Advanced search
Publication Cover
Geo-spatial Information Science Volume 26, 2023 - Issue 4: Multi-scale & multi-mode human mobility: pre, peri and post COVID-19 pandemic
Submit an article Journal homepage
422
Views
0
CrossRef citations to date
0
Altmetric
Editorial

Special issue on “multi-scale and multimodal human mobility: pre, peri and post COVID-19 pandemic”

Tao Chenga SpaceTimeLab, Department of Civil, Environmental and Geomatic Engineering, University College London, London, UKCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-5503-9813View further author information
ORCID Icon &
Huanfa Chenb Centre for Advanced Spatial Analysis, University College London, London, UKORCID Iconhttps://orcid.org/0000-0002-4518-7601View further author information
ORCID Icon
Pages 599-602 | Published online: 15 Dec 2023

References

  • Carter, L. C., and R. Tao. 2023. “Evaluating COVID-19’s Impacts on Puerto Rican’s travel behaviors.” Geo-Spatial Information Science 1–11. https://doi.org/10.1080/10095020.2022.2161426.
  • Chang, S., E. Pierson, P. W. Koh, J. Gerardin, B. Redbird, D. Grusky, and J. Leskovec. 2021. “Mobility Network Models of COVID-19 Explain Inequities and Inform Reopening.” Nature 589 (7840): 82–87. https://doi.org/10.1038/s41586-020-2923-3.
  • Cheng, T., T. Chen, Y. Liu, R. W. Aldridge, V. Nguyen, A. C. Hayward, and S. Michie. 2022. “Human Mobility Variations in Response to Restriction Policies During the COVID-19 Pandemic: An Analysis from the Virus Watch Community Cohort in England, UK.” Frontiers in Public Health 10. Accessed December 7, 2023. https://www.frontiersin.org/articles/10.3389/fpubh.2022.999521.
  • Chinazzi, M., J. T. Davis, M. Ajelli, C. Gioannini, M. Litvinova, S. Merler, A. Pastore y Piontti, et al. 2020. “The Effect of Travel Restrictions on the Spread of the 2019 Novel Coronavirus (COVID-19) Outbreak.” Science 368 (6489): 395–400. https://doi.org/10.1126/science.aba9757.
  • Gao, X., H. Chen, and J. Haworth. 2023. “A Spatiotemporal Analysis of the Impact of Lockdown and Coronavirus on London’s Bicycle Hire Scheme: From Response to Recovery to a New Normal.” Geo-Spatial Information Science 1–21. https://doi.org/10.1080/10095020.2023.2233570.
  • Hou, X., S. Gao, Q. Li, Y. Kang, N. Chen, K. Chen, J. Rao, J. S. Ellenberg, and J. A. Patz. 2021. “Intracounty Modeling of COVID-19 Infection with Human Mobility: Assessing Spatial Heterogeneity with Business Traffic, Age, and Race.” Proceedings of the National Academy of Sciences 118 (24): e2020524118. https://doi.org/10.1073/pnas.2020524118.
  • Santana, C., F. Botta, H. Barbosa, F. Privitera, R. Menezes, and R. Di Clemente. 2023. “COVID-19 is Linked to Changes in the Time–Space Dimension of Human Mobility.” Nature Human Behaviour 7 (10): 1729–1739. https://doi.org/10.1038/s41562-023-01660-3.
  • Sharma, D., C. Zhong, and H. Wong. 2023. “Lockdown Lifted: Measuring Spatial Resilience from London’s Public Transport Demand Recovery.” Geo-Spatial Information Science 1–18. https://doi.org/10.1080/10095020.2022.2156300.
  • Wu, Y., and Y. Li. 2022. “‘Hot Street’ of Crime Detection in London Borough and Lockdown Impacts.” Geo-Spatial Information Science 1–17. https://doi.org/10.1080/10095020.2022.2088302.
  • Xia, J., T. Li, Z. Yu, E. Chen, Y. Yue, Z. Li, and Y. Zhou. 2023. “Population Mobility Change for Controlling the Transmission of COVID-19: Mobile Phone Data Analysis in Nine Cities of China.” Geo-Spatial Information Science 1–15. https://doi.org/10.1080/10095020.2023.2246506.
  • Xiong, C., S. Hu, M. Yang, W. Luo, and L. Zhang. 2020. “Mobile Device Data Reveal the Dynamics in a Positive Relationship Between Human Mobility and COVID-19 Infections.” Proceedings of the National Academy of Sciences 117 (44): 27087–27089. https://doi.org/10.1073/pnas.2010836117.
  • Zhang, G., S. Poslad, Y. Fan, and X. Rui. 2022. “Quantitative Spatiotemporal Impact of Dynamic Population Density Changes on the COVID-19 Pandemic in China’s Mainland.” Geo-Spatial Information Science 1–22. https://doi.org/10.1080/10095020.2022.2066576.
  • Zhang, X., and T. Cheng. 2022. “The Impacts of the COVID-19 Pandemic on Multimodal Human Mobility in London: A Perspective of Decarbonizing Transport.” Geo-Spatial Information Science 1–13. https://doi.org/10.1080/10095020.2022.2122876.
  • Zhao, F., Z. Dai, W. Zhang, Y. Shan, and C. Fu. 2023. “Epidemiological-Survey-Based Multidimensional Modeling for Understanding Daily Mobility During the COVID-19 Pandemic Across Urban-Rural Gradient in the Chinese Mainland.” Geo-Spatial Information Science 1–13. https://doi.org/10.1080/10095020.2022.2156821.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.