Conference: International Workshop on Implication of Urban Scale Occupant Behavior for Resilient Building Design, Operation and Policy Making

会议：城市规模居住者行为对弹性建筑设计、运营和政策制定的影响国际研讨会

• 批准号: 2415488
• 负责人: Bing Dong
• 金额: $ 4.81万
• 依托单位: Syracuse University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-02-01 至 2024-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2415488&HistoricalAwards=false
• 关键词: Conference; International; Workshop; Implication; Urban

Traditional occupant behavior modeling has been studied at the building level, and it has become an important factor in the investigation of building energy consumption. However, studies modeling occupant behaviors at the urban scale are still limited while such behavior is becoming a key factor in urban building and system energy modeling and energy policy making. Recent work has revealed that urban big data can enable occupant behavior modeling at the urban scale – however, utilizing existing data sources and modeling methods in building science to model urban scale occupant behaviors has challenges. The challenges for studying occupancy behavior at an urban scale are: (a) urban scale occupant behavior is stochastic and complex in nature; (b) lack of occupant behavior data sets to understand spatial and temporal diversity among all different buildings with different functions and occupant behaviors; and (c) lack of an appropriate modeling approach to integrate social demographical and equity with urban scale occupant movement inside and outside buildings. In addition, climate changes such as more extreme heat or cold events and power outages also affect occupants physiologically and psychologically and thus change their behavior. Modeling human behavior has been studied in other domains such as traffic analysis, epidemiology, communication, disaster management, and marketing. The goal of this workshop is to bridge the data sources and methodology gap between building science and beyond through bringing people from the multiple disciplines of building science, social science, energy policy, communication, civil engineering, transportation, public health, and others. The anticipated impact is significant contribution to foundational knowledge for improving the quality of urban living and reducing energy consumption. The goal of urban scale occupant behavior research is to transform urban scale energy modeling and simulation, resilient building design and operation under future climates, and energy policy. The objective of this workshop is to identify the research gaps in existing urban scale occupant behavior research including what the obstacles are and identification of future research directions. The list of topics to discussed at the workshop includes: (1) What are the modeling requirements of occupant behavior at a community level? (2) What data sources have been used in other domains that could potentially enhance modeling capabilities for current building science applications? (3) What are new modeling methods of occupant behavior at a community level? and (4) What are potential future research directions for building design, operation, and policies at a community level, with enhanced data sources and modeling methods from other domains? This workshop will: (a) advance general knowledge of building science, engineering, and modeling through round-table discussions; (b) advance knowledge of methodological development in urban scale occupant behavior research for built environment through panel presentations and intensive technical discussions; (c) provide a collaborative platform for engineers, social science, policy and public health faculty and graduate students to exchange ideas; (d) provide future research directions and encourage enhanced involvement of faculty and students to participate in relevant research; (e) provide insights on better community building design and operation under future climates.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.

传统的居住者行为建模一直停留在建筑层次上，已成为建筑能耗研究的重要内容。然而，在城市尺度上对居住者行为进行建模的研究仍然有限，而这种行为正在成为城市建筑和系统能源建模以及能源政策制定的关键因素。最近的研究表明，城市大数据可以在城市规模上进行居住者行为建模-然而，利用建筑科学中现有的数据源和建模方法来建模城市规模的居住者行为具有挑战性。研究城市尺度的居住行为面临的挑战是：（a）城市尺度的居住者行为具有随机性和复杂性;（B）缺乏居住者行为数据集来了解具有不同功能和居住者行为的所有不同建筑物之间的空间和时间差异;以及（c）缺乏适当的建模方法来将社会人口统计学和公平性与建筑物内外的城市规模居住者运动相结合。此外，气候变化，如更极端的高温或低温事件和停电也会影响居住者的生理和心理，从而改变他们的行为。建模人类行为已经在其他领域进行了研究，如流量分析，流行病学，通信，灾难管理和营销。本次研讨会的目标是弥合建筑科学与其他学科之间的数据源和方法差距，将来自建筑科学、社会科学、能源政策、通信、土木工程、交通、公共卫生等多个学科的人员聚集在一起。预期的影响是为提高城市生活质量和减少能源消耗的基础知识做出重大贡献。城市规模的居住者行为研究的目标是改变城市规模的能源建模和模拟，弹性建筑设计和未来气候下的操作，以及能源政策。本次研讨会的目的是确定现有的城市规模的居住者行为研究的研究差距，包括障碍是什么，并确定未来的研究方向。研讨会将讨论的主题包括：（1）在社区层面上，居住者行为的建模要求是什么？(2)在其他领域中使用了哪些数据源，可以潜在地增强当前建筑科学应用的建模能力？(3)在社区层面上，居住者行为的新建模方法是什么？以及（4）在社区层面上，利用来自其他领域的增强数据源和建模方法，未来建筑设计、运营和政策的潜在研究方向是什么？该讲习班将：（a）透过圆桌讨论，增进建筑科学、工程和模型的一般知识;（B）透过小组报告和密集的技术讨论，增进建筑环境的城市规模居住者行为研究方法发展的知识;（c）为工程师、社会科学、政策和公共卫生学院及研究生提供一个合作平台，以交流意见;（d）提供未来的研究方向，并鼓励教职员和学生加强参与有关研究;（e）就在未来气候下更佳的社区建筑设计和运作提供见解。这个奖项反映了国家自然基金会的法定使命，并被认为是值得支持的，因为它是根据基金会的学术价值和更广泛的影响审查标准进行评估的。