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Exploring a Big Data Approach to Building a List Frame for Urban Agriculture: A Pilot Study in the City of Baltimore

Author

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  • Young Linda J.

    (USDA National Agricultural Statistics Service, Research and Development Division, 1400 Independence Avenue SW, Washington DC20250, U.S.A.)

  • Hyman Michael

    (USDA National Agricultural Statistics Service, Research and Development Division, 1400 Independence Avenue SW, Washington DC20250, U.S.A.)

  • Rater Barbara R.

    (USDA National Agricultural Statistics Service, Census and Survey Division, 1400 Independence Avenue SW, Washington DC20250, U.S.A.)

Abstract

The United States Department of Agriculture’s National Agricultural Statistics Service (NASS) has the responsibility of quantifying the nation’s agricultural production. Historically, it has focused on large production agriculture. With interest and activity increasing in urban areas, NASS has begun exploring how to better quantify urban agriculture. This segment of agriculture is particularly challenging to enumerate because the agricultural holdings tend to be small, diverse, widely dispersed, and more transient than the predominantly large farms in rural areas. In collaboration with the Multi-Agency Collaboration Environment (MACE), a new approach to list building was explored in a pilot study conducted in the City of Baltimore, Maryland. Using a big data approach, areas of potential agricultural activity were identified by gathering information (state and local permits, Facebook and twitter feeds, interest groups, etc.) via the web. A sample was drawn from the list, and an in-person survey was conducted to assess whether or not the identified areas had agricultural activity. The results of the pilot study are presented. Lessons learned from the study and next steps are discussed.

Suggested Citation

  • Young Linda J. & Hyman Michael & Rater Barbara R., 2018. "Exploring a Big Data Approach to Building a List Frame for Urban Agriculture: A Pilot Study in the City of Baltimore," Journal of Official Statistics, Sciendo, vol. 34(2), pages 323-340, June.
    • Handle: RePEc:vrs:offsta:v:34:y:2018:i:2:p:323-340:n:3
    DOI: 10.2478/jos-2018-0015
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    References listed on IDEAS

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    1. Lohr, Sharon & Rao, J.N.K., 2006. "Estimation in Multiple-Frame Surveys," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 1019-1030, September.
    2. Sarah Taylor Lovell, 2010. "Multifunctional Urban Agriculture for Sustainable Land Use Planning in the United States," Sustainability, MDPI, vol. 2(8), pages 1-24, August.
    3. Kathrin Specht & Rosemarie Siebert & Ina Hartmann & Ulf Freisinger & Magdalena Sawicka & Armin Werner & Susanne Thomaier & Dietrich Henckel & Heike Walk & Axel Dierich, 2014. "Urban agriculture of the future: an overview of sustainability aspects of food production in and on buildings," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 31(1), pages 33-51, March.
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