SCC-IRG Track 2: Smart Air: Informing Driver Behavior through Dynamic Sensing and Smart Messaging

SCC-IRG 轨道 2：智能空气：通过动态传感和智能消息传递告知驾驶员行为

• 批准号: 1952008
• 负责人: Kerry Kelly
• 金额: $ 120万
• 依托单位: University of Utah
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-10-01 至 2025-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1952008&HistoricalAwards=false
• 关键词: SCC; IRG; Track; Smart; Air

High concentrations of energy use from fossil fuels can lead to poor air quality, resulting in adverse health effects as well as economic consequences. A prime example is found where large numbers of idling vehicles congregate (e.g., schools and hospital drop-off/pick-up zones), leading to microclimates of unhealthy air. Workers, such as valet parking attendants, can spend their entire workday in these microenvironments, and children passing through these zones can experience up to 60% higher levels of pollution than adults, because of their height. These vehicle-caused, poor-air-quality microclimates offer a compelling opportunity for communities to engage with emerging technologies to take ownership of their air and the behaviors that impact its quality. This project sociotechnical approach, called SmartAir, will synergistically integrate dynamic air-quality information with social-norm feedback to positively influence decisions that affect the well-being of vulnerable individuals working in or passing through polluted microenvironments. The feedback approach for decreasing idling mirrors the feedback provided by digital speed displays, which has been shown to positively influence driver behavior (reduced speeding) and thus reduce health-impacts of that behavior (reduced traffic accidents). The proposed pilot demonstrations will take place in Northern Utah, a region that periodically experiences the poorest air quality in the country. The project SmartAir employs a comprehensive community engagement approach — from the development of the sensing and display technologies to cocreation of culturally sensitive messaging, cooperatively conducted pilot studies, and efficacy evaluation.SmartAir will produce novel technological and behavioral-science developments. First, this project will develop wearable, calibrated, low-cost air quality sensing nodes that will support members of smart and connected communities to minimize pollution exposure. Second, this project will enable the rapid integration of sensor measurements with local meteorological information and data-screening algorithms to dynamically provide feedback to individuals about idling behavior and to workers that seek to minimize pollution exposure. Third, the SmartAir system will be integrated into behavior-change experiments and the co-creation of community-crafted messaging to influence individual choices. Comprehensive involvement of the community partners will be critical to co-develop and pilot solutions to address poor air quality and ultimately ensure a highly scalable and sustainable system. The broader impacts of this work are multifold, including the following. SmartAir will serve as a framework for closing the loop between air quality measurements and individual decision making. It will also help drive institutional decisions that reduce worker pollutant exposure and improve worker performance, career longevity, and job satisfaction. Anonymized data will be made available to support numerous personal and community-driven needs, such as health-effects studies, anti-idling campaigns, school drop-off policies, and urban/traffic planning. Additionally, this project will have a substantial outreach effort that involves community members in message crafting, data collection, and interpretation.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.

化石燃料的高浓度使用会导致空气质量差，从而导致不利的健康影响以及经济后果。在一个典型的例子中，大量的空转车辆聚集在一起（例如学校和医院下车/接送区），导致不健康的空气中的微气候。工人，例如代客停车服务员，可以在这些微环境中度过整个工作日，而经过这些区域的儿童由于其身高而比成年人高达60％的污染水平。这些引起车辆的较差的空气质量的微气候为社区提供了一个令人信服的机会，可以与新兴技术互动以掌握其空气的所有权以及影响其质量的行为。该项目的社会技术方法称为SmartAir，将协同将动态空气质量信息与社会 - 主场反馈相结合，从而积极影响决策，从而影响在污染的微环境中工作或经过的弱势群体的福祉。减少空转的反馈方法反映了数字速度显示器提供的反馈，该反馈已被证明会积极影响驾驶员行为（减少超速），从而减少了这种行为的健康影响（减少了交通事故）。拟议的飞行员示威活动将在犹他州北部举行，该地区定期经历该国最糟糕的空气质量。该项目Smartair采用了一种全面的社区参与方法 - 从发展敏感性和展示技术到对文化敏感的消息传递的影响，合作进行了试点研究以及有效的评估。Smartair将产生新颖的技术和行为科学发展。首先，该项目将开发可穿戴，校准，低成本的空气质量敏感性节点，这些节点将支持智能和连接社区的成员，以最大程度地减少污染曝光。其次，该项目将使传感器测量与局部气象信息和数据筛查算法的快速整合，以动态地向个人提供有关空闲行为的反馈以及试图最大程度地减少污染暴露的工人。第三，SmartAir系统将集成到行为改变实验中，并共同创建社区制作的消息传递以影响个人选择。社区合作伙伴的全面参与对于共同开发和试点解决方案至关重要，以解决差的空气质量，并最终确保高度可扩展和可持续的系统。这项工作的更广泛的影响是多重的，包括以下内容。 SmartAir将作为一个框架，以结束空气质量测量和个人决策之间的循环。它还将有助于推动机构决策，从而减少工人污染物的暴露量并提高工人绩效，职业长寿和工作满意度。匿名数据将被提供以支持众多个人和社区驱动的需求，例如健康效果研究，反学活动，学校下车政策以及城市/交通计划。此外，该项目将进行大量的推广工作，涉及社区成员参与消息制定，数据收集和解释。该奖项反映了NSF的法定任务，并且使用基金会的知识分子优点和更广泛的影响审查标准，被认为值得通过评估来获得支持。

项目成果

Technical note: Identifying a performance change in the Plantower PMS 5003 particulate matter sensor

技术说明：识别 Plantower PMS 5003 颗粒物传感器的性能变化

• DOI: 10.1016/j.jaerosci.2023.106256
• 发表时间: 2023
• 期刊: Journal of Aerosol Science
• 影响因子: 4.5
• 作者: Searle, N.;Kaur, K.;Kelly, K.
• 通讯作者: Kelly, K.