RAPID: Developing an Interactive Dashboard for Collecting and Curating Traffic Data after the March 26, 2024 Francis Scott Key Bridge Collapse

这项快速反应研究拨款(RAPID)奖将支持创建一个集中的、互动的在线仪表盘，用于收集和管理2024年3月26日弗朗西斯·斯科特关键大桥坍塌期间和之后巴尔的摩及其周围的交通数据。尽管眼下的焦点是马里兰州巴尔的摩弗朗西斯·斯科特钥匙桥坍塌的后果，但调查结果预计将产生超出这一特定事件的洞察力，有助于更广泛地理解交通基础设施中断如何在短期和长期影响出行行为。这些知识将帮助交通规划者和工程师制定战略和政策，旨在减少未来基础设施故障的影响，增强应急响应协议，并培养有弹性的交通网络。该仪表盘将为公众和政府机构提供他们调整行为所需的关键信息。研究活动将纳入本科和研究生课程，以促进研究和教育的协同效应。此外，为了扩大参与，该项目将通过德雷克塞尔大学的本科生研究课程和暑期STEM课程吸引学生，积极争取在本科生和研究生两个层面上吸纳代表不足的少数族裔学生。该项目将使用多个公开可用的数据课程，收集弗朗西斯·斯科特关键大桥坍塌期间和之后的当地和地区交通数据。将使用多尺度抽样方法来调和大规模数据收集的需要和对效率的要求。具体地说，整个公路网的链路级交通数据将收集在巴尔的摩和附近的县，如马里兰州的安妮·阿伦德尔和霍华德，而只收集更广泛地区的主要干道和高速公路的数据，如马里兰州的哈福德县。在这个项目的生命周期之后，该数据集将继续造福于学术界，使研究人员能够研究交通对交通基础设施故障的适应。此外，当未来发生类似灾难时，仪表板将成为未来数据收集和管理工作的可重复使用的工具，通过提供及时的信息，这将大大改善个人和政府机构的反应时间。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 Grants for Rapid Response Research (RAPID) award will support research that will create a centralized, interactive online dashboard for collecting and curating traffic data in and around Baltimore, during and after the Francis Scott Key Bridge collapse on March 26, 2024. Although the immediate focus is on the aftermath of the Francis Scott Key Bridge collapse in Baltimore, Maryland, the findings are expected to yield insights that extend beyond this specific event, contributing to a broader understanding of how transportation infrastructure disruptions influence travel behaviors in both short and long term. This knowledge will aid transportation planners and engineers in devising strategies and policies aimed at reducing the impacts of future infrastructure failures, enhancing emergency response protocols and fostering resilient transportation networks. The dashboard will offer the public and government agencies critical information that they need to adapt their behaviors. Research activities will be incorporated into undergraduate and graduate courses to promote the synergy of research and education. Further, to broaden participation, this project will actively seek to involve under-represented minority students at both the undergraduate and graduate levels by attracting students through an undergraduate-level research course and a summer STEM program at Drexel University. This project will collect both local and regional traffic data during and after the Francis Scott Key Bridge collapse, using multiple publicly available data courses. A multi-scale sampling method will be used to reconcile the need for large-scale data collection and the demand for efficiency. Specifically, link-level traffic data for the entire road network will be collected in Baltimore and nearby counties like Anne Arundel and Howard in Maryland, while data will only be collected for major arterial routes and highways in broader regions such as Harford County in the State of Maryland. Beyond the life cycle of this project, the dataset will continue to benefit the academic community, allowing researchers to study traffic adaptation to transportation infrastructure failures. Additionally, the dashboard will become a reusable tool for future data collection and curation efforts when similar disasters happen in the future, which would much improve the response time of individuals and government agencies by offering timely information.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.