Overlaps in space utilisation patterns and IEQ conditions observed in Activity-Based Working supportive office

Gocer, O; Candido, C; Gocer, K; Brambilla, A; Thomas, L; Biloria, N; Mackey, M; Alizadeh, T; Sarkar, S

Overlaps in space utilisation patterns and IEQ conditions observed in Activity-Based Working supportive office

Gocer, O Candido, C Gocer, K Brambilla, A Thomas, L

Biloria, N

Mackey, M Alizadeh, T Sarkar, S

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Publisher:: Elsevier
Publication Type:: Journal Article
Citation:: Building and Environment, 2022, 220, pp. 109273-109273
Issue Date:: 2022-07-15

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Field	Value	Language
dc.contributor.author	Gocer, O
dc.contributor.author	Candido, C
dc.contributor.author	Gocer, K
dc.contributor.author	Brambilla, A
dc.contributor.author	Thomas, L https://orcid.org/0000-0003-0707-9260
dc.contributor.author	Biloria, N https://orcid.org/0000-0003-3152-5187
dc.contributor.author	Mackey, M
dc.contributor.author	Alizadeh, T
dc.contributor.author	Sarkar, S
dc.date.accessioned	2022-12-01T09:42:19Z
dc.date.available	2022-12-01T09:42:19Z
dc.date.issued	2022-07-15
dc.identifier.citation	Building and Environment, 2022, 220, pp. 109273-109273
dc.identifier.issn	0360-1323
dc.identifier.issn	1873-684X
dc.identifier.uri	http://hdl.handle.net/10453/164013
dc.description.abstract	One of the potential positive aspects of spaces designed to support Activity-Based Working (ABW) concept is to allow people to choose to work from zones that suit their Indoor Environmental Quality (IEQ) preferences. The vast majority of studies reporting findings relevant to IEQ performance of ABW spaces rely on spot measurements and/or subjective surveys and as such it is difficult to map longitudinal actual utilisation patterns and IEQ performance. This study contributes to this topic by analyzing a longitudinal dataset of space utilisation of an ABW over a twelve-month period. Analysis aims to identify overlaps between space utilisation patterns and expected IEQ performance in order to understand which types of zones occupants seem to prefer to work from. Occupants’ demographics (age and gender) were also analyzed with respect to the use of space. Further, specific physical markers were investigated, namely proximity to window, air-conditioning outlets, and high-low noise locations. The impact of physical markers on workplace choice was classified and predicted during a day using a decision-tree diagram developed on the basis of the CHAID algorithm. Overall, workers tended to choose to work within the inner zones (after 11 a.m.) during winter. Findings show that female workers moved away from air-conditioning outlets. Additionally, female workers worked from workstations situated in high and medium noise zones. Results illustrated the potential to use utilisation datasets to understand how workers move away or towards zones in response to expected IEQ performance - thermal comfort (cold/warm), acoustics (noisy/quiet), and access to the outdoor environment/view (window) proximity.
dc.language	English
dc.publisher	Elsevier
dc.relation	Commonwealth Bank of Australia
dc.relation.ispartof	Building and Environment
dc.relation.isbasedon	10.1016/j.buildenv.2022.109273
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0502 Environmental Science and Management, 1201 Architecture, 1202 Building
dc.subject.classification	Building & Construction
dc.title	Overlaps in space utilisation patterns and IEQ conditions observed in Activity-Based Working supportive office
dc.type	Journal Article
utslib.citation.volume	220
utslib.for	0502 Environmental Science and Management
utslib.for	1201 Architecture
utslib.for	1202 Building
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building/School of Architecture
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2022-12-01T09:42:13Z
pubs.publication-status	Published
pubs.volume	220

Abstract:

One of the potential positive aspects of spaces designed to support Activity-Based Working (ABW) concept is to allow people to choose to work from zones that suit their Indoor Environmental Quality (IEQ) preferences. The vast majority of studies reporting findings relevant to IEQ performance of ABW spaces rely on spot measurements and/or subjective surveys and as such it is difficult to map longitudinal actual utilisation patterns and IEQ performance. This study contributes to this topic by analyzing a longitudinal dataset of space utilisation of an ABW over a twelve-month period. Analysis aims to identify overlaps between space utilisation patterns and expected IEQ performance in order to understand which types of zones occupants seem to prefer to work from. Occupants’ demographics (age and gender) were also analyzed with respect to the use of space. Further, specific physical markers were investigated, namely proximity to window, air-conditioning outlets, and high-low noise locations. The impact of physical markers on workplace choice was classified and predicted during a day using a decision-tree diagram developed on the basis of the CHAID algorithm. Overall, workers tended to choose to work within the inner zones (after 11 a.m.) during winter. Findings show that female workers moved away from air-conditioning outlets. Additionally, female workers worked from workstations situated in high and medium noise zones. Results illustrated the potential to use utilisation datasets to understand how workers move away or towards zones in response to expected IEQ performance - thermal comfort (cold/warm), acoustics (noisy/quiet), and access to the outdoor environment/view (window) proximity.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/164013