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Procedia Engineering
Article . 2015 . Peer-reviewed
License: CC BY NC ND
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Procedia Engineering
Article . 2015
License: CC BY NC ND
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Selection Framework for Evaluating Housing Technologies

Authors: Nanyam, VPS Nihar; Basu, Riddha; Sawhney, Anil; Prasad, J.K.;

Selection Framework for Evaluating Housing Technologies

Abstract

AbstractRecent survey by KPMG specifies that there is a requirement of 11 crore housing units to be built by 2022 in India. This leads to adoption of innovative technologies which have to be looked upon from the point of affordability as well as sustainability. As the Indian housing value chain is very complex, a plethora of factors and issues need to be addressed in this regard. Emerging technologies for building up the housing requirement are to be selected based on number of attributes. A scientific, holistic and transparent evaluation framework is not available to decide the appropriate technology. This paper highlights the evaluation framework consisting of mandatory attributes and preferred attributes, based on which the emerging housing technologies are selected for adoption. This framework is analyzed for two case studies to check the applicability.

Keywords

evaluation framework., housing technogies, multi-criteria, Attributes, affordibility, Engineering(all)

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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Top 10%
Top 10%
gold