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Quantitative estimates of collective geo-tagged human activities in response to typhoon Hato using location-aware big data 被引量:1
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作者 Zhang Liu Yunyan Du +3 位作者 Jiawei Yi Fuyuan Liang Ting Ma Tao Pei 《International Journal of Digital Earth》 SCIE 2020年第9期1072-1092,共21页
Location-aware big data from social media have been widely used to quantitatively characterize natural disasters and disaster-induced losses.It is not clear how human activities collectively respond to a disaster.In t... Location-aware big data from social media have been widely used to quantitatively characterize natural disasters and disaster-induced losses.It is not clear how human activities collectively respond to a disaster.In this study,we examined the collective human activities in response to Typhoon Hato at multi spatial scales using aggregated location request data.We proposed a Multilevel Abrupt Changes Detection(MACD)methodological framework to detect and characterize the abrupt changes in location requests in response to Typhoon Hato.Results show that,at the grid level,most anomaly grids were located within a radius of 53 km around the typhoon trajectory.At the city level,there are significant spatial difference in terms of the human activity recovery duration(230 h on average).At the subnational level,the absolute magnitude of abrupt location request changes is strongly correlated with the typhoon-induced economic losses and the population affected. 展开更多
关键词 Human response TYPHOON natural disaster locationaware data rapid disaster assessment
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