Proceedings of the 2016 International Conference on Education, Management, Computer and Society

Identifying Occupant Patterns in a Super-tall Building Through the Theory of Planned Behavior Model

Authors
Ma Limin, Arevalo Nataly, Wang Qian
Corresponding Author
Ma Limin
Available Online January 2016.
DOI
10.2991/emcs-16.2016.182How to use a DOI?
Keywords
Component; Super-tall building;Behavior;Occupant patterns
Abstract

Substantial energy, water, and solid waste savings can be achieved by user behavior detection and consumption patterns. This empirical research proposes a systematic framework with the adoption of mixed methods approach. Qualitative data is based on the Theory of Planned Behavior model (TPB), which analyses personal and situational variables detecting the consumption awareness of the building occupant, as the first research objective. This research aims to provide new management to promote a positive and sustainable behavior shift. A survey was conducted to provide an “ultimate status” of the building user behavior. The survey method is considered most adequate for the building user due to the direct contact with preferences and habits. Inclusion criteria focused on men and women FTW (full time workers) in the super-tall building. Finally, the results were computed, measured, and analyzed by Statistical Package for the Social Sciences (SPSS). The findings demonstrate the type and frecuency of plugging personal appliances, the building water consumption above baselines levels, the most generated solid waste in the building, and the enviornmental and consumption awareness of the user. Moreover it was possible to understand and rank the building user’s behaviors, preferences, and awareness that could modify the building consumption. Under the conclusion section it was proposed new potential strategies to be developed further as pilot projects in super-tall buildings.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 International Conference on Education, Management, Computer and Society
Series
Advances in Computer Science Research
Publication Date
January 2016
ISBN
10.2991/emcs-16.2016.182
ISSN
2352-538X
DOI
10.2991/emcs-16.2016.182How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Ma Limin
AU  - Arevalo Nataly
AU  - Wang Qian
PY  - 2016/01
DA  - 2016/01
TI  - Identifying Occupant Patterns in a Super-tall Building Through the Theory of Planned Behavior Model
BT  - Proceedings of the 2016 International Conference on Education, Management, Computer and Society
PB  - Atlantis Press
SP  - 748
EP  - 751
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcs-16.2016.182
DO  - 10.2991/emcs-16.2016.182
ID  - Limin2016/01
ER  -