Public transit, obesity, and medical costs: Assessing the magnitudes☆
Introduction
A topic of much recent interest is the degree to which public transportation may increase exercise through walking. Other things equal, an increase in exercise could then improve health outcomes by lowering obesity, which many view as a looming but potentially manageable threat to public health (Hill et al., 2003, Olshansky et al., 2005, Preston, 2005). The “New Urbanism” movement of the 1990s, which continues today, calls for development of denser, grid-based neighborhoods in order to increase walking, bicycling, and use of transit (Cervero and Radisch, 1996). More recently, the entire January 2007 issue of Environment and Behavior was devoted to examining how the built environment relates to diet and exercise, and thus, to obesity. A joint study by the Transportation Research Board and the Institute of Medicine (2005) surveyed the state of knowledge regarding the built environment and physical activity. Although the study showed that the built environment, including access to public transit, can help or hinder the choice to engage in physical activity, it emphasized how the lack of good data and inadequate study design have significantly hampered inference.
Because residents typically select their communities, much remains unclear about the causal influence of environment on activity (Handy and Mokhtarian, 2005, Ogilvie et al., 2006). Longitudinal panel studies of relocated families and their behavior and outcomes, such as the nascent RESIDE project in Perth, Australia, are designed to untangle this issue. Without a clear sense of how urban form and the availability of mass transit can actually produce more exercise, researchers are limited in advocating specific policy interventions. Still, it is worth assessing the potential magnitudes of the influences of public transit on health, in order to gauge the plausible scope for policy and motivate further research.
The amount of additional physical activity associated with public transportation appears potentially significant. Besser and Dannenberg (2005) report that half of the roughly 3% of adults in the 2001 U.S. National Household Travel Survey (NHTS) who walked to and from public transit spent 19 min or more in total walking time, and almost a third exceeded 30 min. Wener and Evans (2007) find that the average New York City train commuter walked about 9500 steps per day, roughly 2000 or 30% more steps than the average car commuter. Several papers associate form of transit with obesity directly. Frank et al. (2004) report that obesity around Atlanta, as measured by body mass index (BMI), is associated positively with time spent in cars and negatively with mixed land-use and with walking. Gordon-Larsen et al. (2005) reveal that non-overweight young adults in the Add Health survey were more likely to engage in active transportation like walking or bicycling, possibly in addition to taking public transit. Rundle et al. (2007) find BMI to be inversely associated with the density of bus stops, subway stops, and population around New York City.
However, is the additional walking associated with mass transit large enough to reduce obesity and associated health care costs? If yes, by how much? In this paper, I address this question by modeling daily time spent walking based on characteristics including transit use, and I then translate those differences into extra net energy expenditure and reductions in obesity.
Section snippets
Estimating additional walking associated with public transit
The quantity of interest is the additional amount of physical activity associated with taking public transit as opposed to driving. Wener and Evans (2007) measure this directly by asking a sample of car and train commuters around New York City to wear pedometers, and then comparing total steps for each group. No comparable study exists at the national level, but the 2001 National Household Travel Survey (U.S. Dept. of Transportation and Federal Highway Administration, 2001) contains similar
Additional walking through transit
Table 1 describes the characteristics of the weighted NHTS sample of adults, where the observations are person-days. Typical respondents are nearly 50 years old, roughly split between men and women, predominantly white, and typically hold only high school degrees. Average household income in the dataset is roughly twice per capita income because the data file frequently includes both adults in a typical household. Eighty percent of respondents own their own home. The average population density
Discussion
The objective of this paper was to explore the potential benefits of shifting an average U.S. citizen from driving to using public transit. Savings in avoided medical expenses through increased physical activity and decreased obesity appear to be relatively large, around a present value of $5500 per person. By comparison, a recent estimate suggests that quitting smoking could save between €7600 and 12,200 in present value per person depending on sex (Rasmussen et al., 2005), and a comparable
Conclusion
Use of public transit is associated with more walking, by about 8.3 extra minutes per day. This is not enough walking to halt the spread of obesity, but it could substantially reduce it. The present value of medical expenditure savings per person could be $5500, while the value of reduced disability could be even greater.
References (34)
- et al.
Walking to public transit: steps to help meet physical activity recommendations
Am. J. Prev. Med.
(2005) - et al.
Travel choices in pedestrian versus automobile oriented neighborhoods
Transp. Policy
(1996) - et al.
The benefits of prenatal care: evidence from the PAT bus strike
J. Econom.
(2005) - et al.
Obesity relationships with community design, physical activity, and time spent in cars
Am. J. Prev. Med.
(2004) - et al.
The direct health care costs of obesity in the United States
Am. J. Publ. Health
(1999) - Bell, F.C., Miller, M.L., August 2005. Life tables for the United States Social Security area, 1900–2100. Actuarial...
- et al.
Changes in the value of life, 1940–1980
J. Risk Uncertain.
(2004) - et al.
Measuring the health of the U.S. population
Brookings Pap. Econ. Act., Microecon.
(1997) - et al.
Why have Americans become more obese?
J. Econ. Perspect.
(2003) - et al.
Risk–benefit analysis of cigarette smoking: public policy implications
J. Consum. Aff.
(1995)
National medical spending attributable to overweight and obesity: how much, and who's paying?
Health Aff.
Prevalence and trends in obesity among U.S. adults, 1999–2000
J. Am. Med. Assoc.
Associations among active transportation, physical activity, and weight status in young adults
Obes. Res.
Which comes first? The neighborhood or the walking?
Access
Obesity and the environment: where do we go from here?
Science
The health and cost consequences of obesity among the future elderly
Health Aff.
The uses of Tobit analysis
Rev. Econ. Stat.
Cited by (91)
Human mobility and medical costs of lifestyle-related diseases during the COVID-19 pandemic: A cross-sectional study in Japan
2024, Journal of Transport and HealthEstimating the steps made by public transport commuters using a synthetic population enriched with smart card data
2022, Journal of Transport and HealthThe influence of obesity on the motor coordination in children between 6 and 9 years of age
2022, Science and SportsEffects of an urban light rail line on health care utilization and cost: A pre-post assessment
2022, Transport PolicyCitation Excerpt :Cross-sectional evidence suggests that higher public transit use is associated with individuals’ lower health care costs (Saelens et al., 2022). Claims of transit-related health benefits and health care cost savings are supported largely by model-based studies examining hypothetical effects of changes in built environment (e.g., increasing density and access to shops) or meeting higher public transit use targets (Stokes et al., 2008; Edwards, 2008; Sener et al., 2016). While increased transit-related PA may reduce health care expenditures, additional research is clearly needed that quantifies the effect of public transit investment and use on health care costs (Saelens et al., 2022).
Investigating spatial accessibility to urban facility outcome of transit-oriented development in Dhaka
2022, Transportation Research Interdisciplinary PerspectivesTransit use and health care costs: A cross-sectional analysis
2022, Journal of Transport and Health
- ☆
All errors and opinions are those of the author alone and do not reflect the views of Queens College or the City University of New York.