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contributor authorYongxi Huang
contributor authorYueyue Fan
date accessioned2017-05-08T21:53:39Z
date available2017-05-08T21:53:39Z
date copyrightMarch 2011
date issued2011
identifier other%28asce%29is%2E1943-555x%2E0000071.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/65626
description abstractThe problem of allocating multiple emergency service resources to protect critical transportation infrastructures is studied in this paper. Different modeling approaches, including deterministic, stochastic programming, and robust optimization, are used to model various risk preferences in decision making under uncertain service availability and accessibility. Singapore is used as a case study for numerical experiments. The performances of different models are compared in terms of allocation strategies and the reliability and robustness of the system.
publisherAmerican Society of Civil Engineers
titleModeling Uncertainties in Emergency Service Resource Allocation
typeJournal Paper
journal volume17
journal issue1
journal titleJournal of Infrastructure Systems
identifier doi10.1061/(ASCE)IS.1943-555X.0000040
treeJournal of Infrastructure Systems:;2011:;Volume ( 017 ):;issue: 001
contenttypeFulltext


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