Urban flood modelling using geo-social intelligence

Kun Yang, Katina Michael, Roba Abbas, Tomas Holderness

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Social media is not only a way to share information among a group of people but also an emerging source of rich primary data that can be crowdsourced for good. The primary function of social media is to allow people to network near real-time, yet the repository of amassed data can also be applied to decision support systems in response to extreme weather events. In this paper, Twitter is used to crowdsource information about several monsoon periods that caused flooding in the megacity of Jakarta, Indonesia. Tweets from two previous monsoons related to flooding were collected and analysed using the hashtag # 'banjir'. By analysing the relationship between the tweets and the flood events, this study aims to create 'trigger metrics' of flooding based on Twitter activity. Such trigger metrics have the advantage of being able to provide a situational overview of flood conditions in near real-time, as opposed to formal government flood maps that are produced on a six to twelve hourly schedule alone. The aim is to provide continuous intelligence, rather than make decisions on outdated data gathered between extended discrete intervals.

Original languageEnglish (US)
Title of host publication2017 IEEE International Symposium on Technology and Society, ISTAS 2017
EditorsPaul Cunningham, Miriam Cunningham
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-9
Number of pages9
ISBN (Electronic)9781538604878
DOIs
StatePublished - Mar 16 2018
Event2017 IEEE International Symposium on Technology and Society, ISTAS 2017 - Sydney, Australia
Duration: Aug 10 2017Aug 11 2017

Publication series

NameInternational Symposium on Technology and Society, Proceedings
Volume2017-August

Conference

Conference2017 IEEE International Symposium on Technology and Society, ISTAS 2017
CountryAustralia
CitySydney
Period8/10/178/11/17

Keywords

  • #banjir
  • Jakarta
  • Twitter
  • crowdsourcing
  • emergency management
  • floods
  • hashtag
  • social media

ASJC Scopus subject areas

  • Engineering(all)
  • Social Sciences(all)

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  • Cite this

    Yang, K., Michael, K., Abbas, R., & Holderness, T. (2018). Urban flood modelling using geo-social intelligence. In P. Cunningham, & M. Cunningham (Eds.), 2017 IEEE International Symposium on Technology and Society, ISTAS 2017 (pp. 1-9). (International Symposium on Technology and Society, Proceedings; Vol. 2017-August). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISTAS.2017.8319086