SCC-IRG Track 1: Preparing for Future Pandemics: Subway Crowd Management to Minimize Airborne Transmission of Respiratory Viruses (Way-CARE)

SCC-IRG 第 1 轨道：为未来的流行病做好准备：地铁人群管理以最大限度地减少呼吸道病毒的空气传播 (Way-CARE)

• 批准号: 2218809
• 负责人: Xuan Di
• 金额: $ 250万
• 依托单位: Columbia University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-01-01 至 2026-12-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2218809&HistoricalAwards=false
• 关键词: SCC; IRG; Track; Preparing; Future

This Smart and Connected Communities (S&CC) project focuses on strengthening the preparedness and resilience of transit communities facing public health disasters through the development of a sociotechnical system for crowd management. Following the substantial drop in public transportation ridership across the globe during the pandemic, how can subway systems respond to and recover from a future pandemic? Mass transit, especially subways, are essential to the economic viability and environmental sustainability of cities. This research will elevate U.S. leadership and economic competitiveness in recovery from pandemics, and will improve the social, economic, and environmental well-being of those who live, work, and travel within cities. The goal of this study is to equip public transit communities (i.e., agencies, workers, and riders) with a sociotechnical system, “Way-CARE" (Subway Crowd Management to Minimize Airborne Transmission of REspiratory Viruses) that: 1) enables transit riders to make informed decisions and adapt travel behavior accordingly; and 2) provides transit agencies engaged in planning and policymaking with recommendations for mitigating virus transmission risks to riders and workers. People in low-income communities are among the most impacted and are in a disadvantaged position due to reduced accessibility to perceived safer travel modes. As such, the broader impacts of this study include helping identify needs, target resources, and develop more effective approaches to better ensure health and wellness, accessibility and inclusivity, and economic vitality for residents of low-income communities. The accompanying educational plan aims to broaden participation in engineering of underrepresented groups via outreach programs, including programs for Harlem public school teachers and K-12 students, as well as annual student data science challenges.True health risks inside subway systems and future commuting patterns are unknown after the pandemic. The technological propeller of the project is the integration of sensing, crowd and airflow modeling, and public health knowledge on a microscale applied to subway crowd management. Coupled airborne dispersion and epidemiological models will be developed that account for microscale processes (transport of droplets and aerosols) affecting respiratory virus transmission opportunities. The social catalyst of the award is the integration of behavioral science evidence to inform travel choices and policy making. The Metropolitan Transportation Authority (MTA) and two local rider communities (Harlem and Columbia) will be engaged in the development and assessment of the sociotechnical dimensions of the project. To assure project success, a 2-phase evaluation plan is presented to pilot the system and the technologies. Transferability and scalability will be investigated with input from the engaged 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.

该智能互联社区 (S&CC) 项目的重点是通过开发人群管理的社会技术系统，加强交通社区面对公共卫生灾难的准备和恢复能力。地铁系统能否应对未来的大流行病并从中恢复？本研究的目标是为公共交通社区（即机构、工作人员和乘客）配备社会技术系统“Way-CARE”。 （地铁人群管理，最大限度地减少呼吸道病毒的空气传播）：1）使公交乘客能够做出明智的决定并相应地调整出行行为；2）为参与规划和政策制定的公交机构提供建议；降低乘客和工人的病毒传播风险。低收入社区的人们受到的影响最大，并且由于获得更安全的出行方式的机会减少而处于不利地位。因此，这项研究的更广泛影响包括帮助确定需求、目标资源，并制定更有效的方法，以更好地确保低收入社区居民的健康和保健、可及性和包容性以及经济活力。随附的教育计划旨在通过各种计划，包括针对代表性不足的群体的计划，扩大对代表性不足群体的参与。哈林区公立学校的教师和K-12 学生以及年度学生数据科学挑战。大流行之后，地铁系统内的真正健康风险和未来的通勤模式是未知的，该项目的技术推动力是传感、人群和气流建模以及公共卫生的整合。将开发适用于地铁人群管理的微观尺度知识，以解释影响呼吸道病毒传播机会的微观过程（飞沫和气溶胶的传播）。为出行选择和政策制定提供信息的行为科学证据。大都会交通局 (MTA) 和两个当地乘客社区（哈林区和哥伦比亚）将参与该项目的社会技术层面的开发和评估，以确保项目的成功。提出了一个两阶段的评估计划来试点该系统，并将根据参与社区的意见对技术的可转移性和可扩展性进行调查。该奖项是 NSF 的法定使命，并通过使用基金会的智力优势和更广泛的评估被认为值得支持。影响审查标准。

项目成果

A modular and reconfigurable sensing and actuation platform for smarter environments and drones: demo abstract

适用于智能环境和无人机的模块化、可重新配置的传感和驱动平台：演示摘要

• DOI: 10.1145/3498361.3538667
• 发表时间: 2022-06
• 期刊: Applications and Services
• 作者: Zhao, Minghui;Liu, Yanchen;Dhupar, Avik;Hou, Kaiyuan;Xia, Stephen;Jiang, Xiaofan
• 通讯作者: Jiang, Xiaofan

SoFIT: Self-Orienting Camera Network for Floor Mapping and Indoor Tracking

SoFIT：用于楼层测绘和室内跟踪的自定向摄像头网络

• DOI: 10.1109/dcoss54816.2022.00029
• 发表时间: 2022-05
• 期刊: 18th International Conference on Distributed Computing in Sensor Systems (DCOSS
• 作者: Liu, Yanchen;Nie, Jingping;Xia, Stephen;Sun, Jiajing;Wei, Peter;Jiang, Xiaofan
• 通讯作者: Jiang, Xiaofan

A Low-Cost In-situ System for Continuous Multi-Person Fever Screening

用于连续多人发烧筛查的低成本原位系统

• DOI: 10.1109/ipsn54338.2022.00009
• 发表时间: 2022-05
• 期刊: 21st ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN
• 作者: Hou, Kaiyuan;Liu, Yanchen;Wei, Peter;Yang, Chenye;Kang, Hengjiu;Xia, Stephen;Spada, Teresa;Rundle, Andrew;Jiang, Xiaofan
• 通讯作者: Jiang, Xiaofan