IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0174859.html
   My bibliography  Save this article

GPS or travel diary: Comparing spatial and temporal characteristics of visits to fast food restaurants and supermarkets

Author

Listed:
  • Jason Y Scully
  • Anne Vernez Moudon
  • Philip M Hurvitz
  • Anju Aggarwal
  • Adam Drewnowski

Abstract

To assess differences between GPS and self-reported measures of location, we examined visits to fast food restaurants and supermarkets using a spatiotemporal framework. Data came from 446 participants who responded to a survey, filled out travel diaries of places visited, and wore a GPS receiver for seven consecutive days. Provided by Public Health Seattle King County, addresses from food permit data were matched to King County tax assessor parcels in a GIS. A three-step process was used to verify travel-diary reported visits using GPS records: (1) GPS records were temporally matched if their timestamps were within the time window created by the arrival and departure times reported in the travel diary; (2) the temporally matched GPS records were then spatially matched if they were located in a food establishment parcel of the same type reported in the diary; (3) the travel diary visit was then GPS-sensed if the name of food establishment in the parcel matched the one reported in the travel diary. To account for errors in reporting arrival and departure times, GPS records were temporally matched to three time windows: the exact time, +/- 10 minutes, and +/- 30 minutes. One third of the participants reported 273 visits to fast food restaurants; 88% reported 1,102 visits to supermarkets. Of these, 77.3 percent of the fast food and 78.6 percent supermarket visits were GPS-sensed using the +/-10-minute time window. At this time window, the mean travel-diary reported fast food visit duration was 14.5 minutes (SD 20.2), 1.7 minutes longer than the GPS-sensed visit. For supermarkets, the reported visit duration was 23.7 minutes (SD 18.9), 3.4 minutes longer than the GPS-sensed visit. Travel diaries provide reasonably accurate information on the locations and brand names of fast food restaurants and supermarkets participants report visiting.

Suggested Citation

  • Jason Y Scully & Anne Vernez Moudon & Philip M Hurvitz & Anju Aggarwal & Adam Drewnowski, 2017. "GPS or travel diary: Comparing spatial and temporal characteristics of visits to fast food restaurants and supermarkets," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-13, April.
  • Handle: RePEc:plo:pone00:0174859
    DOI: 10.1371/journal.pone.0174859
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0174859
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0174859&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0174859?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
    ---><---

    References listed on IDEAS

    as
    1. Forsyth, Ann & Lytle, Leslie & Van Riper, David, 2010. "Finding food: Issues and challenges in using Geographic Information Systems (GIS) to measure food access," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 3(1), pages 43-65.
    2. Rehm, Colin D. & Moudon, Anne V. & Hurvitz, Philip M. & Drewnowski, Adam, 2012. "Residential property values are associated with obesity among women in King County, WA, USA," Social Science & Medicine, Elsevier, vol. 75(3), pages 491-495.
    3. Stopher, Peter R. & Greaves, Stephen P., 2007. "Household travel surveys: Where are we going?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(5), pages 367-381, June.
    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. David Consolazio & Annemarie Koster & Simone Sarti & Miranda T Schram & Coen D A Stehouwer & Erik J Timmermans & Anke Wesselius & Hans Bosma, 2020. "Neighbourhood property value and type 2 diabetes mellitus in the Maastricht study: A multilevel study," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-13, June.
    2. Jariyasunant, Jerald & Carrel, Andre & Ekambaram, Venkatesan & Gaker, DJ & Kote, Thejovardhana & Sengupta, Raja & Walker, Joan L., 2011. "The Quantified Traveler: Using personal travel data to promote sustainable transport behavior," University of California Transportation Center, Working Papers qt9jg0p1rj, University of California Transportation Center.
    3. Caryn N. Bell & Jordan Kerr & Jessica L. Young, 2019. "Associations between Obesity, Obesogenic Environments, and Structural Racism Vary by County-Level Racial Composition," IJERPH, MDPI, vol. 16(5), pages 1-17, March.
    4. Gingerich, Kevin & Maoh, Hanna & Anderson, William, 2016. "Expansion of a GPS Truck Trip Sample to Remove Bias and Obtain Representative Flows for Ontario," 57th Transportation Research Forum (51st CTRF) Joint Conference, Toronto, Ontario, May 1-4, 2016 319310, Transportation Research Forum.
    5. Aihua Fan & Xumei Chen, 2020. "Exploring the Relationship between Transport Interventions, Mode Choice, and Travel Perception: An Empirical Study in Beijing, China," IJERPH, MDPI, vol. 17(12), pages 1-19, June.
    6. Li, Linchao & Zhu, Jiasong & Zhang, Hailong & Tan, Huachun & Du, Bowen & Ran, Bin, 2020. "Coupled application of generative adversarial networks and conventional neural networks for travel mode detection using GPS data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 136(C), pages 282-292.
    7. Chen, Cynthia & Gong, Hongmian & Lawson, Catherine & Bialostozky, Evan, 2010. "Evaluating the feasibility of a passive travel survey collection in a complex urban environment: Lessons learned from the New York City case study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(10), pages 830-840, December.
    8. Winters, Meghan & Voss, Christine & Ashe, Maureen C. & Gutteridge, Kaitlyn & McKay, Heather & Sims-Gould, Joanie, 2015. "Where do they go and how do they get there? Older adults' travel behaviour in a highly walkable environment," Social Science & Medicine, Elsevier, vol. 133(C), pages 304-312.
    9. Jason Y. Scully & Anne Vernez Moudon & Philip M. Hurvitz & Anju Aggarwal & Adam Drewnowski, 2019. "A Time-Based Objective Measure of Exposure to the Food Environment," IJERPH, MDPI, vol. 16(7), pages 1-14, April.
    10. Jariyasunant, Jerald & Carrel, Andre & Ekambaram, Venkatesan & Gaker, DJ & Kote, Thejovardhana & Sengupta, Raja & Walker, Joan L., 2011. "The Quantified Traveler: Using personal travel data to promote sustainable transport behavior," University of California Transportation Center, Working Papers qt678537sx, University of California Transportation Center.
    11. Patrick Bonnel & Etienne Hombourger & Ana-Maria Olteanu-Raimond & Zbigniew Smoreda, 2015. "Passive Mobile Phone Dataset to Construct Origin-destination Matrix: Potentials and Limitations," Post-Print halshs-01664219, HAL.
    12. Lukas Hartwig & Reinhard Hössinger & Yusak Octavius Susilo & Astrid Gühnemann, 2022. "The Impacts of a COVID-19 Related Lockdown (and Reopening Phases) on Time Use and Mobility for Activities in Austria—Results from a Multi-Wave Combined Survey," Sustainability, MDPI, vol. 14(12), pages 1-24, June.
    13. Wang, Xiang & Tong, Jiaxin & Zong, Weiyan & Lv, Yanqing & Shen, Jiayan, 2024. "Trip misreporting mining and expansion method for household travel survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 182(C).
    14. Michael Adjemian & Jeffrey Williams, 2009. "Using census aggregates to proxy for household characteristics: an application to vehicle ownership," Transportation, Springer, vol. 36(2), pages 223-241, March.
    15. Nina Verzosa & Stephen Greaves & Chinh Ho & Mark Davis, 2021. "Stated willingness to participate in travel surveys: a cross-country and cross-methods comparison," Transportation, Springer, vol. 48(3), pages 1311-1327, June.
    16. Andersson, Angelica & Kristoffersson, Ida & Daly, Andrew & Börjesson, Maria, 2024. "Long-distance mode choice estimation on joint travel survey and mobile phone network data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 190(C).
    17. Hannah Badland & Phil Donovan & Suzanne Mavoa & Melody Oliver & Moushumi Chaudhury & Karen Witten, 2015. "Assessing neighbourhood destination access for children: development of the NDAI-C audit tool," Environment and Planning B, , vol. 42(6), pages 1148-1160, November.
    18. Cesare Canalia & Maria Gabriela M. Pinho & Jeroen Lakerveld & Joreintje D. Mackenbach, 2020. "Field Validation of Commercially Available Food Retailer Data in the Netherlands," IJERPH, MDPI, vol. 17(6), pages 1-16, March.
    19. Nigro, Marialisa & Castiglione, Marisdea & Maria Colasanti, Fabio & De Vincentis, Rosita & Valenti, Gaetano & Liberto, Carlo & Comi, Antonio, 2022. "Exploiting floating car data to derive the shifting potential to electric micromobility," Transportation Research Part A: Policy and Practice, Elsevier, vol. 157(C), pages 78-93.
    20. Egu, Oscar & Bonnel, Patrick, 2020. "How comparable are origin-destination matrices estimated from automatic fare collection, origin-destination surveys and household travel survey? An empirical investigation in Lyon," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 267-282.

    More about this item

    Statistics

    Access and download statistics

    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:plo:pone00:0174859. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.