Emergency Response Decision Support System

1. Auflage 2017
ISBN: 978-981-10-3541-8
Verlag: Springer Nature Singapore

Buch, Englisch, 70 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1569 g

Reihe: SpringerBriefs in Business

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.

Zielgruppe

Research

Autoren/Hrsg.

Yan, Qi

Shan, Siqing

Fachgebiete

• Sozialwissenschaften Politikwissenschaft Militärwesen Zivil- und Katastrophenschutz
• Wirtschaftswissenschaften Betriebswirtschaft Management Entscheidungsfindung
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
• Wirtschaftswissenschaften Betriebswirtschaft Management Risikomanagement
• Rechtswissenschaften Öffentliches Recht Verwaltungsrecht Verwaltungspraxis Feuerwehr, Rettungsdienst, Katastrophen- und Zivilschutz
• Wirtschaftswissenschaften Betriebswirtschaft Management Wissensmanagement
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining

Inhaltsverzeichnis

Abstract.- Chapter 1 Introduction.- 1.1 What Is Emergency Response.- 1.2 What Is A Decision Support System (DSS)?.- 1.3 What Is An Emergency Response Decision Support System (ERDSS)?.- 1.4 ERDSS Business Values.- 1.5 Current ERDSS Research.- 1.6 ERDSS Challenges And Trends.- Chapter 2 The Emergency Response Decision Support System Framework.- 2.1 The ERDSS Framework.- 2.2 The Emergency Service Helpdesk Module.- 2.3 The Command And Coordination Center Module.- 2.4 The Emergency Plan Management Module.- 2.5 The Emergency Relief Supplies Management Module.- 2.6 The Emergency Finance Budget Management Module.- 2.7 The Emergency Organization And Activity Management Module.- 2.8 The Emergency Knowledge Warehouse Module.- 2.9 The Emergency Warning Management Module.- 2.10 The Emergency Alarm Management Module.- 2.11 The Problem Analysis And Management Module.- Chapter 3 ERDSS Key Technologies.- 3.1 Disaster Assessment Technology.- 3.2 Adaptive Information Evaluation Technology.- 3.3Knowledge Management Technology.- 3.4 Knowledge Evaluation Technology.- 3.5 Blog Evaluation Technology.- 3.6 Information Dissemination Analysis Technology.- 3.7 Emergency Resource Scheduling Technology.- 3.8 Simulation Modeling Technology.- 3.9 Other Related Technologies.- Chapter 4 Case Study.- 4.1 Disaster Rescue Decision Support System for Beijing.- 4.2 Beijing Flood Emergency Management Intelligent Database System.- Acknowledgments.

Über Autor(innen)

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.