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Published in: BMC Public Health 1/2019

Open Access 01-12-2019 | Research article

Cross-sectional and longitudinal analysis of the active commuting behaviors of U.S. Department of the Interior employees

Authors: David R. Paul, Yazhuo Deng, Philip S. Cook

Published in: BMC Public Health | Issue 1/2019

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Abstract

Background

Despite evolving evidence of the health and economic benefits of active transportation (AT) to work, few studies have examined the determinants of AT in large organizations with multiple worksites nor how trends in commuting change over time.

Methods

The data were obtained from the U.S. Department of the Interior Employee Commuting Census of 2010 (n = 23,230), and 2012–2016 (n = 21,725-25,974). The respondents were grouped into four commuting categories: non-active mode, walking, biking, and mixed-mode. Multinomial logistic regression analysis was utilized to examine the correlates of choosing AT to work for the 2010 data. Next, a repeated cross-sectional analysis was completed for all six years of data.

Results

In 2010, AT modes were only chosen by approximately 10% of respondents. Employees who lived farther from work and did not have a public transit station within 0.5 miles from home were generally less likely to choose AT. Respondents working in non-metro workplaces were less likely to bike or take mixed-modes to work, but more likely to walk. Men were more likely to choose AT modes, particularly biking. Respondents aged ≤30 yrs. were less likely to bike than those 31 to 40 yrs., but more likely than those ≥61 yrs. In 2010, the number of respondents that walked was higher, and biked and took mixed-modes was lower when compared to 2016, while the choice to take mixed-modes was higher in 2012 and 2013 when compared to 2016. Daily commuting distances in 2016 tended to be lower than 2010 and 2012, and higher than 2013. However, overall AT choice and commute distance remained reasonably stable over time.

Conclusions

Respondents who lived close to their workplace and a public transportation station, worked in a metro location, were male and younger were more likely to choose AT modes to work. The results provide insight for the U.S. Department of the Interior and other large organizations to develop intervention strategies that support AT to work. Further research is warranted to understand the concurrent individual, social, and environmental barriers and facilitators for choosing AT to work.
Literature
1.
go back to reference National Physical Activity Plan. In.: National Physical Activity Plan Alliance; 2016. National Physical Activity Plan. In.: National Physical Activity Plan Alliance; 2016.
2.
go back to reference Physical Activity Guidelines for Americans. In.: Department of Health and Human Services; 2008. Physical Activity Guidelines for Americans. In.: Department of Health and Human Services; 2008.
3.
go back to reference Sahlqvist S, Song Y, Ogilvie D. Is active travel associated with greater physical activity? The contribution of commuting and non-commuting active travel to total physical activity in adults. Prev Med. 2012;55(3):206–11.PubMedPubMedCentralCrossRef Sahlqvist S, Song Y, Ogilvie D. Is active travel associated with greater physical activity? The contribution of commuting and non-commuting active travel to total physical activity in adults. Prev Med. 2012;55(3):206–11.PubMedPubMedCentralCrossRef
4.
go back to reference Rissel C, Curac N, Greenaway M, Bauman A. Physical activity associated with public transport use-a review and modelling of potential benefits. Int J Environ Res Public Health. 2012;9(7):2454–78.PubMedPubMedCentralCrossRef Rissel C, Curac N, Greenaway M, Bauman A. Physical activity associated with public transport use-a review and modelling of potential benefits. Int J Environ Res Public Health. 2012;9(7):2454–78.PubMedPubMedCentralCrossRef
5.
go back to reference Costa S, Ogilvie D, Dalton A, Westgate K, Brage S, Panter J. Quantifying the physical activity energy expenditure of commuters using a combination of global positioning system and combined heart rate and movement sensors. Prev Med. 2015;81:339–44.PubMedPubMedCentralCrossRef Costa S, Ogilvie D, Dalton A, Westgate K, Brage S, Panter J. Quantifying the physical activity energy expenditure of commuters using a combination of global positioning system and combined heart rate and movement sensors. Prev Med. 2015;81:339–44.PubMedPubMedCentralCrossRef
6.
go back to reference Gordon-Larsen P, Boone-Heinonen J, Sidney S, Sternfeld B, Jacobs DR Jr, Lewis CE. Active commuting and cardiovascular disease risk: the CARDIA study. Arch Intern Med. 2009;169(13):1216–23.PubMedPubMedCentralCrossRef Gordon-Larsen P, Boone-Heinonen J, Sidney S, Sternfeld B, Jacobs DR Jr, Lewis CE. Active commuting and cardiovascular disease risk: the CARDIA study. Arch Intern Med. 2009;169(13):1216–23.PubMedPubMedCentralCrossRef
7.
go back to reference Flint E, Cummins S, Sacker A. Associations between active commuting, body fat, and body mass index: population based, cross sectional study in the United Kingdom. BMJ. 2014;349.PubMedPubMedCentralCrossRef Flint E, Cummins S, Sacker A. Associations between active commuting, body fat, and body mass index: population based, cross sectional study in the United Kingdom. BMJ. 2014;349.PubMedPubMedCentralCrossRef
9.
go back to reference Quinn TD, Jakicic JM, Fertman CI, Barone Gibbs B. Demographic factors, workplace factors and active transportation use in the USA: a secondary analysis of 2009 NHTS data. J Epidemiol Community Health. 2016. Quinn TD, Jakicic JM, Fertman CI, Barone Gibbs B. Demographic factors, workplace factors and active transportation use in the USA: a secondary analysis of 2009 NHTS data. J Epidemiol Community Health. 2016.
10.
go back to reference Badland HM, Schofield GM, Schluter PJ. Objectively measured commute distance: associations with actual travel modes and perceptions to place of work or study in Auckland, New Zealand. J Phys Act Health. 2007;4(1):80–6.PubMedCrossRef Badland HM, Schofield GM, Schluter PJ. Objectively measured commute distance: associations with actual travel modes and perceptions to place of work or study in Auckland, New Zealand. J Phys Act Health. 2007;4(1):80–6.PubMedCrossRef
11.
go back to reference Cole R, Leslie E, Bauman A, Donald M, Owen N. Socio-demographic variations in walking for transport and for recreation or exercise among adult Australians. J Phys Actd Health. 2006;3:164–78.CrossRef Cole R, Leslie E, Bauman A, Donald M, Owen N. Socio-demographic variations in walking for transport and for recreation or exercise among adult Australians. J Phys Actd Health. 2006;3:164–78.CrossRef
12.
go back to reference Laverty AA, Mindell JS, Webb EA, Millett C. Active travel to work and cardiovascular risk factors in the United Kingdom. Am J Prev Med. 2013;45(3):282–8.PubMedCrossRef Laverty AA, Mindell JS, Webb EA, Millett C. Active travel to work and cardiovascular risk factors in the United Kingdom. Am J Prev Med. 2013;45(3):282–8.PubMedCrossRef
13.
go back to reference Butler GP, Orpana HM, Wiens AJ. By your own two feet: factors associated with active transportation in Canada. Can J of Public Health. 2007:259–64. Butler GP, Orpana HM, Wiens AJ. By your own two feet: factors associated with active transportation in Canada. Can J of Public Health. 2007:259–64.
14.
go back to reference Fan JX, Wen M, Kowaleski-Jones L. Sociodemographic and environmental correlates of active commuting in rural America. J Rural Health. 2015;31(2):176–85.PubMedCrossRef Fan JX, Wen M, Kowaleski-Jones L. Sociodemographic and environmental correlates of active commuting in rural America. J Rural Health. 2015;31(2):176–85.PubMedCrossRef
15.
go back to reference Wasfi RA, Ross NA, El-Geneidy AM. Achieving recommended daily physical activity levels through commuting by public transportation: unpacking individual and contextual influences. Health Place. 2013;23:18–25.PubMedCrossRef Wasfi RA, Ross NA, El-Geneidy AM. Achieving recommended daily physical activity levels through commuting by public transportation: unpacking individual and contextual influences. Health Place. 2013;23:18–25.PubMedCrossRef
16.
go back to reference Hamre A, Buehler R. Commuter mode Choice and free Car parking, public transportation benefits, showers/lockers, and bike parking at work: evidence from the Washington, DC region. J Public Transport. 2014;17(2):67–91.CrossRef Hamre A, Buehler R. Commuter mode Choice and free Car parking, public transportation benefits, showers/lockers, and bike parking at work: evidence from the Washington, DC region. J Public Transport. 2014;17(2):67–91.CrossRef
17.
go back to reference Panter J, Griffin S, Jones A, Mackett R, Ogilvie D. Correlates of time spent walking and cycling to and from work: baseline results from the commuting and health in Cambridge study. Int J Behav Nutr Phys Act. 2011;8(1):1.CrossRef Panter J, Griffin S, Jones A, Mackett R, Ogilvie D. Correlates of time spent walking and cycling to and from work: baseline results from the commuting and health in Cambridge study. Int J Behav Nutr Phys Act. 2011;8(1):1.CrossRef
18.
go back to reference de Matos SMA, Pitanga FJG, Almeida M, Queiroz CO, Dos Santos CA, de Almeida RT, da Silva ITM, Griep RH, Amorim L, Patrao AL, et al. What factors explain bicycling and walking for commuting by ELSA-Brasil participants? Am J Health Promot. 2018;32(3):646–56.PubMedCrossRef de Matos SMA, Pitanga FJG, Almeida M, Queiroz CO, Dos Santos CA, de Almeida RT, da Silva ITM, Griep RH, Amorim L, Patrao AL, et al. What factors explain bicycling and walking for commuting by ELSA-Brasil participants? Am J Health Promot. 2018;32(3):646–56.PubMedCrossRef
19.
go back to reference Kaczynski AT, Bopp MJ, Wittman P. To drive or not to drive: factors differentiating active versus non-active commuters. J Health Behav Public Health. 2012;2(2):14–9. Kaczynski AT, Bopp MJ, Wittman P. To drive or not to drive: factors differentiating active versus non-active commuters. J Health Behav Public Health. 2012;2(2):14–9.
20.
go back to reference Badland HM, Duncan MJ, Mummery WK. Travel perceptions, behaviors, and environment by degree of urbanization. Prev Med. 2008;47(3):265–9.PubMedCrossRef Badland HM, Duncan MJ, Mummery WK. Travel perceptions, behaviors, and environment by degree of urbanization. Prev Med. 2008;47(3):265–9.PubMedCrossRef
21.
22.
go back to reference Yang L, Griffin S, Khaw KT, Wareham N, Panter J. Longitudinal associations between built environment characteristics and changes in active commuting. BMC Public Health. 2017;17(1):458.PubMedPubMedCentralCrossRef Yang L, Griffin S, Khaw KT, Wareham N, Panter J. Longitudinal associations between built environment characteristics and changes in active commuting. BMC Public Health. 2017;17(1):458.PubMedPubMedCentralCrossRef
23.
go back to reference Millward H, Spinney J. Time use, travel behavior, and the rural–urban continuum: results from the Halifax STAR project. J Trans Geogr. 2011;19(1):51–8.CrossRef Millward H, Spinney J. Time use, travel behavior, and the rural–urban continuum: results from the Halifax STAR project. J Trans Geogr. 2011;19(1):51–8.CrossRef
24.
go back to reference Cerin E, Leslie E, du Toit L, Owen N, Frank LD. Destinations that matter: associations with walking for transport. Health Place. 2007;13(3):713–24.PubMedCrossRef Cerin E, Leslie E, du Toit L, Owen N, Frank LD. Destinations that matter: associations with walking for transport. Health Place. 2007;13(3):713–24.PubMedCrossRef
25.
go back to reference Yang L, Hipp JA, Adlakha D, Marx CM, Tabak RG, Brownson RC. Choice of commuting mode among employees: do home neighborhood environment, worksite neighborhood environment, and worksite policy and supports matter? J Trans Health. 2015;2(2):212–8.CrossRef Yang L, Hipp JA, Adlakha D, Marx CM, Tabak RG, Brownson RC. Choice of commuting mode among employees: do home neighborhood environment, worksite neighborhood environment, and worksite policy and supports matter? J Trans Health. 2015;2(2):212–8.CrossRef
26.
go back to reference Stigell E, Schantz P. Methods for determining route distances in active commuting - their validity and reproducibility. J Transp Geogr. 2011;19(4):563–74.CrossRef Stigell E, Schantz P. Methods for determining route distances in active commuting - their validity and reproducibility. J Transp Geogr. 2011;19(4):563–74.CrossRef
27.
go back to reference McKenzie B: Modes less traveled—bicycling and walking to work in the United States: 2008–2012. U.S. Department of Commerce, May 2014: United States Census Bureau; 2014. McKenzie B: Modes less traveled—bicycling and walking to work in the United States: 2008–2012. U.S. Department of Commerce, May 2014: United States Census Bureau; 2014.
28.
go back to reference Santos A, McGuckin N, Nakamoto HY, Gray D, Liss S. 2009 National Household Travel Survey. Washington, DC: U.S. Department of Transportation; 2011. Santos A, McGuckin N, Nakamoto HY, Gray D, Liss S. 2009 National Household Travel Survey. Washington, DC: U.S. Department of Transportation; 2011.
29.
30.
go back to reference Davis JC, Verhagen E, Bryan S, Liu-Ambrose T, Borland J, Buchner D, Hendriks MRC, Weiler R, Morrow JR, van Mechelen W, et al. 2014 consensus statement from the first economics of physical inactivity consensus (EPIC) conference (Vancouver). Br J Sports Med. 2014;48(12):947.PubMedCrossRef Davis JC, Verhagen E, Bryan S, Liu-Ambrose T, Borland J, Buchner D, Hendriks MRC, Weiler R, Morrow JR, van Mechelen W, et al. 2014 consensus statement from the first economics of physical inactivity consensus (EPIC) conference (Vancouver). Br J Sports Med. 2014;48(12):947.PubMedCrossRef
31.
go back to reference Carlson SA, Fulton JE, Pratt M, Yang Z, Adams EK. Inadequate physical activity and health care expenditures in the United States. Prog Cardiovasc Dis. 2015;57(4):315–23.PubMedCrossRef Carlson SA, Fulton JE, Pratt M, Yang Z, Adams EK. Inadequate physical activity and health care expenditures in the United States. Prog Cardiovasc Dis. 2015;57(4):315–23.PubMedCrossRef
32.
go back to reference Edwards RD. Public transit, obesity, and medical costs: assessing the magnitudes. Prev Med. 2008;46(1):14–21.PubMedCrossRef Edwards RD. Public transit, obesity, and medical costs: assessing the magnitudes. Prev Med. 2008;46(1):14–21.PubMedCrossRef
33.
go back to reference Sener IN, Lee RJ, Elgart Z. Potential health implications and health cost reductions of transit-induced physical activity. J Transp Health. 2016;3(2):133–40.PubMedPubMedCentralCrossRef Sener IN, Lee RJ, Elgart Z. Potential health implications and health cost reductions of transit-induced physical activity. J Transp Health. 2016;3(2):133–40.PubMedPubMedCentralCrossRef
34.
go back to reference Ding D, Lawson KD, Kolbe-Alexander TL, Finkelstein EA, Katzmarzyk PT, van Mechelen W, Pratt M. Lancet physical activity series 2 executive C: the economic burden of physical inactivity: a global analysis of major non-communicable diseases. Lancet. 2016;388(10051):1311–24.PubMedCrossRef Ding D, Lawson KD, Kolbe-Alexander TL, Finkelstein EA, Katzmarzyk PT, van Mechelen W, Pratt M. Lancet physical activity series 2 executive C: the economic burden of physical inactivity: a global analysis of major non-communicable diseases. Lancet. 2016;388(10051):1311–24.PubMedCrossRef
35.
go back to reference Furie GL, Desai MM. Active transportation and cardiovascular disease risk factors in U.S. adults. Am J Prev Med. 2012;43(6):621–8.PubMedCrossRef Furie GL, Desai MM. Active transportation and cardiovascular disease risk factors in U.S. adults. Am J Prev Med. 2012;43(6):621–8.PubMedCrossRef
36.
go back to reference Pronk NP. Physical activity promotion in business and industry: evidence, context, and recommendations for a National Plan. J Phys Act Health. 2009;6:S220–35.PubMedCrossRef Pronk NP. Physical activity promotion in business and industry: evidence, context, and recommendations for a National Plan. J Phys Act Health. 2009;6:S220–35.PubMedCrossRef
37.
go back to reference U.S. DOT Commuter Choice Survey. The John A. Volpe National Transportation Systems Center. U.S. DOT Commuter Choice Survey. The John A. Volpe National Transportation Systems Center.
38.
go back to reference Rural-Urban Continuum Codes Documentation. In.: United States Department of Agriculture, Economic Research Service. Rural-Urban Continuum Codes Documentation. In.: United States Department of Agriculture, Economic Research Service.
39.
40.
go back to reference Ernstsen L, Strand BH, Nilsen SM, Espnes GA, Krokstad S. Trends in absolute and relative educational inequalities in four modifiable ischaemic heart disease risk factors: repeated cross-sectional surveys from the Nord-Trondelag health study (HUNT) 1984-2008. BMC Public Health. 2012;12. Ernstsen L, Strand BH, Nilsen SM, Espnes GA, Krokstad S. Trends in absolute and relative educational inequalities in four modifiable ischaemic heart disease risk factors: repeated cross-sectional surveys from the Nord-Trondelag health study (HUNT) 1984-2008. BMC Public Health. 2012;12.
41.
go back to reference Ripley B, Venables W. nnet: feed-forward neural networks and multinomial log-linear models. In: R Package Version. vol. 7; 2011. Ripley B, Venables W. nnet: feed-forward neural networks and multinomial log-linear models. In: R Package Version. vol. 7; 2011.
42.
go back to reference Bates D, Maechler M, Bolker B, Walker S: lme4: linear mixed- effects models using Eigen and S4. In., vol. R package version 1. 1-7; 2014. Bates D, Maechler M, Bolker B, Walker S: lme4: linear mixed- effects models using Eigen and S4. In., vol. R package version 1. 1-7; 2014.
43.
go back to reference Kuznetsova A, Brockhoff PB, Christensen RHB: LmerTest: tests for random and fixed effects for linear mixed effect models (lmer objects of lme4 package)In., R Package Version, 2(6). edn; 2013. Kuznetsova A, Brockhoff PB, Christensen RHB: LmerTest: tests for random and fixed effects for linear mixed effect models (lmer objects of lme4 package)In., R Package Version, 2(6). edn; 2013.
44.
go back to reference Wahlgren L, Schantz P. Exploring bikeability in a metropolitan setting: stimulating and hindering factors in commuting route environments. BMC Public Health. 2012;12(1):1.CrossRef Wahlgren L, Schantz P. Exploring bikeability in a metropolitan setting: stimulating and hindering factors in commuting route environments. BMC Public Health. 2012;12(1):1.CrossRef
45.
go back to reference Fan JX, Wen M, Kowaleski-Jones L. Rural-urban differences in objective and subjective measures of physical activity: findings from the National Health and nutrition examination survey (NHANES) 2003-2006. Prev Chronic Dis. 2014;11. Fan JX, Wen M, Kowaleski-Jones L. Rural-urban differences in objective and subjective measures of physical activity: findings from the National Health and nutrition examination survey (NHANES) 2003-2006. Prev Chronic Dis. 2014;11.
46.
go back to reference Moudon AV, Lee C, Cheadle AD, Collier CW, Johnson D, Schmid TL, Weather RD. Cycling and the built environment, a US perspective. Transp Res D Transp Environ. 2005;10(3):245–61.CrossRef Moudon AV, Lee C, Cheadle AD, Collier CW, Johnson D, Schmid TL, Weather RD. Cycling and the built environment, a US perspective. Transp Res D Transp Environ. 2005;10(3):245–61.CrossRef
47.
go back to reference Bopp M, Kaczynski AT, Wittman P. The relationship of eco-friendly attitudes with walking and biking to work. J Public Health Manag Pract. 2011;17(5):E9–E17.PubMedCrossRef Bopp M, Kaczynski AT, Wittman P. The relationship of eco-friendly attitudes with walking and biking to work. J Public Health Manag Pract. 2011;17(5):E9–E17.PubMedCrossRef
48.
go back to reference Roberts J, Hodgson R, Dolan P. “It’s driving her mad”: gender differences in the effects of commuting on psychological health. J Health Econ. 2011;30(5):1064–76.PubMedCrossRef Roberts J, Hodgson R, Dolan P. “It’s driving her mad”: gender differences in the effects of commuting on psychological health. J Health Econ. 2011;30(5):1064–76.PubMedCrossRef
49.
go back to reference Yang L, Panter J, Griffin SJ, Ogilvie D. Associations between active commuting and physical activity in working adults: cross-sectional results from the commuting and health in Cambridge study. Prev Med. 2012;55(5):453–7.PubMedPubMedCentralCrossRef Yang L, Panter J, Griffin SJ, Ogilvie D. Associations between active commuting and physical activity in working adults: cross-sectional results from the commuting and health in Cambridge study. Prev Med. 2012;55(5):453–7.PubMedPubMedCentralCrossRef
50.
go back to reference Flint E, Webb E, Cummins S. Change in commute mode and body-mass index: prospective, longitudinal evidence from UK biobank. Lancet Public Health. 2016;1(2):e46–55.PubMedPubMedCentralCrossRef Flint E, Webb E, Cummins S. Change in commute mode and body-mass index: prospective, longitudinal evidence from UK biobank. Lancet Public Health. 2016;1(2):e46–55.PubMedPubMedCentralCrossRef
51.
go back to reference Martin A, Panter J, Suhrcke M, Ogilvie D. Impact of changes in mode of travel to work on changes in body mass index: evidence from the British household panel survey. J Epidemiol Community Health. 2015;69(8):753–61.PubMedPubMedCentralCrossRef Martin A, Panter J, Suhrcke M, Ogilvie D. Impact of changes in mode of travel to work on changes in body mass index: evidence from the British household panel survey. J Epidemiol Community Health. 2015;69(8):753–61.PubMedPubMedCentralCrossRef
53.
go back to reference Mutrie N, Carney C, Blamey A, Crawford F, Aitchison T, Whitelaw A. “Walk in to work out”: a randomised controlled trial of a self help intervention to promote active commuting. J Epidemiol Community Health. 2002;56(6):407–12.PubMedPubMedCentralCrossRef Mutrie N, Carney C, Blamey A, Crawford F, Aitchison T, Whitelaw A. “Walk in to work out”: a randomised controlled trial of a self help intervention to promote active commuting. J Epidemiol Community Health. 2002;56(6):407–12.PubMedPubMedCentralCrossRef
Metadata
Title
Cross-sectional and longitudinal analysis of the active commuting behaviors of U.S. Department of the Interior employees
Authors
David R. Paul
Yazhuo Deng
Philip S. Cook
Publication date
01-12-2019
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2019
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-019-6746-9

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