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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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Worldwide Delineation of Multi-Tier City-Regions

Authors: Girgin, Serkan; Cattaneo, Andrea; de By, Rolf A.; McMenomy, Theresa; Nelson, Andy; Vaz, Sara;

Worldwide Delineation of Multi-Tier City-Regions

Abstract

Urban centres are pivotal in shaping societies, yet a systematic global analysis of how countries are organized around multiple urban centres is lacking. We enhance understanding by delineating city-regions worldwide, classifying over 30,000 urban centres into four tiers-town, small, intermediate, and large city-based on population size and mapping their catchment areas based on travel time, differentiating between primary and secondary city-regions. Employing a 3-hour travel time cutoff, we identify 1,403 primary city-regions, increasing to 4,210 with a 1-hour cutoff, more indicative of commuting times. Our findings reveal significant interconnectedness among urban centres and with their surrounding areas, with 3.2 billion people having physical access to multiple tiers within an hour, and 4.7 billion within three hours. Notably, among people living in or closest to towns or small cities, twice as many have easier access to intermediate than to large cities, underscoring intermediate cities' crucial role in connecting surrounding populations. This systematic identification of city-regions globally, uncovers diverse organisational patterns across urban tiers, influenced by geography, level of development and infrastructure, offering a valuable spatial dataset for regional planning, economic development, and resource management.

City-region CSV files are added.

Country
Netherlands
Keywords

Urban studies, Geographic information systems

  • BIP!
    Impact byBIP!
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    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities