable way to allocate the savings in joint costs between them. We further show that the rebate motivates the contractor to enhance its work scheduling.
Keywords
Construction supply chain; coordination; delivery schedule reliability; prefabrication; rebate for scheduled delivery
Guest editorial: Public private partnerships: past, present and future
Laishram, B., Devkar, G., Ke, Y., & Aziz, A. A. (2024). Guest editorial: Public private partnerships: past, present and future. Built Environment Project and Asset Management, 14(1), 1–3. https://doi.org/10.1108/BEPAM-02-2024-207.