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Detecting Destroyed Communities in Remote Areas with Personal Electronic Device Data: A Case Study of the 2017 Puebla Earthquake
14 references·0 citing·49 second hopsampled
Detecting Destroyed Communities in Remote Areas with Personal Electronic Device Data: A Case Study of the 2017 Puebla Earthquake (2020)Detecting Destroyed Communities in Remote…Integration of smart watch and Geographic Information System (GIS) to identify post-earthquake critical rescue area part. I. Development of the system (2020)Integration of smart watch an…Impact of extreme weather events on urban human flow: A perspective from location-based service data (2020)Impact of extreme weather eve…A method to estimate population densities and electricity consumption from mobile phone data in developing countries (2020)A method to estimate populati…Exploring the use of mobile phone data for national migration statistics (2019)Exploring the use of mobile p…RiSC: Quantifying change after natural disasters to estimate infrastructure damage with mobile phone data (2018)RiSC: Quantifying change afte…Population mobility reductions associated with travel restrictions during the Ebola epidemic in Sierra Leone: use of mobile phone data (2018)Population mobility reduction…Identifying seasonal mobility profiles from anonymized and aggregated mobile phone data. Application in food security (2018)Identifying seasonal mobility…Big Data in Natural Disaster Management: A Review (2018)Big Data in Natural Disaster …Social Media in Disaster Communication (2017)Social Media in Disaster Comm…Rapid and near Real-time Assessments of Population Displacement Using Mobile Phone Data Following Disasters: The 2015 Nepal Earthquake (2016)Rapid and near Real-time Asse…Questioning Big Data: Crowdsourcing crisis data towards an inclusive humanitarian response (2016)Questioning Big Data: Crowdso…Large-Scale Auto-GPS Analysis for Discerning Behavior Change during Crisis (2013)Large-Scale Auto-GPS Analysis…Estimation of earthquake casualties using high-resolution remote sensing: a case study of Dujiangyan city in the May 2008 Wenchuan earthquake (2013)Estimation of earthquake casu…Improved Response to Disasters and Outbreaks by Tracking Population Movements with Mobile Phone Network Data: A Post-Earthquake Geospatial Study in Haiti (2011)Improved Response to Disaster…Measuring the information society (1989)Understanding individual human mobility patterns (2008)Volunteered Geographic Information and Crowdsourcing Disaster Relief: A Case Study of the Haitian Earthquake (2010)Big Data for Development: A Review of Promises and Challenges (2015)Social physics (2022)Factors determining human casualty levels in earthquakes: Mortality prediction in building collapse. (1992)Estimation of the Expected Number of Casualties Caused by Strong Earthquakes (2002)Estimating shaking-induced casualties and building damage for global earthquake events: a proposed modelling approach (2012)An improved hierarchical fuzzy TOPSIS approach to identify endangered earthquake-induced buildings (2018)Modeling the fine-scale spatiotemporal pattern of earthquake casualties in cities: Application to Haidian District, Beijing (2018)Remote Sensing-Based Proxies for Urban Disaster Risk Management and Resilience: A Review (2018)Collective Response of Human Populations to Large-Scale Emergencies (2011)Big Sensor Data Applications in Urban Environments (2016)Cross-comparative analysis of evacuation behavior after earthquakes using mobile phone data (2019)Estimating wildfire evacuation decision and departure timing using large-scale GPS data (2022)Dynamic population mapping using mobile phone data (2014)Applications of artificial intelligence for disaster management (2020)Development as Freedom (1999)Development as Freedom (2009)Users of the world, unite! The challenges and opportunities of Social Media (2009)Ethical Implications and Accountability of Algorithms (2018)Artificial Intelligence, Responsibility Attribution, and a Relational Justification of Explainability (2019)Four Responsibility Gaps with Artificial Intelligence: Why they Matter and How to Address them (2021)Disasters by Design (1999)Disasters by Design: A Reassessment of Natural Hazards in the United States (1999)Citizens as sensors: the world of volunteered geography (2007)Can volunteer crowdsourcing reduce disaster risk? A systematic review of the literature (2019)Mitigating information overload in social media during conflicts and crises: design and evaluation of a cross-platform alerting system (2019)Resilience against crises: COVID-19 and lessons from natural disasters (2020)The Death Toll from Natural Disasters: The Role of Income, Geography, and Institutions (2005)Crowdsourcing geographic information for disaster response: a research frontier (2010)At Risk (2014)Disaster City Digital Twin: A vision for integrating artificial and human intelligence for disaster management (2019)Multi-hazard disaster studies: Monitoring, detection, recovery, and management, based on emerging technologies and optimal techniques (2020)Machine Learning in Disaster Management: Recent Developments in Methods and Applications (2022)Automatic Time Series Forecasting: The forecast Package for R (2008)Applied Spatial Data Analysis with R (2013)Evaluating the effect of demographic factors, socioeconomic factors, and risk aversion on mobility during the COVID-19 epidemic in France under lockdown: a population-based study (2020)Exploring the impacts of COVID-19 on travel behavior and mode preferences (2020)Mobile phone location data for disasters: A review from natural hazards and epidemics (2022)The P 1 P 2 D Hypothesis: On the Intercity Movement of Persons (1946)A Computer Movie Simulating Urban Growth in the Detroit Region (1970)Understanding post-disaster population recovery patterns (2020)Rural-urban migration in developing countries: Lessons from the literature (2021)The Analysis of Spatial Association by Use of Distance Statistics (1992)Local Indicators of Spatial Association—LISA (1995)Environmental correlates of dock-less shared bicycle trip origins and destinations (2021)Investigating nonlinear and spatially heterogeneous impacts of the built environment on urban vitality (2025)Non-linear built environment effects on travel behavior resilience under extreme weather events (2025)
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References

  • 2011Improved Response to Disasters and Outbreaks by Tracking Population Movements with Mobile Phone Network Data: A Post-Earthquake Geospatial Study in Haiti652 cited
  • 2018Big Data in Natural Disaster Management: A Review454 cited
  • 2017Social Media in Disaster Communication249 cited
  • 2016Rapid and near Real-time Assessments of Population Displacement Using Mobile Phone Data Following Disasters: The 2015 Nepal Earthquake181 cited
  • 2016Questioning Big Data: Crowdsourcing crisis data towards an inclusive humanitarian response158 cited
  • 2018Population mobility reductions associated with travel restrictions during the Ebola epidemic in Sierra Leone: use of mobile phone data141 cited
  • 2019Exploring the use of mobile phone data for national migration statistics91 cited
  • 2020Impact of extreme weather events on urban human flow: A perspective from location-based service data83 cited
  • 2013Large-Scale Auto-GPS Analysis for Discerning Behavior Change during Crisis38 cited
  • 2013Estimation of earthquake casualties using high-resolution remote sensing: a case study of Dujiangyan city in the May 2008 Wenchuan earthquake32 cited
  • 2018Identifying seasonal mobility profiles from anonymized and aggregated mobile phone data. Application in food security31 cited
  • 2020Integration of smart watch and Geographic Information System (GIS) to identify post-earthquake critical rescue area part. I. Development of the system22 cited
  • 2020A method to estimate population densities and electricity consumption from mobile phone data in developing countries

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20 cited
  • 2018RiSC: Quantifying change after natural disasters to estimate infrastructure damage with mobile phone data15 cited
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