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Resource allocation and uncertainty when modeling infrastructure networks as socio-technical systems

International Conference on Applications of Statistics and Probability (12th : 2015 : Vancouver, B.C.)

This paper is in the context of risk-informed decision support and modeling infrastructure networks as socio-technical systems. The previously introduced Complex Distributed Agent Network Framework (CoDAN) framework is reviewed and several sources of uncertainty identified, along with possible paths to overcome it in future research. One key problem is addressed, regarding the selection of a decision horizon when engaging in resource allocation for disaster preparedness and its impact on the ratio of installation costs and displacement costs. Three optimization formulations are presented and compared for the resource allocation problem, considering several decision horizons. Results prove the computational efficiency of the proposed formulations and the effect of different decision horizons, which lead to diverse allocation schemes.

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This collection contains the proceedings of ICASP12, the 12th International Conference on Applications of Statistics and Probability in Civil Engineering held in Vancouver, Canada on July 12-15, 2015. Abstracts were peer-reviewed and authors of accepted abstracts were invited to submit full papers. Also full papers were peer reviewed. The editor for this collection is Professor Terje Haukaas, Department of Civil Engineering, UBC Vancouver.

Vancouver : University of British Columbia Library

10.14288/1.0076233

Non UBC

Unreviewed

http://creativecommons.org/licenses/by-nc-nd/2.5/ca/