Patterns and Limitations of Urban Human Mobility Resilience under the Influence of Multiple Types of Natural Disaster

dc.contributor.authorWang, Qien
dc.contributor.authorTaylor, John E.en
dc.contributor.departmentCivil and Environmental Engineeringen
dc.contributor.editorBraunstein, Lidia Adrianaen
dc.date.accessioned2016-03-23T17:00:03Zen
dc.date.available2016-03-23T17:00:03Zen
dc.date.issued2016-01-28en
dc.description.abstractNatural disasters pose serious threats to large urban areas, therefore understanding and predicting human movements is critical for evaluating a population’s vulnerability and resilience and developing plans for disaster evacuation, response and relief. However, only limited research has been conducted into the effect of natural disasters on human mobility. This study examines how natural disasters influence human mobility patterns in urban populations using individuals’ movement data collected from Twitter. We selected fifteen destructive cases across five types of natural disaster and analyzed the human movement data before, during, and after each event, comparing the perturbed and steady state movement data. The results suggest that the power-law can describe human mobility in most cases and that human mobility patterns observed in steady states are often correlated with those in perturbed states, highlighting their inherent resilience. However, the quantitative analysis shows that this resilience has its limits and can fail in more powerful natural disasters. The findings from this study will deepen our understanding of the interaction between urban dwellers and civil infrastructure, improve our ability to predict human movement patterns during natural disasters, and facilitate contingency planning by policymakers.en
dc.description.notesGeotagged positional data are available from Dryad with the following DOI: doi:10.5061/dryad.88354.en
dc.description.notes2015-2016 Open Access Subvention Funden
dc.description.sponsorshipNational Science Foundationen
dc.description.sponsorshipVirginia Tech BioBuild Interdisciplinary Graduate Education Programen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationWang Q, Taylor JE. (2016). Patterns and Limitations of Urban Human Mobility Resilience under the Influence of Multiple Types of Natural Disaster. PLoS ONE 11(1): e0147299. doi:10.1371/journal.pone.0147299en
dc.identifier.doihttps://doi.org/10.1371/journal.pone.0147299en
dc.identifier.issn1932-6203en
dc.identifier.issue1en
dc.identifier.otherGrant No. 1142379en
dc.identifier.urihttp://hdl.handle.net/10919/64978en
dc.identifier.volume11en
dc.language.isoenen
dc.publisherPublic Library of Scienceen
dc.relation.urihttp://dx.doi.org/10.5061/dryad.88354en
dc.rightsCreative Commons Attribution 3.0 United Statesen
dc.rights.holderWang, Qien
dc.rights.holderTaylor, John E.en
dc.rights.holder© 2016 Wang, Taylor. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/en
dc.subjectHuman mobilityen
dc.subjectNatural disastersen
dc.subjectTwitteren
dc.subjectUrban areasen
dc.subjectCell phonesen
dc.subjectTelecommunicationsen
dc.subjectWildfiresen
dc.subjectBehavioren
dc.titlePatterns and Limitations of Urban Human Mobility Resilience under the Influence of Multiple Types of Natural Disasteren
dc.title.serialPLOS Oneen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
journal.pone.0147299.PDF
Size:
918.55 KB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
Name:
license.txt
Size:
1.5 KB
Format:
Item-specific license agreed upon to submission
Description: