Quantitative estimates of collective geo-tagged human activities in response to typhoon Hato using location-aware big data  

作　　者：Zhang Liu Yunyan Du Jiawei Yi Fuyuan Liang Ting Ma Tao Pei 

机构地区：[1]State Key Laboratory of Resources and Environmental Information System,Institute of Geographical Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing,People’s Republic of China [2]College of Resources and Environment,University of Chinese Academy of Sciences,Beijing,People’s Republic of China [3]Department of Geography,Western Illinois University,Macomb,IL,USA

出　　处：《International Journal of Digital Earth》2020年第9期1072-1092,共21页国际数字地球学报（英文）

基　　金：the National Key R&D Program of China(grant number 2017YFC1503003);the National Key Research and Development Program(grant number 2017YFB0503605);the National Mountain Flood Disaster Investigation Project(SHZH-IWHR-57).

摘　　要：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.

关 键 词：Human response TYPHOON natural disaster locationaware data rapid disaster assessment 

分 类 号：TQ5[化学工程]