Planning for sustainable cities by estimating building occupancy with mobile phones

Building retrofits offer enormous potential for energy reduction and must be designed with occupancy in mind. Here, the authors developed a method for estimating building occupancy at urban scale using mobile phone traces and they find that energy saving estimates differ by +1 to −15% for residentia...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Edward Barbour, Carlos Cerezo Davila, Siddharth Gupta, Christoph Reinhart, Jasleen Kaur, Marta C. González
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2019
Materias:
Q
Acceso en línea:https://doaj.org/article/84d804f2362f455c9505f2444c0dd000
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:84d804f2362f455c9505f2444c0dd000
record_format dspace
spelling oai:doaj.org-article:84d804f2362f455c9505f2444c0dd0002021-12-02T17:02:16ZPlanning for sustainable cities by estimating building occupancy with mobile phones10.1038/s41467-019-11685-w2041-1723https://doaj.org/article/84d804f2362f455c9505f2444c0dd0002019-08-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-11685-whttps://doaj.org/toc/2041-1723Building retrofits offer enormous potential for energy reduction and must be designed with occupancy in mind. Here, the authors developed a method for estimating building occupancy at urban scale using mobile phone traces and they find that energy saving estimates differ by +1 to −15% for residential buildings and by −4 to −21% for commercial buildings.Edward BarbourCarlos Cerezo DavilaSiddharth GuptaChristoph ReinhartJasleen KaurMarta C. GonzálezNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-10 (2019)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Edward Barbour
Carlos Cerezo Davila
Siddharth Gupta
Christoph Reinhart
Jasleen Kaur
Marta C. González
Planning for sustainable cities by estimating building occupancy with mobile phones
description Building retrofits offer enormous potential for energy reduction and must be designed with occupancy in mind. Here, the authors developed a method for estimating building occupancy at urban scale using mobile phone traces and they find that energy saving estimates differ by +1 to −15% for residential buildings and by −4 to −21% for commercial buildings.
format article
author Edward Barbour
Carlos Cerezo Davila
Siddharth Gupta
Christoph Reinhart
Jasleen Kaur
Marta C. González
author_facet Edward Barbour
Carlos Cerezo Davila
Siddharth Gupta
Christoph Reinhart
Jasleen Kaur
Marta C. González
author_sort Edward Barbour
title Planning for sustainable cities by estimating building occupancy with mobile phones
title_short Planning for sustainable cities by estimating building occupancy with mobile phones
title_full Planning for sustainable cities by estimating building occupancy with mobile phones
title_fullStr Planning for sustainable cities by estimating building occupancy with mobile phones
title_full_unstemmed Planning for sustainable cities by estimating building occupancy with mobile phones
title_sort planning for sustainable cities by estimating building occupancy with mobile phones
publisher Nature Portfolio
publishDate 2019
url https://doaj.org/article/84d804f2362f455c9505f2444c0dd000
work_keys_str_mv AT edwardbarbour planningforsustainablecitiesbyestimatingbuildingoccupancywithmobilephones
AT carloscerezodavila planningforsustainablecitiesbyestimatingbuildingoccupancywithmobilephones
AT siddharthgupta planningforsustainablecitiesbyestimatingbuildingoccupancywithmobilephones
AT christophreinhart planningforsustainablecitiesbyestimatingbuildingoccupancywithmobilephones
AT jasleenkaur planningforsustainablecitiesbyestimatingbuildingoccupancywithmobilephones
AT martacgonzalez planningforsustainablecitiesbyestimatingbuildingoccupancywithmobilephones
_version_ 1718381916719153152