2026-07-30T22:18:26Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/68642024-05-20T09:51:34Zcom_10259.4_104com_10259_2604col_10259_6848
Romanillos Arroyo, Gustavo
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600
García Palomares, Juan Carlos
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600
Moya-Gómez, Borja
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600
Gutiérrez Puebla, Javier
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600
Torres, Javier
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López, Mario
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García Cantú Ros, Oliva
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Herranz, Ricardo
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2022-09-15T11:25:56Z
2022-09-15T11:25:56Z
2021-07
978-84-18465-12-3
http://hdl.handle.net/10259/6864
10.36443/10259/6864
Trabajo presentado en: R-Evolucionando el transporte, XIV Congreso de Ingeniería del Transporte (CIT 2021), realizado en modalidad online los días 6, 7 y 8 de julio de 2021, organizado por la Universidad de Burgos
Because of the fast expansion of the COVID-19 pandemic in 2020, many countries
established lockdowns, implementing different restrictions on people’s mobility. Analysing
the effectiveness of these measures is crucial to better react to similar future scenarios. This
research uses anonymous mobile phone data to study the impact of the Spanish lockdown
on the daily dynamics of the Madrid metropolitan area. The analysis is focused on a
reference week prior to the lockdown and on several weeks of the lockdown in which
different restrictions were in place. For this timeframe, population distribution is compared
during the day and at night and presence profiles are obtained throughout the day for each
type of land use. In addition, a multiple regression analysis is carried out to determine the
impact of the different land uses on the local population. The results in the reference week,
pre-COVID-19, show how the population in activity areas increases in each time slot on a
specific day and how in residential areas it decreases. However, during the lockdown,
activity areas cease to attract population during the day and the residential areas therefore no
longer show a decrease. Only basic essential commercial activities, or others that require the
presence of workers maintain some activity during lockdown.
This research was financed by the Spanish The Ministry of Science, Innovation and Universities through the project “DynMobility - Análisis dinámico de los patrones de movilidad a partir del Big Data” (code RTI2018-098402-B-I00), and also supported by the Madrid Region authority through the Research Network “INNJOBMAD-CM - Atracción de actividades económicas innovadoras y creadoras de trabajo en Madrid.”
application/pdf
eng
Universidad de Burgos. Servicio de Publicaciones e Imagen Institucional
R-Evolucionando el transporte
http://hdl.handle.net/10259/6490
https://doi.org/10.36443/9788418465123
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-098402-B-I00/ES/ANALISIS DINAMICO DE LOS PATRONES DE MOVILIDAD A PARTIR DE BIG DATA
COVID-19
Ingeniería civil
Transportes
Civil engineering
Transportation
Urban population dynamics during the COVID- 19 pandemic based on mobile phone data
info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/openAccess
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Romanillos_CIT2021_279-293.pdf
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10259/6864
oai:riubu.ubu.es:10259/6864
2024-05-20 11:51:34.978
Repositorio Institucional de la Universidad de Burgos
bubrep@ubu.es
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