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Open AccessArticle

Literature Review of Net Zero and Resilience Research of the Urban Environment: A Citation Analysis Using Big Data

1
School of Architecture, Planning and Preservation, University of Maryland, College Park, MD 20742, USA
2
Department of Environmental Science and technology, University of Maryland, College Park, MD 20742, USA
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Author to whom correspondence should be addressed.
Energies 2019, 12(8), 1539; https://doi.org/10.3390/en12081539
Received: 25 March 2019 / Revised: 18 April 2019 / Accepted: 22 April 2019 / Published: 24 April 2019
According to the fifth Intergovernmental Panel on Climate Change (IPCC) assessment report, the urban environment is responsible for between 71% and 76% of carbon emissions from global final energy use and between 67% and 76% of global energy use. Two important and trending domains in urban environment are “resilience” and “net zero” associated with high-performance design, both of which have their origins in ecology. The ultimate goal of net zero energy has become the ultimate “high-performance” standard for buildings. Another emerging index is the measurement and improvement of the resilience of buildings. Despite the richness of research on net zero energy and resilience in the urban environment, literature that compares net zero energy and resilience is very limited. This paper provides an overview of research activities in those two research domains in the past 40 years. The purpose of this review is to (1) explore the shared ecological roots of the two domains, (2) identify the main research areas/clusters within each, (3) gain insight into the size of the different research topics, and (4) identify any research gaps. Finally, conclusions about the review focus on the major difference between the net zero movement and resilience theory in the urban environment and their respective relations to their ecological origins. View Full-Text
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Hu, M.; Pavao-Zuckerman, M. Literature Review of Net Zero and Resilience Research of the Urban Environment: A Citation Analysis Using Big Data. Energies 2019, 12, 1539.

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