RT info:eu-repo/semantics/conferenceObject
T1 Urban population dynamics during the COVID- 19 pandemic based on mobile phone data
A1 Romanillos Arroyo, Gustavo
A1 García Palomares, Juan Carlos
A1 Moya-Gómez, Borja
A1 Gutiérrez Puebla, Javier
A1 Torres, Javier
A1 López, Mario
A1 García Cantú Ros, Oliva
A1 Herranz, Ricardo
K1 COVID-19
K1 Ingeniería civil
K1 Civil engineering
K1 Transporte
K1 Transportation
AB Because of the fast expansion of the COVID-19 pandemic in 2020, many countriesestablished lockdowns, implementing different restrictions on people’s mobility. Analysingthe effectiveness of these measures is crucial to better react to similar future scenarios. Thisresearch uses anonymous mobile phone data to study the impact of the Spanish lockdownon the daily dynamics of the Madrid metropolitan area. The analysis is focused on areference week prior to the lockdown and on several weeks of the lockdown in whichdifferent restrictions were in place. For this timeframe, population distribution is comparedduring the day and at night and presence profiles are obtained throughout the day for eachtype of land use. In addition, a multiple regression analysis is carried out to determine theimpact 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 aspecific 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 nolonger show a decrease. Only basic essential commercial activities, or others that require thepresence of workers maintain some activity during lockdown.
PB Universidad de Burgos. Servicio de Publicaciones e Imagen Institucional
SN 978-84-18465-12-3
YR 2021
FD 2021-07
LK http://hdl.handle.net/10259/6864
UL http://hdl.handle.net/10259/6864
LA eng
NO 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
NO 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.”
DS Repositorio Institucional de la Universidad de Burgos
RD 25-abr-2024