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Emergency Response Decision Support System

  • Book
  • © 2017

Overview

  • Offers a clear framework for an Emergency Response Decision Support System
  • Includes an intelligent management system combined with the mining, knowledge management, UGC and other algorithms
  • Provides two representative, practical examples to demonstrate the importance of the ERDSS
  • Includes supplementary material: sn.pub/extras

Part of the book series: SpringerBriefs in Business (BRIEFSBUSINESS)

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Table of contents (4 chapters)

Keywords

About this book

This book mainly addresses the Emergency Response Decision Support System (ERDSS) and its applications, making use of ten related modules and a number of key technologies, especially Disaster Assessing Technology, Adaptive Information Evaluation Technology and Knowledge Management Technology. The book is especially valuable in coping with disasters that result in the loss of human life and property, and which threaten the stability of our societies. The ERDSS enables people to prepare for potential incidents, to rapidly respond to them, and to cope with their aftermath. Presenting practical solutions, this book helps readers to understand the ERDSS and effectively respond to emergency events.

Authors and Affiliations

  • BUAA, Beihang University BUAA, Haidian District, Beijing, China

    Siqing Shan, Qi Yan

About the authors

Siqing Shan is a professor from Beihang University and deputy director of Beijing Key Laboratory of Urban Emergency Support Simulation Technology. His research interests include emergency management, decision support, information systems, and big data analytics. He has published more than 50 research papers in journals such as IJPE, EIS, ITM, CIE, SRBS and for international conferences such as the ICIM, CIE, CEBM and so on. He received a five best paper award from the ICIM2012. He is responsible for two National Natural Science Fund of China (No. 71471008 and No. 70971004) projects, and has completed two emergency response projects funded by Beijing municipal government. In these projects, he studied the framework, key technologies, and application of an emergency response decision support system; this book is primarily based on the findings. 
Qi Yan is a doctoral candidate in Management Science and Engineering at Beihang University. She is mainly engaged in research on emergency management, urban disaster loss assessment, and UGC (User Generated Content) feature analysis.



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