2019
DOI: 10.21307/stattrans-2019-038
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The Impact of the Applied Typology on the Statistical Picture of Population Ageing in Urban Areas in Poland – A Comparative Analysis

Abstract: The aim of the paper is to review and compare the processes of population ageing in Polish urban areas. The study presents a novel approach to the problem, because in addition to measuring this phenomenon according to the National Official Register of the Territorial Division of the Country (TERYT) classification, it also measures population ageing according to the classification for urban areas (LAU 2 units)-Degree of Urbanisation (DEGURBA). Several traditional demographic measures for population ageing were … Show more

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Cited by 2 publications
(2 citation statements)
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“…When investigating the European framework in terms of urbanity, Poelman (2014, 2012) devised the Degree of Urbanization (DEGURBA), namely a classification that indicates the character of an area, which is based on a combination of geographical contiguity (in particular, the Local Administrative Units of level 2 (LAU 2)) and population density (specifically, the population grid square cells of 1 km2). The DEGURBA classification, whose usefulness is mentioned in several studies (Gibas and Majorek, 2020;Pratesi, et al 2020;Klimanek and Filas-Przybył, 2019;Bartzokas-Tsiompras & Photis, 2019), consists of three categories Poelman, 2014, 2012):…”
Section: Selection Of Citiesmentioning
confidence: 99%
“…When investigating the European framework in terms of urbanity, Poelman (2014, 2012) devised the Degree of Urbanization (DEGURBA), namely a classification that indicates the character of an area, which is based on a combination of geographical contiguity (in particular, the Local Administrative Units of level 2 (LAU 2)) and population density (specifically, the population grid square cells of 1 km2). The DEGURBA classification, whose usefulness is mentioned in several studies (Gibas and Majorek, 2020;Pratesi, et al 2020;Klimanek and Filas-Przybył, 2019;Bartzokas-Tsiompras & Photis, 2019), consists of three categories Poelman, 2014, 2012):…”
Section: Selection Of Citiesmentioning
confidence: 99%
“…The second motivation comes from the need to highlight the inadequacies of the urban classifications. Several technical and scientific studies (land use planning and policy making [41,42], social-economic [43], environmental and health [44][45][46], among others) make use of these classifications as an assumption for starting point, and for sample selection, and the authors think that a careful study and a clarification must be made to avoid distortions and misunderstandings.…”
Section: Introductionmentioning
confidence: 99%