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已在建筑层面进行研究，并已成为研究建筑能耗的重要因素，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的关键因素。最近的工作表明，城市大数据可以实现城市规模的居住者行为建模，但是，利用建筑科学中的现有数据源和建模方法来建模城市居住者规模的行为存在挑战。用于研究城市规模的占用行为的有： (a)城市规模的居住者行为本质上是随机且复杂的；(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多样性；(c) 缺乏适当的建模方法来整合社会；此外，极端炎热或寒冷事件以及停电等气候变化也会影响居住者的生理和心理，从而改变他们的行为。例如流量分析、流行病学、本次研讨会的目标是通过聚集来自建筑科学、社会科学、能源政策、通信、土木工程、交通运输等多个学科的人员，弥合建筑科学与其他领域之间的数据源和方法差距。预期的影响是对提高城市生活质量和减少能源消耗的基础知识的重大贡献。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。本次研讨会的目标是未来气候下的运营和能源政策。确定现有城市规模居住行为研究中的研究差距，包括障碍是什么以及未来研究方向的确定。研讨会讨论的主题列表包括：（1）社区层面居住行为的建模要求是什么。 (2) 其他领域使用了哪些数据源，可以潜在地增强当前建筑科学应用的建模能力？(3) 社区层面的居住者行为的新建模方法是什么？(4) 未来潜在的研究方向是什么？用于社区层面的建筑设计、运营和政策，并具有增强的数据源本研讨会将：(a) 通过圆桌讨论增进建筑科学、工程和建模的一般知识；(b) 通过小组讨论增进对城市规模居住者行为研究方法发展的了解；演示和深入的技术讨论；(c) 为工程师、社会科学、政策和公共卫生教师和研究生提供交流想法的协作平台；(d) 提供未来的研究方向并鼓励教师和学生更多地参与相关研究；研究；(e) 为未来更好的社区建筑设计和运营提供见解该奖项反映了 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。