气候变化领域集成服务门户(CCPortal): Unveiling hidden migration and mobility patterns in climate stressed regions: A longitudinal study of six million anonymous mobile phone users in Bangladesh

CCPortal

DOI	10.1016/j.gloenvcha.2016.02.002
	Unveiling hidden migration and mobility patterns in climate stressed regions: A longitudinal study of six million anonymous mobile phone users in Bangladesh
	Lu X.; Wrathall D.J.; Sundsøy P.R.; Nadiruzzaman M.; Wetter E.; Iqbal A.; Qureshi T.; Tatem A.; Canright G.; Engø-Monsen K.; Bengtsson L.
发表日期	2016
ISSN	0959-3780
卷号	38
英文摘要	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. © 2016 The Authors.
英文关键词	Adaptation; Bangladesh; Climate change; Disaster; Migration; Mobile data
学科领域	adaptation; climate change; data set; disaster; environmental stress; longitudinal gradient; migration; mobile communication; mobility; spatiotemporal analysis; Bangladesh
语种	英语
scopus关键词	adaptation; climate change; data set; disaster; environmental stress; longitudinal gradient; migration; mobile communication; mobility; spatiotemporal analysis; Bangladesh
来源期刊	Global Environmental Change
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/117396
作者单位	Flowminder Foundation, Stockholm, Sweden; Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden; College of Information System and Management, National University of Defense Technology, Changsha, China; United Nations University-Institute for Environment and Human Security, Bonn, Germany; Telenor Research, Oslo, Norway; Department of Geography, University of Exeter, Exeter, United Kingdom; International Centre for Climate Change and Development, Dhaka, Bangladesh; Stockholm School of Economics, Stockholm, Sweden; Department of Geography, University of Southampton, Southampton, United Kingdom
推荐引用方式 GB/T 7714	Lu X.,Wrathall D.J.,Sundsøy P.R.,et al. Unveiling hidden migration and mobility patterns in climate stressed regions: A longitudinal study of six million anonymous mobile phone users in Bangladesh[J],2016,38.
APA	Lu X..,Wrathall D.J..,Sundsøy P.R..,Nadiruzzaman M..,Wetter E..,...&Bengtsson L..(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.
MLA	Lu X.,et al."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(2016).