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Authors: Evans Etrue Howard 1 ; Lorenza Pasquini 1 ; Claudio Arbib 1 ; Antinisca Di Marco 1 and Eliseo Clementini 2

Affiliations: 1 Department of Information Engineering, Computer Science, and Mathematics, University of L’Aquila, L’Aquila, Italy ; 2 Dept. of Industrial and Information Engineering and Economics, University of L’Aquila, L’Aquila, Italy

Keyword(s): GIS, Network, Graph, Disaster Management, Evacuation Planning, Optimization Model, Flow Model.

Abstract: Among the most serious natural disasters, earthquakes cause severe damages to infrastructures and building, can kill or injure thousands of humans and animals and, in the luckiest circumstances, just make people homeless destroying communities, habitats, economies and mental equilibrium. In order to minimise the loss of lives, an effective evacuation plan to cope with worldwide disasters is required. In this paper we describe a novel approach to timely formulate an evacuation plan of an area struck by an earthquake. The proposed solution leverages on a two-steps modeling framework: i) a method that extracts from enriched GIS data a network description of the area to be evacuated; ii) a dynamic optimization model that calculates the safest paths citizens should follow to reach pre-identified safe areas. While the network is computed off-line at design time, the optimization model, or one of its reductions, can be embedded in a real-time system that, recomputing it several times, can g uide citizen after a natural disaster even in case of high dynamic scenario. Our approach is demonstrated on a real study case: the medieval center of the Italian town of Sulmona, for which detailed GIS data with information on the urban structure and building vulnerability are available. (More)

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Paper citation in several formats:
Howard, E.; Pasquini, L.; Arbib, C.; Di Marco, A. and Clementini, E. (2021). Definition of an Enriched GIS Network for Evacuation Planning. In Proceedings of the 7th International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM; ISBN 978-989-758-503-6; ISSN 2184-500X, SciTePress, pages 241-252. DOI: 10.5220/0010452302410252

@conference{gistam21,
author={Evans Etrue Howard. and Lorenza Pasquini. and Claudio Arbib. and Antinisca {Di Marco}. and Eliseo Clementini.},
title={Definition of an Enriched GIS Network for Evacuation Planning},
booktitle={Proceedings of the 7th International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM},
year={2021},
pages={241-252},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010452302410252},
isbn={978-989-758-503-6},
issn={2184-500X},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM
TI - Definition of an Enriched GIS Network for Evacuation Planning
SN - 978-989-758-503-6
IS - 2184-500X
AU - Howard, E.
AU - Pasquini, L.
AU - Arbib, C.
AU - Di Marco, A.
AU - Clementini, E.
PY - 2021
SP - 241
EP - 252
DO - 10.5220/0010452302410252
PB - SciTePress