Evacuation Management System for Major Disasters

被引：3

作者：

Gonzalez-Villa, Javier ^{[1
]}

Cuesta, Arturo ^{[1
]}

Alvear, Daniel ^{[1
]}

Balboa, Adriana ^{[1
]}

机构：

[1] Univ Cantabria, Dept Transportes & Tecnol Proyectos & Proc, GIDAI Grp, Avda Castros, Santander 39005, Spain

来源：

APPLIED SCIENCES-BASEL | 2022年 / 12卷 / 15期

基金：

欧盟地平线“2020”;

关键词：

mass evacuation; disaster management; evacuation modelling; human behaviour; traffic modelling; routing; stochastic modelling; emergency response; BEHAVIOR; DESIGN;

D O I：

10.3390/app12157876

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

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).

引用

页数：14

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