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E-raamat: Emergency Response Decision Support System

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  • Formaat: PDF+DRM
  • Sari: SpringerBriefs in Business
  • Ilmumisaeg: 15-Jan-2017
  • Kirjastus: Springer Verlag, Singapore
  • Keel: eng
  • ISBN-13: 9789811035425
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Emergency Response Decision Support SystemSuurem pilt
  • Formaat: PDF+DRM
  • Sari: SpringerBriefs in Business
  • Ilmumisaeg: 15-Jan-2017
  • Kirjastus: Springer Verlag, Singapore
  • Keel: eng
  • ISBN-13: 9789811035425
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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.
1 Introduction
1(10)
1.1 What Is Emergency Response
1(2)
1.2 What Is a Decision Support System (DSS)?
3(1)
1.3 What Is an Emergency Response Decision Support System (ERDSS)?
4(1)
1.4 ERDSS Business Values
5(1)
1.5 Current ERDSS Research
6(1)
1.6 ERDSS Challenges and Trends
6(5)
References
9(2)
2 The Emergency Response Decision Support System Framework
11(18)
2.1 The ERDSS Framework
11(1)
2.2 The Emergency Service Helpdesk Module
12(2)
2.3 The Command and Coordination Center Module
14(2)
2.4 The Emergency Plan Management Module
16(1)
2.5 The Emergency Relief Supplies Management Module
17(2)
2.6 The Emergency Finance Budget Management Module
19(1)
2.7 The Emergency Organization and Activity Management Module
20(2)
2.8 The Emergency Knowledge Warehouse Module
22(2)
2.9 The Emergency Warning Management Module
24(1)
2.10 The Emergency Alarm Management Module
25(1)
2.11 The Problem Analysis and Management Module
26(3)
References
28(1)
3 ERDSS Key Technologies
29(32)
3.1 Disaster Assessment Technology
29(2)
3.1.1 Assessment Indicator Framework
29(1)
3.1.2 Assessment Indicator Algorithm
30(1)
3.1.3 Evaluation Process
31(1)
3.2 Adaptive Information Evaluation Technology
31(2)
3.3 Knowledge Management Technology
33(2)
3.3.1 Constructing Ontologies
33(1)
3.3.2 Case Similarity Algorithm
34(1)
3.4 Knowledge Evaluation Technology
35(2)
3.4.1 User Satisfaction and Artificial Quality Evaluation
35(1)
3.4.2 Information Quality Classification and Evaluation Methods
36(1)
3.5 Blog Evaluation Technology
37(1)
3.5.1 Blog Theme Recognition in the Emergency Response Category
37(1)
3.5.2 Blog Evaluation Model Based on Information Entropy
38(1)
3.6 Information Dissemination Analysis Technology
38(2)
3.6.1 Emergency Information Evaluation in the Virtual Community
38(1)
3.6.2 Evaluation Framework for Emergency Information Propagation
39(1)
3.6.3 Emergency Propagation Model for the Virtual Community
39(1)
3.7 Emergency Resource Scheduling Technology
40(2)
3.7.1 Modeling the Urban Emergency Supplies Scheduling Process
40(1)
3.7.2 Unit Analysis of the Emergency Resource Scheduling Process
40(1)
3.7.3 Establishing the Petri Net Model
41(1)
3.8 Simulation Modeling Technology
42(1)
3.8.1 Analysis of Agent Structures in the Emergency Plan
42(1)
3.8.2 Petri Net-Based Emergency Plan Process Modeling
42(1)
3.9 Other Related Technologies
43(18)
3.9.1 Dijkstra's Algorithm
44(1)
3.9.2 Ant Colony Optimization Algorithm
45(1)
3.9.3 Network Terminal Reliability
46(1)
3.9.4 Path Selection and Network Indices
47(1)
3.9.5 Cost Estimation
47(1)
3.9.6 Artificial Neural Networks (ANNs)
48(1)
3.9.7 GIS (Geographic Information System)
49(1)
3.9.8 Mobile Technology
50(1)
3.9.9 Immunology
50(1)
3.9.10 Social Media
51(2)
3.9.11 Information and Communications Technology (ICT)
53(1)
3.9.12 RFID (Radio Frequency Identification)
54(1)
3.9.13 Internet of Things
55(2)
References
57(4)
4 Case Study
61
4.1 Disaster Rescue Decision Support System for Beijing
61(3)
4.2 Beijing Hood Emergency Management Intelligent Database System
64
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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