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A data fusion approach to the estimation of temporary populations: An application to Australia
- Source :
- PLoS ONE, Vol 16, Iss 11, p e0259377 (2021), PLoS ONE, PLoS ONE, Vol 16, Iss 11 (2021)
- Publication Year :
- 2021
- Publisher :
- Public Library of Science (PLoS), 2021.
-
Abstract
- This study establishes a new method for estimating the monthly Average Population Present (APP) in Australian regions. Conventional population statistics, which enumerate people where they usually live, ignore the significant spatial mobility driving short term shifts in population numbers. Estimates of the temporary or ambient population of a region have several important applications including the provision of goods and services, emergency preparedness and serve as more appropriate denominators for a range of social statistics. This paper develops a flexible modelling framework to generate APP estimates from an integrated suite of conventional and novel data sources. The resultant APP estimates reveal the considerable seasonality in small area populations across Australia’s regions alongside the contribution of domestic and international visitors as well as absent residents to the observed monthly variations. The modelling framework developed in the paper is conceived in a manner such that it can be adapted and re-deployed both for use with alternative data sources as well as other situational contexts for the estimation of temporary populations.
- Subjects :
- Time Factors
Facebook
Epidemiology
Social Sciences
Geographical Locations
0302 clinical medicine
Sociology
Epidemiological Statistics
Medicine and Health Sciences
Econometrics
0303 health sciences
education.field_of_study
Multidisciplinary
Population statistics
Emergency management
Social Communication
Geography
Social Networks
Research Design
Engineering and Technology
Epidemiological Methods and Statistics
Medicine
Seasons
Network Analysis
Research Article
Computer and Information Sciences
Census
Summer
Science
Oceania
Twitter
Population
Equipment
Research and Analysis Methods
03 medical and health sciences
Spatio-Temporal Analysis
Goods and services
Social statistics
Humans
education
030304 developmental biology
Population Density
Communication Equipment
Estimation
Models, Statistical
Survey Research
business.industry
Australia
Sensor fusion
Communications
Term (time)
People and Places
Earth Sciences
Cell Phones
business
Social Media
030217 neurology & neurosurgery
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 16
- Issue :
- 11
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....7971f87b867b816245679ea1cd143fa0