ArticleJournal of the Royal Society, Interface2020
Understanding post-disaster population recovery patterns.
Article in Journal of the Royal Society, Interface, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed.
- Access to Essential Services: A Critical Factor for Predicting Recovery and Quantifying Resilience.Risk analysis : an official publication of the Society for Risk Analysis · 2026Article
- Healthcare Access in the Aftermath: A Longitudinal Analysis of Disaster Impact on US Communities.International journal of environmental research and public health · 2025Article
- Placing engineering in the earthquake response and the survival chain.Nature communications · 2024Review
- Assessing internal displacement patterns in Ukraine during the beginning of the Russian invasion in 2022.Scientific reports · 2024Article
- Spatial and temporal evolution of urban resilience in China and analysis of barriers: Based on a sustainable development perspective.PloS one · 2024Article
- Using mobile phone data to map evacuation and displacement: a case study of the central Italy earthquake.Scientific reports · 2023Article
- Quantifying COVID-19 recovery process from a human mobility perspective: An intra-city study in Wuhan.Cities (London, England) · 2023Article
- Specifying evacuation return and home-switch stability during short-term disaster recovery using location-based data.Scientific reports · 2022Article
- Toward data-driven, dynamical complex systems approaches to disaster resilience.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Quantifying community resilience based on fluctuations in visits to points-of-interest derived from digital trace data.Journal of the Royal Society, Interface · 2021Article
- The dual effect of social ties on COVID-19 spread in Japan.Scientific reports · 2021Article
- Non-compulsory measures sufficiently reduced human mobility in Tokyo during the COVID-19 epidemic.Scientific reports · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite the rising importance of enhancing community resilience to disasters, our understandings on when, how and why communities are able to recover from such extreme events are limited. Here, we study the macroscopic population recovery patterns in disaster affected regions, by observing human mobility trajectories of over 1.9 million mobile phone users across three countries before, during and after five major disasters. We find that, despite the diversity in socio-economic characteristics among the affected regions and the types of hazards, population recovery trends after significant displacement resemble similar patterns after all five disasters. Moreover, the heterogeneity in initial and long-term displacement rates across communities in the three countries were explained by a set of key common factors, including the community's median income level, population, housing damage rates and the connectedness to other cities. Such insights discovered from large-scale empirical data could assist policymaking in various disciplines for developing community resilience to disasters.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.