Evacuation Management System for Major Disasters
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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-08-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/12/15/7876 |
| _version_ | 1797442725296996352 |
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| author | Javier González-Villa Arturo Cuesta Daniel Alvear Adriana Balboa |
| author_facet | Javier González-Villa Arturo Cuesta Daniel Alvear Adriana Balboa |
| author_sort | Javier González-Villa |
| collection | DOAJ |
| description | 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). |
| first_indexed | 2024-03-09T12:46:08Z |
| format | Article |
| id | doaj.art-bb09eccde17e4253ab846e510b60509a |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T12:46:08Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-bb09eccde17e4253ab846e510b60509a2023-11-30T22:12:01ZengMDPI AGApplied Sciences2076-34172022-08-011215787610.3390/app12157876Evacuation Management System for Major DisastersJavier González-Villa0Arturo Cuesta1Daniel Alvear2Adriana Balboa3GIDAI Group, Departamento de Transportes y Tecnología de Proyectos y Procesos, Universidad de Cantabria, Avda. Los Castros, 39005 Santander, SpainGIDAI Group, Departamento de Transportes y Tecnología de Proyectos y Procesos, Universidad de Cantabria, Avda. Los Castros, 39005 Santander, SpainGIDAI Group, Departamento de Transportes y Tecnología de Proyectos y Procesos, Universidad de Cantabria, Avda. Los Castros, 39005 Santander, SpainGIDAI Group, Departamento de Transportes y Tecnología de Proyectos y Procesos, Universidad de Cantabria, Avda. Los Castros, 39005 Santander, SpainPredicting 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).https://www.mdpi.com/2076-3417/12/15/7876mass evacuationdisaster managementevacuation modellinghuman behaviourtraffic modellingrouting |
| spellingShingle | Javier González-Villa Arturo Cuesta Daniel Alvear Adriana Balboa Evacuation Management System for Major Disasters Applied Sciences mass evacuation disaster management evacuation modelling human behaviour traffic modelling routing |
| title | Evacuation Management System for Major Disasters |
| title_full | Evacuation Management System for Major Disasters |
| title_fullStr | Evacuation Management System for Major Disasters |
| title_full_unstemmed | Evacuation Management System for Major Disasters |
| title_short | Evacuation Management System for Major Disasters |
| title_sort | evacuation management system for major disasters |
| topic | mass evacuation disaster management evacuation modelling human behaviour traffic modelling routing |
| url | https://www.mdpi.com/2076-3417/12/15/7876 |
| work_keys_str_mv | AT javiergonzalezvilla evacuationmanagementsystemformajordisasters AT arturocuesta evacuationmanagementsystemformajordisasters AT danielalvear evacuationmanagementsystemformajordisasters AT adrianabalboa evacuationmanagementsystemformajordisasters |