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Patterns of Walking Among Employed, Urban Canadians: Variations by Commuting Mode, Time of Day, and Days of the Week

Author

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  • William Michelson

    (University of Toronto)

  • Ugo Lachapelle

    (Université du Québec à Montréal)

Abstract

This paper illustrates the facility of time-use files to enhance the understanding of behavioral components of commuting. It draws on data from Statistics Canada’s most recent national General Social Survey (2010) to substantiate prior research on the extent that use of public transit for commuting to work is accompanied in people’s days by a greater amount of walking. By verifying alternative explanations for this relationship, the paper explores more thoroughly how walking fits into the daily lives of employed persons in large urban areas. Results show that travel by car comprises upwards of 80 per cent of trips regardless of the hour of the day, while public transportation is used mostly to get to and from paid work. Although walking generally accompanies such transit commutes and is shown to fit sequentially into transit’s temporal patterns, walking spreads out more evenly across the day than transit use and helps complete other trip purposes. The weekday walking pattern extends to weekend days to a surprisingly similar extent, confirming that transit is but one of numerous generators of walking trips. Statistically significant relationships link minutes walked to household income, access to a car, and main mode used for commuting. However, the pre-eminence of commuting by car raises questions about the effective priorities and constraints underlying choice of main commuting mode. More detailed characterization of transit access and subjective questions in time-use surveys could facilitate greater insight into the rationales of the subgroup choosing public transit and walking more frequently and for longer duration.

Suggested Citation

  • William Michelson & Ugo Lachapelle, 2016. "Patterns of Walking Among Employed, Urban Canadians: Variations by Commuting Mode, Time of Day, and Days of the Week," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 11(4), pages 1321-1340, December.
  • Handle: RePEc:spr:ariqol:v:11:y:2016:i:4:d:10.1007_s11482-015-9439-2
    DOI: 10.1007/s11482-015-9439-2
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    References listed on IDEAS

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    1. Katharine G. Abraham & Aaron Maitland & Suzanne M. Bianchi, 2006. "Non-response in the American Time Use Survey: Who Is Missing from the Data and How Much Does It Matter?," NBER Technical Working Papers 0328, National Bureau of Economic Research, Inc.
    2. Morency, Catherine & Trépanier, Martin & Demers, Marie, 2011. "Walking to transit: An unexpected source of physical activity," Transport Policy, Elsevier, vol. 18(6), pages 800-806, November.
    3. Freeland, A.L. & Banerjee, S.N. & Dannenberg, A.L. & Wendel, A.M., 2013. "Walking associated with public transit: Moving toward increased physical activity in the United States," American Journal of Public Health, American Public Health Association, vol. 103(3), pages 536-542.
    4. William Michelson, 2009. "Variations in the rational use of time – The travel pulse of commutes between home and job," electronic International Journal of Time Use Research, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)) and The International Association for Time Use Research (IATUR), vol. 6(2), pages 269-285, September.
    5. Lachapelle, Ugo & Noland, Robert B., 2012. "Does the commute mode affect the frequency of walking behavior? The public transit link," Transport Policy, Elsevier, vol. 21(C), pages 26-36.
    6. Heisz, Andrew & Schellenberg, Grant, 2004. "Public Transit Use Among Immigrants," Analytical Studies Branch Research Paper Series 2004224e, Statistics Canada, Analytical Studies Branch.
    7. Saelens, B.E. & Moudon, A.V. & Kang, B. & Hurvitz, P.M. & Zhou, C., 2014. "Relation between higher physical activity and public transit use," American Journal of Public Health, American Public Health Association, vol. 104(5), pages 854-859.
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    Cited by:

    1. Christian WEISMAYER, 2022. "Applied Research in Quality of Life: A Computational Literature Review," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 17(3), pages 1433-1458, June.

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