Choice Architecture at Scale: Reimagining the Built Environment as a Population Health Intervention

Authors

Andrew L. McCart

PhD, FACHE, Associate Professor, Health Care Management Department of Nutrition and Health Care Management Beaver College of Health Sciences Appalachian State University Boone, NC (USA.)

Deven R. McCart

DNP, RN BSN, Theory Faculty International College of Health Sciences, Boynton Beach, Florida (USA.)

Ashley V. Parks

DrPH, MPH, MBA, MTech, MCHES, CPH, CPHQ, CHFP, CLSSSBB, CPHRM, PMP, Online Flight Path HCM Program Director, Assistant Professor Department of Nutrition and Health Care Management Appalachian State University (USA.)

Article Information

DOI: 10.47772/IJRISS.2026.100601385

Subject Category: Architecture

Volume/Issue: 10/6 | Page No: 20246-20271

Publication Timeline

Submitted: 2026-07-07

Accepted: 2026-07-12

Published: 2026-07-21

Abstract

Background: Chronic diseases such as obesity, diabetes, cardiovascular disease, and depression continue to impose substantial health and economic burdens worldwide. Traditional public health interventions have frequently emphasized individual responsibility through education and behavior change programs, yet environmental conditions often influence health behaviors more than knowledge alone. The built environment, including transportation systems, housing, food access infrastructure, parks, schools, and workplaces, represents a critical but underutilized determinant of population health.
Purpose: This article proposes a policy-oriented framework for leveraging the built environment as a large-scale form of choice architecture capable of making healthy behaviors the default option across communities.
Conceptual Framework: Drawing upon the Social Ecological Model, behavioral economics, population health theory, and health equity literature, the article develops the Healthy Defaults Framework. The framework identifies five domains through which built environments influence health behaviors: accessibility, convenience, safety, social norms, and equity. These domains provide a practical structure for designing and evaluating health-promoting environments across multiple policy sectors.
Discussion: The framework is applied to key built environment domains, including transportation systems, food environments, parks and green space, housing, schools, and workplaces. Policy levers at the federal, state, local, and cross-sector levels are examined as mechanisms for implementation. The article proposes a multidimensional evaluation model linking built environment investments to process metrics, behavioral changes, health outcomes, and economic outcomes. Special attention is given to health equity, historical patterns of disinvestment, and strategies to prevent unintended consequences such as displacement and green gentrification.
Conclusions: Public health improvements may be achieved more effectively by redesigning environments rather than attempting to persuade individuals to make healthier choices. By embedding healthy defaults into community design, policymakers can promote healthier behaviors, reduce chronic disease burden, advance health equity, and generate long-term value. Future research should test the framework and evaluate its effectiveness across diverse populations and settings.

Keywords

built environment; population health; health policy; behavioral economics; choice architecture; social determinants of health; health equity; urban planning; prevention; public health

Downloads

References

1. Afshin, A., Sur, P. J., Fay, K. A., et al. (2019). Health effects of dietary risks in 195 countries, 1990–2017: A systematic analysis for the Global Burden of Disease Study 2017. The Lancet, 393(10184), 1958–1972. [Google Scholar] [Crossref]

2. Allen, J. G., MacNaughton, P., Laurent, J. G. C., Flanigan, S. S., Eitland, E. S., & Spengler, J. D. (2015). Green buildings and health. Current Environmental Health Reports, 2(3), 250–258. [Google Scholar] [Crossref]

3. Allam, Z., & Dhunny, Z. A. (2019). On big data, artificial intelligence and smart cities. Cities, 89, 80–91. [Google Scholar] [Crossref]

4. American Heart Association. (2023). Food is medicine: A presidential advisory from the American Heart Association. Circulation, 148(18), e702–e731. [Google Scholar] [Crossref]

5. Anguelovski, I., Connolly, J. J. T., Garcia-Lamarca, M., Cole, H., Pearsall, H., Triguero-Mas, M., Baró, F., Martin, N., & Shokry, G. (2019). New scholarly pathways on green gentrification. City, 23(3–4), 1–19. [Google Scholar] [Crossref]

6. Batty, M., Axhausen, K. W., Giannotti, F., Pozdnoukhov, A., Bazzani, A., Wachowicz, M., Ouzounis, G., & Portugali, Y. (2012). Smart cities of the future. The European Physical Journal Special Topics, 214(1), 481–518. [Google Scholar] [Crossref]

7. Baumeister, R. F., Bratslavsky, E., Muraven, M., & Tice, D. M. (1998). Ego depletion: Is the active self a limited resource? Journal of Personality and Social Psychology, 74(5), 1252–1265. [Google Scholar] [Crossref]

8. Braveman, P., & Gottlieb, L. (2014). The social determinants of health: It's time to consider the causes of the causes. Public Health Reports, 129(Suppl. 2), 19–31. [Google Scholar] [Crossref]

9. Bronfenbrenner, U. (1979). The ecology of human development: Experiments by nature and design. Harvard University Press. [Google Scholar] [Crossref]

10. Bullard, R. D., Johnson, G. S., & Torres, A. O. (2004). Highway robbery: Transportation racism and new routes to equity. South End Press. [Google Scholar] [Crossref]

11. Centers for Disease Control and Prevention. (2024). About chronic diseases. Atlanta, GA: Author. [Google Scholar] [Crossref]

12. Cialdini, R. B., & Goldstein, N. J. (2004). Social influence: Compliance and conformity. Annual Review of Psychology, 55, 591–621. [Google Scholar] [Crossref]

13. Cooksey-Stowers, K., Schwartz, M. B., & Brownell, K. D. (2017). Food swamps predict obesity rates better than food deserts in the United States. International Journal of Environmental Research and Public Health, 14(11), 1366. [Google Scholar] [Crossref]

14. Cozens, P., & Love, T. (2015). A review and current status of Crime Prevention Through Environmental Design (CPTED). Journal of Planning Literature, 30(4), 393–412. [Google Scholar] [Crossref]

15. Ewing, R., & Cervero, R. (2010). Travel and the built environment: A meta-analysis. Journal of the American Planning Association, 76(3), 265–294. [Google Scholar] [Crossref]

16. Foster, S., & Giles-Corti, B. (2008). The built environment, neighborhood crime and constrained physical activity: An exploration of inconsistent findings. Preventive Medicine, 47(3), 241–251. [Google Scholar] [Crossref]

17. Frank, L. D., Andresen, M. A., & Schmid, T. L. (2004). Obesity relationships with community design, physical activity, and time spent in cars. American Journal of Preventive Medicine, 27(2), 87–96. [Google Scholar] [Crossref]

18. Frumkin, H., Frank, L. D., & Jackson, R. J. (2004). Urban sprawl and public health: Designing, planning, and building for healthy communities. Island Press. [Google Scholar] [Crossref]

19. Fullilove, M. T. (2004). Root shock: How tearing up city neighborhoods hurts America and what we can do about it. One World/Ballantine. [Google Scholar] [Crossref]

20. Giles-Corti, B., Lowe, M., Arundel, J., et al. (2022). Creating healthy and sustainable cities: What gets measured gets done. The Lancet Global Health, 10(6), e782–e785. [Google Scholar] [Crossref]

21. Giles-Corti, B., Moudon, A. V., Lowe, M., Adlakha, D., Cerin, E., Boeing, G., Frumkin, H., et al. (2022). What next? Expanding our view of city planning and global health, and implementing and monitoring evidence-informed policy. The Lancet Global Health, 10(6), e919–e926. [Google Scholar] [Crossref]

22. Giles-Corti, B., Vernez-Moudon, A., Reis, R., Turrell, G., Dannenberg, A. L., Badland, H., Foster, S., Lowe, M., Sallis, J. F., Stevenson, M., Owen, N., & City Planning and Population Health Research Group. (2016). City planning and population health: A global challenge. The Lancet, 388(10062), 2912–2924. [Google Scholar] [Crossref]

23. Hood, C. M., Gennuso, K. P., Swain, G. R., & Catlin, B. B. (2016). County health rankings: Relationships between determinant factors and health outcomes. American Journal of Preventive Medicine, 50(2), 129–135. [Google Scholar] [Crossref]

24. Institute of Medicine. (2013). Educating the student body: Taking physical activity and physical education to school. National Academies Press. [Google Scholar] [Crossref]

25. Israel, B. A., Eng, E., Schulz, A. J., & Parker, E. A. (2010). Methods in community-based participatory research for health (2nd ed.). Jossey-Bass. [Google Scholar] [Crossref]

26. Jackson, K. T. (2003). Crabgrass frontier: The suburbanization of the United States (Rev. ed.). Oxford University Press. [Google Scholar] [Crossref]

27. Jennings, V., & Bamkole, O. (2019). The relationship between social cohesion and urban green space. International Journal of Environmental Research and Public Health, 16(3), 452. [Google Scholar] [Crossref]

28. Johnson, E. J., & Goldstein, D. G. (2003). Do defaults save lives? Science, 302(5649), 1338–1339. [Google Scholar] [Crossref]

29. Kahneman, D. (2011). Thinking, fast and slow. Farrar, Straus and Giroux. [Google Scholar] [Crossref]

30. Kindig, D., & Stoddart, G. (2003). What is population health? American Journal of Public Health, 93(3), 380–383. [Google Scholar] [Crossref]

31. Kitchin, R. (2014). The real-time city? Big data and smart urbanism. GeoJournal, 79(1), 1–14. [Google Scholar] [Crossref]

32. Krieger, J., & Higgins, D. L. (2002). Housing and health: Time again for public health action. American Journal of Public Health, 92(5), 758–768. [Google Scholar] [Crossref]

33. Krieger, N., Van Wye, G., Huynh, M., Waterman, P. D., Maduro, G., Li, W., & Gwynn, R. C. (2020). Structural racism, historical redlining, and risk of preterm birth. American Journal of Public Health, 110(7), 1046–1053. [Google Scholar] [Crossref]

34. Levine, J. (2006). Zoned out: Regulation, markets, and choices in transportation and metropolitan land use. Resources for the Future Press. [Google Scholar] [Crossref]

35. Litman, T. (2022). Evaluating active transport benefits and costs: Guide to valuing walking and cycling improvements and encouragement programs. Victoria Transport Policy Institute. [Google Scholar] [Crossref]

36. Madrian, B. C., & Shea, D. F. (2001). The power of suggestion: Inertia in 401(k) participation and savings behavior. Quarterly Journal of Economics, 116(4), 1149–1187. [Google Scholar] [Crossref]

37. Magnan, S. (2017). Social determinants of health 101 for health care: Five plus five. NAM Perspectives. National Academy of Medicine. [Google Scholar] [Crossref]

38. Marmot, M., Friel, S., Bell, R., Houweling, T. A. J., & Taylor, S. (2008). Closing the gap in a generation: Health equity through action on the social determinants of health. The Lancet, 372(9650), 1661–1669. [Google Scholar] [Crossref]

39. Marteau, T. M., Ogilvie, D., Roland, M., Suhrcke, M., & Kelly, M. P. (2011). Judging nudging: Can nudging improve population health? BMJ, 342, d228. [Google Scholar] [Crossref]

40. McLeroy, K. R., Bibeau, D., Steckler, A., & Glanz, K. (1988). An ecological perspective on health promotion programs. Health Education Quarterly, 15(4), 351–377. [Google Scholar] [Crossref]

41. Minkler, M., & Wallerstein, N. (2011). Community-based participatory research for health: From process to outcomes (2nd ed.). Jossey-Bass. [Google Scholar] [Crossref]

42. Mittelstadt, B. D., Allo, P., Taddeo, M., Wachter, S., & Floridi, L. (2016). The ethics of algorithms. Big Data & Society, 3(2), 1–21. [Google Scholar] [Crossref]

43. Mozaffarian, D., Angell, S. Y., Lang, T., & Rivera, J. A. (2018). Role of government policy in nutrition, barriers to and opportunities for healthier eating. BMJ, 361, k2426. [Google Scholar] [Crossref]

44. Nardone, A., Chiang, J., Corburn, J., & Morello-Frosch, R. (2020). Historic redlining and urban health today in U.S. cities. Environmental Justice, 13(4), 109–119. [Google Scholar] [Crossref]

45. National Academies of Sciences, Engineering, and Medicine. (2017). Communities in action: Pathways to health equity. Washington, DC: National Academies Press. [Google Scholar] [Crossref]

46. National Research Council. (2011). Improving health in the United States: The role of health impact assessment. National Academies Press. [Google Scholar] [Crossref]

47. Neuhaus, M., Eakin, E. G., Straker, L., Owen, N., Dunstan, D. W., Reid, N., & Healy, G. N. (2014). Reducing occupational sedentary time: A systematic review and meta-analysis of evidence on activity-permissive workstations. Obesity Reviews, 15(10), 822–838. [Google Scholar] [Crossref]

48. Owen, N., Healy, G. N., Matthews, C. E., & Dunstan, D. W. (2010). Too much sitting: The population-health science of sedentary behavior. Exercise and Sport Sciences Reviews, 38(3), 105–113. [Google Scholar] [Crossref]

49. Rothstein, R. (2017). The color of law: A forgotten history of how our government segregated America. Liveright Publishing. [Google Scholar] [Crossref]

50. Roux, L., & Pratt, M. (2013). Cost effectiveness of community-based physical activity interventions. American Journal of Preventive Medicine, 45(4), 508–515. [Google Scholar] [Crossref]

51. Rudolph, L., Caplan, J., Ben-Moshe, K., & Dillon, L. (2013). Health in all policies: A guide for state and local governments. American Public Health Association. [Google Scholar] [Crossref]

52. Sallis, J. F., Cerin, E., Conway, T. L., Adams, M. A., Frank, L. D., Pratt, M., Salvo, D., Schipperijn, J., Smith, G., Cain, K. L., Davey, R., Kerr, J., Lai, P. C., Mitáš, J., Reis, R., Sarmiento, O. L., Schofield, G., Troelsen, J., Van Dyck, D., & Owen, N. (2016). Physical activity in relation to urban environments in 14 cities worldwide: A cross-sectional study. The Lancet, 387(10034), 2207–2217. [Google Scholar] [Crossref]

53. Sallis, J. F., Owen, N., & Fisher, E. B. (2008). Ecological models of health behavior. In K. Glanz, B. K. Rimer, & K. Viswanath (Eds.), Health behavior and health education: Theory, research, and practice (4th ed., pp. 465–486). Jossey-Bass. [Google Scholar] [Crossref]

54. Sallis, J. F., Owen, N., & Fisher, E. B. (2015). Ecological models of health behavior. In K. Glanz, B. K. Rimer, & K. Viswanath (Eds.), Health behavior: Theory, research, and practice (5th ed., pp. 43–64). Jossey-Bass. [Google Scholar] [Crossref]

55. Sanoff, H. (2000). Community participation methods in design and planning. Wiley. [Google Scholar] [Crossref]

56. Shrestha, N., Kukkonen-Harjula, K. T., Verbeek, J. H., Ijaz, S., Hermans, V., & Pedisic, Z. (2018). Workplace interventions for reducing sitting at work. Cochrane Database of Systematic Reviews, 2018(6), CD010912. [Google Scholar] [Crossref]

57. Smart Growth America. (2023). Complete Streets policy analysis 2023. Smart Growth America. [Google Scholar] [Crossref]

58. Story, M., Nanney, M. S., & Schwartz, M. B. (2009). Schools and obesity prevention: Creating school environments and policies to promote healthy eating and physical activity. The Milbank Quarterly, 87(1), 71–100. [Google Scholar] [Crossref]

59. Taylor, L. (2018). Housing and health: An overview of the literature. Health Affairs Health Policy Brief. [Google Scholar] [Crossref]

60. Thaler, R. H., & Sunstein, C. R. (2008). Nudge: Improving decisions about health, wealth, and happiness. Yale University Press. [Google Scholar] [Crossref]

61. Trust for Public Land. (2023). ParkScore® index methodology. Trust for Public Land. [Google Scholar] [Crossref]

62. Twohig-Bennett, C., & Jones, A. (2018). The health benefits of the great outdoors: A systematic review and meta-analysis of greenspace exposure and health outcomes. Environmental Research, 166, 628–637. [Google Scholar] [Crossref]

63. Walker, R. E., Keane, C. R., & Burke, J. G. (2010). Disparities and access to healthy food in the United States. Health & Place, 16(5), 876–884. [Google Scholar] [Crossref]

64. Watts, N., Amann, M., Arnell, N., et al. (2021). The 2021 report of the Lancet Countdown on health and climate change. The Lancet, 398(10311), 1619–1662. [Google Scholar] [Crossref]

65. Williams, D. R., Lawrence, J. A., & Davis, B. A. (2019). Racism and health: Evidence and needed research. Annual Review of Public Health, 40, 105–125. [Google Scholar] [Crossref]

66. Wolch, J. R., Byrne, J., & Newell, J. P. (2014). Urban green space, public health, and environmental justice: The challenge of making cities “just green enough.” Landscape and Urban Planning, 125, 234–244. [Google Scholar] [Crossref]

67. World Health Organization. (2014). Health in all policies (HiAP): Framework for country action. Geneva: World Health Organization. [Google Scholar] [Crossref]

68. World Health Organization. (2023). Urban health and healthy cities: Building environments for population wellbeing. Geneva: World Health Organization. [Google Scholar] [Crossref]

69. Yearby, R., & Mohapatra, S. (2020). Law, structural racism, and the COVID-19 pandemic. Journal of Law and the Biosciences, 7(1), lsaa036. [Google Scholar] [Crossref]

Metrics

Views & Downloads

Similar Articles