IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i12p5466-d1678457.html
   My bibliography  Save this article

Does Public Transport Planning Consider Mobility of Care? A Critical Policy Review of Toronto, Canada

Author

Listed:
  • Rebecca Smith

    (School of Earth, Environment & Society, McMaster University, Hamilton, ON L8S 4L8, Canada
    Peter A. Allard School of Law, University of British Columbia, Vancouver, BC V6T 1Z1, Canada)

  • Poorva Jain

    (School of Urban and Regional Planning, University of Alberta, Edmonton, AB T6G 2E3, Canada)

  • Emily Grisé

    (School of Urban and Regional Planning, University of Alberta, Edmonton, AB T6G 2E3, Canada)

  • Geneviève Boisjoly

    (Département des Génies Civil, Géologique et des Mines, Polytechnique Montréal, Montréal, QC H3T 1J4, Canada)

  • Léa Ravensbergen

    (School of Earth, Environment & Society, McMaster University, Hamilton, ON L8S 4L8, Canada)

Abstract

The concept ‘mobility of care’ captures all the daily travel necessary for the upkeep of a household, including trips to grocery stores, health-related appointments, errands, and caring activities for dependents. Since it was originally coined in 2009, a handful of studies have shown how poorly mobility of care trips are captured in transportation surveys. These preliminary analyses also find that care trips comprise a substantial proportion of daily mobility. As women disproportionately engage in ‘mobility of care’ travel, the under-consideration of care trips is argued to result in a gender bias in transport planning. Despite this, transport policy related to mobility of care has received less attention. Given that transport policy shapes how transport systems operate, this paper explores the extent to which recent transport policies consider mobility of care. A critical policy review framework is used to systematically examine seven policy documents (435 pages) from the Toronto Transit Commission (TTC), the largest transit agency in Canada. Results indicate that mobility of care is rarely directly considered or significantly discussed. Instead, transport policy often uses the commute to work as the default trip. Mentions of care destinations and trip characteristics associated with mobility of care are more common in recent years and most frequently discussed in relation to the COVID-19 pandemic or specialized services for seniors and people with disabilities. Policies that likely facilitate mobility of care indirectly are also identified, including fare discounts, transfer windows, and accessibility policies. The review concludes with preliminary recommendations on how transit agencies can more directly plan for mobility of care.

Suggested Citation

  • Rebecca Smith & Poorva Jain & Emily Grisé & Geneviève Boisjoly & Léa Ravensbergen, 2025. "Does Public Transport Planning Consider Mobility of Care? A Critical Policy Review of Toronto, Canada," Sustainability, MDPI, vol. 17(12), pages 1-16, June.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:12:p:5466-:d:1678457
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/12/5466/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/17/12/5466/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Frank Primerano & Michael Taylor & Ladda Pitaksringkarn & Peter Tisato, 2008. "Defining and understanding trip chaining behaviour," Transportation, Springer, vol. 35(1), pages 55-72, January.
    Full references (including those not matched with items on IDEAS)

    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. Su, Rongxiang & Xiao, Jingyi & McBride, Elizabeth C. & Goulias, Konstadinos G., 2021. "Understanding senior's daily mobility patterns in California using human mobility motifs," Journal of Transport Geography, Elsevier, vol. 94(C).
    2. Subbarao, S.S.V. & Krishna Rao, K,V., 2013. "Trip Chaining Behavior in Developing Countries: A Study of Mumbai Metropolitan Region, India," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 53, pages 1-7.
    3. Weis, Claude & Axhausen, Kay W., 2009. "Induced travel demand: Evidence from a pseudo panel data based structural equations model," Research in Transportation Economics, Elsevier, vol. 25(1), pages 8-18.
    4. Wan, Li & Tang, Junqing & Wang, Lihua & Schooling, Jennifer, 2021. "Understanding non-commuting travel demand of car commuters – Insights from ANPR trip chain data in Cambridge," Transport Policy, Elsevier, vol. 106(C), pages 76-87.
    5. Ma, Xiaolei & Liu, Congcong & Wen, Huimin & Wang, Yunpeng & Wu, Yao-Jan, 2017. "Understanding commuting patterns using transit smart card data," Journal of Transport Geography, Elsevier, vol. 58(C), pages 135-145.
    6. João De Abreu e Silva, 2018. "The Effects of Land-Use Patterns on Home-Based Tour Complexity and Total Distances Traveled: A Path Analysis," Sustainability, MDPI, vol. 10(3), pages 1-16, March.
    7. Meina Zheng & Feng Liu & Xiucheng Guo & Xinyue Lei, 2019. "Assessing the Distribution of Commuting Trips and Jobs-Housing Balance Using Smart Card Data: A Case Study of Nanjing, China," Sustainability, MDPI, vol. 11(19), pages 1-19, September.
    8. Graham, Charles & Khan, Kamran & Ilyas, Muhammad, 2019. "Estimating the value of passing trade from pedestrian density," Journal of Retailing and Consumer Services, Elsevier, vol. 46(C), pages 103-111.
    9. Harsh Shah & Andre L. Carrel & Huyen T. K. Le, 2024. "Impacts of teleworking and online shopping on travel: a tour-based analysis," Transportation, Springer, vol. 51(1), pages 99-127, February.
    10. Jieun Lee & Igor Vojnovic & Sue C Grady, 2018. "The ‘transportation disadvantaged’: Urban form, gender and automobile versus non-automobile travel in the Detroit region," Urban Studies, Urban Studies Journal Limited, vol. 55(11), pages 2470-2498, August.
    11. Rafael Milani Medeiros & Fábio Duarte & Iva Bojic & Yang Xu & Paolo Santi & Carlo Ratti, 2024. "Merging transport network companies and taxis in Curitiba’s BRT system," Public Transport, Springer, vol. 16(1), pages 269-293, March.
    12. Ho, Chinh Q. & Hensher, David A., 2016. "A workplace choice model accounting for spatial competition and agglomeration effects," Journal of Transport Geography, Elsevier, vol. 51(C), pages 193-203.
    13. Florian Schneider & Danique Ton & Lara-Britt Zomer & Winnie Daamen & Dorine Duives & Sascha Hoogendoorn-Lanser & Serge Hoogendoorn, 2021. "Trip chain complexity: a comparison among latent classes of daily mobility patterns," Transportation, Springer, vol. 48(2), pages 953-975, April.
    14. Michael Duncan, 2016. "How much can trip chaining reduce VMT? A simplified method," Transportation, Springer, vol. 43(4), pages 643-659, July.
    15. Heleen Buldeo Rai & Koen Mommens & Sara Verlinde & Cathy Macharis, 2019. "How Does Consumers’ Omnichannel Shopping Behaviour Translate into Travel and Transport Impacts? Case-Study of a Footwear Retailer in Belgium," Sustainability, MDPI, vol. 11(9), pages 1-19, May.
    16. Ed Manley & Chen Zhong & Michael Batty, 2018. "Spatiotemporal variation in travel regularity through transit user profiling," Transportation, Springer, vol. 45(3), pages 703-732, May.
    17. Mohiuddin, Hossain & Fitch-Polse, Dillon T. PhD, 2024. "Is Micromobility Being Used in Place of Car Trips in Daily Travel (or “Trip Chains”)?," Institute of Transportation Studies, Working Paper Series qt2r66k788, Institute of Transportation Studies, UC Davis.
    18. Xiaoqi Duan & Jianbing Yang & Sha Yu & Youliang Tian, 2024. "Integrating Spatiotemporal and Travel-Related Information for Accurate Urban Passenger Profiling Using GANs," Land, MDPI, vol. 13(12), pages 1-20, December.
    19. Günter Wallner & Simone Kriglstein & Edward Chung & Syeed Anta Kashfi, 2018. "Visualisation of trip chaining behaviour and mode choice using household travel survey data," Public Transport, Springer, vol. 10(3), pages 427-453, December.
    20. Biao Yin & Fabien Leurent, 2023. "What are the multimodal patterns of individual mobility at the day level in the Paris region? A two-stage data-driven approach based on the 2018 Household Travel Survey," Transportation, Springer, vol. 50(4), pages 1497-1526, August.

    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:gam:jsusta:v:17:y:2025:i:12:p:5466-:d:1678457. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.