A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
A socio-spatial analysis of neighbour complaints using large-scale administrative data: The case in Brisbane, Australia
https://orcid.org/0000-0002-1612-779X
https://orcid.org/0000-0002-0914-0005
https://orcid.org/0000-0002-1809-7088
Abstract Large-scale administrative data collected by municipal government are increasingly being used by researchers to better understand a host of urban phenomena and the way they are patterned over space and time. In this paper, council data are used to explore the incidence of complaints about neighbours across urban neighbourhoods using a GIS-based spatial approach. Through an exploratory and a confirmatory factor analysis of the spatially extracted neighbour complaints data, we identify four types of neighbour complaints – animal related; building construction; property management issues; and health and visual amenity issues – that categorise neighbour problems. GIS technologies are applied to map the spatial distribution of each complaint type across the 218 suburbs, resulting in distinct patterns of neighbour complaints in Brisbane suburbs. Our research demonstrates the utility of naturally occurring administrative data as a means of learning more about the social life of urban areas.
Highlights We demonstrated the use of a large-scale administrative data to explore neighbour complaints across urban neighbourhoods We identified four types of neighbour complaints using an exploratory and a confirmatory factor analysis GIS techniques were applied to map the distinct patterns of neighbour complaints across the 218 Brisbane suburbs Our analysis provided deeper insights to the nature and spatial patterns of neighbour complaints in Australia's urban space
A socio-spatial analysis of neighbour complaints using large-scale administrative data: The case in Brisbane, Australia
https://orcid.org/0000-0002-1612-779X
https://orcid.org/0000-0002-0914-0005
https://orcid.org/0000-0002-1809-7088
Abstract Large-scale administrative data collected by municipal government are increasingly being used by researchers to better understand a host of urban phenomena and the way they are patterned over space and time. In this paper, council data are used to explore the incidence of complaints about neighbours across urban neighbourhoods using a GIS-based spatial approach. Through an exploratory and a confirmatory factor analysis of the spatially extracted neighbour complaints data, we identify four types of neighbour complaints – animal related; building construction; property management issues; and health and visual amenity issues – that categorise neighbour problems. GIS technologies are applied to map the spatial distribution of each complaint type across the 218 suburbs, resulting in distinct patterns of neighbour complaints in Brisbane suburbs. Our research demonstrates the utility of naturally occurring administrative data as a means of learning more about the social life of urban areas.
Highlights We demonstrated the use of a large-scale administrative data to explore neighbour complaints across urban neighbourhoods We identified four types of neighbour complaints using an exploratory and a confirmatory factor analysis GIS techniques were applied to map the distinct patterns of neighbour complaints across the 218 Brisbane suburbs Our analysis provided deeper insights to the nature and spatial patterns of neighbour complaints in Australia's urban space
A socio-spatial analysis of neighbour complaints using large-scale administrative data: The case in Brisbane, Australia
https://orcid.org/0000-0002-1612-779X
https://orcid.org/0000-0002-0914-0005
https://orcid.org/0000-0002-1809-7088
Abstract Large-scale administrative data collected by municipal government are increasingly being used by researchers to better understand a host of urban phenomena and the way they are patterned over space and time. In this paper, council data are used to explore the incidence of complaints about neighbours across urban neighbourhoods using a GIS-based spatial approach. Through an exploratory and a confirmatory factor analysis of the spatially extracted neighbour complaints data, we identify four types of neighbour complaints – animal related; building construction; property management issues; and health and visual amenity issues – that categorise neighbour problems. GIS technologies are applied to map the spatial distribution of each complaint type across the 218 suburbs, resulting in distinct patterns of neighbour complaints in Brisbane suburbs. Our research demonstrates the utility of naturally occurring administrative data as a means of learning more about the social life of urban areas.
Highlights We demonstrated the use of a large-scale administrative data to explore neighbour complaints across urban neighbourhoods We identified four types of neighbour complaints using an exploratory and a confirmatory factor analysis GIS techniques were applied to map the distinct patterns of neighbour complaints across the 218 Brisbane suburbs Our analysis provided deeper insights to the nature and spatial patterns of neighbour complaints in Australia's urban space
A socio-spatial analysis of neighbour complaints using large-scale administrative data: The case in Brisbane, Australia
Liu, Yan (author) / Cheshire, Lynda (author) / Wang, Siqin (author) / Fu, Xuanming (author)
Cities ; 90 ; 168-180
2019-02-16
13 pages
Article (Journal)
Electronic Resource
English
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