Space, time, and situational awareness in natural hazards: a case study of Hurricane Sandy with social media data

Zheye Wang, Xinyue Ye

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

Various methods have been developed to investigate the geospatial information, temporal component, and message content in disaster-related social media data to enrich human-centric information for situational awareness. However, few studies have simultaneously analyzed these three dimensions (i.e. space, time, and content). With an attempt to bring a space–time perspective into situational awareness, this study develops a novel approach to integrate space, time, and content dimensions in social media data and enable a space–time analysis of detailed social responses to a natural disaster. Using Markov transition probability matrix and location quotient, we analyzed the Hurricane Sandy tweets in New York City and explored how people’s conversational topics changed across space and over time. Our approach offers potential to facilitate efficient policy/decision-making and rapid response in mitigations of damages caused by natural disasters.

Original languageEnglish (US)
Pages (from-to)334-346
Number of pages13
JournalCartography and Geographic Information Science
Volume46
Issue number4
DOIs
StatePublished - Jul 4 2019
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Geography, Planning and Development
  • Management of Technology and Innovation

Keywords

  • Space–time
  • natural hazards
  • situational awareness
  • social media

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