| 项目编号: | 1653772
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| 项目名称: | CAREER: Urban Informatics for Smart, Sustainable Cities: Toward a Data-Driven Understanding of Metropolitan Energy Dynamics |
| 作者: | Constantine Kontokosta
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| 承担单位: | New York University
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| 批准年: | 2017
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| 开始日期: | 2017-02-01
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| 结束日期: | 2022-01-31
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| 资助金额: | 510313
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| 资助来源: | US-NSF
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| 项目类别: | Standard Grant
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| 国家: | US
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| 语种: | 英语
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| 特色学科分类: | Engineering - Chemical, Bioengineering, Environmental, and Transport Systems
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| 英文关键词: | city
; research
; urban informatics
; urban energy demand
; city-university partnership
; energy challenge
; urban sustainability
; urban challenge
; multiple city
; building
; metropolitan energy dynamics
; energy datum
; regional policy impact energy efficiency
; energy use
; city level datum
; urban energy datum
; energy reduction strategy
; urban dynamics
; building energy consumption
; energy conservation measure
; sustainable city
; building energy efficiency
; socio-technical dynamics
; evidenced-based urban energy policy
; drive energy use
; urban energy dynamics
; city agency
; decision-making
; metropolitan area
; international city
; energy demand
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| 英文摘要: | CBET 1653772; PI: Kontokosta, Constantine E.
This project will use data-driven methodologies to advance fundamental understanding of urban energy dynamics through a coupled model of urban energy demand, behavior, and infrastructure. The work seeks to maximize impact by supporting evidenced-based urban energy policy, public and private decision-making, and infrastructure investment to more effectively design, implement, and evaluate energy reduction strategies. Using a diverse, comprehensive, and unique collection of data acquired by the PI, the research aims to tackle the following: (1) What drives energy use within and across cities? (2) What are the socio-technical dynamics of building energy consumption? (3) How and why do energy conservation measures and retrofit opportunities vary by building type, city, and region? (4) What are the spatial-temporal patterns of energy use in cities? (5) How do urban and regional policies impact energy efficiency and cost savings over time?
The work in urban informatics and metropolitan energy dynamics is focused on developing new analytical approaches, coupled with an array of building, land use, and energy data from U.S. and international cities, to advance the fundamental understanding of the patterns and determinants of urban energy demand and GHG emissions from the built environment and their impacts on human well-being. This will be achieved by integrating methods from civil and systems engineering, data science, and computational social science to develop data-driven models to support decision-making through the extraction of actionable intelligence from big data. This research will (1) integrate an array of building, neighborhood, and city level data across tens of thousands of buildings and multiple cities, (2) utilize new sources of urban energy data to create a large, non-self-selected dataset, and (3) simultaneously examine physical, environmental, social, and behavioral components of urban dynamics to create a multi-scalar model of energy demand and reduction potentials across metropolitan areas. The research seeks to provide the analytical rigor to support objective, evidenced-based policies that will create a framework for performance-driven evaluation of proposed and implemented strategies. The education plan will facilitate development of a network of students trained in building energy efficiency, urban informatics, and urban sustainability, as well as foster greater public awareness of the scale and importance of addressing energy challenges in cities. The research and education activities will build on an existing relationship with city agencies, industry collaborators, and the MetroLab Network - a group of 34 city-university partnerships focused on data solutions to urban challenges - to provide the foundation for smart, sustainable cities in the U.S. and globally. |
| 资源类型: | 项目
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/90564
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| Appears in Collections: | 全球变化的国际研究计划
科学计划与规划
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| Recommended Citation: | |
Constantine Kontokosta. CAREER: Urban Informatics for Smart, Sustainable Cities: Toward a Data-Driven Understanding of Metropolitan Energy Dynamics. 2017-01-01.
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