Augmenting the Social Vulnerability Index using an agent-based simulation of Hurricane Harvey

被引：2

作者：

Brower, Anna E. ^{[1
]}

Ramesh, Balaji ^{[2
]}

Islam, Kazi Ashik ^{[1
]}

Mortveit, Henning S. ^{[1
]}

Hoops, Stefan ^{[1
]}

Vullikanti, Anil ^{[1
]}

Marathe, Madhav, V ^{[1
]}

Zaitchik, Benjamin ^{[3
]}

Gohlke, Julia M. ^{[2
]}

Swarup, Samarth ^{[1
,4
]}

机构：

[1] Univ Virginia, Charlottesville, VA 22904 USA

[2] Virginia Tech, Blacksburg, VA USA

[3] Johns Hopkins Univ, Baltimore, MD USA

[4] Univ Virginia, Biocomplex Inst & Initiat, POB 400298, Charlottesville, VA 22904 USA

来源：

COMPUTERS ENVIRONMENT AND URBAN SYSTEMS | 2023年 / 105卷

基金：

美国国家航空航天局; 美国国家科学基金会;

关键词：

Social Vulnerability Index; Hurricane Harvey; Evacuation; Agent-based simulation; DEEP LEARNING APPROACH; PREDICTION; RISK; BEHAVIOR; HAZARDS;

D O I：

10.1016/j.compenvurbsys.2023.102020

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this work, an agent-based model (ABM) of population evacuation during Hurricane Harvey is developed. The ABM integrates data from several sources, including data about physical conditions, population demographics, and geography. This simulation is then used to compute multiple measures of exposures to hazards for the population. Outputs from the ABM are then evaluated by adding computed measures to a statistical model associating flood exposure to emergency department visits. Finally, the flooding exposure duration measure is used to augment the CDC/ATSDR Social Vulnerability Index.

引用

页数：11

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