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CPS model based online opinion governance modeling and evaluation of emergency accidents

Published: 31 October 2016 Publication History

Abstract

In the last decades, there have been much more public health crises in the world such as H1N1, H7N9 and Ebola out-break. In the same time, it has been proved that our world has come into the time when public crisis accidents number was growing fast. Sometimes, crisis response to these public emergency accidents is involved in a complex system consisting of cyber, physics and society domains (CPS Model). In order to collect and analyze these accidents with higher efficiency, we need to design and adopt some new tools and models. In this paper, we used CPS Model based Online Opinion Governance system which constructed on cellphone APP for data collection and decision making in the back end. Based on the online opinion data we collected, we also proposed the graded risk classification. By the risk classification method, we have built an efficient CPS Model based simulated emergency accident replying and handling system. It has been proved useful in some real accidents in China in recent years.

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  • (2020)Using Mobile Phone Data for Emergency Management: a Systematic Literature ReviewInformation Systems Frontiers10.1007/s10796-020-10057-wOnline publication date: 16-Sep-2020

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cover image ACM Conferences
EM-GIS '16: Proceedings of the Second ACM SIGSPATIALInternational Workshop on the Use of GIS in Emergency Management
October 2016
101 pages
ISBN:9781450345804
DOI:10.1145/3017611
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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Association for Computing Machinery

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Publication History

Published: 31 October 2016

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Author Tags

  1. APP data collection
  2. CPS model
  3. emergency disaster
  4. online opinion analysis
  5. situation evaluation

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  • Research-article

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SIGSPATIAL'16
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EM-GIS '16 Paper Acceptance Rate 16 of 26 submissions, 62%;
Overall Acceptance Rate 30 of 54 submissions, 56%

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  • (2020)Using Mobile Phone Data for Emergency Management: a Systematic Literature ReviewInformation Systems Frontiers10.1007/s10796-020-10057-wOnline publication date: 16-Sep-2020

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