Flood Area Estimation Using Personal Location Data - Case Study of Japan Floods in 2018

Kei Hiroi, Takahiro Yoshida, Yoshiki Yamagata, Nobuo Kawaguchi

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

1 Citation (Scopus)

Abstract

This research proposes a flood area estimation method in urban areas using personal location data. Many studies have investigated the estimation of flood levels; however, the majority of these previous works are based on the flood monitoring data. The main cause of flood disaster death is drowning due to evacuation delay in the area where observation equipment is not installed, so it is difficult to estimate flood occurrence by the previous method based only on monitoring data. In this research, we propose an estimation method that does not rely on monitoring data and instead estimates flood areas using GPS data collected from smartphones owned by the affected people. This method detects anomaly areas to analyze temporal and spatial changes of an area where a personal movement during a flooding event differs from that during regular times from personal location data. For anomaly detection, we use a dynamic time warping method with fixed window size and inequality metrics to estimate the area where an anomaly event occurred in 2 km grids. We applied this method to Kurashiki city, Okayama Prefecture, where there 52 people died during a flood that occurred in Japan in 2018. Our method found that, at the flooding time, the anomaly occurrence was estimated correctly in the area where inundation actually occurred.

Original languageEnglish
Title of host publication2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages285-291
Number of pages7
ISBN (Electronic)9781538691519
DOIs
Publication statusPublished - 2019 Mar
Externally publishedYes
Event2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019 - Kyoto, Japan
Duration: 2019 Mar 112019 Mar 15

Publication series

Name2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019

Conference

Conference2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019
Country/TerritoryJapan
CityKyoto
Period19/3/1119/3/15

Keywords

  • Anomaly Detection
  • Disaster Estimation
  • GPS Data

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems and Management
  • Artificial Intelligence

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