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RiSC: Quantifying change after natural disasters to estimate infrastructure damage with mobile phone data

16 references·7 citing·52 second hopsampled

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References

2009Coordination in humanitarian relief chains: Practices, challenges and opportunities946 cited
2014Survey research methods792 cited
2010Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system446 cited
2013Understanding urban human activity and mobility patterns using large-scale location-based data from online social media315 cited
2015Analysis of human mobility patterns from GPS trajectories and contextual information275 cited
2010Does Urban Mobility Have a Daily Routine? Learning from the Aggregate Data of Mobile Networks266 cited
2013Using GPS Technology to Quantify Human Mobility, Dynamic Contacts and Infectious Disease Dynamics in a Resource-Poor Urban Environment246 cited
2018Human mobility and socioeconomic status: Analysis of Singapore and Boston237 cited
2010Resource capability for local government in managing disaster225 cited
2016Rapid and near Real-time Assessments of Population Displacement Using Mobile Phone Data Following Disasters: The 2015 Nepal Earthquake179 cited
2015Tracking Human Mobility Using WiFi Signals141 cited
2015Using big data to study the link between human mobility and socio-economic development116 cited
2015Measures of Human Mobility Using Mobile Phone Records Enhanced with GIS Data112 cited
2014

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Inferring human mobility using communication patterns

93 cited

2014Poverty on the cheap82 cited

2016Prediction and Simulation of Human Mobility Following Natural Disasters66 cited

Cited by

2023Exploring the Landscape of Data Analysis: A Review of Its Application and Impact in Ecuador21 cited
2023Using mobile phone data to map evacuation and displacement: a case study of the central Italy earthquake8 cited
2019Mining top-up transactions and online classified ads to predict urban neighborhoods socioeconomic status6 cited
2023ViWise: Fusing Visual and Wireless Sensing Data for Trajectory Relationship Recognition5 cited
2025Using mobile phone data for quantifying large-scale household-level disaster recovery3 cited
2023The Impact of COVID-19 on Relative Changes in Aggregated Mobility Using Mobile-phone Data3 cited
2021Estimating urban socioeconomic inequalities through airtime top-up transactions data3 cited