Collaborative Research: Understanding Evacuation Behavior for Rapid Onset Disasters such as Flash Floods and Tsunamis in the Cascadia Subduction Zone
合作研究:了解卡斯卡迪亚俯冲带山洪和海啸等快速发生的灾害的疏散行为
基本信息
- 批准号:1826407
- 负责人:
- 金额:$ 32.59万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-09-15 至 2022-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This project advances the fundamental understanding of household responses to rapid onset disasters such as flash floods and near-field tsunamis in the Cascadia Subduction Zone. Specifically, this project will address two often-neglected fundamental issues in evacuation research. First, although there has been extensive research on evacuation rates and the factors that affect household evacuation decisions, there has been little research on evacuation logistics. In particular, recent research on evacuations from rapid onset disasters has revealed that few studies have addressed the timing of warning diffusion and household mobilization, let alone the predictors of these variables. This poses a significant impediment to transportation researchers who require accurate estimates of the time dependent rates at which evacuees enter the evacuation route system because time is critical to the likelihood of surviving tsunami waves or inland flooding. Second, there has been little research on evacuees' transportation mode choices (vehicular vs. pedestrian) from mountainous coasts where both modes are feasible. Transportation mode choice is closely related to households' choice of evacuation routes and destinations. These issues are addressed by conducting a behavioral expectations survey of a representative sample of residents in three communities on the Oregon coast. The behavioral expectations survey is supplemented by surveys of people who participate in tsunami evacuation drills. Data from these sources are integrated into an agent-based evacuation model. This project will develop a tsunami interactive multi-touch exhibit to transform hazard literacy education at the Hatfield Marine Science Center Cyber-Learning Laboratory. This scientific research contribution thus supports NSF's mission to promote the progress of science and to advance our national welfare with benefits by identifying critical needs for household and community evacuation planning in advance of rapid onset disasters such as tsunamis and flash floods.This project integrates the multiple disciplines of social science, hazard science, and engineering through an interdisciplinary agent-based modeling framework to investigate household's response to rapid onset disasters such as tsunamis and flash floods. The research objective is to systematically compare experiential evacuation drills to prior research on people's responses to the earthquakes and tsunami threat in Christchurch, Tohoku, and American Samoa, complemented by data from a tsunami evacuation expectations survey on the Oregon coast. These data will underpin a validated interdisciplinary agent-based modeling framework that advances the theoretical understanding and practical utilization of scientific findings regarding household response to imminent threats. Specifically, this project will achieve the following four objectives: (1) conduct systematic comparisons of experiential drills to actual events to uncover ways they differ; (2) identify and validate the critical decision-making factors that facilitate or inhibit the implementation of protective actions; (3) characterize the behavioral outcomes of tsunami vertical evacuation and unplanned infrastructure disruptions; and (4) establish an experiential cyberlearning platform to enhance tsunami literacy education. The results from this project will provide disaster planners and managers with a strong evidence-based framework to create effective evacuation strategies and evacuation route system mitigation plans. This project will also underpin improved understanding by STEM students, policy makers and planners, agency/industry professionals, and the general public, of tsunamis and measures that can lead to improved life safety and community resilience.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
该项目促进了对家庭应对卡斯卡迪亚俯冲带山洪暴发和近场海啸等突发灾害的基本认识。具体而言,本项目将解决疏散研究中经常被忽视的两个基本问题。首先,虽然人们对疏散率和影响家庭疏散决策的因素进行了广泛的研究,但对疏散物流的研究却很少。特别是,最近对突发灾害疏散的研究表明,很少有研究涉及警报传播和家庭动员的时间,更不用说这些变量的预测因素了。这对运输研究人员造成了重大障碍,因为他们需要准确估计撤离人员进入疏散路线系统的时间依赖率,因为时间对海啸波或内陆洪水的生存可能性至关重要。其次,很少有研究疏散的交通方式选择(汽车与行人)从山区海岸,这两种模式都是可行的。交通方式的选择与住户对疏散路线和目的地的选择密切相关。这些问题是通过对俄勒冈州海岸三个社区居民的代表性样本进行行为预期调查来解决的。行为期望调查还得到了对参加海啸疏散演习的人们的调查的补充。来自这些来源的数据被集成到一个基于代理的疏散模型。该项目将开发一个海啸互动多点触摸展览,以改变哈特菲尔德海洋科学中心网络学习实验室的灾害知识教育。这一科学研究贡献因此支持了NSF的使命,即通过在海啸和山洪暴发等快速发生的灾害之前确定家庭和社区疏散规划的关键需求,促进科学的进步,并促进我们的国家福利。和工程通过一个跨学科的代理为基础的建模框架,以调查家庭的反应迅速发生的灾害,如海啸和山洪暴发。 本研究的目的是系统地比较经验疏散演习的人的反应,地震和海啸威胁在基督城,东北,和美属萨摩亚,辅以数据从海啸疏散预期调查的俄勒冈州海岸的先前研究。 这些数据将支持一个经过验证的跨学科基于代理的建模框架,该框架将推进对家庭应对迫在眉睫的威胁的科学发现的理论理解和实际利用。具体而言,本项目将实现以下四个目标:(1)对经验演习与实际事件进行系统比较,以揭示它们的不同之处;(2)识别和验证促进或抑制实施保护行动的关键决策因素;(3)描述海啸垂直疏散和计划外基础设施中断的行为结果;及(4)建立一个体验式网上学习平台,以加强海啸识字教育。 该项目的成果将为灾害规划人员和管理人员提供一个强有力的循证框架,以制定有效的疏散战略和疏散路线系统减灾计划。该项目还将加强STEM学生、政策制定者和规划者、机构/行业专业人士以及公众对海啸的理解,以及可以改善生命安全和社区复原力的措施。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(15)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
An interdisciplinary agent-based multimodal wildfire evacuation model: Critical decisions and life safety
基于跨学科代理的多模式野火疏散模型:关键决策和生命安全
- DOI:10.1016/j.trd.2021.103147
- 发表时间:2022
- 期刊:
- 影响因子:0
- 作者:Siam, M.R.K.;Wang, Haizhong;Lindell, Michael K.;Chen, Chen;Vlahogianni, Eleni I.;Axhausen, Kay
- 通讯作者:Axhausen, Kay
An agent-based vertical evacuation model for a near-field tsunami: Choice behavior, logical shelter locations, and life safety
- DOI:10.1016/j.ijdrr.2018.12.018
- 发表时间:2019-03-01
- 期刊:
- 影响因子:5
- 作者:Mostafizi, Alireza;Wang, Haizhong;Dong, Shangjia
- 通讯作者:Dong, Shangjia
Evolutionary game analysis of decision-making dynamics of local governments and residents during wildfires
- DOI:10.1016/j.ijdrr.2020.101991
- 发表时间:2021-02-01
- 期刊:
- 影响因子:5
- 作者:Shi, Wenqiang;Wang, Haizhong;Kong, Zhaojun
- 通讯作者:Kong, Zhaojun
Evacuation behavior of affected individuals and households in response to the 2018 Attica wildfires: From empirical data to models
- DOI:10.1016/j.ssci.2022.105799
- 发表时间:2022-05-06
- 期刊:
- 影响因子:6.1
- 作者:Katzilieris, Konstantinos;Vlahogianni, Eleni I.;Wang, Haizhong
- 通讯作者:Wang, Haizhong
An interdisciplinary agent-based evacuation model: integrating the natural environment, built environment, and social system for community preparedness and resilience
- DOI:10.5194/nhess-23-733-2023
- 发表时间:2023-02-21
- 期刊:
- 影响因子:4.6
- 作者:Chen, Chen;Koll, Charles;Lindell, Michael K.
- 通讯作者:Lindell, Michael K.
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Haizhong Wang其他文献
Characterisation of the impacts of autonomous driving on highway capacity in a mixed traffic environment: an agent‐based approach
混合交通环境中自动驾驶对高速公路通行能力影响的表征:基于代理的方法
- DOI:
10.1049/iet-its.2019.0285 - 发表时间:
2020 - 期刊:
- 影响因子:2.7
- 作者:
Harith Abdulsattar;M. Siam;Haizhong Wang - 通讯作者:
Haizhong Wang
An Emerging Theory of Avatar Marketing
阿凡达营销的新兴理论
- DOI:
10.1177/0022242921996646 - 发表时间:
2021 - 期刊:
- 影响因子:12.9
- 作者:
Fred Miao;Irina V. Kozlenkova;Haizhong Wang;Tao Xie;Robert W. Palmatier - 通讯作者:
Robert W. Palmatier
Collaborative multi-depot logistics network design with time window assignment
时间窗分配的协同多站点物流网络设计
- DOI:
10.1016/j.eswa.2019.112910 - 发表时间:
2020-02 - 期刊:
- 影响因子:8.5
- 作者:
Wang Yong;Shuanglu Zhang;Xiangyang Guan;Shouguo Peng;Haizhong Wang;Yong Liu;Maozeng Xu - 通讯作者:
Maozeng Xu
Using bicycle app data to develop Safety Performance Functions (SPFs) for bicyclists at intersections: A generic framework
使用自行车应用程序数据为十字路口的骑自行车者开发安全性能功能 (SPF):通用框架
- DOI:
- 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
Chen Chen;Haizhong Wang;J. Roll;K. Nordback;Yinhai Wang - 通讯作者:
Yinhai Wang
The moderating role of dialecticism in consumer responses to product information
- DOI:
doi:10.1016/j.jcps.2015.10.003 - 发表时间:
2016 - 期刊:
- 影响因子:
- 作者:
Haizhong Wang;Rajeev Batra;Zengxiang Chen - 通讯作者:
Zengxiang Chen
Haizhong Wang的其他文献
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{{ truncateString('Haizhong Wang', 18)}}的其他基金
Collaborative Research: Household Response to Wildfire – Integrating Behavioral Science and Evacuation Modeling to Improve Community Wildfire Resilience
合作研究:家庭对野火的反应 — 整合行为科学和疏散模型以提高社区野火的抵御能力
- 批准号:
2230595 - 财政年份:2023
- 资助金额:
$ 32.59万 - 项目类别:
Standard Grant
RAPID/Collaborative Research: Integrated Sociotechnical Investigations of the Compounding Impacts of Maui Wildfires fueled by Hurricane Dora
快速/协作研究:对飓风多拉引发的毛伊岛野火的复合影响进行综合社会技术调查
- 批准号:
2345643 - 财政年份:2023
- 资助金额:
$ 32.59万 - 项目类别:
Standard Grant
SCC-CIVIC-PG Track B: Knowledge-to-Action: Enhance Community Disaster Preparedness and Resiliency through Physical and Virtual Drills
SCC-CIVIC-PG 轨道 B:知识到行动:通过实体和虚拟演习增强社区备灾能力和复原力
- 批准号:
2044098 - 财政年份:2021
- 资助金额:
$ 32.59万 - 项目类别:
Standard Grant
CoPe Conference: International Symposium on Interdisciplinary Evacuation Modeling for Rapid Onset Disasters: Corvallis, OR - Summer 2020
CoPe 会议:快速发生灾害跨学科疏散建模国际研讨会:俄勒冈州科瓦利斯 - 2020 年夏季
- 批准号:
1940345 - 财政年份:2019
- 资助金额:
$ 32.59万 - 项目类别:
Standard Grant
RAPID: Local Residents' Responses to the 2018 Indonesia Earthquake and Tsunami
RAPID:当地居民对 2018 年印度尼西亚地震和海啸的反应
- 批准号:
1902888 - 财政年份:2018
- 资助金额:
$ 32.59万 - 项目类别:
Standard Grant
An Integrated Social Science and Agent-based Modeling Approach to Improve Life Safety from Near-field Tsunami Hazards
综合社会科学和基于主体的建模方法,以提高近场海啸灾害的生命安全
- 批准号:
1563618 - 财政年份:2016
- 资助金额:
$ 32.59万 - 项目类别:
Standard Grant
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