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.

传统的乘员行为建模已在建筑层面进行了研究，它已成为建筑能源消耗投资的重要因素。但是，在城市规模上对乘员行为进行建模的研究仍然有限，而这种行为正成为城市建筑和系统能源建模和能源政策制定的关键因素。最近的工作表明，城市大数据可以在城市规模上实现居住者行为建模 - 但是，利用现有的数据源和建模方法来建立科学来建模城市规模占用者行为有挑战。在城市规模上研究占用行为的挑战是：（a）城市规模的居住行为本质上是随机且复杂的； （b）缺乏乘员行为数据集，无法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临时多样性； （c）缺乏与城市规模居住者在内部和外部建筑物内部和城市规模的占用者运动的综合建模方法。此外，气候变化（例如更极端的热量或寒冷的事件和停电）也会在身体和心理上影响居住者，从而改变其行为。对人类行为进行建模已经研究了其他领域，例如流量分析，流行病学，沟通，灾难管理和营销。该研讨会的目的是通过带来从建筑科学，社会科学，能源政策，沟通，土木工程，运输，公共卫生等的多个学科的人们来弥合建立科学与超越之间的数据源和方法论差距。预期的影响是对改善城市生活质量和减少能源消耗的质量的基础知识的重要贡献。城市规模占用行为研究的目标是改变城市规模的能源建模和模拟，在未来的气候下建筑设计和运营以及能源政策。该研讨会的目的是确定现有的城市规模占用行为研究的研究差距，包括障碍以及对未来研究方向的识别。在研讨会上讨论的主题列表包括：（1）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，这些数据源可能会增强当前建筑科学应用的建模功能？ （3）在社区层面上，哪些新的乘员行为建模方法是什么？ （4）通过增强的数据源和其他领域的建模方法，在社区层面上进行建筑设计，操作和政策的未来研究方向有哪些？该研讨会将：（a）通过圆桌讨论提高对建筑科学，工程和建模的一般知识； （b）通过面板演示和密集的技术讨论，对城市规模的方法论进行了进步的知识； （c）为工程师，社会科学，政策和公共卫生教师和研究生提供协作平台，以交换想法； （d）提供未来的研究指示，并鼓励教师和学生的加强参与参与相关研究； （e）在未来的气候下提供了有关更好的社区建设设计和运营的见解。该奖项反映了NSF的法定任务，并通过使用基金会的知识分子优点和更广泛的影响审查标准通过评估来诚实地获得支持。