IDEAS home Printed from https://ideas.repec.org/a/spr/ariqol/v11y2016i4d10.1007_s11482-015-9439-2.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11482-015-9439-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11482-015-9439-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. 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.
    3. 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.
    4. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hong, Andy & Boarnet, Marlon G. & Houston, Douglas, 2016. "New light rail transit and active travel: A longitudinal study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 131-144.
    2. Gascon, Mireia & Marquet, Oriol & Gràcia-Lavedan, Esther & Ambròs, Albert & Götschi, Thomas & Nazelle, Audrey de & Panis, Luc Int & Gerike, Regine & Brand, Christian & Dons, Evi & Eriksson, Ulf & Iaco, 2020. "What explains public transport use? Evidence from seven European cities," Transport Policy, Elsevier, vol. 99(C), pages 362-374.
    3. Panyu Tang & Mahdi Aghaabbasi & Mujahid Ali & Amin Jan & Abdeliazim Mustafa Mohamed & Abdullah Mohamed, 2022. "How Sustainable Is People’s Travel to Reach Public Transit Stations to Go to Work? A Machine Learning Approach to Reveal Complex Relationships," Sustainability, MDPI, vol. 14(7), pages 1-18, March.
    4. Simons, Dorien & Clarys, Peter & De Bourdeaudhuij, Ilse & de Geus, Bas & Vandelanotte, Corneel & Deforche, Benedicte, 2014. "Why do young adults choose different transport modes? A focus group study," Transport Policy, Elsevier, vol. 36(C), pages 151-159.
    5. Kenneth Joh & Sandip Chakrabarti & Marlon G. Boarnet & Ayoung Woo, 2015. "The Walking Renaissance: A Longitudinal Analysis of Walking Travel in the Greater Los Angeles Area, USA," Sustainability, MDPI, vol. 7(7), pages 1-27, July.
    6. Lovejoy, Kristin, 2012. "Mobility Fulfillment Among Low-car Households: Implications for Reducing Auto Dependence in the United States," Institute of Transportation Studies, Working Paper Series qt4v44b5qn, Institute of Transportation Studies, UC Davis.
    7. Boisjoly, Geneviève & Serra, Bernardo & Oliveira, Gabriel T. & El-Geneidy, Ahmed, 2020. "Accessibility measurements in São Paulo, Rio de Janeiro, Curitiba and Recife, Brazil," Journal of Transport Geography, Elsevier, vol. 82(C).
    8. Michael Osei Mireku & Alina Rodriguez, 2021. "Sleep Duration and Waking Activities in Relation to the National Sleep Foundation’s Recommendations: An Analysis of US Population Sleep Patterns from 2015 to 2017," IJERPH, MDPI, vol. 18(11), pages 1-15, June.
    9. Cobb-Clark, Deborah A. & Sinning, Mathias G., 2011. "Neighborhood diversity and the appreciation of native- and immigrant-owned homes," Regional Science and Urban Economics, Elsevier, vol. 41(3), pages 214-226, May.
    10. Joshua Graff Zivin & Matthew Neidell, 2014. "Temperature and the Allocation of Time: Implications for Climate Change," Journal of Labor Economics, University of Chicago Press, vol. 32(1), pages 1-26.
    11. Hu, Lingqian & Klein, Nicholas J. & Smart, Michael J., 2021. "Comparing immigrant commute travel adaptation across and within racial/ethnic groups," Transport Policy, Elsevier, vol. 110(C), pages 112-122.
    12. Daniel S. Hamermesh & Katie R. Genadek & Michael C. Burda, 2022. "Reply to “Racial Differences in Time at Work Not Working†by William A. Darity Jr. et al," ILR Review, Cornell University, ILR School, vol. 75(3), pages 573-577, May.
    13. Jens Bonke & Mette Deding & Mette Lausten & Leslie S. Stratton, 2008. "Intra‐Household Specialization in Housework in the United States and Denmark," Social Science Quarterly, Southwestern Social Science Association, vol. 89(4), pages 1023-1043, December.
    14. Arenas-Arroyo, Esther & Schmidpeter, Bernhard, 2022. "Spillover effects of immigration policies on children's human capital," Ruhr Economic Papers 974, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    15. Bereitschaft, Bradley, 2020. "Gentrification and the evolution of commuting behavior within America's urban cores, 2000–2015," Journal of Transport Geography, Elsevier, vol. 82(C).
    16. Borgschulte, Mark & Cho, Heepyung & Lubotsky, Darren, 2022. "Partisanship and survey refusal," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 332-357.
    17. Yang, Yongjiang & Sasaki, Kuniaki & Cheng, Long & Tao, Sui, 2022. "Does the built environment matter for active travel among older adults: Insights from Chiba City, Japan," Journal of Transport Geography, Elsevier, vol. 101(C).
    18. Andy Hong & Marlon G. Boarnet & Doug Houston, 2013. "Does light rail transit increase physical activity?," Working Paper 9212, USC Lusk Center for Real Estate.
    19. Fullerton, Thomas M. Jr & Walke, Adam G., 2012. "Border Zone Mass Transit Demand in Brownsville and Laredo," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 51(2).
    20. Eun Jung Kim & Hyunjung Kim, 2020. "Neighborhood Walkability and Housing Prices: A Correlation Study," Sustainability, MDPI, vol. 12(2), pages 1-18, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:ariqol:v:11:y:2016:i:4:d:10.1007_s11482-015-9439-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.