Assessing the impact of COVID-19 on residents’ activities using baidu heat map data: from the lockdown era to the post-pandemic era
The COVID-19 pandemic has had a profound impact on individual human behaviour, making it a prominent research topic in recent years. However, most studies have focused on mobility, with limited attention given to changes in residents’ activities patterns. Furthermore, changes in these patterns at a...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2025-12-01
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| Series: | International Journal of Digital Earth |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/17538947.2025.2454381 |
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| author | Jinyu Zhang Xuesheng Zhao Dongxue Han |
| author_facet | Jinyu Zhang Xuesheng Zhao Dongxue Han |
| author_sort | Jinyu Zhang |
| collection | DOAJ |
| description | The COVID-19 pandemic has had a profound impact on individual human behaviour, making it a prominent research topic in recent years. However, most studies have focused on mobility, with limited attention given to changes in residents’ activities patterns. Furthermore, changes in these patterns at a finer spatiotemporal scale remain understudied. To fill this gap, we analysed and compared changes in residents’ activities across different streets and time slots from three perspectives – human activity intensity (HAI), population distribution, and daily activity patterns – using high-spatiotemporal-resolution Baidu heat map data. First, we tracked daily variations in HAI for each street across different time slots from the lockdown period to the post-pandemic era. On this basis, we calculated the changes in HAI and population distribution and inferred daily activity patterns. Our results revealed that HAI trends were similar across all streets, but relative changes varied across streets and different time slots. Moreover, the pattern of population distribution changed, with a shift from the central area to the surrounding regions. Additionally, daily activities transitioned from leisure and work activities to residential activities, with more pronounced changes in the forenoon and afternoon slots. These findings provide scientific evidence for guiding targeted urban management. |
| format | Article |
| id | doaj-art-181c75c261054c1b85ec5ebf40e641d1 |
| institution | Kabale University |
| issn | 1753-8947 1753-8955 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | International Journal of Digital Earth |
| spelling | doaj-art-181c75c261054c1b85ec5ebf40e641d12025-01-24T03:12:56ZengTaylor & Francis GroupInternational Journal of Digital Earth1753-89471753-89552025-12-0118110.1080/17538947.2025.2454381Assessing the impact of COVID-19 on residents’ activities using baidu heat map data: from the lockdown era to the post-pandemic eraJinyu Zhang0Xuesheng Zhao1Dongxue Han2College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing, People’s Republic of ChinaCollege of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing, People’s Republic of ChinaCollege of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing, People’s Republic of ChinaThe COVID-19 pandemic has had a profound impact on individual human behaviour, making it a prominent research topic in recent years. However, most studies have focused on mobility, with limited attention given to changes in residents’ activities patterns. Furthermore, changes in these patterns at a finer spatiotemporal scale remain understudied. To fill this gap, we analysed and compared changes in residents’ activities across different streets and time slots from three perspectives – human activity intensity (HAI), population distribution, and daily activity patterns – using high-spatiotemporal-resolution Baidu heat map data. First, we tracked daily variations in HAI for each street across different time slots from the lockdown period to the post-pandemic era. On this basis, we calculated the changes in HAI and population distribution and inferred daily activity patterns. Our results revealed that HAI trends were similar across all streets, but relative changes varied across streets and different time slots. Moreover, the pattern of population distribution changed, with a shift from the central area to the surrounding regions. Additionally, daily activities transitioned from leisure and work activities to residential activities, with more pronounced changes in the forenoon and afternoon slots. These findings provide scientific evidence for guiding targeted urban management.https://www.tandfonline.com/doi/10.1080/17538947.2025.2454381Baidu heat map dataCOVID-19population distributionhuman activitypost-pandemic era |
| spellingShingle | Jinyu Zhang Xuesheng Zhao Dongxue Han Assessing the impact of COVID-19 on residents’ activities using baidu heat map data: from the lockdown era to the post-pandemic era International Journal of Digital Earth Baidu heat map data COVID-19 population distribution human activity post-pandemic era |
| title | Assessing the impact of COVID-19 on residents’ activities using baidu heat map data: from the lockdown era to the post-pandemic era |
| title_full | Assessing the impact of COVID-19 on residents’ activities using baidu heat map data: from the lockdown era to the post-pandemic era |
| title_fullStr | Assessing the impact of COVID-19 on residents’ activities using baidu heat map data: from the lockdown era to the post-pandemic era |
| title_full_unstemmed | Assessing the impact of COVID-19 on residents’ activities using baidu heat map data: from the lockdown era to the post-pandemic era |
| title_short | Assessing the impact of COVID-19 on residents’ activities using baidu heat map data: from the lockdown era to the post-pandemic era |
| title_sort | assessing the impact of covid 19 on residents activities using baidu heat map data from the lockdown era to the post pandemic era |
| topic | Baidu heat map data COVID-19 population distribution human activity post-pandemic era |
| url | https://www.tandfonline.com/doi/10.1080/17538947.2025.2454381 |
| work_keys_str_mv | AT jinyuzhang assessingtheimpactofcovid19onresidentsactivitiesusingbaiduheatmapdatafromthelockdowneratothepostpandemicera AT xueshengzhao assessingtheimpactofcovid19onresidentsactivitiesusingbaiduheatmapdatafromthelockdowneratothepostpandemicera AT dongxuehan assessingtheimpactofcovid19onresidentsactivitiesusingbaiduheatmapdatafromthelockdowneratothepostpandemicera |