Abstract Long-term community resilience, which privileges a long-view look at chronic, slow-moving issues affecting communities, has begun to draw more attention from researchers and policymakers. In the Valley of the Sun, resilience to heat is both a necessity and a way of life. Solutions are ubiquitous but nevertheless still in demand over the long, hot summers in the Phoenix, Arizona metropolitan area. Residents heavily rely on air conditioning (AC) for relief from heat stress, illness, and to prevent indoor heat-related deaths. However, paying for the electricity to keep homes cool can be expensive and the electric bills can be cost prohibitive for many low-income individuals and families. Local government agencies, non-governmental organizations (NGOs), and charitable organizations have programs that provide financial assistance for qualified applicants offering limited relief from electricity costs. To better understand the utility assistance landscape in the Phoenix metropolitan area as a contributor to heat resilience among vulnerable communities, we created a collaborative team of individuals from the university and the Salvation Army, one of the more than 80 organizations that provides emergency economic aid for low-income families to pay high-cost electricity bills, to articulate insights about systemic efficiencies and efficacies, from a data-informed perspective. We utilized exploratory data analysis and advanced spatial analytical methods with the Salvation Army, to build a shared understanding of knowledge gaps and verified hunches. Our collaborative research confirms that minority groups (African American and Native American) disproportionately require assistance. Meanwhile, 30% of the travel time and distance to intake interviews could be saved by switching from zip code-based assignment systems to address-based assignment systems. Budgeting across empirically identified temporal patterns of need could offer resilience benefits to the most vulnerable. As a result of this community research partnership, data from the Salvation Army reveals the character and dimension of critical challenges within the utility assistance system as a whole, informs both immediate solutions and builds a knowledge base for transforming future operations for the organization, while it shapes broader conversations across the community of service providers about heat resilience in both spatial and temporal terms.

中文翻译：

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使用救世军地铁凤凰城公用事业援助数据的空间优化和时间分析来阐明解决热弹性的策略

摘要 长期社区复原力优先考虑影响社区的慢性、缓慢发展的问题，已开始引起研究人员和政策制定者的更多关注。在太阳谷，抵御高温既是一种必需品，也是一种生活方式。解决方案无处不在，但在亚利桑那州凤凰城漫长而炎热的夏季仍然有需求。居民严重依赖空调 (AC) 来缓解热应激和疾病，并防止与室内热相关的死亡。然而，为保持房屋凉爽而支付的电费可能会很昂贵，而且对于许多低收入个人和家庭来说，电费可能会令人望而却步。地方政府机构、非政府组织 (NGO)、和慈善组织都有为符合条件的申请人提供经济援助的计划，可以减少电力成本。为了更好地了解凤凰城大都市区的公用事业援助格局，将其作为弱势社区抗热能力的贡献者，我们创建了一个由来自大学和救世军的个人组成的协作团队，救世军是为以下人群提供紧急经济援助的 80 多个组织之一。低收入家庭支付高成本电费，从数据知情的角度阐明有关系统效率和功效的见解。我们与救世军一起使用探索性数据分析和先进的空间分析方法，以建立对知识差距和经过验证的预感的共同理解。我们的合作研究证实，少数群体（非裔美国人和美洲原住民）不成比例地需要帮助。同时，通过从基于邮政编码的分配系统切换到基于地址的分配系统，可以节省 30% 的旅行时间和进入面试的距离。跨经验确定的需求时间模式进行预算可以为最脆弱的人提供弹性收益。由于这种社区研究伙伴关系，救世军的数据揭示了整个公用事业援助系统中关键挑战的特征和维度，为即时解决方案提供了信息，并为改变组织的未来运营建立了知识库，