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Estimating temporary populations: a systematic review of the empirical literature

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  • Radoslaw Panczak

    (The University of Queensland)

  • Elin Charles-Edwards

    (The University of Queensland)

  • Jonathan Corcoran

    (The University of Queensland)

Abstract

The estimation of temporary populations is a well-established field, but despite growing interest they are yet to form part of the standard suite of official population statistics. This systematic review seeks to review the empirical literature on temporary population estimation and identify the contemporary “state of the art”. We identify a total of 96 studies that attempt to estimate or describe a method of estimation. Our findings reveal strong growth in the number of studies in recent decades that in part has been driven by the rise in both the type and availability of new sources of information, including mobile phone data. What emerges from this systematic review is the lack of any “gold standard” data source or methodology for temporary population estimation. The review points to a number of important challenges that remain for estimating temporary populations, both conceptually and practically. What remains is the need for clear definitions along with identification of appropriate data and methods that are able to robustly capture and measure the diverse array of spatial behaviours that drive temporary population dynamics. To our knowledge, this is the first review on this topic that brings together literature from various disciplines and collates methods used for estimation.

Suggested Citation

  • Radoslaw Panczak & Elin Charles-Edwards & Jonathan Corcoran, 2020. "Estimating temporary populations: a systematic review of the empirical literature," Palgrave Communications, Palgrave Macmillan, vol. 6(1), pages 1-10, June.
    • Handle: RePEc:pal:palcom:v:6:y:2020:i:1:d:10.1057_s41599-020-0455-y
    DOI: 10.1057/s41599-020-0455-y
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    References listed on IDEAS

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    1. Geoff Boeing, 2018. "Estimating local daytime population density from census and payroll data," Regional Studies, Regional Science, Taylor & Francis Journals, vol. 5(1), pages 179-182, January.
    2. Stanley Smith & Mark House, 2007. "Temporary migration: a case study of Florida," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 26(4), pages 437-454, August.
    3. Hodur, Nancy M. & Bangsund, Dean A., 2015. "Service Population Estimates for City of Williston," Agribusiness & Applied Economics Report 205347, North Dakota State University, Department of Agribusiness and Applied Economics.
    4. Stephan D. Whitaker, 2019. "12 Facts about Temporary Urbanists," Economic Commentary, Federal Reserve Bank of Cleveland, issue May.
    5. David Moher & Alessandro Liberati & Jennifer Tetzlaff & Douglas G Altman & The PRISMA Group, 2009. "Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement," PLOS Medicine, Public Library of Science, vol. 6(7), pages 1-6, July.
    6. Julian H Elliott & Tari Turner & Ornella Clavisi & James Thomas & Julian P T Higgins & Chris Mavergames & Russell L Gruen, 2014. "Living Systematic Reviews: An Emerging Opportunity to Narrow the Evidence-Practice Gap," PLOS Medicine, Public Library of Science, vol. 11(2), pages 1-6, February.
    7. Harry Sharp, 1955. "The Non-Residential Population of the Central Business District," Land Economics, University of Wisconsin Press, vol. 31(4), pages 378-381.
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    1. Areum Jo & Sang-Kyeong Lee & Jaecheol Kim, 2020. "Gender Gaps in the Use of Urban Space in Seoul: Analyzing Spatial Patterns of Temporary Populations Using Mobile Phone Data," Sustainability, MDPI, vol. 12(16), pages 1-22, August.

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