利用数字足迹数据监测人员流动并支持快速人道主义反应

IF 1.7 Q2 GEOGRAPHY Regional Studies Regional Science Pub Date : 2022-10-31 DOI:10.1080/21681376.2022.2135458
Francisco Rowe
{"title":"利用数字足迹数据监测人员流动并支持快速人道主义反应","authors":"Francisco Rowe","doi":"10.1080/21681376.2022.2135458","DOIUrl":null,"url":null,"abstract":"ABSTRACT Global warming is increasing the frequency of extreme weather events leading to an increased risk of large-scale population displacements. Since June 2022, Pakistan has recorded destructive flash flooding resulting from melting glaciers and torrential monsoon rainfall. Emergency responses have documented flood-related deaths, injuries and damaged infrastructure – less is known about population displacements resulting from recent floods. Information about these populations and mobility is critical to ensure the appropriate delivery of humanitarian assistance where it is most needed. Lack of granular spatial data in real time has been a key barrier. This article uses digital footprint data from Meta Facebook to identify the patterns of population displacement in Pakistan in near-real time.","PeriodicalId":46370,"journal":{"name":"Regional Studies Regional Science","volume":"9 1","pages":"665 - 668"},"PeriodicalIF":1.7000,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Using digital footprint data to monitor human mobility and support rapid humanitarian responses\",\"authors\":\"Francisco Rowe\",\"doi\":\"10.1080/21681376.2022.2135458\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT Global warming is increasing the frequency of extreme weather events leading to an increased risk of large-scale population displacements. Since June 2022, Pakistan has recorded destructive flash flooding resulting from melting glaciers and torrential monsoon rainfall. Emergency responses have documented flood-related deaths, injuries and damaged infrastructure – less is known about population displacements resulting from recent floods. Information about these populations and mobility is critical to ensure the appropriate delivery of humanitarian assistance where it is most needed. Lack of granular spatial data in real time has been a key barrier. This article uses digital footprint data from Meta Facebook to identify the patterns of population displacement in Pakistan in near-real time.\",\"PeriodicalId\":46370,\"journal\":{\"name\":\"Regional Studies Regional Science\",\"volume\":\"9 1\",\"pages\":\"665 - 668\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2022-10-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Regional Studies Regional Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/21681376.2022.2135458\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"GEOGRAPHY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Regional Studies Regional Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/21681376.2022.2135458","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GEOGRAPHY","Score":null,"Total":0}
引用次数: 2

摘要

摘要全球变暖正在增加极端天气事件的频率,导致大规模人口流离失所的风险增加。自2022年6月以来,巴基斯坦记录了冰川融化和季风暴雨造成的破坏性山洪暴发。应急响应记录了与洪水有关的死亡、受伤和基础设施受损,但对最近洪水导致的人口流离失所知之甚少。关于这些人口和流动性的信息对于确保在最需要的地方适当提供人道主义援助至关重要。缺乏实时的细粒度空间数据一直是一个关键障碍。本文使用Meta Facebook的数字足迹数据来近实时识别巴基斯坦人口流离失所的模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Using digital footprint data to monitor human mobility and support rapid humanitarian responses
ABSTRACT Global warming is increasing the frequency of extreme weather events leading to an increased risk of large-scale population displacements. Since June 2022, Pakistan has recorded destructive flash flooding resulting from melting glaciers and torrential monsoon rainfall. Emergency responses have documented flood-related deaths, injuries and damaged infrastructure – less is known about population displacements resulting from recent floods. Information about these populations and mobility is critical to ensure the appropriate delivery of humanitarian assistance where it is most needed. Lack of granular spatial data in real time has been a key barrier. This article uses digital footprint data from Meta Facebook to identify the patterns of population displacement in Pakistan in near-real time.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
3.00
自引率
15.80%
发文量
49
审稿时长
18 weeks
期刊介绍: Regional Studies, Regional Science is an interdisciplinary open access journal from the Regional Studies Association, first published in 2014. We particularly welcome submissions from authors working on regional issues in geography, economics, planning, and political science. The journal features a streamlined peer-review process and quick turnaround times from submission to acceptance. Authors will normally receive a decision on their manuscript within 60 days of submission.
期刊最新文献
Social vulnerability and local economic outcomes during the COVID-19 pandemic The diffusion of digital skills across EU regions: structural drivers and polarisation dynamics The geographical dimension of income inequality in Greece: evolution and the ‘turning point’ after the economic crisis Italian cultural and creative industries following the Great Recession: an exploration of the local determinants of growth Inter-temporal co-evolution of divergent economic activities and spatial economic resilience embedded in informal institutions
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1