Validity of Food Outlet Databases from Commercial and Community Science datasets in Vancouver and Montreal

Author:

Firth Caislin1ORCID,Beairsto Jeneva2,Ferster Colin2,Longson Grace3,Manaugh Kevin3,Kestens Yan4,Winters Meghan2

Affiliation:

1. University of Washington

2. Simon Fraser University

3. McGill University

4. Université de Montréal

Abstract

We conducted a case study to assess the validity of community science (Yelp, OpenStreetMaps) and commercial (DMTI) food outlet datasets. We compared counts of food outlets from 13 street segments in Vancouver and Montreal to Google Street View. We found that OpenStreetMaps correctly identified the most outlets in both cities and DMTI consistency overcounted outlets. In Vancouver, we assessed validity by outlet type, again OpenStreetMap performed the best overall but largely missed grocery stores, and Yelp did not include convenience stores. Results provide insights into using different commercial and open-source datasets to measure food environments.

Publisher

Network Design Lab - Transport Findings

Subject

Pharmacology (medical)

Reference11 articles.

1. Using OpenStreetMap to inventory bicycle infrastructure: A comparison with open data from cities;Colin Ferster;International Journal of Sustainable Transportation,2019

2. OpenStreetMap wiki;Map features,2022

3. Quantifying the foodscape: A systematic review and meta-analysis of the validity of commercially available business data;Alexandre Lebel;PloS one,2017

4. Assessing the validity of commercial and municipal food environment data sets in Vancouver, Canada;Madeleine IG Daepp;Public Health Nutrition,2017

5. Field validation of secondary data sources: A novel measure of representativity applied to a Canadian food outlet database;Christelle M Clary;International Journal of Behavioral Nutrition and Physical Activity,2013

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