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

高度集中使用化石燃料产生的能源会导致空气质量变差，从而对健康造成不利影响，并造成经济后果。一个最好的例子是大量空转车辆聚集在一起(例如，学校和医院的上车/接送区域)，导致不健康空气的小气候。代客停车场服务员等工作人员可以在这些微环境中度过他们的整个工作日，而通过这些区域的儿童由于身高的原因，可能会经历比成年人高60%的污染水平。这些由车辆造成的、空气质量差的小气候为社区提供了一个令人信服的机会，让他们参与到新兴技术中来，以掌握他们的空气和影响其质量的行为。这个名为SmartAir的项目社会技术方法将协同整合动态空气质量信息和社会规范反馈，以积极影响影响在污染微环境中工作或通过污染微环境的脆弱个人福祉的决策。减少怠速的反馈方法反映了数字速度显示器提供的反馈，这已被证明对司机的行为(减少超速)产生积极影响，从而减少这种行为对健康的影响(减少交通事故)。拟议的试点示范将在犹他州北部进行，该地区经常经历全国最糟糕的空气质量。SmartAir项目采用了全面的社区参与方法-从开发传感和显示技术到共同创建具有文化敏感性的消息传递、合作进行的试点研究和效果评估。SmartAir将产生新的技术和行为科学发展。首先，该项目将开发可穿戴、经过校准的低成本空气质量传感节点，以支持智能和互联社区的成员，将污染暴露降至最低。其次，该项目将实现传感器测量与当地气象信息和数据筛选算法的快速集成，以动态地向个人和寻求将污染暴露降至最低的工作人员提供关于空转行为的反馈。第三，SmartAir系统将被整合到改变行为的实验中，并共同创建社区制作的消息传递，以影响个人的选择。社区合作伙伴的全面参与将是共同开发和试点解决方案以解决糟糕的空气质量并最终确保高度可扩展和可持续系统的关键。这项工作的更广泛影响是多方面的，包括以下几个方面。SmartAir将作为一个框架，关闭空气质量测量和个人决策之间的循环。它还将有助于推动制度决策，减少工人的污染物暴露，提高工人的表现、职业寿命和工作满意度。匿名数据将用于支持许多个人和社区驱动的需求，如健康影响研究、反空转运动、学校送学政策和城市/交通规划。此外，这个项目将有一个重要的外展工作，让社区成员参与信息制作、数据收集和解释。这个奖项反映了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。

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.