American Society of Civil Engineers


Modeling Uncertainties in Emergency Service Resource Allocation


by Yongxi Huang, Ph.D., (Dept. of Civil and Environmental Engineering, Univ. of California, Davis, CA 95616.) and Yueyue Fan, (corresponding author), (Associate Professor, Dept. of Civil and Environmental Engineering, Univ. of California, Davis, CA 95616 E-mail: yyfan@ucdavis.edu)

Journal of Infrastructure Systems, Vol. 17, No. 1, March 2011, pp. 35-41, (doi:  http://dx.doi.org/10.1061/(ASCE)IS.1943-555X.0000040)

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Document type: Journal Paper
Abstract: The 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.


ASCE Subject Headings:
Emergency management
Facilities
Infrastructure
Location
Optimization
Singapore
Stochastic processes
Uncertainty principles

Author Keywords:
Facility location
Critical infrastructure protection
Emergency service allocation
Stochastic programming
Robust optimization