Exploring multi-modal evacuation strategies for a landlocked population using large-scale agent-based simulations
Kevin Chapuis
(1)
,
Pham Minh-Duc
(2, 3)
,
Arthur Brugière
(2, 3)
,
Jean-Daniel Zucker
(2)
,
Alexis Drogoul
(2, 3)
,
Pierrick Tranouez
(4, 5)
,
Éric Daudé
(6)
,
Patrick Taillandier
(7, 2, 3)
1
UMR 228 Espace-Dev, Espace pour le développement
2 UMMISCO - Unité de modélisation mathématique et informatique des systèmes complexes [Bondy]
3 Thuyloi University
4 App - LITIS - Equipe Apprentissage
5 UNIROUEN - Université de Rouen Normandie
6 IDEES - Identité et Différenciation de l’Espace, de l’Environnement et des Sociétés
7 MIAT INRAE - Unité de Mathématiques et Informatique Appliquées de Toulouse
2 UMMISCO - Unité de modélisation mathématique et informatique des systèmes complexes [Bondy]
3 Thuyloi University
4 App - LITIS - Equipe Apprentissage
5 UNIROUEN - Université de Rouen Normandie
6 IDEES - Identité et Différenciation de l’Espace, de l’Environnement et des Sociétés
7 MIAT INRAE - Unité de Mathématiques et Informatique Appliquées de Toulouse
Kevin Chapuis
- Fonction : Auteur
- PersonId : 1098758
- IdHAL : chapuis-kevin
Arthur Brugière
- Fonction : Auteur
- PersonId : 1121669
Alexis Drogoul
- Fonction : Auteur
- PersonId : 835360
- ORCID : 0000-0002-9685-9199
- IdRef : 050528041
Patrick Taillandier
- Fonction : Auteur
- PersonId : 735769
- IdHAL : patrick-taillandier
- ORCID : 0000-0003-2939-4827
- IdRef : 139610448
Résumé
At a time when the impacts of climate change and increasing urbanization are making risk management more complex, there is an urgent need for tools to better support risk managers. One approach increasingly used in crisis management is preventive mass evacuation. However, to implement and evaluate the effectiveness of such strategy can be complex, especially in large urban areas. Modeling approaches, and in particular agent-based models, are used to support implementation and to explore a large range of evacuation strategies, which is impossible through drills. One major limitation with simulation of traffic based on individual mobility models is their capacity to reproduce a context of mixed traffic. In this paper, we propose an agent-based model with the capacity to overcome this limitation. We simulated and compared different spatio-temporal evacuation strategies in the flood-prone landlocked area of the Phúc Xá district in Hanoi. We demonstrate that the interaction between distribution of transport modalities and evacuation strategies greatly impact evacuation outcomes. More precisely, we identified staged strategies based on the proximity to exit points that make it possible to reduce time spent on road and overall evacuation time. In addition, we simulated improved evacuation outcomes through selected modification of the road network.
Domaines
Géographie Géographie Risques Risques Modélisation et simulation Modélisation et simulationFormat du dépôt | Fichier |
---|---|
Type de dépôt | Article dans une revue |
Résumé |
en
At a time when the impacts of climate change and increasing urbanization are making risk management more complex, there is an urgent need for tools to better support risk managers. One approach increasingly used in crisis management is preventive mass evacuation. However, to implement and evaluate the effectiveness of such strategy can be complex, especially in large urban areas. Modeling approaches, and in particular agent-based models, are used to support implementation and to explore a large range of evacuation strategies, which is impossible through drills. One major limitation with simulation of traffic based on individual mobility models is their capacity to reproduce a context of mixed traffic. In this paper, we propose an agent-based model with the capacity to overcome this limitation. We simulated and compared different spatio-temporal evacuation strategies in the flood-prone landlocked area of the Phúc Xá district in Hanoi. We demonstrate that the interaction between distribution of transport modalities and evacuation strategies greatly impact evacuation outcomes. More precisely, we identified staged strategies based on the proximity to exit points that make it possible to reduce time spent on road and overall evacuation time. In addition, we simulated improved evacuation outcomes through selected modification of the road network.
|
Titre |
en
Exploring multi-modal evacuation strategies for a landlocked population using large-scale agent-based simulations
|
Auteur(s) |
Kevin Chapuis
1
, Pham Minh-Duc
2, 3
, Arthur Brugière
2, 3
, Jean-Daniel Zucker
2
, Alexis Drogoul
2, 3
, Pierrick Tranouez
4, 5
, Éric Daudé
6
, Patrick Taillandier
7, 2, 3
1
UMR 228 Espace-Dev, Espace pour le développement
( 1100724 )
- IRD - Maison de la Télédétection - 500 rue Jean-François Breton - 34093 Montpellier
- France
2
UMMISCO -
Unité de modélisation mathématique et informatique des systèmes complexes [Bondy]
( 541946 )
- IRD France Nord - 32 avenue Henri Varagnat - 93143 Bondy cedex
- France
3
Thuyloi University
( 534087 )
- Viêt Nam
4
App - LITIS -
Equipe Apprentissage
( 1088711 )
- France
5
UNIROUEN -
Université de Rouen Normandie
( 300318 )
- 1, rue Thomas Becket 76821 Mont-Saint-Aignan Cedex
- France
6
IDEES -
Identité et Différenciation de l’Espace, de l’Environnement et des Sociétés
( 97036 )
- 7 Rue Thomas Becket 76821 Mont-Saint-Aignan Cedex
- France
7
MIAT INRAE -
Unité de Mathématiques et Informatique Appliquées de Toulouse
( 1002385 )
- Chemin de Borde Rouge, 31320 Castanet Tolosan
- France
|
Sous-type de document pour les Articles |
Research article
|
Date de publication |
2022
|
Date de publication électronique |
2022-05-16
|
Langue du document |
Anglais
|
Nom de la revue |
|
Vulgarisation |
Non
|
Comité de lecture |
Oui
|
Audience |
Internationale
|
Volume |
36
|
Numéro |
9
|
Page/Identifiant |
1741-1783
|
Public visé |
Scientifique
|
Domaine(s) |
|
Financement |
|
Projet(s) ANR |
|
Mots-clés |
en
Agent-based simulation, Evacuation policy, Risk context, Traffic model, Urban area
|
DOI | 10.1080/13658816.2022.2069774 |
UT key WOS | 000796413100001 |
Origine :
Fichiers produits par l'(les) auteur(s)
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