Measuring inequality in community resilience to natural disasters using large-scale mobility data

Understanding how cities respond to extreme weather is critical; as such events are becoming more frequent. Using anonymized mobile phone data for Houston, Texas during Hurricane Harvey in 2017, the authors find that mobility behavior exposes neighborhood disparities in resilience capacity and recov...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Boyeong Hong, Bartosz J. Bonczak, Arpit Gupta, Constantine E. Kontokosta
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/0c748cc36da44aeba6bea834324539cc
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:0c748cc36da44aeba6bea834324539cc
record_format	dspace
spelling	oai:doaj.org-article:0c748cc36da44aeba6bea834324539cc2021-12-02T11:44:56ZMeasuring inequality in community resilience to natural disasters using large-scale mobility data10.1038/s41467-021-22160-w2041-1723https://doaj.org/article/0c748cc36da44aeba6bea834324539cc2021-03-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-22160-whttps://doaj.org/toc/2041-1723Understanding how cities respond to extreme weather is critical; as such events are becoming more frequent. Using anonymized mobile phone data for Houston, Texas during Hurricane Harvey in 2017, the authors find that mobility behavior exposes neighborhood disparities in resilience capacity and recovery.Boyeong HongBartosz J. BonczakArpit GuptaConstantine E. KontokostaNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Boyeong Hong Bartosz J. Bonczak Arpit Gupta Constantine E. Kontokosta Measuring inequality in community resilience to natural disasters using large-scale mobility data
description	Understanding how cities respond to extreme weather is critical; as such events are becoming more frequent. Using anonymized mobile phone data for Houston, Texas during Hurricane Harvey in 2017, the authors find that mobility behavior exposes neighborhood disparities in resilience capacity and recovery.
format	article
author	Boyeong Hong Bartosz J. Bonczak Arpit Gupta Constantine E. Kontokosta
author_facet	Boyeong Hong Bartosz J. Bonczak Arpit Gupta Constantine E. Kontokosta
author_sort	Boyeong Hong
title	Measuring inequality in community resilience to natural disasters using large-scale mobility data
title_short	Measuring inequality in community resilience to natural disasters using large-scale mobility data
title_full	Measuring inequality in community resilience to natural disasters using large-scale mobility data
title_fullStr	Measuring inequality in community resilience to natural disasters using large-scale mobility data
title_full_unstemmed	Measuring inequality in community resilience to natural disasters using large-scale mobility data
title_sort	measuring inequality in community resilience to natural disasters using large-scale mobility data
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/0c748cc36da44aeba6bea834324539cc
work_keys_str_mv	AT boyeonghong measuringinequalityincommunityresiliencetonaturaldisastersusinglargescalemobilitydata AT bartoszjbonczak measuringinequalityincommunityresiliencetonaturaldisastersusinglargescalemobilitydata AT arpitgupta measuringinequalityincommunityresiliencetonaturaldisastersusinglargescalemobilitydata AT constantineekontokosta measuringinequalityincommunityresiliencetonaturaldisastersusinglargescalemobilitydata
_version_	1718395264204537856

Measuring inequality in community resilience to natural disasters using large-scale mobility data

Ejemplares similares