Using digital footprint data to monitor human mobility and support rapid humanitarian responses
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 docum...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2022-12-01
|
| Series: | Regional Studies, Regional Science |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/21681376.2022.2135458 |
| _version_ | 1811193704882372608 |
|---|---|
| author | Francisco Rowe |
| author_facet | Francisco Rowe |
| author_sort | Francisco Rowe |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-12T00:14:08Z |
| format | Article |
| id | doaj.art-a32d3644689b46578b1ba77beefdb996 |
| institution | Directory Open Access Journal |
| issn | 2168-1376 |
| language | English |
| last_indexed | 2024-04-12T00:14:08Z |
| publishDate | 2022-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Regional Studies, Regional Science |
| spelling | doaj.art-a32d3644689b46578b1ba77beefdb9962022-12-22T03:55:54ZengTaylor & Francis GroupRegional Studies, Regional Science2168-13762022-12-019166566810.1080/21681376.2022.2135458Using digital footprint data to monitor human mobility and support rapid humanitarian responsesFrancisco Rowe0Geographic Data Science Lab, Department of Geography and Planning, University of Liverpool, Liverpool, UKGlobal 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.https://www.tandfonline.com/doi/10.1080/21681376.2022.2135458digital footprint datahuman mobilitypopulation displacementfloodingPakistangeographical data science |
| spellingShingle | Francisco Rowe Using digital footprint data to monitor human mobility and support rapid humanitarian responses Regional Studies, Regional Science digital footprint data human mobility population displacement flooding Pakistan geographical data science |
| title | Using digital footprint data to monitor human mobility and support rapid humanitarian responses |
| title_full | Using digital footprint data to monitor human mobility and support rapid humanitarian responses |
| title_fullStr | Using digital footprint data to monitor human mobility and support rapid humanitarian responses |
| title_full_unstemmed | Using digital footprint data to monitor human mobility and support rapid humanitarian responses |
| title_short | Using digital footprint data to monitor human mobility and support rapid humanitarian responses |
| title_sort | using digital footprint data to monitor human mobility and support rapid humanitarian responses |
| topic | digital footprint data human mobility population displacement flooding Pakistan geographical data science |
| url | https://www.tandfonline.com/doi/10.1080/21681376.2022.2135458 |
| work_keys_str_mv | AT franciscorowe usingdigitalfootprintdatatomonitorhumanmobilityandsupportrapidhumanitarianresponses |