Project 1: Greenspace to build resilience to climate change impacts on health: The good, the bad, and the future

项目 1：绿色空间，增强抵御气候变化对健康影响的能力：好的、坏的和未来

• 批准号: 10835396
• 负责人: Shujuan Li
• 金额: $ 83.6万
• 依托单位: UNIVERSITY OF ARIZONA
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-22 至 2026-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10835396
• 关键词: Address; Adverse effects; Air; Allergens; Animals; Area; Arizona; Assessment tool; Case Study; Cities; Climate; Collaborations; Collection; Communicable Diseases; Communication; Communities; Culicidae; Data; Decision Making; Development; Development Plans; Disease Vectors; Droughts; Ecology; Ensure; Environment; Environment Design; Environmental Science; Equity; Exposure to; Fire - disasters; Focus Groups; Future; Goals; Green space; Health; Health Benefit; Health Planning; Health Sciences; Heat Stress Disorders; Human; Indoor Air Pollution; Inequity; Intervention; Investments; Knowledge; Link; Literature; Machine Learning; Modeling; Morphology; Mosquito-borne infectious disease; Nature; Neighborhoods; Outcome; Performance; Persons; Policy Maker; Precipitation; Process; Production; Public Health; Recommendation; Research; Research Personnel; Risk; Scientist; Shapes; Social Sciences; Southwestern United States; Temperature; Training; Trees; Water; Weather; Work; ambient air pollution; built environment; climate change; climate data; climate impact; climate-related health; community engagement; community planning; data integration; data visualization; design; disorder risk; extreme heat; field survey; health equity; improved; inequitable distribution; machine learning model; member; metropolitan; poor health outcome; preference; promote resilience; remote sensing; resilience; simulation; social; sociodemographics; statistics; tool; urban planning; vector

PROJECT ABSTRACT – Component: Project 1 Urban greenspaces are recognized as an effective tool for increasing climate change resilience by providing environmental, social, and public health benefits. However, unintended consequences of greenspaces have been observed, such as increased fire risks, allergens and vectors and animal hosts of infectious diseases. To effectively incorporate urban greenspaces into urban planning and design, it is critical for planners and designers to understand the broader impacts and trade-offs of urban greenspace development on public health outcomes. Specific compositions and morphologies of greenspaces may generate different environmental and health outcomes but these are poorly explored and nuanced approaches are critically lacking in the practice of urban planning. To address this knowledge gap, our proposed study aims to examine how urban greenspace designs can increase climate change resilience and public health. The study objectives are to: (1) evaluate the public health trade-offs of urban greenspaces with varying composition and morphology using a case study of heat-related illness and mosquito-borne disease risk in a large urban city, Phoenix, AZ; (2) develop a health effects assessment tool that can be used to predict the health impacts of proposed urban greenspace designs and plans; and (3) link scientific research and community engagement through greenspace design activities to co-produce knowledge, and elicit preferences and priorities in the impacts of greenspace design. To achieve these goals, we will integrate data on climate/weather, heat-related illnesses, mosquito abundance, and socio- demographics on urban greenspaces in Phoenix and Tucson metropolitan areas in Arizona with assistance from the Integrated Data Visualization Core. We will use the conditional spatial autoregression models (CAR) to analyze the associations between urban greenspaces (e.g., types, composition, and morphology) and heat- related illnesses and mosquito abundance. We will develop a health effects assessment tool based on a machine learning model trained with data from Phoenix metropolitan area and validated based on field collections conducted within the Tucson metropolitan area. This tool will be used to evaluate the performance of current urban greenspaces and different design scenarios of future urban greenspace development, to estimate varying levels of heat resilience, potential climate change-related health effects, and to identify inequities exacerbated by inequitable distribution of greenspace. Finally, we will develop a platform for community members to co-produce knowledge through observations of their environment and engage decision-makers and community members to develop priorities for greenspace planning.

项目摘要 - 组件：项目1 城市绿色空间被认为是增加气候变化弹性的有效工具 环境，社会和公共卫生益处。但是，绿空间的意外后果具有 被观察到，例如增加的火灾风险，过敏原，载体以及动物传染病的宿主。到 有效地将城市绿色空间纳入城市规划和设计中，对计划者和 设计师了解城市绿地开发对公共卫生的更广泛影响和权衡 结果。绿空间的特定组成和形态可能会产生不同的环境，并且 健康结果，但探索不佳，而细微的方法在实践中严重缺乏 城市规划。为了解决这一知识差距，我们提出的研究旨在研究城市绿色空间 设计可以增加气候变化的弹性和公共卫生。研究目标是：（1）评估 使用案例研究，具有不同组成和形态的城市绿色空间的公共卫生权衡取舍 在亚利桑那州凤凰城的大城市中，与热有关的疾病和蚊子传播的疾病风险； （2）发展健康 效果评估工具，可用于预测拟议的城市绿空间设计的健康影响 and plans; （3）通过绿空间设计活动将科学研究和社区参与链接到 共同生产知识，并在Greenspace设计的影响中引起偏好和优先级。实现 这些目标，我们将整合有关气候/天气，与热有关疾病，蚊子抽象和社会的数据 凤凰城和亚利桑那州图森大都市地区的城市绿地人口统计 从集成数据可视化核心。我们将使用条件的空间自动进度模型（CAR） 分析城市绿空间（例如类型，组成和形态）和热量之间的关联 相关疾病和蚊子丰度。我们将基于 通过凤凰城大都市地区的数据训练的机器学习模型，并根据现场进行验证 在图森都会区内进行的收藏。该工具将用于评估性能 当前的城市绿色空间和未来城市绿地开发的不同设计场景 估计温度恢复能力的不同水平，潜在的与气候变化相关的健康效应，并确定 不平等的不平等加剧了绿空间的分布。最后，我们将开发一个平台 社区成员通过观察环境来共同产生知识并参与 决策者和社区成员为Greenspace计划制定优先事项。