Development of an urban health and wellbeing index for work precincts: A comparative study in Sydney, Australia

Biloria, N; Thomas, L; Dritsa, D; Candido, C; Brambilla, A; Gocer, O

Development of an urban health and wellbeing index for work precincts: A comparative study in Sydney, Australia

Biloria, N

Thomas, L Dritsa, D Candido, C Brambilla, A Gocer, O

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Publisher:: Elsevier BV
Publication Type:: Journal Article
Citation:: Frontiers of Architectural Research, 2022
Issue Date:: 2022-01-01

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Field	Value	Language
dc.contributor.author	Biloria, N https://orcid.org/0000-0003-3152-5187
dc.contributor.author	Thomas, L
dc.contributor.author	Dritsa, D
dc.contributor.author	Candido, C
dc.contributor.author	Brambilla, A
dc.contributor.author	Gocer, O
dc.date.accessioned	2022-01-28T06:04:27Z
dc.date.available	2022-01-28T06:04:27Z
dc.date.issued	2022-01-01
dc.identifier.citation	Frontiers of Architectural Research, 2022
dc.identifier.issn	2095-2635
dc.identifier.uri	http://hdl.handle.net/10453/153755
dc.description.abstract	Work precincts are recognized for their significant role as generators of employment and associated commerce within urban areas. This study describes a method for analyzing the physical characteristics of urban work precincts in promoting the health and wellbeing of their occupants. The following physical parameters are analyzed: public transport accessibility, green and blue spaces, food environments, fitness facilities, supermarkets, and grocery stores. The parameters are assessed using quantitative spatial analysis based on street network data, as well as point of interest data acquired from OpenStreetMap (OSM). The streets and their intersections are stored in the OSM database as links and nodes, respectively. The evaluation of the performance metrics involves measuring the street network distance from each node to the closest node of interest for each parameter. The metrics are then combined, forming an urban health and wellbeing index (UHWI), which can be used to compare the performance of different precincts. The method was tested by investigating four work precincts in Sydney, Australia, all hosting a large office building belonging to the same business institution. Our results identified two of the four precincts with a high UHWI and resulted in the identification of one underperforming precinct.
dc.language	en
dc.publisher	Elsevier BV
dc.relation.ispartof	Frontiers of Architectural Research
dc.relation.isbasedon	10.1016/j.foar.2021.12.003
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	1201 Architecture, 1202 Building, 1205 Urban and Regional Planning
dc.title	Development of an urban health and wellbeing index for work precincts: A comparative study in Sydney, Australia
dc.type	Journal Article
utslib.for	1201 Architecture
utslib.for	1202 Building
utslib.for	1205 Urban and Regional Planning
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	open_access	*
dc.date.updated	2022-01-28T06:04:21Z
pubs.publication-status	Published

Abstract:

Work precincts are recognized for their significant role as generators of employment and associated commerce within urban areas. This study describes a method for analyzing the physical characteristics of urban work precincts in promoting the health and wellbeing of their occupants. The following physical parameters are analyzed: public transport accessibility, green and blue spaces, food environments, fitness facilities, supermarkets, and grocery stores. The parameters are assessed using quantitative spatial analysis based on street network data, as well as point of interest data acquired from OpenStreetMap (OSM). The streets and their intersections are stored in the OSM database as links and nodes, respectively. The evaluation of the performance metrics involves measuring the street network distance from each node to the closest node of interest for each parameter. The metrics are then combined, forming an urban health and wellbeing index (UHWI), which can be used to compare the performance of different precincts. The method was tested by investigating four work precincts in Sydney, Australia, all hosting a large office building belonging to the same business institution. Our results identified two of the four precincts with a high UHWI and resulted in the identification of one underperforming precinct.

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http://hdl.handle.net/10453/153755