The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B4. Beijing 2008
evaluation models (Lindell, 1995; Church and Cova, 2000) for
emergency preparation are another important type, which
evaluate emergency elements and give some high risk regions
or traffic networks prone to occurring incidents or causing great
damage.
4. CONCLUSION
As discussed, emergency DSS must be able to integrate needed
data from multiple organizations involved in emergency. The
urban emergency DSS presented in this paper achieves this
capability through a way that takes CyberSIG - an
infrastructure service platform for digital city as a basis to
construct it. The open infrastructure makes resources from
different organizations necessary to decision making, for
example, data and models, are able to be integrated into the
system easily. As a result, with little difficulty, the DSS can be
extended to give supports to new emergencies.
On the other hand, a specific model base that comprises a series
of models for decision makings in different processes of
emergency management, for instance, emergency preparation
and response, is required. In general, incident prediction models,
transportation optimization models, logistics models and risk
evaluation models are typically involved in emergency
management. At present, besides some incident prediction
models, a number of basic transportation optimization models
are under development in the digital city laboratory of Peking
University.
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