If you try to ensure long-term human well-being within the limits of the natural world, then you design for sustainability. This Review organizes research describing how cognitive biases can hinder and help engineering design for sustainability. For example, designers might overlook climate change implications because of nearsighted thinking, a bias which can be overcome by vividly imagining the future. For researchers, this Review illuminates needs at the convergence of decision science and engineering design. For designers (that is, all of us), the Review promises new routes to sustainability, through changes to decision environments and through insights into our own design thinking.
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Transforming our World: The 2030 Agenda for Sustainable Development A/RES/70/1 (United Nations General Assembly, 2015).
International Energy Outlook 2016 (United States Energy Information Administration, 2016).
Currie, J. & Walker, R. Traffic congestion and infant health: evidence from E-ZPass. Am. Econ. J. Appl. Econ. 3, 65–90 (2011).
Hazelrigg, G. A. A framework for decision-based engineering design. J. Mech. Des. 120, 653–658 (1998).
Norman, D. The Design of Everyday Things: Revised and Expanded Edition (Basic Books, New York, NY, 2013).
Rowe, P. G. Design Thinking (MIT Press, Cambridge, MA, 1991).
Cross, N. Designerly ways of knowing. Des. Stud. 3, 221–227 (1982).
Lawson, B. How Designers Think (Architectural Press, Oxford, 2006).
Brown, T. Design thinking. Harv. Bus. Rev. 86, 84–95 (2008).
Friedman, M. Essays in Positive Economics (Univ. Chicago Press, Chicago, IL, 1953).
Simon, H. A. Models of Man: Social and Rational (Wiley, London, 1957).
Gigerenzer, G. in Contemporary Debates in Cognitive Science (ed. Stainton, R.) 115–133 (Blackwell, Oxford, 2006).
Tversky, A. & Kahneman, D. The framing of decisions and the psychology of choice. Science 211, 453–458 (1981).
Kahneman, D. & Tversky, A. Prospect theory: an analysis of decision under risk. Econometrica 47, 263–292 (1979).
Simon, H. A. Models of Bounded Rationality: Empirically Grounded Economic Reason (MIT Press, Cambridge, MA, 1982).
Consuming Differently, Consuming Sustainably: Behavioral Insights for Policymaking (United Nations Environment Programme, 2017).
Weber, E. U. Breaking cognitive barriers to a sustainable future. Nat. Hum. Behav. 1, 0013 (2017).
Decoupling Natural Resource Use and Environmental Impacts from Economic Growth: A Report of the Working Group on Decoupling to the International Resource Panel (United Nations Environment Programme, 2011).
Johnson, E. J. et al. Beyond nudges: tools of a choice architecture. Mark. Lett. 23, 487–504 (2012).
Thaler, R. & Sunstein, C. Nudge: Improving Decisions about Health, Wealth, and Happiness (Yale Univ. Press, New Haven, CT, 2008).
Behavioural Insights at the United Nations: Achieving Agenda 2030 (United Nations Development Programme, 2016).
World Development Report 2015: Mind, Society, and Behavior (World Bank, 2015).
Tackling Environmental Problems with the Help of Behavioural Insights (Organisation for Economic Co-operation and Development, 2017).
Eisenhardt, K. M. Agency theory: an assessment and review. Acad. Manag. Rev. 14, 57–74 (1989).
Hsee, C. K. & Weber, E. U. A fundamental prediction error: self–others discrepancies in risk preference. J. Exp. Psychol. Gen. 126, 45–53 (1997).
Greenwald, A. G., McGhee, D. E. & Schwartz, J. L. Measuring individual differences in implicit cognition: the implicit association test. J. Pers. Soc. Psychol. 74, 1464–1480 (1998).
Bell, A. E., Spencer, S. J., Iserman, E. & Logel, C. E. Stereotype threat and women’s performance in engineering. J. Eng. Educ. 92, 307–312 (2003).
Loosemore, M. & Tan, C. C. Occupational stereotypes in the construction industry. Constr. Manag. Econ. 18, 559–566 (2000).
Page, S. E. Diversity and Complexity (Princeton Univ. Press, Princeton, NJ, 2010).
Batson, C. D., Early, S. & Salvarani, G. Perspective taking: imagining how another feels versus imaging how you would feel. Pers. Soc. Psychol. Bull. 23, 751–758 (1997).
Rasoal, C., Danielsson, H. & Jungert, T. Empathy among students in engineering programmes. Eur. J. Eng. Educ. 37, 427–435 (2012).
Davis, M. H. Empathy: A Social Psychological Approach (Westview Press, Boulder, CO, 1996).
Kouprie, M. & Visser, F. S. A framework for empathy in design: stepping into and out of the user’s life. J. Eng. Des. 20, 437–448 (2009). This framework distils the psychology of empathy into a stepwise process tailored to engineering design.
Bloom, P. Against Empathy: The Case for Rational Compassion (Random House, New York, NY, 2016).
Wade-Benzoni, K. A. A golden rule over time: reciprocity in intergenerational allocation decisions. Acad. Manag. J. 45, 1011–1028 (2002).
Johnson, D. G. et al. An experimental investigation of the effectiveness of empathic experience design for innovative concept generation. J. Mech. Des. 136, 051009 (2014).
Pidgeon, N., Demski, C., Butler, C., Parkhill, K. & Spence, A. Creating a national citizen engagement process for energy policy. Proc. Natl. Acad. Sci. USA 111, 13606–13613 (2014).
Bal, M., Bryde, D., Fearon, D. & Ochieng, E. Stakeholder engagement: achieving sustainability in the construction sector. Sustainability 5, 695–710 (2013).
O’Hara, S. U. Community based urban development: a strategy for improving social sustainability. Int. J. Soc. Econ. 26, 1327–1343 (1999).
Markowitz, E. M. & Shariff, A. F. Climate change and moral judgement. Nat. Clim. Change 2, 243–247 (2012).
Walther, J., Miller, S. E. & Sochacka, N. W. A model of empathy in engineering as a core skill, practice orientation, and professional way of being. J. Eng. Educ. 106, 123–148 (2017).
Strobel, J., Hess, J., Pan, R. & Wachter Morris, C. A. Empathy and care within engineering: qualitative perspectives from engineering faculty and practicing engineers. Eng. Stud. 5, 137–159 (2013).
Hess, J. L., Strobel, J. & Pan, R. Voices from the workplace: practitioners’ perspectives on the role of empathy and care within engineering. Eng. Stud. 8, 212–242 (2016).
Schultz, P. W., Nolan, J. M., Cialdini, R. B., Goldstein, N. J. & Griskevicius, V. The constructive, destructive, and reconstructive power of social norms. Psychol. Sci. 18, 429–434 (2007).
Southwell, B. G. & Murphy, J. Weatherization behavior and social context: the influences of factual knowledge and social interaction. Energy Res. Soc. Sci. 2, 59–65 (2014).
Noonan, D. S., Hsieh, C. & Matisoff, D. Spatial effects in energy-efficient residential HVAC technology adoption. Environ. Behav. 45, 476–503 (2013).
Vermeulen, W. & Hovens, J. Competing explanations for adopting energy innovations for new office buildings. Energy Policy 34, 2719–2735 (2006).
Dieperink, C., Brand, I. & Vermeulen, W. Diffusion of energy-saving innovations in industry and the built environment: Dutch studies as inputs for a more integrated analytical framework. Energy Policy 32, 773–784 (2004).
Kontokosta, C. Greening the regulatory landscape: the spatial and temporal diffusion of green building policies in US cities. J. Sustain. Real. Estate 3, 68–90 (2011).
Nyborg, K. et al. Social norms as solutions. Science 354, 42–43 (2016).
Johnson, E. & Goldstein, D. Do defaults save lives? Science 302, 1338–1339 (2003).
Ebeling, F. & Lotz, S. Domestic uptake of green energy promoted by opt-out tariffs. Nat. Clim. Change 5, 868–871 (2015).
Hardisty, D. J., Johnson, E. J. & Weber, E. U. A dirty word or a dirty world? Attribute framing, political affiliation, and query theory. Psychol. Sci. 21, 86–92 (2010).
Shealy, T., Klotz, L., Weber, E. U., Johnson, E. J. & Bell, R. G. Using framing effects to inform more sustainable infrastructure design decisions. J. Constr. Eng. Manag. 142, 04016037 (2016). Restructuring a rating system for sustainable infrastructure to invoke the endowment effect can bolster engineers’ resolve for achieving sustainable designs.
Shealy, T. & Klotz, L. Well-endowed rating systems: how modified defaults can lead to more sustainable performance. J. Constr. Eng. Manag. 141, 04015031 (2015).
Wiek, A. & Iwaniec, D. Quality criteria for visions and visioning in sustainability science. Sustain. Sci. 9, 497–512 (2014).
Kishita, Y., Hara, K., Uwasu, M. & Umeda, Y. Research needs and challenges faced in supporting scenario design in sustainability science: a literature review. Sustain. Sci. 11, 331–347 (2016). This review collates an array of sustainability scenarios and extracts common features for reference in designing future scenarios.
Rumore, D., Schenk, T. & Susskind, L. Role-play simulations for climate change adaptation education and engagement. Nat. Clim. Change 6, 745–750 (2016).
Wu, J. S. & Lee, J. J. Climate change games as tools for education and engagement. Nat. Clim. Change 5, 413–418 (2015).
Rai, V. & Beck, A. L. Play and learn: serious games in breaking informational barriers in residential solar energy adoption in the United States. Energy Res. Soc. Sci. 27, 70–77 (2017). The application of serious games can surmount misgivings about the cost of residential solar energy.
Aronson, E. The theory of cognitive dissonance: a current perspective. Adv. Exp. Soc. Psychol. 4, 1–34 (1969).
Bem, D. J. Self-perception theory. Adv. Exp. Soc. Psychol. 6, 1–62 (1972).
Weber, E. U. Climate change demands behavioral change: what are the challenges? Soc. Res. Int. Q. 82, 561–580 (2015).
Pellegrini-Masini, G. & Leishman, C. The role of corporate reputation and employees’ values in the uptake of energy efficiency in office buildings. Energy Policy 39, 5409–5419 (2011).
Corbett, C. J. & Muthulingam, S. Adoption of voluntary environmental standards: the role of signaling and intrinsic benefits in the diffusion of the LEED green building standards. Preprint at http://dx.doi.org/10.2139/ssrn.1009294 (2007).
Evans, L. et al. Self-interest and pro-environmental behaviour. Nat. Clim. Change 3, 122–125 (2013).
Wade-Benzoni, K. A., Tost, L. P., Hernandez, M. & Larrick, R. P. It’s only a matter of time: death, legacies, and intergenerational decisions. Psychol. Sci. 23, 704–709 (2012).
Truelove, H. B., Carrico, A. R., Weber, E. U., Raimi, K. T. & Vandenbergh, M. P. Positive and negative spillover of pro-environmental behavior: an integrative review and theoretical framework. Glob. Environ. Change 29, 127–138 (2014).
Slovic, P. The construction of preference. Am. Psychol. 50, 364–371 (1995).
Tversky, A. & Kahneman, D. Judgment under uncertainty: heuristics and biases. Science 185, 1124–1131 (1974).
Jansson, D. G. & Smith, S. M. Design fixation. Des. Stud. 12, 3–11 (1991).
Linsey, J. S. et al. A study of design fixation, its mitigation and perception in engineering design faculty. J. Mech. Des. 132, 041003 (2010).
Viswanathan, V. K. & Linsey, J. S. Design fixation and its mitigation: a study on the role of expertise. J. Mech. Des. 135, 051008 (2013).
Viswanathan, V. K. & Linsey, J. S. Physical models and design thinking: a study of functionality, novelty and variety of ideas. J. Mech. Des. 134, 091004 (2012).
Chrysikou, E. G. & Weisberg, R. W. Following the wrong footsteps: fixation effects of pictorial examples in a design problem-solving task. J. Exp. Psychol. Learn. Mem. Cogn. 31, 1134–1148 (2005).
Beamish, T. D. & Biggart, N. W. The role of social heuristics in project-centred production networks: insights from the commercial construction industry. Eng. Proj. Organ. J. 2, 57–70 (2012). In the commercial building industry, social heuristics aid communication but limit innovation by solidifying design norms.
Sio, U. N., Kotovsky, K. & Cagan, J. Fixation or inspiration? A meta-analytic review of the role of examples on design processes. Des. Stud. 39, 70–99 (2015). Presenting a single uncommon example in design promotes high-quality, novel ideas and decreases the likelihood of design fixation.
Klotz, L., Mack, D., Klapthor, B., Tunstall, C. & Harrison, J. Unintended anchors: building rating systems and energy performance goals for US buildings. Energy Policy 38, 3557–3566 (2010).
Harris, N., Shealy, T. & Klotz, L. How exposure to “role model” projects can lead to decisions for more sustainable infrastructure. Sustainability 8, 130–138 (2016).
Bhattacharyya, A., Jin, W., Le Floch, C., Chatman, D. G. & Walker, J. L. Nudging people towards more sustainable residential choice decisions: an intervention based on focalism and visualization. In 14th International Conference on Travel Behavior and Research (IATBR, 2015).
Christensen, B. T. & Schunn, C. D. The relationship of analogical distance to analogical function and preinventive structure: the case of engineering design. Mem. Cogn. 35, 29–38 (2007).
Casakin, H. P. & Goldschmidt, G. Reasoning by visual analogy in design problem-solving: the role of guidance. Environ. Plann. B Plann. Des. 27, 105–119 (2000).
She, J. & MacDonald, E. Priming designers to communicate sustainability. J. Mech. Des. 136, 011001 (2014).
Cash, D. W. et al. Knowledge systems for sustainable development. Proc. Natl. Acad. Sci. USA 100, 8086–8091 (2003).
Kahneman, D. & Tversky, A. Intuitive Prediction: Biases and Corrective Procedures (Decisions and Designs, Eugene, OR, 1977).
Flyvbjerg, B., Holm, M. S. & Buhl, S. Underestimating costs in public works projects: error or lie? J. Am. Plann. Assoc. 68, 279–295 (2002).Budget estimates for public works projects systematically underestimate actual costs.
Pickrell, D. H. A desire named streetcar: fantasy and fact in rail transit planning. J. Am. Plann. Assoc. 58, 158–176 (1992).
Kahneman, D. & Lovallo, D. Timid choices and bold forecasts: a cognitive perspective on risk taking. Manag. Sci. 39, 17–31 (1993).
Cha, E. J. & Ellingwood, B. R. Risk-averse decision-making for civil infrastructure exposed to low-probability, high-consequence events. Reliab. Eng. Syst. Saf. 104, 27–35 (2012).
Kiparsky, M. et al. Barriers to innovation in urban wastewater utilities: attitudes of managers in California. Environ. Manag. 57, 1204–1216 (2016).
Flyvbjerg, B., Garbuio, M. & Lovallo, D. Delusion and deception in large infrastructure projects: two models for explaining and preventing executive disaster. Calif. Manag. Rev. 51, 170–193 (2009).
Kunreuther, H. et al. Risk management andclimate change. Nat. Clim. Change 3, 447–450 (2013).
Loewenstein, G. & Elster, J. Choice over Time (Russell Sage Foundation, New York, NY, 1992).
Costanza, R. et al. The value of the world’s ecosystem services and natural capital. Nature 387, 253–260 (1997).
Jacquet, J. et al. Intra-and intergenerational discounting in the climate game. Nat. Clim. Change 3, 1025–1028 (2013).
Lee, J. Y. & Ellingwood, B. R. Ethical discounting for civil infrastructure decisions extending over multiple generations. Struct. Saf. 57, 43–52 (2015).
Cantarelli, C. C., Flyvbjerg, B., van Wee, B. & Molin, E. J. Lock-in and its influence on the project performance of large-scale transportation infrastructure projects: investigating the way in which lock-in can emerge and affect cost overruns. Environ. Plann. B Plann. Des. 37, 792–807 (2010).
Viswanathan, V. K. & Linsey, J. S. Role of sunk cost in engineering idea generation: an experimental investigation. J. Mech. Des. 135, 121002 (2013). Design fixation is linked to feelings of sunk costs due to the time, cost and effort spent creating a model.
Evins, R. A review of computational optimisation methods applied to sustainable building design. Renew. Sustain. Energy Rev. 22, 230–245 (2013).
Payne, J. W., Bettman, J. R. & Johnson, E. J. The Adaptive Decision Maker (Cambridge Univ. Press, Cambridge, 1993).
Zaval, L., Keenan, E. A., Johnson, E. J. & Weber, E. U. How warm days increase belief in global warming. Nat. Clim. Change 4, 143–147 (2014).
Daly, S. R., Yilmaz, S., Christian, J. L., Seifert, C. M. & Gonzalez, R. Design heuristics in engineering concept generation. J. Eng. Educ. 101, 601–629 (2012). Over 60 rules of thumb used in engineering design are assembled and described.
Baddeley, A. Working memory: theories, models, and controversies. Annu. Rev. Psychol. 63, 1–29 (2012).
Arroyo, P., Tommelein, I. D., Ballard, G. & Rumsey, P. Choosing by advantages: a case study for selecting an HVAC system for a net zero energy museum. Energy Build. 111, 26–36 (2016).
Arroyo, P., Fuenzalida, C., Albert, A. & Hallowell, M. R. Collaborating in decision making of sustainable building design: an experimental study comparing CBA and WRC methods. Energy Build. 128, 132–142 (2016).
Gifford, R. Environmental Psychology: Principles and Practice. (Optimal Books, Colville, WA, 2007).
Deuble, M. P. & de Dear, R. J. Green occupants for green buildings: the missing link? Build. Environ. 56, 21–27 (2012).
Hewitt, E. L. et al. Distinguishing between green building occupants’ reasoned and unplanned behaviours. Build. Res. Inf. 44, 119–134 (2016).
National Research Council Convergence: Facilitating Transdisciplinary Integration of Life Sciences, Physical Sciences, Engineering, and Beyond (National Academies Press, 2014).
Wang, M., Rieger, M. O. & Hens, T. The impact of culture on loss aversion. J. Behav. Decis. Mak. 30, 270–281 (2017).
Benartzi, S. et al. Should governments invest more in nudging? Psychol. Sci. 28, 1041–1055 (2017).
National Academies of Sciences and Engineering The Value of Social, Behavioral, and Economic Sciences to National Priorities: A Report for the National Science Foundation (National Academies Press, 2017).
Stern, P. C., Sovacool, B. K. & Dietz, T. Towards a science of climate and energy choices. Nat. Clim. Change 6, 547–555 (2016).
Hellström, T. Dimensions of environmentally sustainable innovation: the structure of eco-innovation concepts. Sustain. Dev. 15, 148–159 (2007).
This material is based on work supported by the US National Science Foundation through grant number 153104.
The authors declare no competing interests.
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Klotz, L., Weber, E., Johnson, E. et al. Beyond rationality in engineering design for sustainability. Nat Sustain 1, 225–233 (2018). https://doi.org/10.1038/s41893-018-0054-8
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