Introducing the Facility List Coder: A New Dataset/Method to Evaluate Community Food Environments

Ana María Arcila-Agudelo, Juan Carlos Muñoz-Mora and Andreu Farran-Codina
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Ana María Arcila-Agudelo: Department of Nutrition, Food Science, and Gastronomy, XaRTA–INSA, Faculty of Pharmacy, University of Barcelona, Av. Prat de la Riba, Campus de l’Alimentació de Torribera, 171, Santa Coloma de Gramenet, E-08921 Barcelona, Spain
Juan Carlos Muñoz-Mora: Department of Economics, Universidad EAFIT, Medellín 050022, Colombia
Andreu Farran-Codina: Department of Nutrition, Food Science, and Gastronomy, XaRTA–INSA, Faculty of Pharmacy, University of Barcelona, Av. Prat de la Riba, Campus de l’Alimentació de Torribera, 171, Santa Coloma de Gramenet, E-08921 Barcelona, Spain
Authors registered in the RePEc Author Service: Juan Carlos Muñoz-Mora ()

Data, 2020, vol. 5, issue 1, 1-6

Abstract: Community food environments have been shown to be important determinants to explain dietary patterns. This data descriptor describes a typical dataset obtained after applying the Facility List Coder (FLC), a new tool to asses community food environments that was validated and presented. The FLC was developed in Python 3.7 combining GIS analysis with standard data techniques. It offers a low-cost, scalable, efficient, and user-friendly way to indirectly identify community nutritional environments in any context. The FLC uses the most open access information to identify the facilities (e.g., convenience food store, bar, bakery, etc.) present around a location of interest (e.g., school, hospital, or university). As a result, researchers will have a comprehensive list of facilities around any location of interest allowing the assessment of key research questions on the influence of the community food environment on different health outcomes (e.g., obesity, physical inactivity, or diet quality). The FLC can be used either as a main source of information or to complement traditional methods such as store census and official commercial lists, among others.

Keywords: community food environments; nutrition environment; geographical information technologies (GIS); facility list coder; Python (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2020
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