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Analysis of post-disaster population movement by using mobile spatial statistics
16 references·5 citing·51 second hop
Analysis of post-disaster population movement by using mobile spatial statistics (2021)Analysis of post-disaster population move…Understanding post-disaster population recovery patterns (2020)Understanding post-disaster p…The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)The promises of big data and …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…Predictive models for post disaster shelter needs assessment (2016)Predictive models for post di…Patterns and Limitations of Urban Human Mobility Resilience under the Influence of Multiple Types of Natural Disaster (2016)Patterns and Limitations of U…Big data has big potential for applications to climate change adaptation (2016)Big data has big potential fo…Research challenges and opportunities in mapping social media and Big Data (2015)Research challenges and oppor…Mental health implications for older adults after natural disasters – a systematic review and meta-analysis (2015)Mental health implications fo…Quantifying Human Mobility Perturbation and Resilience in Hurricane Sandy (2014)Quantifying Human Mobility Pe…Understanding individual mobility patterns from urban sensing data: A mobile phone trace example (2012)Understanding individual mobi…Towards Estimating Urban Population Distributions from Mobile Call Data (2012)Towards Estimating Urban Popu…Predictability of population displacement after the 2010 Haiti earthquake (2012)Predictability of population …Mapping social vulnerability to enhance housing and neighborhood resilience (2012)Mapping social vulnerability …Understanding individual human mobility patterns (2008)Understanding individual huma…Race, class, and Hurricane Katrina: Social differences in human responses to disaster (2006)Race, class, and Hurricane Ka…Gender and Evacuation: A Closer Look at Why Women Are More Likely to Evacuate for Hurricanes (2002)Gender and Evacuation: A Clos…Mapping urban mobility during extreme weather events using mobile spatial statistics data (2025)Mapping urban mobility during…Using mobile phone data to map evacuation and displacement: a case study of the central Italy earthquake (2023)Using mobile phone data to ma…Mobile positioning-based population statistics in crisis management: An Estonian case study (2023)Mobile positioning-based popu…Analyzing demand reduction and recovery of major rail stations in Japan during COVID-19 using mobile spatial statistics (2023)Analyzing demand reduction an…Analysis of the impact of non-compulsory measures on human mobility in Japan during the COVID-19 pandemic (2022)Analysis of the impact of non…Power-Law Distributions in Empirical Data (2009)A survey of results on mobile phone datasets analysis (2015)Power-law distributions in empirical data (2018)Social physics (2022)The origin of bursts and heavy tails in human dynamics (2005)The scaling laws of human travel (2006)Limits of Predictability in Human Mobility (2010)Friendship and mobility (2011)A universal model for mobility and migration patterns (2012)American Apartheid: Segregation and the Making of the Underclass. 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References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 2006Race, class, and Hurricane Katrina: Social differences in human responses to disaster847 cited
  • 2012Understanding individual mobility patterns from urban sensing data: A mobile phone trace example645 cited
  • 2012Predictability of population displacement after the 2010 Haiti earthquake633 cited
  • 2016The promises of big data and small data for travel behavior (aka human mobility) analysis580 cited
  • 2002Gender and Evacuation: A Closer Look at Why Women Are More Likely to Evacuate for Hurricanes317 cited
  • 2012Mapping social vulnerability to enhance housing and neighborhood resilience259 cited
  • 2016Patterns and Limitations of Urban Human Mobility Resilience under the Influence of Multiple Types of Natural Disaster195 cited
  • 2015Mental health implications for older adults after natural disasters – a systematic review and meta-analysis194 cited
  • 2016Rapid and near Real-time Assessments of Population Displacement Using Mobile Phone Data Following Disasters: The 2015 Nepal Earthquake179 cited
  • 2015Research challenges and opportunities in mapping social media and Big Data168 cited
  • 2014Quantifying Human Mobility Perturbation and Resilience in Hurricane Sandy162 cited
  • 2020Understanding post-disaster population recovery patterns120 cited
  • 2016

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Big data has big potential for applications to climate change adaptation
117 cited
  • 2012Towards Estimating Urban Population Distributions from Mobile Call Data110 cited
  • 2016Predictive models for post disaster shelter needs assessment63 cited
  • Cited by

    • 2022Analysis of the impact of non-compulsory measures on human mobility in Japan during the COVID-19 pandemic17 cited
    • 2023Mobile positioning-based population statistics in crisis management: An Estonian case study9 cited
    • 2023Analyzing demand reduction and recovery of major rail stations in Japan during COVID-19 using mobile spatial statistics9 cited
    • 2023Using mobile phone data to map evacuation and displacement: a case study of the central Italy earthquake8 cited
    • 2025Mapping urban mobility during extreme weather events using mobile spatial statistics data3 cited