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

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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。

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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.

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来源期刊

Regional Studies Regional Science GEOGRAPHY-

CiteScore

3.00

自引率

15.80%

发文量

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.