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Article: City Size Distribution as a Function of Socioeconomic Conditions: An Eclectic Approach to Downscaling Global Population

TitleCity Size Distribution as a Function of Socioeconomic Conditions: An Eclectic Approach to Downscaling Global Population
Authors
Issue Date2013
Citation
Urban Studies, 2013, v. 50, n. 1, p. 208-225 How to Cite?
AbstractThis study introduces a new method of downscaling global population distribution. Its novelty is that it allows city size distributions to interact with socioeconomic variables. The contribution to the literature is twofold. One is a challenge to the conventional view that the proportionate growth dynamics underlies empirical rank-size regularities. It is shown that the city size distribution of a region can deviate substantially from a log-normal distribution with cross-regional and time variations, and that such variations can be explained by certain socioeconomic conditions that each region confronts at a particular time point. In addition, this study can pave the way for various research projects which need spatial distribution of global population at fine grid cell levels as key input. The model is applicable to the entire globe, including regions for which reliable sub-regional population datasets are limitedly available, and can be extended easily for predictive analysis. © 2012 Urban Studies Journal Limited.
Persistent Identifierhttp://hdl.handle.net/10722/202157
ISSN
2015 Impact Factor: 1.934
2015 SCImago Journal Rankings: 1.567
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorNam, Kyungmin-
dc.contributor.authorReilly, John M.-
dc.date.accessioned2014-08-22T02:57:44Z-
dc.date.available2014-08-22T02:57:44Z-
dc.date.issued2013-
dc.identifier.citationUrban Studies, 2013, v. 50, n. 1, p. 208-225-
dc.identifier.issn0042-0980-
dc.identifier.urihttp://hdl.handle.net/10722/202157-
dc.description.abstractThis study introduces a new method of downscaling global population distribution. Its novelty is that it allows city size distributions to interact with socioeconomic variables. The contribution to the literature is twofold. One is a challenge to the conventional view that the proportionate growth dynamics underlies empirical rank-size regularities. It is shown that the city size distribution of a region can deviate substantially from a log-normal distribution with cross-regional and time variations, and that such variations can be explained by certain socioeconomic conditions that each region confronts at a particular time point. In addition, this study can pave the way for various research projects which need spatial distribution of global population at fine grid cell levels as key input. The model is applicable to the entire globe, including regions for which reliable sub-regional population datasets are limitedly available, and can be extended easily for predictive analysis. © 2012 Urban Studies Journal Limited.-
dc.languageeng-
dc.relation.ispartofUrban Studies-
dc.titleCity Size Distribution as a Function of Socioeconomic Conditions: An Eclectic Approach to Downscaling Global Population-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1177/0042098012448943-
dc.identifier.scopuseid_2-s2.0-84871362511-
dc.identifier.volume50-
dc.identifier.issue1-
dc.identifier.spage208-
dc.identifier.epage225-
dc.identifier.eissn1360-063X-
dc.identifier.isiWOS:000312548000013-

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