RAPID: Collaborative Research: Multifaceted Data Collection on the Aftermath of the March 26, 2024 Francis Scott Key Bridge Collapse in the DC-Maryland-Virginia Area

这一快速反应研究(RAPID)赠款项目支持致力于全面和深入收集数据的研究，以分析马里兰州巴尔的摩弗朗西斯·斯科特大桥坍塌后的广泛社会后果。这座桥是I-695环城公路的一部分，缺乏方便的绕行选择。因此，它的倒塌导致了大范围的交通中断，不仅影响到了邻近地区，还影响了整个更广泛的华盛顿-马里兰州-弗吉尼亚州地区。该项目的目标是有条不紊地收集关于交通流量和社区在这一事件之后反应的时间敏感数据，提供对其影响的详细评估。此外，这一事件还给东海岸的货运和供应链带来了重大中断。鉴于货运模型依赖于偶尔从大宗商品调查、州报告和海关统计中收集的偶尔收集的数据，本研究旨在通过关键的卡车运输、海运、铁路和供应链数据收集的综合方法来填补这些空白。这些努力对于增强运输网络和供应链对未来中断的复原力至关重要。对于更广泛的受众，所有收集的数据将公开提供，同时仔细遵守隐私保护规则和现有的数据使用协议。通过分享详细的调查结果，促进更广泛地了解这一事件的影响，该项目旨在培养一个更知情、更有准备的社会，能够有效地应对重大基础设施故障带来的挑战及其对社区和经济的深远影响。马里兰州巴尔的摩的弗朗西斯·斯科特钥匙桥灾难性坍塌，由于缺乏方便的替代路线，导致整个城市交通网络严重中断，估计有3.4万人的日常通勤受到影响。此外，坍塌造成了相当大的后勤困难，特别是在巴尔的摩港，这是一个关键的国家和国际贸易节点。为该项目完成的研究旨在开发一种全面的数据收集方法，通过现有数据平台(例如，通勤、卡车运输、铁路和海上交通数据的增加以及社交媒体分析)、全面调查(例如，检查出行行为、社区影响和经济影响)和有针对性的访谈(例如，探索政府在物流网络中的反应和适应)纳入数据整合和增强。如果初步分析表明有必要，可以扩大数据收集的空间和时间范围，以全面评估桥梁坍塌的影响。该项目致力于提高数据透明度和实用性，采用复杂的文件和多样化的数据传播策略，包括开发专门的项目网站，利用NSF NHERI数据仓库进行数据存储和传播，举办研讨会以吸引广泛的利益相关者，并在主要交通、基础设施系统和灾难会议上展示数据架构。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。

This Rapid Response Research (RAPID) grant project supports research dedicated to a comprehensive and in-depth collection of data to analyze the extensive societal consequences following the Francis Scott Key Bridge collapse in Baltimore, Maryland. This bridge, being a part of the I-695 beltway, lacks convenient detour options. Thus, its collapse leads widespread disruptions in mobility that affected not just the immediate vicinity but also resonated throughout the broader DC-Maryland-Virginia region. The objective of this project is to methodically gather time-sensitive data on traffic flow and community responses in the wake of this event, providing a detailed assessment of its repercussions. Moreover, this incident also brings a major disruption to freight transportation and supply chains on the East Coast. Given the reliance of freight models on occasionally collected, often proprietary data from commodities surveys, state reports, and customs statistics, this study aims to fill these gaps through an integrated approach for critical trucking, maritime, rail, and supply-chain data collection. These efforts are essential for enhancing the resilience of transportation networks and supply chains against future disruptions. For a broader audience, all the collected data will be made publicly available while carefully following rules for privacy protection and existing data usage agreements. Through sharing detailed findings and facilitating a broader understanding of the incident’s impacts, this project aspires to foster a more informed and prepared society, capable of effectively navigating the challenges posed by major infrastructural failures and their far-reaching impacts on communities and economies.The catastrophic collapse of the Francis Scott Key Bridge in Baltimore, Maryland, has precipitated significant disruptions across urban transportation networks, due to the lack of convenient alternative routes, affecting daily commutes for an estimated 34,000 individuals. Moreover, the collapse introduced considerable logistical difficulties, particularly in the Port of Baltimore, a critical national and international trade node. Research completed for this project aims to develop a comprehensive data collection methodology, incorporating data integration and enhancement through existing data platforms (e.g., augmentations in commuting, trucking, rail, and marine traffic data alongside social media analytics), comprehensive surveys (e.g., examining travel behavior, community impact, and economic repercussions), and targeted interviews (e.g., exploring governmental responses and adaptations within the logistics network). Should initial analyses indicate a necessity, the spatial and temporal scope of data collection may be expanded to evaluate the impact of the bridge collapse comprehensively. This project is dedicated to improving data transparency and utility, employing elaborate documentation and a diversified strategy for data dissemination, including the development of a dedicated project website, utilization of the NSF NHERI Data Depot for data storage and dissemination, conducting workshops to engage a wide array of stakeholders, and presenting the data architecture at major transportation, infrastructure systems, and disaster conferences.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.