Traffic Impact Area Detection and Spatiotemporal Influence Assessment for Disaster Reduction Based on Social Media: A Case Study of the 2018 Beijing Rainstorm

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datacite.relatedItem.firstPage136
datacite.relatedItem.issue2
datacite.relatedItem.relatedIdentifierTypeISSN
datacite.relatedItem.relatedItemIdentifier2220-9964
datacite.relatedItem.relationTypeIsPublishedIn
datacite.relatedItem.titleIJGI
datacite.relatedItem.volume9
dc.contributor.authorTengfei Yang
dc.contributor.authorJibo Xie
dc.contributor.authorGuoqing Li
dc.contributor.authorNaixia Mou
dc.contributor.authorCuiju Chen
dc.contributor.authorJing Zhao
dc.contributor.authorZhan Liu
dc.contributor.authorZhenyu Lin
dc.date.accessioned2025-05-14T16:01:17Z
dc.date.available2025-05-14T16:01:17Z
dc.date.issued2020
dc.identifier.doihttps://doi.org/10.3390/ijgi9020136
dc.identifier.otherjz000157-0134
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/30144
dc.publisherMDPI AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc550
dc.titleTraffic Impact Area Detection and Spatiotemporal Influence Assessment for Disaster Reduction Based on Social Media: A Case Study of the 2018 Beijing Rainstorm
dc.typeArticle
dcat.distribution.pdfhttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/30145
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