Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1038/ncomms14387 |
Planning for sustainable cities by estimating building occupancy with mobile phones | |
Barbour, Edward1,2,3; Davila, Carlos Cerezo4; Gupta, Siddharth1; Reinhart, Christoph4; Kaur, Jasleen5; Gonzalez, Marta C.1,3,6 | |
2019-08-19 | |
发表期刊 | NATURE COMMUNICATIONS
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ISSN | 2041-1723 |
出版年 | 2019 |
卷号 | 10 |
文章类型 | Article |
语种 | 英语 |
国家 | USA; England |
英文摘要 | Accurate occupancy is crucial for planning for sustainable buildings. Using massive, passively-collected mobile phone data, we introduce a novel framework to estimate building occupancy at unprecedented scale. We show that, at urban-scale, occupancy differs widely from current estimates based on building types. For commercial buildings, we find typical occupancy rates are 5 times lower than current assumptions imply, while for residential buildings occupancy rates vary widely by neighborhood. Our mobile phone based occupancy estimates are integrated with a state-of-the-art urban building energy model to understand their impact on energy use predictions. Depending on the assumed relationship between occupancy and internal building loads, we find energy consumption which differs by +1% to -15% for residential buildings and by -4% to -21% for commercial buildings, compared to standard methods. This highlights a need for new occupancy-to-load models which can be applied at urban-scale to the diverse set of city building types. |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000481607000006 |
WOS关键词 | ENERGY DEMAND ; SIMULATION ; GENERATION ; MODEL ; SCALE ; CONSUMPTION ; BEHAVIOR ; STATE |
WOS类目 | Multidisciplinary Sciences |
WOS研究方向 | Science & Technology - Other Topics |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/203202 |
专题 | 资源环境科学 |
作者单位 | 1.MIT, Dept Civil & Environm Engn, 77 Massachusetts Ave, Cambridge, MA 02139 USA; 2.Loughborough Univ, Ctr Renewable Energy Syst Technol, Loughborough, Leics, England; 3.Lawrence Berkeley Natl Lab, Berkeley, CA 94720 USA; 4.MIT, Sustainable Design Lab, 77 Massachusetts Ave, Cambridge, MA 02139 USA; 5.Signify Res North Amer, Cambridge, MA USA; 6.Univ Calif Berkeley, Dept City & Reg Planning, Berkeley, CA 94720 USA |
推荐引用方式 GB/T 7714 | Barbour, Edward,Davila, Carlos Cerezo,Gupta, Siddharth,et al. Planning for sustainable cities by estimating building occupancy with mobile phones[J]. NATURE COMMUNICATIONS,2019,10. |
APA | Barbour, Edward,Davila, Carlos Cerezo,Gupta, Siddharth,Reinhart, Christoph,Kaur, Jasleen,&Gonzalez, Marta C..(2019).Planning for sustainable cities by estimating building occupancy with mobile phones.NATURE COMMUNICATIONS,10. |
MLA | Barbour, Edward,et al."Planning for sustainable cities by estimating building occupancy with mobile phones".NATURE COMMUNICATIONS 10(2019). |
条目包含的文件 | 条目无相关文件。 |
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