Modeling and understanding the impact of COVID-19 containment policies on mobile service consumption in French cities
Abstract Amid recent studies that have been exploring the wide impact that COVID-19 containment policies have had across sectors and industries, we investigate how mobility restrictions enacted in French cities during the later stages of the pandemic have affected the usage of smartphones and mobile...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2024-11-01
|
| Series: | EPJ Data Science |
| Subjects: | |
| Online Access: | https://doi.org/10.1140/epjds/s13688-024-00507-9 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1846172170843062272 |
|---|---|
| author | André Felipe Zanella Stefania Rubrichi Zbigniew Smoreda Marco Fiore |
| author_facet | André Felipe Zanella Stefania Rubrichi Zbigniew Smoreda Marco Fiore |
| author_sort | André Felipe Zanella |
| collection | DOAJ |
| description | Abstract Amid recent studies that have been exploring the wide impact that COVID-19 containment policies have had across sectors and industries, we investigate how mobility restrictions enacted in French cities during the later stages of the pandemic have affected the usage of smartphones and mobile applications. Leveraging a large-scale dataset of over 14 billion records, we unveil and quantify the substantial incidence of the different measures enforced in urban France to combat the COVID-19 epidemic on mobile service consumption. We present a simple but effective spatial linear model that can relate changes occurring at fine-grained spatial zoning in both global and per-service traffic to a limited set of socioeconomic indicators. Our model unveils some of the mechanisms that drove the significant evolution of mobile data traffic demands during the pandemic. It allows observing how the demand for mobile services has been affected by COVID-19 in very different ways across urban areas characterized by diverse population density, income levels and leisure area presence. It also discloses that usages of individual smartphone applications have been impacted in highly heterogeneous ways by the pandemic, even more so when considering the composite impacts of different transitions between periods characterized by diverse restrictions. Our results can aid governments in understanding how their measures were received across the space and different portions of population, and network operators to comprehend changes in usage due to extraordinary events, which can be used to optimize service provisioning. |
| format | Article |
| id | doaj-art-62a08b7fa5c74406b2c4f0a40a100a44 |
| institution | Kabale University |
| issn | 2193-1127 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EPJ Data Science |
| spelling | doaj-art-62a08b7fa5c74406b2c4f0a40a100a442024-11-10T12:12:38ZengSpringerOpenEPJ Data Science2193-11272024-11-0113111610.1140/epjds/s13688-024-00507-9Modeling and understanding the impact of COVID-19 containment policies on mobile service consumption in French citiesAndré Felipe Zanella0Stefania Rubrichi1Zbigniew Smoreda2Marco Fiore3IMDEA Networks InstituteOrange InnovationOrange InnovationIMDEA Networks InstituteAbstract Amid recent studies that have been exploring the wide impact that COVID-19 containment policies have had across sectors and industries, we investigate how mobility restrictions enacted in French cities during the later stages of the pandemic have affected the usage of smartphones and mobile applications. Leveraging a large-scale dataset of over 14 billion records, we unveil and quantify the substantial incidence of the different measures enforced in urban France to combat the COVID-19 epidemic on mobile service consumption. We present a simple but effective spatial linear model that can relate changes occurring at fine-grained spatial zoning in both global and per-service traffic to a limited set of socioeconomic indicators. Our model unveils some of the mechanisms that drove the significant evolution of mobile data traffic demands during the pandemic. It allows observing how the demand for mobile services has been affected by COVID-19 in very different ways across urban areas characterized by diverse population density, income levels and leisure area presence. It also discloses that usages of individual smartphone applications have been impacted in highly heterogeneous ways by the pandemic, even more so when considering the composite impacts of different transitions between periods characterized by diverse restrictions. Our results can aid governments in understanding how their measures were received across the space and different portions of population, and network operators to comprehend changes in usage due to extraordinary events, which can be used to optimize service provisioning.https://doi.org/10.1140/epjds/s13688-024-00507-9COVID-19Mobile network trafficMobile servicesRemote sensing |
| spellingShingle | André Felipe Zanella Stefania Rubrichi Zbigniew Smoreda Marco Fiore Modeling and understanding the impact of COVID-19 containment policies on mobile service consumption in French cities EPJ Data Science COVID-19 Mobile network traffic Mobile services Remote sensing |
| title | Modeling and understanding the impact of COVID-19 containment policies on mobile service consumption in French cities |
| title_full | Modeling and understanding the impact of COVID-19 containment policies on mobile service consumption in French cities |
| title_fullStr | Modeling and understanding the impact of COVID-19 containment policies on mobile service consumption in French cities |
| title_full_unstemmed | Modeling and understanding the impact of COVID-19 containment policies on mobile service consumption in French cities |
| title_short | Modeling and understanding the impact of COVID-19 containment policies on mobile service consumption in French cities |
| title_sort | modeling and understanding the impact of covid 19 containment policies on mobile service consumption in french cities |
| topic | COVID-19 Mobile network traffic Mobile services Remote sensing |
| url | https://doi.org/10.1140/epjds/s13688-024-00507-9 |
| work_keys_str_mv | AT andrefelipezanella modelingandunderstandingtheimpactofcovid19containmentpoliciesonmobileserviceconsumptioninfrenchcities AT stefaniarubrichi modelingandunderstandingtheimpactofcovid19containmentpoliciesonmobileserviceconsumptioninfrenchcities AT zbigniewsmoreda modelingandunderstandingtheimpactofcovid19containmentpoliciesonmobileserviceconsumptioninfrenchcities AT marcofiore modelingandunderstandingtheimpactofcovid19containmentpoliciesonmobileserviceconsumptioninfrenchcities |