OR Spectrum
DOI 10.1007/s00291-016-0451-1
REGULAR ARTICLE
Macroscopic evacuation plans for natural disasters
A lexicographical approach for duration and safety criteria:
Lex((Q|S) Flow)
Ismaila Abderhamane Ndiaye
1
·
Emmanuel Neron
1
· Antoine Jouglet
2
Received: 13 November 2014 / Accepted: 27 May 2016
© Springer-Verlag Berlin Heidelberg 2016
Abstract Since the 1990s, problems regarding the evacuation of persons have been
extensively studied in the literature. The proposed models can be classified into
two main categories: macroscopic and microscopic models. The DSS_Evac_Logistic
project (2015, http://projets.li.univ-tours.fr/dssvalog/?lang=en) is interested in the
evacuation of people in the context of flooding, burning or seismic events for which
insecurity, capacity, and time to cross roads vary over time. We consider the problem
of large-scale evacuation of medium-sized cities, in situations where the evacuees
must change their place of residence for a period ranging from several days to several
months. As a part of this project, we assume as solved the problem of selecting a set
of starting points and shelter locations. We develop discrete macroscopic models and
methods that incorporate the risk and safety that are inherent in the context studied
for evacuating persons. The problem that needs to be addressed is to determine the
minimum overall evacuation time while minimizing the risk incurred by evacuees
(i.e., maximize the amount of unharmed persons). In this context, we first propose a
pseudopolynomial method, which is based on the shortest augmenting paths, without
using a time-expanded network to tackle the earliest arrival flow and the quickest
flow problems no-wait with time-dependent data. Then, we extend this approach to
consider the safety criterion.
B Ismaila Abderhamane Ndiaye
ismaila.ndiaye@univ-tours.fr
Emmanuel Neron
emmanuel.neron@univ-tours.fr
Antoine Jouglet
antoine.jouglet@hds.utc.fr
1
Université François-Rabelais de Tours, LI EA 6300, OC CNRS 6305, Tours, France
2
Université de Technologie de Compiègne, HEUDIASYC UMR CNRS 7253, Compiègne, France
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