what-when-how
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will be generated to produce an accurate characterization of each region of the
transportation system. Multiple transportation agencies are assisting in the process
of gathering data by monitoring traffic low within the transportation system [16].
his data will be used to model the rules of interaction between the transportation
system and the emergency response organizations under the influence of some criti-
cal event.
he second step toward building the simulation framework is simulating the
emergency response network. Data relating to this simulation has been extracted
from emergency plans, protocols and policies for emergency response, and opera-
tion logs of past incidents occurring on the transportation system. Additionally,
the low of information between the various emergency response organizations will
contribute to the data. his informational data includes the number of messages
sent, the direction of message low, and urgency of need. he data extracted from
the emergency response organizations in the Pittsburgh Metropolitan Region will
be used to establish parameters of information low in characterizing the simula-
tion behavior in response to different critical events. Also, to investigate decision
making in the management of these emergency response organizations, a meta-
agent, or means of simulated coordination and control, is introduced, as well as the
use of the Bayesian network model, which allows for the modeling of incomplete
information and uncertainty related to human decision making [16].
he last step toward building the simulation framework is simultaneously sim-
ulating the social and transportation network. he simultaneous simulation will
allow both the physical infrastructure and the organizational infrastructure to be
analyzed in relation to one another. he results of these analyses on the interaction
between the two technical and organizational systems will, once again, contribute
to the process of identifying the different points of failure, which, in turn, points
out what aspects of the systems need to be improved to prevent future occurrences
of a critical event or a better means of addressing the occurrence of the critical
event.
he final phase is to establish a module for decision support. To complete the
characterization and modeling of the Pittsburgh Metropolitan Region's transporta-
tion system, a decision module will be produced to assist decision making authori-
ties in efficiently handling critical events in the transportation system.
9.6 Conclusions
Risk analysis is an important means of defining and analyzing possible threats to
individuals, businesses, or the environments or systems in which they function or
participate in. Risk analysis is performed by a multitude of occupations ranging from
engineering, computer science, social scientists, etc. he presented studies illustrate
that the process of implementing risk analysis to sociotechnical systems is evolving.
Regarding the study performed on the Maritime Transport System, initial application
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