JST: SCC-PG: Understanding Heat Resiliency via Physiological, Mental, and Behavioral Health Factors for Indoor and Outdoor Urban Environments
JST:SCC-PG:通过室内和室外城市环境的生理、心理和行为健康因素了解耐热性
基本信息
- 批准号:1951928
- 负责人:
- 金额:$ 7.5万
- 依托单位:
- 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:2020-06-01 至 2022-05-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Exposure to extreme heat is harmful to human health and well-being. As cities grow and both the incidence and intensity of high-temperature events increases, the management of population heat exposure while minimizing disruption to day-to-day activities is becoming a growing challenge among urban planners and residents alike. High temperatures pose especially large potential risks for vulnerable populations such as the elderly, young children, and low-income families. This Smart and Connected Communities Planning Grant supports the creation of a collaborative working group of researchers in mobile systems, computational imaging and sensing, urban climate informatics, and economics alongside key stakeholders of community members, city officials, urban planners, and designers to investigate potential strategies to increase heat resiliency in urban populations. In collaboration with researchers and community members from Japan, this project will seek to identify, promulgate, and promote strategies for heat-risk reduction and resiliency - both within and across cultural contexts - while also investigating the importance of local cultural factors in the spread and adoption of such strategies at the individual and societal levels. This work will span both the United States and Japan, two populations whose cities suffer different issues related to heat exposure. This project will support travel, preliminary research studies, and workshop forums with community partners. The outcomes of this planning grant will include pilot studies and data collection for measuring physiological factors for heat effects, as well as a multiscale framework for linking physiological, behavioral/mental, and socioeconomical/cultural factors for heat resiliency across the United States and Japan. This project aims to identify and assist stakeholders in tackling challenges facing at-risk populations in communities due to extreme heat. In particular, the project plans and builds capacity for future research aimed to study (1) physiological markers for heat stress and exposure, leveraging techniques from physics-based computational imaging and mobile health sensing, as well as (2) mental and behavioral models for individuals exposed to heat conditions, and how they interact with one another. Results will be used to develop user-centric thermal comfort models for individuals exposed to extreme heat conditions. This includes both physiological effects due to quantifiable environmental conditions such as temperature and humidity, but also subjective assessment of an individual’s tolerance to heat based on clothing, activity level, past exposure history and experiences. A key focus of this project is to study these factors across communities in the United States and Japan. This includes planning and piloting preliminary data collection efforts for three cities: Amherst, Massachusetts; Phoenix, Arizona; and the greater Osaka region, Japan. Researchers with expertise in sensor development, heat sensing, mobile health, economics and behavioral modeling, and urban climate and infrastructure will collaborate to understand key research questions about the challenges and need for solutions in this application domain. This research will interact with key stakeholders in the three communities across the United States and Japan, and insights gleaned from the research will be shared with the community to develop effective strategies to build climate-smart cities. Workshops and collaborative activities will strengthen research ties between the international institutions, including capacity building and planning for integrative research in the future to tackle heat resiliency in both the United States and Japan.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.
暴露在极端高温下对人类健康和福祉有害。随着城市的发展以及高温事件的发生率和强度的增加,对人口高温暴露的管理同时尽量减少对日常活动的干扰正在变得越来越重要。高温对老年人、幼儿和低收入家庭等弱势群体构成了特别大的潜在风险。这项智能互联社区规划拨款支持建立一个由研究人员组成的协作工作组。移动系统、计算成像和传感、城市气候该项目将与来自日本的研究人员和社区成员合作,与社区成员、城市官员、城市规划者和设计师等主要利益相关者一起研究提高城市人口耐热能力的潜在策略。并在文化背景内和跨文化背景下推广减少热风险和恢复能力的战略,同时还调查当地文化因素在个人和社会层面传播和采用此类战略的重要性这项工作将跨越美国。和日本,两个人口该项目将支持旅行、初步研究以及与社区合作伙伴的研讨会论坛,该计划拨款的成果将包括用于测量热影响的生理因素的试点研究和数据收集。作为将美国和日本的耐热能力的生理、行为/心理和社会经济/文化因素联系起来的多尺度框架,该项目旨在确定并协助利益相关者应对社区中因极端高温而面临的高危人群所面临的挑战。特别是,该项目计划和建设以下方面的能力:未来的研究旨在研究(1)热应激和暴露的生理标记,利用基于物理的计算成像和移动健康传感技术,以及(2)暴露于热条件下的个体的心理和行为模型,以及它们如何相互作用结果将用于为暴露在极端高温条件下的个人开发以用户为中心的热舒适模型,这既包括由于可量化的环境条件(例如温度和湿度)造成的生理影响,也包括对个人耐热性的主观评估。基于服装、活动水平、过去的接触史和经验。该项目的重点是研究美国和日本社区的这些因素,其中包括规划和试点三个城市的初步数据收集工作:马萨诸塞州阿默斯特、亚利桑那州凤凰城和日本大大阪地区。拥有传感器开发、热传感、移动健康、经济和行为建模以及城市气候和基础设施方面的专业知识的专家将合作了解有关该应用领域的挑战和解决方案需求的关键研究问题。美国和日本的三个社区以及见解研究收集到的信息将与社区分享,以制定建设气候智能城市的有效战略。研讨会和合作活动将加强国际机构之间的研究联系,包括未来综合研究的能力建设和规划,以解决气候智能型城市的耐热问题。该奖项反映了 NSF 的法定使命,并通过使用基金会的智力价值和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
MaRTiny—A Low-Cost Biometeorological Sensing Device With Embedded Computer Vision for Urban Climate Research
MaRTiny——一款用于城市气候研究的具有嵌入式计算机视觉的低成本生物气象传感设备
- DOI:10.3389/fenvs.2022.866240
- 发表时间:2022-05-12
- 期刊:
- 影响因子:0
- 作者:Karthik K. Kulkarni;Florian A. Schneider;Tejaswini M. Gowda;Suren Jayasuriya;Ariane Middel
- 通讯作者:Ariane Middel
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Suren Jayasuriya其他文献
Reconstructing Intensity Images from Binary Spatial Gradient Cameras
从二值空间梯度相机重建强度图像
- DOI:
10.1109/cvprw.2017.47 - 发表时间:
2017-07-01 - 期刊:
- 影响因子:0
- 作者:
Suren Jayasuriya;Orazio Gallo;Jinwei Gu;Timo Aila;J. Kautz - 通讯作者:
J. Kautz
Changing Cycle Lengths in State-Transition Models
改变状态转换模型中的周期长度
- DOI:
- 发表时间:
2016 - 期刊:
- 影响因子:3.6
- 作者:
J. Chhatwal;Suren Jayasuriya;E. Elbasha - 通讯作者:
E. Elbasha
Unsupervised Non-Rigid Image Distortion Removal via Grid Deformation
通过网格变形进行无监督非刚性图像失真消除
- DOI:
10.1109/iccv48922.2021.00252 - 发表时间:
2021-10-01 - 期刊:
- 影响因子:0
- 作者:
Nianyi Li;Simron Thapa;Cameron Whyte;Albert W. Reed;Suren Jayasuriya;Jinwei Ye - 通讯作者:
Jinwei Ye
Dynamic CT Reconstruction from Limited Views with Implicit Neural Representations and Parametric Motion Fields
使用隐式神经表示和参数运动场从有限视图进行动态 CT 重建
- DOI:
10.1109/iccv48922.2021.00226 - 发表时间:
2021-04-23 - 期刊:
- 影响因子:0
- 作者:
Albert W. Reed;Hyojin Kim;R. Anirudh;K. A. Mohan;K. Champley;Jingu Kang;Suren Jayasuriya - 通讯作者:
Suren Jayasuriya
Compressive Light Field Reconstructions Using Deep Learning
使用深度学习进行压缩光场重建
- DOI:
10.1109/cvprw.2017.168 - 发表时间:
2017-07-01 - 期刊:
- 影响因子:0
- 作者:
Mayank Gupta;Arjun Jauhari;K. Kulkarni;Suren Jayasuriya;A. Molnar;P. Turaga - 通讯作者:
P. Turaga
Suren Jayasuriya的其他文献
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{{ truncateString('Suren Jayasuriya', 18)}}的其他基金
Collaborative Research:CIF:Small:Acoustic-Optic Vision - Combining Ultrasonic Sonars with Visible Sensors for Robust Machine Perception
合作研究:CIF:Small:声光视觉 - 将超声波声纳与可见传感器相结合,实现强大的机器感知
- 批准号:
2326905 - 财政年份:2024
- 资助金额:
$ 7.5万 - 项目类别:
Standard Grant
Collaborative Research:CIF:Small:Acoustic-Optic Vision - Combining Ultrasonic Sonars with Visible Sensors for Robust Machine Perception
合作研究:CIF:Small:声光视觉 - 将超声波声纳与可见传感器相结合,实现强大的机器感知
- 批准号:
2326905 - 财政年份:2024
- 资助金额:
$ 7.5万 - 项目类别:
Standard Grant
Collaborative Research: RI: Small: Motion Fields Understanding for Enhanced Long-Range Imaging
合作研究:RI:小型:增强远程成像的运动场理解
- 批准号:
2232299 - 财政年份:2023
- 资助金额:
$ 7.5万 - 项目类别:
Standard Grant
Collaborative Research: Middle School Teacher and Student's Experiences with Artificial Intelligence via Computational Cameras
合作研究:中学教师和学生通过计算相机使用人工智能的体验
- 批准号:
1949384 - 财政年份:2020
- 资助金额:
$ 7.5万 - 项目类别:
Standard Grant
REU Site: Computational Imaging and Mixed-Reality for Visual Media Creation and Visualization
REU 网站:用于视觉媒体创建和可视化的计算成像和混合现实
- 批准号:
1950534 - 财政年份:2020
- 资助金额:
$ 7.5万 - 项目类别:
Standard Grant
RI: Small: Collaborative Research: Dynamic Light Transport Acquisition and Applications to Computational Illumination
RI:小型:合作研究:动态光传输采集及其在计算照明中的应用
- 批准号:
1909192 - 财政年份:2019
- 资助金额:
$ 7.5万 - 项目类别:
Standard Grant
SHF: Small: Collaborative Research: Software-Defined Imaging for Energy-Efficient Visual Computing
SHF:小型:协作研究:用于节能视觉计算的软件定义成像
- 批准号:
1909663 - 财政年份:2019
- 资助金额:
$ 7.5万 - 项目类别:
Standard Grant
Research Initiation: Exploring Epistemologies where Engineering Meets Art
研究启动:探索工程与艺术相遇的认识论
- 批准号:
1830730 - 财政年份:2018
- 资助金额:
$ 7.5万 - 项目类别:
Standard Grant
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