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A personalized GeoSocial app for surviving an earthquake

Published: 03 November 2015 Publication History

Abstract

Earthquakes are sudden, cause huge damage to extensive areas, and may negatively affect the lives of millions of people. Thus, it is crucial to develop a system that can help people survive an earthquake and recover from its aftereffects. In this paper we present a vision of a smartphone app, called EAGA (earthquake alerter and guidance app), that will guide both victims and rescue workers, by leveraging probabilistic geosocial information collected before the event, during the earthquake and in its aftermath. The app has four modes of operation. In standby mode, EAGA collects data about users, their regularly visited locations and their social relations. In alert mode, EAGA warns of an impending earthquake, based on data collected from a variety of sensors and from government warning systems. It also provides initial guidance to the user during the onset of the quake. In disaster mode, EAGA assists users to cope with the tasks of the immediate aftermath, such as evacuation and rescue of victims buried underneath rubble of collapsed buildings. Finally, in recovery mode, EAGA facilitates family reunification, provides information about aid centers and sends warnings regarding the spread of diseases. We believe that EAGA can revolutionize disaster management, and complements current earthquake readiness efforts, by allowing a large degree of much needed decentralization and personalization in dealing with earthquakes.

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cover image ACM Conferences
EM-GIS '15: Proceedings of the 1st ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management
November 2015
116 pages
ISBN:9781450339704
DOI:10.1145/2835596
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 03 November 2015

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Author Tags

  1. disaster management system
  2. earthquake-survival app
  3. geosocial app
  4. personal information management
  5. smartphone applications
  6. socio-spatial networks

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Overall Acceptance Rate 30 of 54 submissions, 56%

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  • (2022)Bot-Based Emergency Software Applications for Natural Disaster SituationsFuture Internet10.3390/fi1403008114:3(81)Online publication date: 9-Mar-2022
  • (2019)Telecommunication Networks in Disaster Management: A ReviewJournal of Communications10.12720/jcm.14.6.432-447(432-447)Online publication date: 2019
  • (2018)Combined geo-social searchGeoinformatica10.5555/3238836.323886122:3(615-660)Online publication date: 1-Jul-2018
  • (2017)Early Fire Alert System During an Evacuation with Mobile Sensing TechnologyJournal of Disaster Research10.20965/jdr.2017.p032012:2(320-328)Online publication date: 16-Mar-2017
  • (2017)Combined geo-social search: computing top-k join queries over incomplete informationGeoInformatica10.1007/s10707-017-0297-y22:3(615-660)Online publication date: 25-Mar-2017
  • (2016)Uncertainty in geosocial dataSIGSPATIAL Special10.1145/3024087.30240888:2(3-10)Online publication date: 9-Dec-2016

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