A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Measuring spatial inequality of urban park accessibility and utilisation: A case study of public housing developments in Auckland, New Zealand
https://orcid.org/0000-0003-3906-9657
https://orcid.org/0000-0002-3559-8984
https://orcid.org/0000-0002-1850-1765
Highlights We created four new metrics to better understand how people utilise green spaces. New utilisation metrics are easily reproducible and can be applied to other case study locations and population groups. People who live in Auckland’s Public housing areas have access to fewer and generally smaller parks. People who live in Auckland’s areas with no public housing use parks closer to home.
Abstract Poor spatial accessibility of urban green spaces affects disadvantaged populations, who are at greater risk of socioeconomic related health inequalities. We analyse mobile phone locational data from the Auckland Region of New Zealand to connect a user's 'home' location to nearby urban parks, specifically focusing on public housing tenants - a highly vulnerable group at greater risk of health inequalities. We use a number of traditional accessibility measures and four new park utilisation analyses to explore the relationship between accessibility to urban parks, neighbourhood area deprivation, and user's patterns of actual park usage. We develop four new metrics to assist in understanding the actual utilisation of green spaces available to residents: distance between closest park available and visited (DAT), used park opportunities (UPO), locality of park visits (LPV), and nearest park visitation rate (NPVR). We found that neighbourhoods with the most public housing tend to have a lower number of parks accessible, and those that are accessible are smaller in size. Additionally, people living in these areas tend to travel farther to access urban parks compared to areas with no public housing. More deprived neighbourhoods were revealed to have lower accessibility to urban greens in Auckland, highlighting the urgency to address the emerging divisions in accessibility and opportunities for these neighbourhoods. Our findings have important implications for policy-makers and urban planners. Furthermore, the use of mobile phone locational data can reveal insights into the mobility behaviour of users and can be applied to other locations and population groups.
Measuring spatial inequality of urban park accessibility and utilisation: A case study of public housing developments in Auckland, New Zealand
https://orcid.org/0000-0003-3906-9657
https://orcid.org/0000-0002-3559-8984
https://orcid.org/0000-0002-1850-1765
Highlights We created four new metrics to better understand how people utilise green spaces. New utilisation metrics are easily reproducible and can be applied to other case study locations and population groups. People who live in Auckland’s Public housing areas have access to fewer and generally smaller parks. People who live in Auckland’s areas with no public housing use parks closer to home.
Abstract Poor spatial accessibility of urban green spaces affects disadvantaged populations, who are at greater risk of socioeconomic related health inequalities. We analyse mobile phone locational data from the Auckland Region of New Zealand to connect a user's 'home' location to nearby urban parks, specifically focusing on public housing tenants - a highly vulnerable group at greater risk of health inequalities. We use a number of traditional accessibility measures and four new park utilisation analyses to explore the relationship between accessibility to urban parks, neighbourhood area deprivation, and user's patterns of actual park usage. We develop four new metrics to assist in understanding the actual utilisation of green spaces available to residents: distance between closest park available and visited (DAT), used park opportunities (UPO), locality of park visits (LPV), and nearest park visitation rate (NPVR). We found that neighbourhoods with the most public housing tend to have a lower number of parks accessible, and those that are accessible are smaller in size. Additionally, people living in these areas tend to travel farther to access urban parks compared to areas with no public housing. More deprived neighbourhoods were revealed to have lower accessibility to urban greens in Auckland, highlighting the urgency to address the emerging divisions in accessibility and opportunities for these neighbourhoods. Our findings have important implications for policy-makers and urban planners. Furthermore, the use of mobile phone locational data can reveal insights into the mobility behaviour of users and can be applied to other locations and population groups.
Measuring spatial inequality of urban park accessibility and utilisation: A case study of public housing developments in Auckland, New Zealand
https://orcid.org/0000-0003-3906-9657
https://orcid.org/0000-0002-3559-8984
https://orcid.org/0000-0002-1850-1765
Highlights We created four new metrics to better understand how people utilise green spaces. New utilisation metrics are easily reproducible and can be applied to other case study locations and population groups. People who live in Auckland’s Public housing areas have access to fewer and generally smaller parks. People who live in Auckland’s areas with no public housing use parks closer to home.
Abstract Poor spatial accessibility of urban green spaces affects disadvantaged populations, who are at greater risk of socioeconomic related health inequalities. We analyse mobile phone locational data from the Auckland Region of New Zealand to connect a user's 'home' location to nearby urban parks, specifically focusing on public housing tenants - a highly vulnerable group at greater risk of health inequalities. We use a number of traditional accessibility measures and four new park utilisation analyses to explore the relationship between accessibility to urban parks, neighbourhood area deprivation, and user's patterns of actual park usage. We develop four new metrics to assist in understanding the actual utilisation of green spaces available to residents: distance between closest park available and visited (DAT), used park opportunities (UPO), locality of park visits (LPV), and nearest park visitation rate (NPVR). We found that neighbourhoods with the most public housing tend to have a lower number of parks accessible, and those that are accessible are smaller in size. Additionally, people living in these areas tend to travel farther to access urban parks compared to areas with no public housing. More deprived neighbourhoods were revealed to have lower accessibility to urban greens in Auckland, highlighting the urgency to address the emerging divisions in accessibility and opportunities for these neighbourhoods. Our findings have important implications for policy-makers and urban planners. Furthermore, the use of mobile phone locational data can reveal insights into the mobility behaviour of users and can be applied to other locations and population groups.
Measuring spatial inequality of urban park accessibility and utilisation: A case study of public housing developments in Auckland, New Zealand
Colbert, Jessie (author) / Chuang, I-Ting (author) / Sila-Nowicka, Katarzyna (author)
2024-03-21
Article (Journal)
Electronic Resource
English
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