01044188

Component

https://doi.org/10.3141/2022-01

http://scholar.google.com...Cheu&publication_year=2007

Optimal deployment of limited emergency resources in a large area is of interest to public agencies at all levels. In this paper, the problem of allocating limited emergency service vehicles including fire engines, fire trucks, and ambulances among a set of candidate stations is formulated as a mixed integer linear programming model, in which the objective is to maximize the service coverage of critical transportation infrastructure (CTI). On the basis of this model, the effects of demand at CTI nodes and of transportation network performance on the optimal coverage of CTI are studied. In addition, given a fixed total budget, the most efficient distribution of investment among the three types of emergency service vehicles is identified. To cope with the uncertainty involved in some of the model parameters such as traffic network performance, formulations based on various risk preferences are proposed. The concept of regret is applied to evaluate the robustness of proposed resource allocation strategies. The applicability of the proposed methodologies to high-density metropolitan areas is demonstrated through a case study that uses data from current practice in Singapore.

01088186

English

pp 1-8

2007

Transportation Research Record: Journal of the Transportation Research Board

9780309104494

Print

Figures (3) ; References (33) ; Tables (2)

Ambulances; Case studies; Disaster preparedness; Disasters and emergency operations; Emergency equipment; Emergency management; Emergency medical services; Emergency training; Emergency transportation; Emergency vehicles; Fire departments; Fire vehicles; Metropolitan areas; Resource allocation; Strategic planning

Transportation infrastructure

Singapore

Highways; Planning and Forecasting; Safety and Human Factors; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Feb 8 2007 4:36PM

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