Measuring the Size and Growth of Cities Using Nighttime Light

This paper uses nighttime luminosity to estimate a globally comparable measure of the size of metropolitan areas around the world for the years 2000 and 2010. We apply recently-proposed methodologies that correct the known problems of available nighttime luminosity data including blurring, instabili...

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Tipo de recurso:
Fecha de publicación:
2020
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/24886
Acceso en línea:
https://doi.org/10.1016/j.jue.2020.103254
https://repository.urosario.edu.co/handle/10336/24886
Palabra clave:
Built Environment and Design
Applied Economics
Urban and Regional Planning
Economics
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id EDOCUR2_3ecd1930c0f884843496dc5b0bb08205
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repository_id_str
spelling b77be5b3-7f5f-4283-9718-e743cf0d8723b287b932-990b-48c6-8722-2b907f4ab189799502236002020-06-11T13:21:44Z2020-06-11T13:21:44Z2020-04This paper uses nighttime luminosity to estimate a globally comparable measure of the size of metropolitan areas around the world for the years 2000 and 2010. We apply recently-proposed methodologies that correct the known problems of available nighttime luminosity data including blurring, instability of lit pixels overtime and the reduced comparability of night light images across satellites and across time. We then develop a protocol that isolates stable nighttime lit pixels that constitute urban footprint. When analyzed together with existing geo-referenced population datasets, our measure of the size of metropolitan areas can be used to compute urbanization rates, urban densities, and study the size distribution of cities. We show these applications and discuss how they compare with other available figures. © 2020 Elsevier Inc.application/pdfhttps://doi.org/10.1016/j.jue.2020.1032541095906800941190https://repository.urosario.edu.co/handle/10336/24886engJournal of Urban Economics103254Journal of Urban EconomicsJournal of Urban Economics, ISSN: 10959068, 00941190, Vol., No. (2020-04); pp. 103254https://scioteca.caf.com/bitstream/123456789/1279/1/measuring-the-size-and-growth-of-cities-using-nighttime-light.pdfAbierto (Texto Completo)http://purl.org/coar/access_right/c_abf2instname:Universidad del Rosarioreponame:Repositorio Institucional EdocURBuilt Environment and DesignApplied EconomicsUrban and Regional PlanningEconomicsMeasuring the Size and Growth of Cities Using Nighttime LightarticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Ch, RafaelMartin, Diego A.Vargas Duque, Juan Fernando10336/24886oai:repository.urosario.edu.co:10336/248862021-11-05 16:01:48.118https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co
dc.title.spa.fl_str_mv Measuring the Size and Growth of Cities Using Nighttime Light
title Measuring the Size and Growth of Cities Using Nighttime Light
spellingShingle Measuring the Size and Growth of Cities Using Nighttime Light
Built Environment and Design
Applied Economics
Urban and Regional Planning
Economics
title_short Measuring the Size and Growth of Cities Using Nighttime Light
title_full Measuring the Size and Growth of Cities Using Nighttime Light
title_fullStr Measuring the Size and Growth of Cities Using Nighttime Light
title_full_unstemmed Measuring the Size and Growth of Cities Using Nighttime Light
title_sort Measuring the Size and Growth of Cities Using Nighttime Light
dc.subject.keyword.spa.fl_str_mv Built Environment and Design
Applied Economics
Urban and Regional Planning
Economics
topic Built Environment and Design
Applied Economics
Urban and Regional Planning
Economics
description This paper uses nighttime luminosity to estimate a globally comparable measure of the size of metropolitan areas around the world for the years 2000 and 2010. We apply recently-proposed methodologies that correct the known problems of available nighttime luminosity data including blurring, instability of lit pixels overtime and the reduced comparability of night light images across satellites and across time. We then develop a protocol that isolates stable nighttime lit pixels that constitute urban footprint. When analyzed together with existing geo-referenced population datasets, our measure of the size of metropolitan areas can be used to compute urbanization rates, urban densities, and study the size distribution of cities. We show these applications and discuss how they compare with other available figures. © 2020 Elsevier Inc.
publishDate 2020
dc.date.accessioned.none.fl_str_mv 2020-06-11T13:21:44Z
dc.date.available.none.fl_str_mv 2020-06-11T13:21:44Z
dc.date.created.spa.fl_str_mv 2020-04
dc.type.eng.fl_str_mv article
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.spa.spa.fl_str_mv Artículo
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1016/j.jue.2020.103254
dc.identifier.issn.none.fl_str_mv 10959068
00941190
dc.identifier.uri.none.fl_str_mv https://repository.urosario.edu.co/handle/10336/24886
url https://doi.org/10.1016/j.jue.2020.103254
https://repository.urosario.edu.co/handle/10336/24886
identifier_str_mv 10959068
00941190
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.citationStartPage.none.fl_str_mv 103254
dc.relation.citationTitle.none.fl_str_mv Journal of Urban Economics
dc.relation.ispartof.spa.fl_str_mv Journal of Urban Economics, ISSN: 10959068, 00941190, Vol., No. (2020-04); pp. 103254
dc.relation.uri.spa.fl_str_mv https://scioteca.caf.com/bitstream/123456789/1279/1/measuring-the-size-and-growth-of-cities-using-nighttime-light.pdf
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.acceso.spa.fl_str_mv Abierto (Texto Completo)
rights_invalid_str_mv Abierto (Texto Completo)
http://purl.org/coar/access_right/c_abf2
dc.format.mimetype.none.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Journal of Urban Economics
institution Universidad del Rosario
dc.source.instname.spa.fl_str_mv instname:Universidad del Rosario
dc.source.reponame.spa.fl_str_mv reponame:Repositorio Institucional EdocUR
repository.name.fl_str_mv Repositorio institucional EdocUR
repository.mail.fl_str_mv edocur@urosario.edu.co
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