Unveiling hidden migration and mobility patterns in climate stressed regions: A longitudinal study of six million anonymous mobile phone users in Bangladesh

Lu, Xin, Wrathall, David, Sundsøy, Pål, R., Nadiruzzaman, Md, Wetter, Erik, Iqbal , Asif, Qureshi, Taimur, Tatem, Andrew, Canright, Geoffrey, Engø-Monsen, Kenth and Bengtsson, Linus, (2016). Unveiling hidden migration and mobility patterns in climate stressed regions: A longitudinal study of six million anonymous mobile phone users in Bangladesh. Global Environmental Change, 38 1-7

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  • Sub-type Journal article
    Author Lu, Xin
    Wrathall, David
    Sundsøy, Pål, R.
    Nadiruzzaman, Md
    Wetter, Erik
    Iqbal , Asif
    Qureshi, Taimur
    Tatem, Andrew
    Canright, Geoffrey
    Engø-Monsen, Kenth
    Bengtsson, Linus
    Title Unveiling hidden migration and mobility patterns in climate stressed regions: A longitudinal study of six million anonymous mobile phone users in Bangladesh
    Appearing in Global Environmental Change
    Volume 38
    Publication Date 2016-05
    Place of Publication Oxford
    Publisher Elsevier
    Start page 1
    End page 7
    Language eng
    Abstract Climate change is likely to drive migration from environmentally stressed areas. However quantifying short and long-term movements across large areas is challenging due to difficulties in the collection of highly spatially and temporally resolved human mobility data. In this study we use two datasets of individual mobility trajectories from six million de-identified mobile phone users in Bangladesh over three months and two years respectively. Using data collected during Cyclone Mahasen, which struck Bangladesh in May 2013, we show first how analyses based on mobile network data can describe important short-term features (hours–weeks) of human mobility during and after extreme weather events, which are extremely hard to quantify using standard survey based research. We then demonstrate how mobile data for the first time allow us to study the relationship between fundamental parameters of migration patterns on a national scale. We concurrently quantify incidence, direction, duration and seasonality of migration episodes in Bangladesh. While we show that changes in the incidence of migration episodes are highly correlated with changes in the duration of migration episodes, the correlation between in- and out-migration between areas is unexpectedly weak. The methodological framework described here provides an important addition to current methods in studies of human migration and climate change.
    UNBIS Thesaurus MIGRATION
    BANGLADESH
    CLIMATE CHANGE
    Keyword Adaptation
    Disaster
    Copyright Holder The Authors
    Copyright Year 2016
    Copyright type Creative commons
    DOI http://dx.doi.org/10.1016/j.gloenvcha.2016.02.002
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    Created: Mon, 13 Feb 2017, 22:57:25 JST by Aarti Basnyat on behalf of UNU EHS