{"title":"Dynamic Assessment of Spatiotemporal Population Distribution Based on Mobile Phone Data: A Case Study in Xining City, China","authors":"Benyong Wei, Guiwu Su, Fenggui Liu","doi":"10.1007/s13753-023-00480-3","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":48740,"journal":{"name":"International Journal of Disaster Risk Science","volume":"1 1","pages":"1-17"},"PeriodicalIF":2.9000,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Disaster Risk Science","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1007/s13753-023-00480-3","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
期刊介绍:
The International Journal of Disaster Risk Science (IJDRS) provides a pioneering platform for researchers and practitioners aiming at greater resilience and integrated risk governance in view of local, regional, and global disasters. IJDRS breaks new ground in research about disaster risks by connecting in-depth studies of actual disasters and of specific practices of disaster risk management with investigations of the global dynamics of disaster risks and theories and models relevant for advanced integrated risk governance.