Knowledge from data in the built environment

Data feedback is changing our relationship to the built environment. Both traditional and new sources of data are developing rapidly, compelled by efforts to optimize the performance of human habitats. However, there are many obstacles to the successful implementation of information‐centered environ...

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Bibliographic Details
Published in:Annals of the New York Academy of Sciences Vol. 1295; no. 1; pp. 1 - 9
Main Authors: Starkey, Christopher, Garvin, Chris
Format: Journal Article
Language:English
Published: United States Blackwell Publishing Ltd 01.08.2013
Wiley Subscription Services, Inc
Subjects:
analytics
Built environment
data
Databases, Factual - statistics & numerical data
Databases, Factual - trends
Environment Design - statistics & numerical data
Environment Design - trends
Facility Design and Construction - statistics & numerical data
Facility Design and Construction - trends
Humans
simulation
Statistics as Topic - trends
sustainability
Urban environments
analytics
built environment
data
sustainability
simulation
ISSN:0077-8923, 1749-6632, 1749-6632
Online Access:Get full text
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Summary:Data feedback is changing our relationship to the built environment. Both traditional and new sources of data are developing rapidly, compelled by efforts to optimize the performance of human habitats. However, there are many obstacles to the successful implementation of information‐centered environments that continue to hinder widespread adoption. This paper identifies these obstacles and challenges and describes emerging data‐rich analytic techniques in infrastructure, buildings, and building portfolios. Further, it speculates on the impact that a robust data sphere may have on the built environment and posits that linkages to other data sets may enable paradigm shifts in sustainability and resiliency.
Bibliography:ark:/67375/WNG-V6X0V65V-1
ArticleID:NYAS12202
istex:C4A3BC8154F83A572A36ED6739EA92E61AFFC88E
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ObjectType-Review-3
content type line 23
ISSN:0077-8923
1749-6632
1749-6632
DOI:10.1111/nyas.12202