IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v9y2012i8p2601-2607d19047.html
   My bibliography  Save this article

Field Validation of Food Service Listings: A Comparison of Commercial and Online Geographic Information System Databases

Author

Listed:
  • Laura Seliske

    (Department of Community Health & Epidemiology, Queen’s University, Kingston, ON K7L 3N6, Canada)

  • William Pickett

    (Department of Community Health & Epidemiology, Queen’s University, Kingston, ON K7L 3N6, Canada
    Clinical Research Center, Angada 3, Kingston General Hospital, 76 Stuart St., Kingston, ON K7L 2V7, Canada)

  • Rebecca Bates

    (School of Kinesiology & Health Studies, Queen’s University, 28 Division Street, Kingston, ON K7L 3N6, Canada)

  • Ian Janssen

    (Department of Community Health & Epidemiology, Queen’s University, Kingston, ON K7L 3N6, Canada
    School of Kinesiology & Health Studies, Queen’s University, 28 Division Street, Kingston, ON K7L 3N6, Canada)

Abstract

Many studies examining the food retail environment rely on geographic information system (GIS) databases for location information. The purpose of this study was to validate information provided by two GIS databases, comparing the positional accuracy of food service places within a 1 km circular buffer surrounding 34 schools in Ontario, Canada. A commercial database (InfoCanada) and an online database (Yellow Pages) provided the addresses of food service places. Actual locations were measured using a global positioning system (GPS) device. The InfoCanada and Yellow Pages GIS databases provided the locations for 973 and 675 food service places, respectively. Overall, 749 (77.1%) and 595 (88.2%) of these were located in the field. The online database had a higher proportion of food service places found in the field. The GIS locations of 25% of the food service places were located within approximately 15 m of their actual location, 50% were within 25 m, and 75% were within 50 m. This validation study provided a detailed assessment of errors in the measurement of the location of food service places in the two databases. The location information was more accurate for the online database, however, when matching criteria were more conservative, there were no observed differences in error between the databases.

Suggested Citation

  • Laura Seliske & William Pickett & Rebecca Bates & Ian Janssen, 2012. "Field Validation of Food Service Listings: A Comparison of Commercial and Online Geographic Information System Databases," IJERPH, MDPI, vol. 9(8), pages 1-7, July.
  • Handle: RePEc:gam:jijerp:v:9:y:2012:i:8:p:2601-2607:d:19047
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/9/8/2601/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/9/8/2601/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Davis, B. & Carpenter, C., 2009. "Proximity of fast-food restaurants to schools and adolescent obesity," American Journal of Public Health, American Public Health Association, vol. 99(3), pages 505-510.
    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. Julia Díez & Alba Cebrecos & Iñaki Galán & Hugo Pérez-Freixo & Manuel Franco & Usama Bilal, 2019. "Assessing the Retail Food Environment in Madrid: An Evaluation of Administrative Data against Ground Truthing," IJERPH, MDPI, vol. 16(19), pages 1-12, September.
    2. Laura Seliske & William Pickett & Andrei Rosu & Ian Janssen, 2012. "Identification of the Appropriate Boundary Size to Use When Measuring the Food Retail Environment Surrounding Schools," IJERPH, MDPI, vol. 9(8), pages 1-13, July.

    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. Adamopoulou, Effrosyni & Olivieri, Elisabetta & Triviza, Eleftheria, 2023. "Eating habits, food consumption, and health: The role of early life experiences," ZEW Discussion Papers 23-054, ZEW - Leibniz Centre for European Economic Research.
    2. Asirvatham, Jebaraj & Thomsen, Michael R. & Nayga, Rodolfo M. & Goudie, Anthony, 2019. "Do fast food restaurants surrounding schools affect childhood obesity?," Economics & Human Biology, Elsevier, vol. 33(C), pages 124-133.
    3. Michael L. Anderson & David A. Matsa, 2011. "Are Restaurants Really Supersizing America?," American Economic Journal: Applied Economics, American Economic Association, vol. 3(1), pages 152-188, January.
    4. Bütikofer, Aline & Abrahamsson, Sara & Karbownik, Krzysztof, 2023. "Swallow This: Childhood and Adolescent Exposure to Fast Food Restaurants, BMI, and Cognitive Ability," CEPR Discussion Papers 18213, C.E.P.R. Discussion Papers.
    5. Kumcu, Aylin & Okrent, Abigail M ., 2014. "Methodology for the Quarterly Food-Away-From-Home Prices Data," Technical Bulletins 184292, United States Department of Agriculture, Economic Research Service.
    6. Lin Lin & Xueming (Jimmy) Chen & Anne Vernez Moudon, 2021. "Measuring the Urban Forms of Shanghai’s City Center and Its New Districts: A Neighborhood-Level Comparative Analysis," Sustainability, MDPI, vol. 13(15), pages 1-18, July.
    7. Philip Gleason & Ronette Briefel & Ander Wilson & Allison Hedley Dodd, "undated". "School Meal Program Participation and Its Association with Dietary Patterns and Childhood Obesity," Mathematica Policy Research Reports c1c533c65a3d4883a9b227c21, Mathematica Policy Research.
    8. Hunt Allcott & Rebecca Diamond & Jean-Pierre Dubé & Jessie Handbury & Ilya Rahkovsky & Molly Schnell, 2019. "Food Deserts and the Causes of Nutritional Inequality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(4), pages 1793-1844.
    9. Dolton, Peter J. & Tafesse, Wiktoria, 2022. "Childhood obesity, is fast food exposure a factor?," Economics & Human Biology, Elsevier, vol. 46(C).
    10. Hall, Brian J. & Huang, Lei & Yi, Grace & Latkin, Carl, 2021. "Fast food restaurant density and weight status: A spatial analysis among Filipina migrant workers in Macao (SAR), People's Republic of China," Social Science & Medicine, Elsevier, vol. 269(C).
    11. Kovacs, Viktoria Anna & Messing, Sven & Sandu, Petru & Nardone, Paola & Pizzi, Enrica & Hassapidou, Maria & Brukalo, Katarzyna & Tecklenburg, Ernestine & Abu-Omar, Karim, 2020. "Improving the food environment in kindergartens and schools: An overview of policies and policy opportunities in Europe," Food Policy, Elsevier, vol. 96(C).
    12. Chang, Hung-Hao & Meyerhoefer, Chad D., 2019. "Inter-brand competition in the convenience store industry, store density and healthcare utilization," Journal of Health Economics, Elsevier, vol. 65(C), pages 117-132.
    13. Hamrick, Karen & Okrent, Abigail, 2014. "Timing is Everything: The Role of Time and the Business Cycle in Fast-Food Purchasing Behavior in the United States," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170156, Agricultural and Applied Economics Association.
    14. Kolodinsky, Jane M. & Battista, Geoffrey & Roche, Erin & Lee, Brian H.Y. & Johnson, Rachel K., 2017. "Estimating the effect of mobility and food choice on obesity in a rural, northern environment," Journal of Transport Geography, Elsevier, vol. 61(C), pages 30-39.
    15. Julia Woodhall-Melnik & Flora I Matheson, 2017. "More than convenience: the role of habitus in understanding the food choices of fast food workers," Work, Employment & Society, British Sociological Association, vol. 31(5), pages 800-815, October.
    16. 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.
    17. Philippe Batifoulier & Denis Abecassis & Nicolas da Silva & Victor Duchesne & Léonard Moulin, 2016. "L’utilité sociale de la dépense publique," Working Papers hal-01421197, HAL.
    18. Jue Wang & Mei-Po Kwan, 2018. "An Analytical Framework for Integrating the Spatiotemporal Dynamics of Environmental Context and Individual Mobility in Exposure Assessment: A Study on the Relationship between Food Environment Exposu," IJERPH, MDPI, vol. 15(9), pages 1-24, September.
    19. Mariane de Almeida Alves & Maria Gabriela M. Pinho & Elizabeth Nappi Corrêa & Janaina das Neves & Francisco de Assis Guedes de Vasconcelos, 2019. "Parental Perceived Travel Time to and Reported Use of Food Retailers in Association with School Children’s Dietary Patterns," IJERPH, MDPI, vol. 16(5), pages 1-12, March.
    20. Brennan Davis & Cornelia Pechmann, 2023. "When Students Patronize Fast-Food Restaurants near School: The Effects of Identification with the Student Community, Social Activity Spaces and Social Liability Interventions," IJERPH, MDPI, vol. 20(5), pages 1-24, March.

    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:jijerp:v:9:y:2012:i:8:p:2601-2607:d:19047. 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.