Your institution may have access to this item. Find your institution then sign in to continue.

Title: Evacuation Planning with Endogenous Transportation Network Degradations: A Stochastic Cell-Based Model and Solution Procedure.
Authors: Li, Jian; Ozbay, Kaan
Abstract: Capturing the impact of uncertain events in emergency evacuation time estimation is an important issue for public officials to avoid unexpected delays and related losses of life and property. However, most of the current studies in evacuation planning only focus on exogenous uncertainties, such as flooding damage in a hurricane, but ignore uncertainties caused by endogenously determined risks, or so called flow-related risks. This paper proposes an analytical framework along with an efficient solution methodology to evaluate the impact of endogenously determined risks in order to estimate evacuation time. We incorporate the probability function of endogenously determined risks in a cell-based macroscopic evacuation model. A network flow algorithm based on the sample average approximation approach is used as part of the solution procedure. Finally, a sample network is used to demonstrate the salient features of the proposed stochastic model and solution procedure.
Subjects: EMERGENCY transportation; TRANSPORTATION planning; PUBLIC officers; STOCHASTIC models; TRAFFIC flow; APPROXIMATION theory
Publication: Networks & Spatial Economics, 2015, Vol 15, Issue 3, p677
ISSN: 1566-113X
Publication type: Academic Journal
DOI: 10.1007/s11067-014-9241-y

We found a match

Evacuation Planning with Endogenous Transportation Network Degradations: A Stochastic Cell-Based Model and Solution Procedure.