Classifying small (TL3) regions based on metropolitan population, low density and remoteness:
This paper provides a method to classify TL3regions across OECD countries based on their level of access to metropolitan areas. TL3 regions are classified as 'metropolitan' if more than half of their population lives in one or more functional urban area (FUA) of at least 250 thousand inhab...
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Paris
OECD Publishing
2019
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Schriftenreihe: | OECD Regional Development Working Papers
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Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | This paper provides a method to classify TL3regions across OECD countries based on their level of access to metropolitan areas. TL3 regions are classified as 'metropolitan' if more than half of their population lives in one or more functional urban area (FUA) of at least 250 thousand inhabitants and as 'non-metropolitan' otherwise. The method sub-classifies metropolitan regions into 'large metro' or 'metro' regions based on the population size of the FUAs located within those regions. Non-metropolitan TL3 regions are sub-classified into: with accessto a metro, with access to a small/medium city, or remote based on their level of access to a FUA with population above a predetermined threshold. The method relies on publicly available grid-level population data and localised information on driving conditions |
Beschreibung: | 1 Online-Ressource (28 Seiten) |
DOI: | 10.1787/b902cc00-en |
Internformat
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spelling | Fadic, Milenko Verfasser aut Classifying small (TL3) regions based on metropolitan population, low density and remoteness Milenko Fadic ... [et al] Paris OECD Publishing 2019 1 Online-Ressource (28 Seiten) txt rdacontent c rdamedia cr rdacarrier OECD Regional Development Working Papers This paper provides a method to classify TL3regions across OECD countries based on their level of access to metropolitan areas. TL3 regions are classified as 'metropolitan' if more than half of their population lives in one or more functional urban area (FUA) of at least 250 thousand inhabitants and as 'non-metropolitan' otherwise. The method sub-classifies metropolitan regions into 'large metro' or 'metro' regions based on the population size of the FUAs located within those regions. Non-metropolitan TL3 regions are sub-classified into: with accessto a metro, with access to a small/medium city, or remote based on their level of access to a FUA with population above a predetermined threshold. The method relies on publicly available grid-level population data and localised information on driving conditions Urban, Rural and Regional Development Garcilazo, José Enrique ctb Moreno Monroy, Ana ctb Veneri, Paolo ctb https://doi.org/10.1787/b902cc00-en Verlag kostenfrei Volltext |
spellingShingle | Fadic, Milenko Classifying small (TL3) regions based on metropolitan population, low density and remoteness Urban, Rural and Regional Development |
title | Classifying small (TL3) regions based on metropolitan population, low density and remoteness |
title_auth | Classifying small (TL3) regions based on metropolitan population, low density and remoteness |
title_exact_search | Classifying small (TL3) regions based on metropolitan population, low density and remoteness |
title_exact_search_txtP | Classifying small (TL3) regions based on metropolitan population, low density and remoteness |
title_full | Classifying small (TL3) regions based on metropolitan population, low density and remoteness Milenko Fadic ... [et al] |
title_fullStr | Classifying small (TL3) regions based on metropolitan population, low density and remoteness Milenko Fadic ... [et al] |
title_full_unstemmed | Classifying small (TL3) regions based on metropolitan population, low density and remoteness Milenko Fadic ... [et al] |
title_short | Classifying small (TL3) regions based on metropolitan population, low density and remoteness |
title_sort | classifying small tl3 regions based on metropolitan population low density and remoteness |
topic | Urban, Rural and Regional Development |
topic_facet | Urban, Rural and Regional Development |
url | https://doi.org/10.1787/b902cc00-en |
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