Memory-endowed US cities and their demographic interactions

Autores
Hernando, A.; Hernando, R.; Plastino, Ángel Luis; Zambrano, E.
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
A quantitative understanding of cities' demographic dynamics is becoming a potentially useful tool for planning sustainable growth. The concomitant theory should reveal details of the cities' past and also of its interaction with nearby urban conglomerates for providing a reasonably complete picture. Using the exhaustive database of the Census Bureau in a time window of 170 years, we exhibit here empirical evidence for time and space correlations in the demographic dynamics of US counties, with a characteristic memory time of 25 years and typical distances of interaction of 200 km. These correlations are much larger than those observed in a European country (Spain), indicating more coherent evolution in US cities. We also measure the resilience of US cities to historical events, finding a demographical post-traumatic amnesia after wars (such as the American Civil War) or economic crisis (such as the 1929 Stock Market Crash).
Fil: Hernando, A.. Ecole Polytechnique Federale de Lausanne; Suiza
Fil: Hernando, R.. Social Thermodynamics Applied Research; España
Fil: Plastino, Ángel Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física La Plata. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física La Plata; Argentina
Fil: Zambrano, E.. Ecole Polytechnique Federale de Lausanne; Suiza
Materia
Urban Growth
Social
Dynamics
Space-Time
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/34044
Acceder
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network_acronym_str CONICETDig
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network_name_str CONICET Digital (CONICET)
spelling Memory-endowed US cities and their demographic interactionsHernando, A.Hernando, R.Plastino, Ángel LuisZambrano, E.Urban GrowthSocialDynamicsSpace-Timehttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1A quantitative understanding of cities' demographic dynamics is becoming a potentially useful tool for planning sustainable growth. The concomitant theory should reveal details of the cities' past and also of its interaction with nearby urban conglomerates for providing a reasonably complete picture. Using the exhaustive database of the Census Bureau in a time window of 170 years, we exhibit here empirical evidence for time and space correlations in the demographic dynamics of US counties, with a characteristic memory time of 25 years and typical distances of interaction of 200 km. These correlations are much larger than those observed in a European country (Spain), indicating more coherent evolution in US cities. We also measure the resilience of US cities to historical events, finding a demographical post-traumatic amnesia after wars (such as the American Civil War) or economic crisis (such as the 1929 Stock Market Crash).Fil: Hernando, A.. Ecole Polytechnique Federale de Lausanne; SuizaFil: Hernando, R.. Social Thermodynamics Applied Research; EspañaFil: Plastino, Ángel Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física La Plata. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física La Plata; ArgentinaFil: Zambrano, E.. Ecole Polytechnique Federale de Lausanne; SuizaThe Royal Society2015-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/34044Hernando, A.; Hernando, R.; Plastino, Ángel Luis; Zambrano, E.; Memory-endowed US cities and their demographic interactions; The Royal Society; Journal of the Royal Society Interface; 12; 102; 1-2015; 1-6; 201411851742-5689CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1098/rsif.2014.1185info:eu-repo/semantics/altIdentifier/url/http://rsif.royalsocietypublishing.org/content/12/102/20141185info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:23:54Zoai:ri.conicet.gov.ar:11336/34044instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:23:54.955CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Memory-endowed US cities and their demographic interactions
title Memory-endowed US cities and their demographic interactions
spellingShingle Memory-endowed US cities and their demographic interactions
Hernando, A.
Urban Growth
Social
Dynamics
Space-Time
title_short Memory-endowed US cities and their demographic interactions
title_full Memory-endowed US cities and their demographic interactions
title_fullStr Memory-endowed US cities and their demographic interactions
title_full_unstemmed Memory-endowed US cities and their demographic interactions
title_sort Memory-endowed US cities and their demographic interactions
dc.creator.none.fl_str_mv Hernando, A.
Hernando, R.
Plastino, Ángel Luis
Zambrano, E.
author Hernando, A.
author_facet Hernando, A.
Hernando, R.
Plastino, Ángel Luis
Zambrano, E.
author_role author
author2 Hernando, R.
Plastino, Ángel Luis
Zambrano, E.
author2_role author
author
author
dc.subject.none.fl_str_mv Urban Growth
Social
Dynamics
Space-Time
topic Urban Growth
Social
Dynamics
Space-Time
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv A quantitative understanding of cities' demographic dynamics is becoming a potentially useful tool for planning sustainable growth. The concomitant theory should reveal details of the cities' past and also of its interaction with nearby urban conglomerates for providing a reasonably complete picture. Using the exhaustive database of the Census Bureau in a time window of 170 years, we exhibit here empirical evidence for time and space correlations in the demographic dynamics of US counties, with a characteristic memory time of 25 years and typical distances of interaction of 200 km. These correlations are much larger than those observed in a European country (Spain), indicating more coherent evolution in US cities. We also measure the resilience of US cities to historical events, finding a demographical post-traumatic amnesia after wars (such as the American Civil War) or economic crisis (such as the 1929 Stock Market Crash).
Fil: Hernando, A.. Ecole Polytechnique Federale de Lausanne; Suiza
Fil: Hernando, R.. Social Thermodynamics Applied Research; España
Fil: Plastino, Ángel Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física La Plata. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física La Plata; Argentina
Fil: Zambrano, E.. Ecole Polytechnique Federale de Lausanne; Suiza
description A quantitative understanding of cities' demographic dynamics is becoming a potentially useful tool for planning sustainable growth. The concomitant theory should reveal details of the cities' past and also of its interaction with nearby urban conglomerates for providing a reasonably complete picture. Using the exhaustive database of the Census Bureau in a time window of 170 years, we exhibit here empirical evidence for time and space correlations in the demographic dynamics of US counties, with a characteristic memory time of 25 years and typical distances of interaction of 200 km. These correlations are much larger than those observed in a European country (Spain), indicating more coherent evolution in US cities. We also measure the resilience of US cities to historical events, finding a demographical post-traumatic amnesia after wars (such as the American Civil War) or economic crisis (such as the 1929 Stock Market Crash).
publishDate 2015
dc.date.none.fl_str_mv 2015-01
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/34044
Hernando, A.; Hernando, R.; Plastino, Ángel Luis; Zambrano, E.; Memory-endowed US cities and their demographic interactions; The Royal Society; Journal of the Royal Society Interface; 12; 102; 1-2015; 1-6; 20141185
1742-5689
CONICET Digital
CONICET
url http://hdl.handle.net/11336/34044
identifier_str_mv Hernando, A.; Hernando, R.; Plastino, Ángel Luis; Zambrano, E.; Memory-endowed US cities and their demographic interactions; The Royal Society; Journal of the Royal Society Interface; 12; 102; 1-2015; 1-6; 20141185
1742-5689
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1098/rsif.2014.1185
info:eu-repo/semantics/altIdentifier/url/http://rsif.royalsocietypublishing.org/content/12/102/20141185
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv The Royal Society
publisher.none.fl_str_mv The Royal Society
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 12.982451

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