RAPID: Using Mobile Phone Data to Understand the Impacts of the COVID-19 Pandemic on Food Assistance Use in Alaska

RAPID：使用手机数据了解 COVID-19 大流行对阿拉斯加粮食援助使用的影响

• 批准号: 2207436
• 负责人: Guangqing Chi
• 金额: $ 20万
• 依托单位: Pennsylvania State Univ University Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-02-01 至 2025-01-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2207436&HistoricalAwards=false
• 关键词: RAPID; Using; Mobile; Phone; Data

The COVID-19 pandemic has strained national and international transportation systems, affecting the cost and availability of food and other essentials. The pandemic has also exacerbated economic inequalities, disproportionately affecting vulnerable and low-income communities. In Alaska, most households rely on costly imported foods, and many, especially those with children, are experiencing food insecurity and undernutrition. This project investigates the impact of the COVID-19 pandemic on household use of food assistance in urban Alaska over the past three years. Through an innovative methodology using mobility data and spatial analysis, the PI team evaluates links between social and demographic variables and food pantry access, identifying food insecurity hotspots where need is greatest. This methodology may be applied elsewhere in the U.S. to identify and assist communities facing food insecurity. Working with local partners, research findings will be rapidly disseminated to stakeholders to inform food assistance programs. Research findings will also be used for university curriculum development and workshops. More broadly, assessment and response to food assistance needs during periods of crisis will improve the household security of vulnerable and low-income Americans.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.

COVID-19大流行使国家和国际运输系统紧张，影响食物和其他必需品的成本和可用性。大流行也加剧了经济不平等，对脆弱和低收入社区的影响不成比例。在阿拉斯加，大多数家庭依靠昂贵的进口食品，许多家庭，尤其是有孩子的食物，正在经历粮食不安全和营养不良。该项目在过去三年中调查了COVID-19-19-19大流行对阿拉斯加城市粮食援助的影响。通过使用移动性数据和空间分析的创新方法，PI团队评估了社交和人口统计学变量与食品储藏室访问之间的联系，并在需要的情况下确定食品不安全的热点。该方法可以用于美国其他地方，以识别和协助面临粮食不安全的社区。与当地合作伙伴合作，研究结果将迅速传播给利益相关者，以告知食品援助计划。研究结果也将用于大学课程开发和讲习班。更广泛地说，在危机期间的评估和对粮食援助需求的反应将改善脆弱和低收入美国人的家庭安全。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛影响的评估来审查标准的评估。

项目成果

Spatial proximity to wildfires as a proxy for measuring PM2.5: A novel method for estimating exposures in rural settings

与野火的空间接近度作为测量 PM2.5 的代理：一种估算农村环境暴露量的新方法

• DOI: 10.1016/j.joclim.2023.100219
• 发表时间: 2023
• 期刊: The Journal of Climate Change and Health
• 作者: Smith, M. Luke;Chi, Guangqing
• 通讯作者: Chi, Guangqing

Urban Microclimate, Outdoor Thermal Comfort, and Socio-Economic Mapping: A Case Study of Philadelphia, PA

• DOI: 10.3390/buildings13041040
• 发表时间: 2023-04
• 期刊: Buildings
• 影响因子: 3.8
• 作者: Farzad Hashemi;U. Poerschke;L. Iulo;G. Chi