Twenty questions about design behavior for sustainability, report of the International Expert Panel on behavioral science for design

How behavioral scientists, engineers, and architects can work together to advance how we all understand and practice design—in order to enhance sustainability in the built environment, and beyond.https://www.nature.com/documents/design_behavior_for_sustainability.pdfPublished versio

Sustainable Construction Risk Perceptions in the Kuwaiti Construction Industry

Sustainable construction is fundamentally different than traditional construction because it requires whole systems thinking, early collaboration across stakeholders, and core principles like reducing resource consumption, eliminating toxins, and applying life cycle costing. Construction professionals unfamiliar with this mindset and approach may perceive sustainable construction as risky. One of the global regions in need of more sustainable construction is the Middle Eastern and North African (MENA) region. The MENA region is one of the fastest developing in the world. However, it is the slowest one in implementing sustainable construction practices. Kuwait, in particular, contributes 53% more carbon emissions per capita than the United States. To understand how the Kuwaiti construction industry perceives risks associated with more sustainable construction, a survey was developed with 52 risk elements in which 131 industry professionals responded. The results indicate that industry professionals perceive a lack of public awareness as the risk element with the highest probability of occurrence. The risk element with the highest possible negative impact on future projects is designers’ and contractors’ inexperience with sustainable construction. Other risks were found to include a high initial cost for materials and overall project costs. Educational interventions, changes in risk allocation, and behavioral science to reframe upfront costs as long-term savings are offered as possible solutions

Encouraging Elegant Solutions by Applying Choice Architecture to Infrastructure Project Delivery

Meeting the national infrastructure challenges will require that an answer to the question posed by the National Academy of Engineering (NAE): "How can the processes be more effective, more quality conscious, more flexible, simpler, and less expensive?" In this paper, the authors share one approach to identify solutions meeting the "simpler" characteristic of NAE's question. Through an interdisciplinary literature review, the authors characterize "elegant" solutions—those that meet user needs with minimal complexity. Whereas elegance can appear simple in hindsight, it represents a deeper understanding of the actual problem. As with other project outcomes, elegance is dependent on infrastructure project delivery processes: an owner who contracts with a designer to provide a reduction in traffic is encouraging a more elegant solution than an owner who specifies that the designer must add an additional lane. Behavioral scientists have developed choice architecture theory, which is being applied to improve decision processes in fields from medicine to law to finance. The authors believe choice architecture also could be used to arrange infrastructure delivery processes to encourage elegance. The authors describe the reasoning by connecting behavioral science theory and common infrastructure project delivery scenarios. The authors hope this paper begins a discussion to identify and motivate future research in this area

Removing certainty from the equation: Using choice architecture to increase awareness of risk in engineering design decision making

The mediated model of determinants for risky decision making theorizes that decision making is influenced by a decision makers risk propensity and risk perception. Risk propensity is an individual's tendency to take or avoid risks. Where as risk perception is the decision makers’ assessment of how risky a situation is in terms of probabilistic estimates. Risk perception is also influenced by risk representation, which is the way risk is presented to the decision-maker. Modifications were made to the choice architecture of a trade-off matrix to test whether representing risks as embedded characteristics of design options influences engineering choice. Senior civil engineering students (n=98) were asked to consider trade-off matrices for two design options using criteria provided in a decision scenario. Half of the participants randomly received the control version of the trade-off matrix where risk was shown as an additional sixth criteria. The other half of participants received the modified tradeoff matrix where risk shown as a confidence interval. Illustrating risk as a separate criteria appears to significantly (p=0.04) influence users decision making leading participants to discount risk. Nearly 70% chose the more risky option. Yet, when risk was shown as a confidence interval participants were evenly split between the high and low risky option. The risk representation seems to meditate or counter balance those with a high propensity for risk. When controlling for risk propensity the results are even more significant (p=0.02). Meaning, those with high risk propensity more frequently choose the risky choice given the control version (as expected) but that did not hold true for the modified version, when shown as a confidence interval. Understanding how decisions are influenced by risk representation can lead to designing choice architecture that helps engineers and contractors make decisions that are in their own, or their clients’ best interests

Choice Architecture as a Way to Encourage a Whole Systems Design Perspective for More Sustainable Infrastructure

Across fields, more sustainable and resilient outcomes are being realized through a whole systems design perspective, which guides decision-makers to consider the entire system affected including interdependent physical and social networks. Although infrastructure is extremely interdependent, consisting of diverse stakeholders and networks, the infrastructure design and construction process is often fragmented. This fragmentation can result in unnecessary tradeoffs, leading to poor outcomes for certain stakeholders and the surrounding environment. A whole systems design perspective would help connect this fragmented industry and lead to more sustainable outcomes. For example, a whole systems design approach to relieve traffic on a highway might see beyond the obvious, but often ineffective, response of adding a new vehicle lane to encourage a solution such as repurposing existing road lanes from automobiles to above-ground “subway” systems. This paper discusses influences to whole systems design and how intentional choice architecture, meaning the way decisions are posed, can nudge decision-makers to employ whole systems design and result in more sustainable infrastructure. By uncovering these influences and organizing them by the social, organizational, and individual levels of the infrastructure design process, this paper provides the needed foundation for interdisciplinary research to help harness these influences through choice architecture and whole systems design for the infrastructure industry

Cognitive differences among first-year and senior engineering students when generating design solutions with and without additional dimensions of sustainability

International audienceThe research presented in this paper explores how engineering students cognitively manage concept generation and measures the effects of additional dimensions of sustainability on design cognition. Twelve first-year and eight senior engineering students generated solutions to 10 design problems. Half of the problems included additional dimensions of sustainability. The number of unique design solutions students developed and their neurocognitive activation were measured. Without additional requirements for sustainability, first-year students generated significantly more solutions than senior engineering students. First-year students recruited higher cortical activation in the brain region generally associated with cognitive flexibility, and divergent and convergent thinking. Senior engineering students recruited higher activation in the brain region generally associated with uncertainty processing and self-reflection. When additional dimensions of sustainability were present, first-year students produced fewer solutions. Senior engineering students generated a similar number of solutions. Senior engineering students required less cortical activation to generate a similar number of solutions. The varying patterns of cortical activation and different number of solutions between first-year and senior engineering students begin to highlight cognitive differences in how students manage and retrieve information in their brain during design. Students’ ability to manage complex requirements like sustainability may improve with education

Higher Perceived Design Thinking Traits and Active Learning in Design Courses Motivate Engineering Students to Tackle Energy Sustainability in Their Careers

Engineers play an important role in implementing the Sustainable Development Goals defined by the United Nations, which aim to provide a more sustainable environment for future generations. Through design thinking, creativity, and innovation, sustainable engineering solutions can be developed. Future engineers need to acquire skills in their engineering curriculum to feel equipped to address sustainable design challenges in their career. This paper focuses on the impact of perceived design thinking traits and active learning strategies in design courses to increase senior engineering students’ motivation to engage in energy sustainability in their career. A national survey was distributed to senior engineering students in the United States (n = 4364). The survey asked students about their motivation to engage in sustainable design, their perceived design thinking traits (i.e., integrative feedback, collaboration), and if they experienced active learning strategies in design courses (i.e., learning by doing). The results highlight that higher perceived design thinking ability increases senior engineering students’ interests in designing solutions related to energy sustainability. Active learning experiences positively influence senior engineering students’ interests in designing solutions related to energy sustainability. These findings show the importance of teaching design thinking in engineering courses to empower future engineers to address sustainable challenges through design and innovation

How Exposure to ”Role Model” Projects Can Lead to Decisions for More Sustainable Infrastructure

A role model, whether an individual or a project, can inspire similar performance in others. This research examines such a phenomenon during the design process for more sustainable physical infrastructure. In this empirical study, engineering professionals (n = 54) were randomly assigned either a modified version of the Envision rating system for sustainable infrastructure, which was changed to include details from an exemplary role model project, or the current version of Envision, with no role model. Professionals given the role model version of Envision achieved on average 34% more points (SD = 27) than the control group (p = 0.001). A positive role model project appears to lead engineering professionals to higher goals for sustainability performance in their design decisions. This finding, and the corresponding line of interdisciplinary research, can be used in decision-structuring interventions, which are a relatively low-cost approach to support greater sustainability in physical infrastructure development