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Does commuting mode choice impact health?

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  • Nikita Jacob
  • Luke Munford
  • Nigel Rice
  • Jennifer Roberts

Abstract

Governments around the world are encouraging people to switch away from sedentary modes of travel towards more active modes, including walking and cycling. The aim of these schemes is to improve population health and to reduce emissions. There is considerable evidence on the latter, but relatively little on the former. This paper investigates the impact of mode choice on physical and mental health. Using data from the UK Household Longitudinal Study, we exploit changes in mode of commute to identify health outcome responses. Individuals who change modes are matched with those whose mode remains constant. Overall we find that mode switches affect both physical and mental health. When switching from car to active travel we see an increase in physical health for women and in mental health for both genders. In contrast, both men and women who switch from active travel to car are shown to experience a significant reduction in their physical health and health satisfaction, and a decline in their mental health when they change from active to public transport.

Suggested Citation

  • Nikita Jacob & Luke Munford & Nigel Rice & Jennifer Roberts, 2021. "Does commuting mode choice impact health?," Health Economics, John Wiley & Sons, Ltd., vol. 30(2), pages 207-230, February.
  • Handle: RePEc:wly:hlthec:v:30:y:2021:i:2:p:207-230
    DOI: 10.1002/hec.4184
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    1. Scheepers, C.E. & Wendel-Vos, G.C.W. & den Broeder, J.M. & van Kempen, E.E.M.M. & van Wesemael, P.J.V. & Schuit, A.J., 2014. "Shifting from car to active transport: A systematic review of the effectiveness of interventions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 264-280.
    2. Morris, Eric A., 2015. "Should we all just stay home? Travel, out-of-home activities, and life satisfaction," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 519-536.
    3. Lancée, Sascha & Veenhoven, Ruut & Burger, Martijn, 2017. "Mood during commute in the Netherlands," Transportation Research Part A: Policy and Practice, Elsevier, vol. 104(C), pages 195-208.
    4. Hainmueller, Jens, 2012. "Entropy Balancing for Causal Effects: A Multivariate Reweighting Method to Produce Balanced Samples in Observational Studies," Political Analysis, Cambridge University Press, vol. 20(1), pages 25-46, January.
    5. Verbeek, Marno & Nijman, Theo, 1992. "Testing for Selectivity Bias in Panel Data Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 33(3), pages 681-703, August.
    6. Künn-Nelen, Annemarie, 2015. "Does Commuting Affect Health?," IZA Discussion Papers 9031, Institute of Labor Economics (IZA).
    7. Eriksson, Lars & Friman, Margareta & Gärling, Tommy, 2013. "Perceived attributes of bus and car mediating satisfaction with the work commute," Transportation Research Part A: Policy and Practice, Elsevier, vol. 47(C), pages 87-96.
    8. Hainmueller, Jens & Xu, Yiqing, 2013. "ebalance: A Stata Package for Entropy Balancing," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 54(i07).
    9. Jacob, Nikita & Munford, Luke & Rice, Nigel & Roberts, Jennifer, 2019. "The disutility of commuting? The effect of gender and local labor markets," Regional Science and Urban Economics, Elsevier, vol. 77(C), pages 264-275.
    10. Páez, Antonio & Whalen, Kate, 2010. "Enjoyment of commute: A comparison of different transportation modes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(7), pages 537-549, August.
    11. Roberts, Jennifer & Hodgson, Robert & Dolan, Paul, 2011. "“It's driving her mad”: Gender differences in the effects of commuting on psychological health," Journal of Health Economics, Elsevier, vol. 30(5), pages 1064-1076.
    12. Grossman, Michael, 1972. "On the Concept of Health Capital and the Demand for Health," Journal of Political Economy, University of Chicago Press, vol. 80(2), pages 223-255, March-Apr.
    13. van Ommeren, Jos N. & Gutiérrez-i-Puigarnau, Eva, 2011. "Are workers with a long commute less productive? An empirical analysis of absenteeism," Regional Science and Urban Economics, Elsevier, vol. 41(1), pages 1-8, January.
    14. Abadie, Alberto & Imbens, Guido W., 2011. "Bias-Corrected Matching Estimators for Average Treatment Effects," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(1), pages 1-11.
    15. Nicolas R. Ziebarth, 2009. "Measurement of Health, the Sensitivity of the Concentration Index, and Reporting Heterogeneity," SOEPpapers on Multidisciplinary Panel Data Research 211, DIW Berlin, The German Socio-Economic Panel (SOEP).
    16. Andrew M. Jones & Xander Koolman & Nigel Rice, 2006. "Health‐related non‐response in the British Household Panel Survey and European Community Household Panel: using inverse‐probability‐weighted estimators in non‐linear models," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(3), pages 543-569, July.
    17. Anable, Jillian & Gatersleben, Birgitta, 2005. "All work and no play? The role of instrumental and affective factors in work and leisure journeys by different travel modes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(2-3), pages 163-181.
    18. Friman, Margareta & Fujii, Satoshi & Ettema, Dick & Gärling, Tommy & Olsson, Lars E., 2013. "Psychometric analysis of the satisfaction with travel scale," Transportation Research Part A: Policy and Practice, Elsevier, vol. 48(C), pages 132-145.
    19. Ziebarth, Nicolas, 2010. "Measurement of health, health inequality, and reporting heterogeneity," Social Science & Medicine, Elsevier, vol. 71(1), pages 116-124, July.
    20. Nijman, T.E. & Verbeek, M.J.C.M., 1992. "Testing for selectivity in panel data models," Other publications TiSEM 7ec34a6c-1d84-4052-971c-d, Tilburg University, School of Economics and Management.
    21. Ho, Daniel E. & Imai, Kosuke & King, Gary & Stuart, Elizabeth A., 2007. "Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference," Political Analysis, Cambridge University Press, vol. 15(3), pages 199-236, July.
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    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Chris Sampson’s journal round-up for 8th March 2021
      by Chris Sampson in The Academic Health Economists' Blog on 2021-03-08 12:00:01

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    Cited by:

    1. Giménez-Nadal, José Ignacio & Molina, José Alberto & Velilla, Jorge, 2021. "Two-way commuting: Asymmetries from time use surveys," Journal of Transport Geography, Elsevier, vol. 95(C).
    2. Echeverría, Lucía & Gimenez-Nadal, José Ignacio & Molina, José Alberto, 2022. "Active Commuting and the Health of Workers," IZA Discussion Papers 15572, Institute of Labor Economics (IZA).
    3. Lim, Seulgi & Lee, Soohyung, 2023. "Sejong's Effects on People's Health: Consequences of a Long Commute," IZA Discussion Papers 16003, Institute of Labor Economics (IZA).
    4. Tao, Yinhua & van Ham, Maarten & Petrović, Ana & Ta, Na, 2023. "A household perspective on the commuting paradox: Longitudinal relationships between commuting time and subjective wellbeing for couples in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    5. Adiwan Aritenang, 2022. "Examining Socio-Economic Inequality Among Commuters: The Case of the Jakarta Metropolitan Area," Urban Planning, Cogitatio Press, vol. 7(3), pages 172-184.
    6. Nuno Figueiredo & Filipe Rodrigues & Pedro Morouço & Diogo Monteiro, 2021. "Active Commuting: An Opportunity to Fight Both Climate Change and Physical Inactivity," Sustainability, MDPI, vol. 13(8), pages 1-5, April.
    7. Melina Stein & Luca Nitschke & Laura Trost & Ansgar Dirschauer & Jutta Deffner, 2022. "Impacts of Commuting Practices on Social Sustainability and Sustainable Mobility," Sustainability, MDPI, vol. 14(8), pages 1-18, April.

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    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • I1 - Health, Education, and Welfare - - Health

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