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

RAPID：开发交互式仪表板，用于收集和管理 2024 年 3 月 26 日 Francis Scott Key 大桥倒塌后的交通数据

• 批准号: 2426947
• 负责人: Zhiwei Chen
• 金额: $ 5万
• 依托单位: Drexel University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-04-15 至 2025-03-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2426947&HistoricalAwards=false
• 关键词: RAPID; Developing; Interactive; Dashboard; Collecting

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.

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对运输基础设施如何影响短期和长期影响旅行行为的广泛理解。这些知识将有助于运输计划者和工程师制定旨在减少未来基础设施故障影响的策略和政策，从而增强紧急响应协议并促进弹性运输网络。仪表板将为公众和政府机构提供适应其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作用。此外，为了扩大参与，该项目将积极寻求通过在本科和研究生级别中参与代表性不足的少数族裔学生，通过吸引学生的本科研究课程和Drexel University的夏季STEM课程。该项目将在弗朗西斯·斯科特（Francis Scott）钥匙桥崩溃期间和之后收集本地和区域交通数据，并使用多个可公开的数据课程收集。多尺度抽样方法将用于调和大规模数据收集的需求和对效率的需求。具体而言，将在巴尔的摩和附近的马里兰州的安妮·阿伦德尔和霍华德等县收集整个道路网络的链接级交通数据，而仅在马里兰州的哈福德县等更广阔地区的主要动脉路线和高速公路上收集数据。除了该项目的生命周期之外，数据集还将继续使学术界受益，从而使研究人员可以研究运输基础设施失败的交通适应。此外，当将来发生类似的灾难时，仪表板将成为可重复使用的工具，以便将来发生类似的灾难，这将大大改善个人和政府机构的响应时间，通过提供及时的信息。这项奖项反映了NSF的法定任务，并通过评估该基金会的知识分子功能和广泛的影响来评估NSF的法定任务。