Evacuation Management System for Major Disasters
Source abstract
Abstract
Predicting and understanding mass evacuations are important factors in disaster management and response. Current modelling approaches are useful for planning but lack of real-time capabilities to help informed decisions as the disaster event evolves. To address this challenge, a real-time Evacuation Management System (EMS) is proposed here, following a stochastic approach and combining classical models of low complexity but high reliability. The EMS computes optimal assembly points and shelters and the related network of evacuation routes using GIS-based traffic, pedestrian and routing models including damaged assets or impassable areas. To test the proper operation performances of the EMS, we conducted a case study for the Gran Canaria wildfire (August 2019—Spain).
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Evacuation and Crowd Dynamics · Transportation Planning and Optimization · Facility Location and Emergency Management
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
GIDAI Group, Departamento de Transportes y Tecnología de Proyectos y Procesos, Universidad de Cantabria, Avda. Los Castros, 39005 Santander, Spain
Funding
European Union’s H2020 research and innovation programme
References (40)
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