Using Aggregated Mobility Data to Measure the Effect of COVID-19 Policies on Mobility Changes in Sydney, London, Phoenix, and Pune
To reduce the spread of COVID-19, governments across the world enacted various levels of “shelter-in-place” policies, leading to a notable reduction in urban mobility. To understand the relationship between policy implementation and mobility effects, we use Apple COVID-19 Mobility Trends Reports to...
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| Format: | Article |
| Language: | English |
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Findings Press
2020-10-01
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| Series: | Findings |
| Online Access: | https://doi.org/10.32866/001c.17590 |
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| _version_ | 1850101092706156544 |
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| author | Sarbeswar Praharaj David King Christopher Pettit Elizabeth Wentz |
| author_facet | Sarbeswar Praharaj David King Christopher Pettit Elizabeth Wentz |
| author_sort | Sarbeswar Praharaj |
| collection | DOAJ |
| description | To reduce the spread of COVID-19, governments across the world enacted various levels of “shelter-in-place” policies, leading to a notable reduction in urban mobility. To understand the relationship between policy implementation and mobility effects, we use Apple COVID-19 Mobility Trends Reports to assess how urban travel, by mode, changed in response to public policy. The data were used to statistically evaluate and visualize the changes in urban mobility patterns across four regions: Sydney, London, Phoenix, and Pune, which reflect the global nature of the pandemic and the local nature of policy responses. The results provide insights into how policies can receive a starkly varied response from communities across global regions. |
| format | Article |
| id | doaj-art-eb8802a4eebb45c2ada651c28fed5d50 |
| institution | DOAJ |
| issn | 2652-8800 |
| language | English |
| publishDate | 2020-10-01 |
| publisher | Findings Press |
| record_format | Article |
| series | Findings |
| spelling | doaj-art-eb8802a4eebb45c2ada651c28fed5d502025-08-20T02:40:08ZengFindings PressFindings2652-88002020-10-0110.32866/001c.17590Using Aggregated Mobility Data to Measure the Effect of COVID-19 Policies on Mobility Changes in Sydney, London, Phoenix, and PuneSarbeswar PraharajDavid KingChristopher PettitElizabeth WentzTo reduce the spread of COVID-19, governments across the world enacted various levels of “shelter-in-place” policies, leading to a notable reduction in urban mobility. To understand the relationship between policy implementation and mobility effects, we use Apple COVID-19 Mobility Trends Reports to assess how urban travel, by mode, changed in response to public policy. The data were used to statistically evaluate and visualize the changes in urban mobility patterns across four regions: Sydney, London, Phoenix, and Pune, which reflect the global nature of the pandemic and the local nature of policy responses. The results provide insights into how policies can receive a starkly varied response from communities across global regions.https://doi.org/10.32866/001c.17590 |
| spellingShingle | Sarbeswar Praharaj David King Christopher Pettit Elizabeth Wentz Using Aggregated Mobility Data to Measure the Effect of COVID-19 Policies on Mobility Changes in Sydney, London, Phoenix, and Pune Findings |
| title | Using Aggregated Mobility Data to Measure the Effect of COVID-19 Policies on Mobility Changes in Sydney, London, Phoenix, and Pune |
| title_full | Using Aggregated Mobility Data to Measure the Effect of COVID-19 Policies on Mobility Changes in Sydney, London, Phoenix, and Pune |
| title_fullStr | Using Aggregated Mobility Data to Measure the Effect of COVID-19 Policies on Mobility Changes in Sydney, London, Phoenix, and Pune |
| title_full_unstemmed | Using Aggregated Mobility Data to Measure the Effect of COVID-19 Policies on Mobility Changes in Sydney, London, Phoenix, and Pune |
| title_short | Using Aggregated Mobility Data to Measure the Effect of COVID-19 Policies on Mobility Changes in Sydney, London, Phoenix, and Pune |
| title_sort | using aggregated mobility data to measure the effect of covid 19 policies on mobility changes in sydney london phoenix and pune |
| url | https://doi.org/10.32866/001c.17590 |
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