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.
该项目增进了人们对卡斯卡迪亚俯冲带山洪和近场海啸等快速发生灾害的家庭反应的基本了解。具体来说,该项目将解决疏散研究中两个经常被忽视的基本问题。首先,尽管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,最近关于快速发生的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。这对交通研究人员造成了重大障碍,他们需要准确估计疏散人员进入疏散路线系统的时间相关率,因为时间对于海啸或内陆洪水幸存的可能性至关重要。其次,对于从山区海岸撤离人员的交通方式选择(车辆与步行)的研究很少,因为这两种交通方式都是可行的。交通方式的选择与家庭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的代表性居民样本进行行为期望调查来解决的。对参加海啸疏散演习的人员进行的调查是对行为期望调查的补充。来自这些来源的数据被集成到基于代理的疏散模型中。该项目将开发一个海啸交互式多点触控展览,以改变哈特菲尔德海洋科学中心网络学习实验室的危险素养教育。因此,这项科学研究贡献支持 NSF 的使命,即通过在海啸和山洪等快速发生的灾害发生之前确定家庭和社区疏散规划的关键需求,促进科学进步并以效益促进我们的国家福利。该项目整合了多个通过基于代理的跨学科建模框架,结合社会科学、灾害科学和工程学等学科,研究家庭对海啸和山洪等快速发生的灾害的反应。 研究目的是系统地将体验式疏散演习与先前关于克赖斯特彻奇、东北和美属萨摩亚人们对地震和海啸威胁的反应的研究进行比较,并辅以俄勒冈州海岸海啸疏散预期调查的数据。 这些数据将支撑经过验证的跨学科基于主体的建模框架,该框架可促进有关家庭应对迫在眉睫威胁的科学发现的理论理解和实际利用。具体来说,该项目将实现以下四个目标:(1)将体验式演练与实际赛事进行系统比较,找出不同之处; (2) 识别并验证促进或抑制保护行动实施的关键决策因素; (3) 描述海啸垂直疏散和计划外基础设施破坏的行为结果; (4) 建立体验式网络学习平台,加强海啸扫盲教育。 该项目的结果将为灾害规划者和管理者提供强有力的循证框架,以制定有效的疏散策略和疏散路线系统缓解计划。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以及可改善生命安全和社区复原力的措施的理解。该奖项反映了 NSF 的法定使命,并已通过使用基金会的智力优点和更广泛的影响审查标准进行评估,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)
Evacuation behavior of affected individuals and households in response to the 2018 Attica wildfires: From empirical data to models
受 2018 年阿提卡山火影响的个人和家庭的疏散行为:从经验数据到模型
- DOI:10.1016/j.ssci.2022.105799
- 发表时间:2022-09
- 期刊:
- 影响因子:6.1
- 作者:Katzilieris, Konstantinos;Vlahogianni, Eleni I.;Wang, Haizhong
- 通讯作者:Wang, Haizhong
Evolutionary game analysis of decision-making dynamics of local governments and residents during wildfires
山火期间地方政府和居民决策动态的演化博弈分析
- DOI:10.1016/j.ijdrr.2020.101991
- 发表时间:2020-12-08
- 期刊:
- 影响因子:0
- 作者:Wenqiang Shi;Haizhong Wang;Chen Chen;Z. Kong
- 通讯作者:Z. Kong
Emergency Warning Dissemination in a Multiplex Social Network
多元社交网络中的紧急警报传播
- DOI:10.18564/jasss.4946
- 发表时间:2023-01
- 期刊:
- 影响因子:0
- 作者:Koll, Charles;Lindell, Michael;Chen, Chen;Wang, Haizhong
- 通讯作者:Wang, Haizhong
A network-of-networks percolation analysis of cascading failures in spatially co-located road-sewer infrastructure networks
空间共置道路下水道基础设施网络中级联故障的网络渗透分析
- DOI:10.1016/j.physa.2019.122971
- 发表时间:2020-01-15
- 期刊:
- 影响因子:3.3
- 作者:Shangjia Dong;Haizhong Wang;Alireza Mostafizi;Xuan Song
- 通讯作者:Xuan Song
An interdisciplinary agent-based evacuation model: integrating the natural environment, built environment, and social system for community preparedness and resilience
基于主体的跨学科疏散模型:整合自然环境、建筑环境和社会系统,以实现社区准备和恢复力
- DOI:10.5194/nhess-23-733-2023
- 发表时间:2023-01
- 期刊:
- 影响因子:4.6
- 作者:Chen, Chen;Koll, Charles;Wang, Haizhong;Lindell, Michael K.
- 通讯作者:Lindell, Michael K.
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Haizhong Wang其他文献
The integration of logistics and marketing practice into baseline supply chain practices in the emerging markets
将物流和营销实践整合到新兴市场的基准供应链实践中
- DOI:
10.1108/jbim-01-2022-0002 - 发表时间:
2022-08-10 - 期刊:
- 影响因子:0
- 作者:
K. Dadzie;Charlene A. Dadzie;W. Johnston;Evelyn M. Winston;Haizhong Wang - 通讯作者:
Haizhong Wang
Factors affecting employee-based brand equity: Evidence from China
影响员工品牌资产的因素:来自中国的证据
- DOI:
10.32890/ijms.25.1.2018.10482 - 发表时间:
2017-12-13 - 期刊:
- 影响因子:0
- 作者:
T. Awan;Xialin Li;Haizhong Wang - 通讯作者:
Haizhong Wang
Scenario-Based Analysis of Transportation Impacts in Case of Dam Failure Flood Evacuation in Franklin County, Massachusetts
马萨诸塞州富兰克林县大坝溃决洪水疏散后的交通影响情景分析
- DOI:
- 发表时间:
2024-09-14 - 期刊:
- 影响因子:0
- 作者:
Haizhong Wang;S. Andrews;Daiheng Ni;J. Collura - 通讯作者:
J. Collura
Exposure of Global Rail and Road Infrastructures in Future Record‐Breaking Climate Extremes
全球铁路和公路基础设施面临未来创纪录的挑战——打破极端气候
- DOI:
10.1029/2023ef003632 - 发表时间:
2024-01-01 - 期刊:
- 影响因子:0
- 作者:
Qianzhi Wang;Kai Liu;Ming Wang;E. Koks;Haizhong Wang - 通讯作者:
Haizhong Wang
A Unified Perspective on Traffic Flow Theory, Part III: Validation and Benchmarking
交通流理论的统一视角,第三部分:验证和基准测试
- DOI:
10.1061/41186(421)422 - 发表时间:
2011-07-26 - 期刊:
- 影响因子:0
- 作者:
Daiheng Ni;Cheng;Haizhong Wang - 通讯作者:
Haizhong Wang
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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