2020
DOI: 10.1057/s41599-020-0455-y
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Estimating temporary populations: a systematic review of the empirical literature

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 … Show more

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Cited by 21 publications
(23 citation statements)
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“…However, the time span covered by most big data sources is very limited; therefore, the relevant research mainly deploys cross-sectional analysis, and it is difficult to track temporal changes of a small area. Importantly, due to potential biases in the spatiotemporal coverage of big data, even with long-term observations, constructing a consistent and reliable measure is still an enormous challenge for scientists 17 , 18 . For instance, the number of users of different web platforms – the main sources for big data – are changing dynamically.…”
Section: Background and Summarymentioning
confidence: 99%
“…However, the time span covered by most big data sources is very limited; therefore, the relevant research mainly deploys cross-sectional analysis, and it is difficult to track temporal changes of a small area. Importantly, due to potential biases in the spatiotemporal coverage of big data, even with long-term observations, constructing a consistent and reliable measure is still an enormous challenge for scientists 17 , 18 . For instance, the number of users of different web platforms – the main sources for big data – are changing dynamically.…”
Section: Background and Summarymentioning
confidence: 99%
“…Existing studies regarding the ambient population have employed a range of data sources, both conventional and novel; however, there is a lack of research assessing the viability of these data sources. While the systematic literature review by Panczak, Charles-Edwards and Corcoran [3] identifies potential data sources, it does not assess their suitability for building estimates of the ambient population. This paper assesses the viability of datasets previously employed and identifies those which may be useful and therefore should be validated.…”
Section: Introductionmentioning
confidence: 99%
“…Australian scholars have been leading international efforts to develop standardised estimates of temporary populations at varying geographical and temporal scales (Charles-Edwards et al 2020). This important work, expertly synthesised recently by Panczak et al (2020), foregrounds the necessity of such estimates because of the significant service-related impacts that temporary populations can have on different kinds of small area localities. As Charles-Edwards et al ( 2020) identified from their survey of (mostly government) stakeholders, information about temporary populations is critical for: infrastructure and social service planning; land use planning; assessing and managing potential social, economic, and environmental impacts, and; securing fiscal equalisation grants.…”
Section: Introductionmentioning
confidence: 99%