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AN OPEN URBAN EMERGENCY DECISION SUPPORT SYSTEM
Zimin Zhang*, Qi Li
Institute of Remote Sensing & Geographical Information System, Peking University, Beijing 100871, China-
(zhangzimin, liqi)@pku.edu.cn
Commission IV, WG IV/8
KEY WORDS: Emergency, Decision Support System, CyberSIG, Integrated Modeling System, CyberSIG Service Bus, Spatial
Database Management System
ABSTRACT:
Many contingencies, both natural and man-made, have taught people that well coordination of organizations involved in emergency
is most critical for effective response, and decisions ought to be made on the foundation of a synthetical analysis of data from
multiple sources. These lessons bring new requirements for emergency Decision Support System (DSS), which include the
capability of integrating data from incident-related organizations in real time and performing a comprehensive analysis and model
computations. In this paper, we present an open DSS for urban emergency - Eplan that is able to satisfy these requirements. The
DSS is constructed on the basis of a Digital City Infrastructure Service Platform (CyberSIG) developed by us. Three systems of
CyberSIG, spatial database management system, integrated simulation modeling system and CyberSIG service bus, and a decision
support subsystem compose the DSS. Under the support of the three underlain systems, data from different organizations can be
enrolled into or withdrawn from the DSS easily, and prediction models of incidents are able to be created or replaced quickly and
with little difficulty. In fact, the DSS provides an emergency DSS framework capable of response to a variety of urban contingencies.
The DSS is firstly introduced, and then questions on the system and the framework are discussed.
1. INTRODUCTION
The lessons from the past incidents, for example, the 9.11
terrorist attacks, the SARS outbreak, the Katrina hurricane,
have clearly showed the critical importance of coordination of
multiple organizations involving governmental agencies, the
private sector and nongovernmental organizations for efficient
and effective response to emergencies. The coordination
depends on a series of measures, including well-organized
response agencies with explicit responsibilities, handy
communication system to support on-line information
transmission, and decision support system to assist decision
makers to issue appropriate response commands and help
response operators to arrange activities reasonably. Among
these measures, DSS plays a critical role, and essentially
demands an integration of data from diverse organizations.
While presently the DSSs created are almost deficiencies of the
capability (Wallace and Balogh, 1985; Quaranta et al., 2002),
or only provide limited integration (Tufekci, 1995; Zerger and
Smith, 2003; Bianconi et al., 2004; Martin et al., 2004; Alhajraf
et al., 2005). The reason is the lack of a framework capable of
providing easy access to resources involving data and models
widely dispersed in different organizations.
Digital City Infrastructure Service Platform (CyberSIG) (Lin et
al., 2002; Li and Gan, 2005) that is developed by us as a
underpinning system for digital city enables the sharing of
resources of multiple organizations, and therefore provides a
well framework described above for emergency DSS. In this
paper, we present an emergency DSS named Eplan that is
created based on CyberSIG. The underlain service platform
brings the DSS to great capability of accommodating to
response to different kinds of contingencies and diversified
emergency situation. The architecture and segments of the DSS
are described in section 2. A discussion on the system and
relevant questions is given in section 3.
2. THE OPEN EMERGENCY DSS
2.1 System overview
The DSS is composed of a decision support subsystem and
three systems of CyberSIG, spatial database management
system (SDMS), CyberSIG service bus (CSB) and integrated
simulation modeling system (Isim) (see Figure 1).
CyberSIG
Spatial Database
Management
System
Decision
Support I <£r=£j>
Subsystem
N
CyberSIG
Service Bus
Integrated
Simulation
Modeling System
Outer information
Resources
Figure 1. System architecture overview
* Corresponding author.