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Indicator-based assessment of the liveability of communities in the Accra Metropolitan Area, Ghana: A transdisciplinary approach
Local knowledge of spatiotemporal patterns of liveability is vital for choosing where to live and where revitalisation efforts must concentrate. We employed transdisciplinary learning to identify 12 liveability indicators and applied them to assess the liveability of 81 communities of Accra, Ghana....
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Published in: | Social sciences & humanities open 2023, Vol.8 (1), p.100702, Article 100702 |
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Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | Local knowledge of spatiotemporal patterns of liveability is vital for choosing where to live and where revitalisation efforts must concentrate. We employed transdisciplinary learning to identify 12 liveability indicators and applied them to assess the liveability of 81 communities of Accra, Ghana. The results show that crime and rent are the top two most important liveability indicators. The least three indicators are the availability of jobs, entertainment, and flood susceptibility. Out of 81 communities grouped into five quantiles, ten fell in the 1st quantile (most liveable), 24 communities were in the 2nd quantile, 3rd had 24, 4th 17, and 5th nine communities respectively as least liveable. 1st quantile communities are mainly high-income communities, whiles 5th quantile communities are mainly middle-income communities that have become commercial areas. Not surprisingly, high-income communities like the Airport residential area, East Legon, and Dzorwolu all fall into the 2nd quantile as all these communities are gradually turning into mixed commercial and residential places. The study indicates that low-income communities lack social amenities and resources, which can be attributed to a lack of state social intervention policies. This may mean local administration systems (district assemblies) failing as Ghana's development agents. |
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ISSN: | 2590-2911 2590-2911 |
DOI: | 10.1016/j.ssaho.2023.100702 |