FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2174284503> ?p ?o ?g. }

• W2174284503 endingPage "87" @default.
• W2174284503 startingPage "65" @default.
• W2174284503 abstract "In an increasingly urbanised and ageing world the spatial distribution of an older population is a matter of growing scholarly and policy interest. Much of the research on this topic has tended to draw on one of two key measures: structural ageing, or the ratio of older cohorts to the rest of the population, or numeric ageing, which simply counts the number of older people without reference to the rest of the population. This paper argues that, on their own, these measures have limitations, and that considerable value lies in assessing the interplay between numeric and structural ageing measures. The population ageing matrix, a theoretical framework that classifies the demographic dynamics of population ageing across metropolitan areas, is presented and examined through the case study of Perth, Western Australia. The value of the matrix to reveal patterns and trends missed by analyses of single measures is investigated and areas that are experiencing changes in the composition and size of the ageing demographic are identified. The paper also reflects on the implications of these findings for policy and planning." @default.
• W2174284503 created "2016-06-24" @default.
• W2174284503 creator A5002670993 @default.
• W2174284503 creator A5039927989 @default.
• W2174284503 date "2015-11-22" @default.
• W2174284503 modified "2023-09-25" @default.
• W2174284503 title "Exploring Cities through a Population Ageing Matrix: a spatial and temporal analysis of older adult population trends in Perth, Australia" @default.
• W2174284503 cites W1569139257 @default.
• W2174284503 cites W1729765455 @default.
• W2174284503 cites W1762844597 @default.
• W2174284503 cites W1804942442 @default.
• W2174284503 cites W1969430905 @default.
• W2174284503 cites W1971485068 @default.
• W2174284503 cites W1973049780 @default.
• W2174284503 cites W1973786427 @default.
• W2174284503 cites W1974574522 @default.
• W2174284503 cites W1980319756 @default.
• W2174284503 cites W1986356892 @default.
• W2174284503 cites W1988574998 @default.
• W2174284503 cites W1992828261 @default.
• W2174284503 cites W2003804198 @default.
• W2174284503 cites W2004685136 @default.
• W2174284503 cites W2004910510 @default.
• W2174284503 cites W2009094471 @default.
• W2174284503 cites W2013038749 @default.
• W2174284503 cites W2013089604 @default.
• W2174284503 cites W2027316372 @default.
• W2174284503 cites W2035147384 @default.
• W2174284503 cites W2040090636 @default.
• W2174284503 cites W2045211087 @default.
• W2174284503 cites W2046797532 @default.
• W2174284503 cites W2047970199 @default.
• W2174284503 cites W2051008489 @default.
• W2174284503 cites W2054174831 @default.
• W2174284503 cites W2057603395 @default.
• W2174284503 cites W2060938999 @default.
• W2174284503 cites W2065220235 @default.
• W2174284503 cites W2095126586 @default.
• W2174284503 cites W2105818439 @default.
• W2174284503 cites W2110525209 @default.
• W2174284503 cites W2116311237 @default.
• W2174284503 cites W2128990160 @default.
• W2174284503 cites W2135562620 @default.
• W2174284503 cites W2153822216 @default.
• W2174284503 cites W2155754342 @default.
• W2174284503 cites W2156074741 @default.
• W2174284503 cites W2159628204 @default.
• W2174284503 cites W2163123718 @default.
• W2174284503 cites W2167079041 @default.
• W2174284503 cites W2318316524 @default.
• W2174284503 cites W4205464395 @default.
• W2174284503 cites W4237754085 @default.
• W2174284503 cites W4241773584 @default.
• W2174284503 cites W4246009864 @default.
• W2174284503 cites W4250455468 @default.
• W2174284503 cites W4251470410 @default.
• W2174284503 cites W4252355945 @default.
• W2174284503 doi "https://doi.org/10.1080/00049182.2015.1110087" @default.
• W2174284503 hasPublicationYear "2015" @default.
• W2174284503 type Work @default.
• W2174284503 sameAs 2174284503 @default.
• W2174284503 citedByCount "19" @default.
• W2174284503 countsByYear W21742845032016 @default.
• W2174284503 countsByYear W21742845032017 @default.
• W2174284503 countsByYear W21742845032018 @default.
• W2174284503 countsByYear W21742845032019 @default.
• W2174284503 countsByYear W21742845032020 @default.
• W2174284503 countsByYear W21742845032021 @default.
• W2174284503 countsByYear W21742845032023 @default.
• W2174284503 crossrefType "journal-article" @default.
• W2174284503 hasAuthorship W2174284503A5002670993 @default.
• W2174284503 hasAuthorship W2174284503A5039927989 @default.
• W2174284503 hasConcept C126322002 @default.
• W2174284503 hasConcept C13774568 @default.
• W2174284503 hasConcept C144024400 @default.
• W2174284503 hasConcept C148383697 @default.
• W2174284503 hasConcept C149923435 @default.
• W2174284503 hasConcept C158739034 @default.
• W2174284503 hasConcept C166957645 @default.
• W2174284503 hasConcept C205649164 @default.
• W2174284503 hasConcept C26271046 @default.
• W2174284503 hasConcept C2908647359 @default.
• W2174284503 hasConcept C3019887659 @default.
• W2174284503 hasConcept C500499127 @default.
• W2174284503 hasConcept C71924100 @default.
• W2174284503 hasConcept C74909509 @default.
• W2174284503 hasConceptScore W2174284503C126322002 @default.
• W2174284503 hasConceptScore W2174284503C13774568 @default.
• W2174284503 hasConceptScore W2174284503C144024400 @default.
• W2174284503 hasConceptScore W2174284503C148383697 @default.
• W2174284503 hasConceptScore W2174284503C149923435 @default.
• W2174284503 hasConceptScore W2174284503C158739034 @default.
• W2174284503 hasConceptScore W2174284503C166957645 @default.
• W2174284503 hasConceptScore W2174284503C205649164 @default.
• W2174284503 hasConceptScore W2174284503C26271046 @default.
• W2174284503 hasConceptScore W2174284503C2908647359 @default.
• W2174284503 hasConceptScore W2174284503C3019887659 @default.
• W2174284503 hasConceptScore W2174284503C500499127 @default.

• next