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Population and age structure in Hungary: a residential preference and age dependency approach to disaggregate census data

Li, Sen; Juhász-Horváth, Linda; Harrison, Paula A. ORCID: https://orcid.org/0000-0002-9873-3338; Pintér, László; Rounsevell, Mark D.A.. 2016 Population and age structure in Hungary: a residential preference and age dependency approach to disaggregate census data. Journal of Maps, 12 (S1). 560-569. https://doi.org/10.1080/17445647.2016.1237898

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Abstract/Summary

We present a simple model to disaggregate age structured population census data to a 1-km grid for Hungary. A dasymetric approach was used to predict the spatial distribution of population in different age groups by distinguishing residential preferences (in relation to accessible social, economic and green amenities) for working age groups (15–29, 30–49 and 50–64) and population dependencies for children and the elderly (aged 0–14 and 65+). By using open-access land cover data and fine-level population census data as inputs, the model predicts the likely spatial distribution of population and age structure for Hungary in 2011. The resulting map and gridded data provide information to support spatial planning of residential development and urban infrastructure. The model is less data-demanding than most existing approaches, but provides greater power for describing population patterns. It can also be used to create scenarios of future demographic change.

Item Type: Publication - Article
Digital Object Identifier (DOI): https://doi.org/10.1080/17445647.2016.1237898
UKCEH and CEH Sections/Science Areas: Parr
ISSN: 1744-5647
Additional Keywords: age structure, dasymetric mapping, land cover, population distribution, residential preference, population dependency
NORA Subject Terms: Economics
Date made live: 15 Dec 2016 12:37 +0 (UTC)
URI: https://nora.nerc.ac.uk/id/eprint/515510

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