EAGER-SAI: Exploring Pathways of Adaptive Infrastructure Management with Rapidly Intensifying Hurricanes

EAGER-SAI：探索快速增强飓风的自适应基础设施管理途径

• 批准号: 2122135
• 负责人: Pallab Mozumder
• 金额: $ 30万
• 依托单位: Florida International University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2122135&HistoricalAwards=false
• 关键词: EAGER; SAI; Exploring; Pathways; Adaptive

Strengthening American Infrastructure (SAI) is an NSF Program seeking to stimulate human-centered fundamental and potentially transformative research that strengthens America’s infrastructure. Effective infrastructure provides a strong foundation for socioeconomic vitality and broad quality of life improvement. Strong, reliable, and effective infrastructure spurs private-sector innovation, grows the economy, creates jobs, makes public-sector service provision more efficient, strengthens communities, promotes equal opportunity, protects the natural environment, enhances national security, and fuels American leadership. To achieve these goals requires expertise from across the science and engineering disciplines. SAI focuses on how knowledge of human reasoning and decision making, governance, and social and cultural processes enables the building and maintenance of effective infrastructure that improves lives and society and builds on advances in technology and engineering.This SAI project is led by a team of investigators. Along with Pallab Mozumder, collaborators Nafisa Halim (Boston University) and Samiul Hasan (University of Central Florida) are co-leading research efforts. The focus of their SAI project is to improve understanding of emergent individual, social, and agency behaviors for evacuation traffic management during rapidly intensifying hurricanes (RIH). Extreme weather events (e.g., hurricanes, storm surges and flooding) threaten the status, sustainability and security of coastal communities. The drenching rains, gusty winds, and storm surges during a hurricane event force people to evacuate on short notice. Moreover, these events bring down power lines and trees, which in turn, disrupt critical infrastructure and utility services. Climate change is not only making hurricanes stronger, but also making them rapidly intensify and putting vulnerable populations at risk. In recent years, Atlantic hurricanes have shown unusual upward trends in rapid intensification (an increase of at least 35 miles/hour of windspeed in a 24-hour period) making critical infrastructure management more challenging during these extreme weather events. Concentrating on RIH, the project analyzes the dynamics of risk information processing and decision making to inform the design, development, improvisation, and overall evacuation management for critical transportation infrastructure. How infrastructure operators, emergency management personnel, and general public interact during coastal hazards, especially for evacuation during RIH, is critical for building resilient coastal communities. The insights from this project facilitate safer evacuations and help efficiently organize risk-averting behaviors during RIH.This SAI EAGER project develops a multidisciplinary, data intensive and integrated framework to explore the pathways of adaptive infrastructure (transportation) management with RIH. The project integrates individual and agency level perspectives of evacuation during RIH. To understand emergency management challenges from infrastructures perspectives, the research team analyzes existing data of hurricane evacuation and mobility patterns available from transportation systems databases and social media. To gain further insights on these key challenges, the research team is conducting interviews with infrastructure and emergency management personnel and other stakeholders. The project develops analytical and scenario-based models to evaluate best practices, both short-term and long-term, for addressing emerging infrastructure and mobility management challenges. The research explores potential avenues for scaling-up best practices relating to improvisation (short-term) and adaptation (long-term) in an effort to develop more resilient infrastructure within coastal communities. The project offers an innovative, active learning environment and gives priority to the disadvantaged and underrepresented communities.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.

加强美国基础设施(SAI)是一项NSF计划，旨在刺激以人类为中心的基础性研究和潜在的变革性研究，以加强美国的基础设施。有效的基础设施为社会经济活力和广泛的生活质量改善提供了坚实的基础。强大、可靠和有效的基础设施刺激私营部门创新，增长经济，创造就业机会，提高公共部门服务提供效率，加强社区力量，促进机会均等，保护自然环境，增强国家安全，推动美国的领导地位。要实现这些目标，需要来自科学和工程学科的专业知识。SAI专注于人类推理和决策、治理以及社会和文化过程的知识如何能够建立和维护有效的基础设施，以改善生活和社会，并建立在技术和工程进步的基础上。这个SAI项目由一个调查团队领导。与Pallab Mozumder一起，合作者Nafisa Halim(波士顿大学)和Samiul Hasan(中佛罗里达大学)共同领导研究工作。他们SAI项目的重点是提高对快速加强飓风(RIH)期间疏散交通管理的紧急个人、社会和机构行为的理解。极端天气事件(如飓风、风暴潮和洪水)威胁沿海社区的地位、可持续性和安全。飓风期间的倾盆大雨、阵风和风暴潮迫使人们在短时间内疏散。此外，这些事件会导致电线和树木倒塌，进而扰乱关键的基础设施和公用事业服务。气候变化不仅使飓风变得更强，而且还使其迅速加剧，并将脆弱人口置于危险之中。近年来，大西洋飓风在快速加强方面表现出不同寻常的上升趋势(24小时内风速至少增加35英里/小时)，这使得关键基础设施管理在这些极端天气事件中更具挑战性。该项目以RIH为重点，分析风险信息处理和决策的动态，为关键交通基础设施的设计、开发、即兴和全面疏散管理提供信息。基础设施运营商、应急管理人员和普通公众在沿海灾害期间如何互动，特别是在RIH期间的疏散，对于建立有弹性的沿海社区至关重要。来自该项目的见解促进了更安全的疏散，并有助于有效地组织RIH期间的风险规避行为。该SAI ENGER项目开发了一个多学科、数据密集型和集成的框架，以探索与RIH一起进行适应性基础设施(交通)管理的途径。该项目整合了RIH期间个人和机构层面的疏散视角。为了从基础设施角度了解应急管理挑战，研究小组分析了交通系统数据库和社交媒体提供的飓风疏散和流动模式的现有数据。为了进一步了解这些关键挑战，研究小组正在与基础设施和应急管理人员以及其他利益攸关方进行访谈。该项目开发分析性和基于情景的模型，以评估应对新出现的基础设施和移动性管理挑战的短期和长期最佳做法。这项研究探讨了扩大与即兴(短期)和适应(长期)有关的最佳做法的潜在途径，以努力在沿海社区内发展更具复原力的基础设施。该项目提供了一个创新的、积极的学习环境，并优先考虑弱势群体和代表性不足的社区。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势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

Estimating willingness to pay and costs associated with hurricane evacuation

估计与飓风疏散相关的支付意愿和成本

• DOI: 10.1016/j.trd.2023.103826
• 发表时间: 2023
• 期刊: Transportation Research Part D: Transport and Environment
• 作者: Jiang, Fan;Meng, Sisi;Khan, Mohammad;Halim, Nafisa;Mozumder, Pallab
• 通讯作者: Mozumder, Pallab

Spatial heterogeneity of preferences for sea-level rise adaptation: Empirical evidence from yearlong and seasonal residents in Florida

海平面上升适应偏好的空间异质性：来自佛罗里达州常年和季节性居民的经验证据

• DOI: 10.1016/j.crm.2023.100515
• 发表时间: 2023
• 期刊: Climate Risk Management
• 影响因子: 4.4
• 作者: Meng, Sisi;Mozumder, Pallab
• 通讯作者: Mozumder, Pallab

Departure Timing Preference during Extreme Weather Events: Evidence from Hurricane Evacuation Behavior

极端天气事件期间的出发时间偏好：飓风疏散行为的证据

• DOI: 10.1177/03611981211066901
• 发表时间: 2022
• 期刊: Transportation Research Record: Journal of the Transportation Research Board
• 作者: Jiang, Fan;Meng, Sisi;Halim, Nafisa;Mozumder, Pallab
• 通讯作者: Mozumder, Pallab