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Analysis of Mobility Changes Caused by COVID-19 in a Context of Moderate Restrictions Using Data Collected by Mobile Devices
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Analysis of Mobility Changes Caused by COVID-19 in a Context of Moderate Restrictions Using Data Collected by Mobile Devices (2022)Analysis of Mobility Changes Caused by CO…Comparative Analysis of Geolocation Information through Mobile-Devices under Different COVID-19 Mobility Restriction Patterns in Spain (2021)Comparative Analysis of Geolo…The COVID-19 pandemic calls for spatial distancing and social closeness: not for social distancing! (2020)The COVID-19 pandemic calls f…Country-wide Mobility Changes Observed Using Mobile Phone Data During COVID-19 Pandemic (2020)Country-wide Mobility Changes…Bike Sharing and Urban Mobility in a Post-Pandemic World (2020)Bike Sharing and Urban Mobili…A data visualization interactive exploration of human mobility data during the COVID-19 outbreak: a case study (2020)A data visualization interact…Discovering urban activity patterns in cell phone data (2015)Uncovering the spatial structure of mobility networks (2015)Inferring dynamic origin-destination flows by transport mode using mobile phone data (2019)COVID-19 – A window of opportunity for the transition toward sustainable mobility? (2021)How did human dwelling and working intensity change over different stages of COVID-19 in Beijing? (2021)Systematic literature review on impacts of COVID-19 pandemic and corresponding measures on mobility (2023)The computer for the 21 st century (1999)Understanding individual human mobility patterns (2008)Discovering regions of different functions in a city using human mobility and POIs (2012)Using passive Wi-Fi for community crowd sensing during the COVID-19 pandemic (2023)Making Cycling Irresistible: Lessons from The Netherlands, Denmark and Germany (2008)Bike-sharing: History, Impacts, Models of Provision, and Future (2009)Bikesharing in Europe, the Americas, and Asia (2010)The motivations for using bike sharing during the COVID-19 pandemic: Insights from Lisbon (2021)Bike-Sharing Demand Prediction at Community Level under COVID-19 Using Deep Learning (2022)Sensing Technologies for Crowd Management, Adaptation, and Information Dissemination in Public Transportation Systems: A Review (2022)Dynamic population mapping using mobile phone data (2014)Human mobility: Models and applications (2018)Economic and social consequences of human mobility restrictions under COVID-19 (2020)Crowding on public transport using smart card data during the COVID-19 pandemic: New methodology and case study in Chile (2023)Estimation of mobility and population in Spain during different phases of the COVID-19 pandemic from mobile phone data (2023)Replacing discontinued Big Tech mobility reports: a penetration-based analysis (2023)Employee Well-Being and Digital Work during the COVID-19 Pandemic (2021)Internet Addiction Increases in the General Population During COVID‐19: Evidence From China (2021)Problematic internet-related behaviors mediate the associations between levels of internet engagement and distress among schoolchildren during COVID-19 lockdown: A longitudinal structural equation modeling study (2021)
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References

  • 2020The COVID-19 pandemic calls for spatial distancing and social closeness: not for social distancing!275 cited
  • 2020Country-wide Mobility Changes Observed Using Mobile Phone Data During COVID-19 Pandemic81 cited
  • 2020Bike Sharing and Urban Mobility in a Post-Pandemic World81 cited
  • 2021Comparative Analysis of Geolocation Information through Mobile-Devices under Different COVID-19 Mobility Restriction Patterns in Spain28 cited
  • 2020A data visualization interactive exploration of human mobility data during the COVID-19 outbreak: a case study12 cited

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