| Literature DB >> 34988053 |
Abstract
Whilst cities can be sites of creativity, innovation, and change, they can also reproduce the conditions for the exclusion of vulnerable groups. Older people report experiencing specific barriers to accessing the city and are often excluded from the resources for ageing well. The smart city agenda has attempted to bring about technological change whilst also delivering improved quality of life for urban citizens. Smart technologies are a key element of the smart city and are viewed as having the potential to support the independence, autonomy, and well-being of older people. Yet, there has been little research exploring the role of the smart city in supporting the social inclusion of older people, nor any attempt to link this with key policy drivers on ageing e.g., age-friendly cities and communities. In response, the aim of this paper is to explore the experiences of older people living in a smart city in China and discuss how the smart city and age-friendly agenda can be brought together to support positive social outcomes for older people. The paper presents qualitative findings from a multi-methods approach, including semi-structured interviews, walking interviews and focus groups. A total of 64 older people participated in the research across three diverse neighbourhoods in the case study smart city of Chongqing, China. The findings identified opportunities in the development and deployment of smart city, including the potential for improved health and well-being and social connectedness. Yet in delivering on these benefits, a number of challenges were identified which may widen social inequalities, including inequities in access, issues of safety and security, and exclusion from the co-production of smart city policy and practise. The paper discusses the implications of the findings for future smart city policy and practise, specifically in delivering interventions that support older adults' social inclusion and the delivery of age-friendly cities and communities.Entities:
Keywords: age friendly city; ageing; smart cities; smart technology; social inclusion; urban communities
Mesh:
Year: 2021 PMID: 34988053 PMCID: PMC8721664 DOI: 10.3389/fpubh.2021.779913
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Comparative information across three case study communities.
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| Shiyoulu community | 71,154 | 22,462/km2 | 5,773 | 8.1 | Medium | - Mix of old and new residential and commercial buildings; | Smart community at the national level |
| Hualongqiao community | 15,806 | 4,718/km2 | 1,390 | 8.8 | High | - Urban redevelopment area with new and modern residential buildings, mixed type retaining many historical and cultural buildings; | Involved in the district smart city plan |
| Dahuanglu Community | 81,658 | 36,110/km2 | 7,915 | 9.7 | Low | - Housing stock is dense and of poor quality, with limited green space and utilities/amenities. | Involved in district smart city plan |
Sample of participant older people's characteristics.
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| Semi-structured interview | 10 | 6 | 7 | |
| Focus group | 6 | 8 | 6 | |
| Walking interviews | 6 | 7 | 8 | |
| 22 | 21 | 21 | ||
| Age | ||||
| Mean | 74.91 | 72.8 | 70.0 | |
| Min. | 60 | 60 | 62 | |
| Max. | 90 | 86 | 84 | |
| Median | 75 | 73 | 69 | |
| Gender | ||||
| Female | 13 | 16 | 10 | |
| Male | 9 | 5 | 11 | |
| Living arrangements | ||||
| Living alone | 2 | 2 | 6 | |
| Living with others | 20 | 19 | 8 | |
| Employment status | ||||
| Retired | 20 | 15 | 20 | |
| Employed | 0 | 6 | 1 | |
| Volunteer job | 0 | 0 | 1 | |
| Unemployed | 2 | 0 | 0 | |
| Years living in area (unit: years) | ||||
| Min. | 0.08 | 5 | 2 | |
| Max. | 50 | 60 | 62 | |
| Mean | 9.76 | 26.0 | 8 | |
| Median | 10 | 17 | 5 | |
| Income status (GBP) | ||||
| Max. | £555.56 | £1,111.11 | £666.67 | |
| Min. | £8.89 | £111.11 | £222.22 | |
| Mean | £308.89 | £356.08 | £407.41 | |
| Median | £333.33 | £333.33 | £333.33 | |
| Landlord registration | ||||
| Landlord | 15 | 16 | 12 | |
| Not landlord | 7 | 5 | 9 | |
| Education | ||||
| No qualification | 5 | 3 | 0 | |
| Low | 2 | 0 | 2 | |
| Middle | 5 | 15 | 13 | |
| High | 5 | 3 | 6 | |
1. Educational level is indexed on a four point scale (no qualification = non-educational; low = elementary education and lower vocational education; middle = secondary education and vocational education; High = college, university education, and scientific education).
2. Referring to the exchange rate on 9 MAR. 2020, 1GBP equals to 9CNY.
Themes and sub-themes from the thematic analysis.
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| Challenges to delivering social inclusion for older people through smart cities | Reinforcing social exclusion and inequality through smart cities |
| Changing technologies, smart interventions and older people's requirements | |
| Insecurity arising from cybersecurity and privacy issues through using smart technology | |
| Opportunities to support social inclusion through smart cities | Digital technologies to enhance social connectedness of older people |
| Technology to support mental and physical health well-being of older people |
Public Participation and (Dis)empowerment in Smart Cities.