2020
DOI: 10.1007/s10708-020-10240-1
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Socio-demographic determinants of place attachment in Gauteng, South Africa, using partial proportional odds models

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Cited by 3 publications
(3 citation statements)
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“…In investigating factors that can predict place attachment in a socio-economically and demographically diverse area such as South Africa, ref. [39] found that factors such as population group were a strong predictor of place attachment. Seeing the lack of similar studies within an insular, tropical island, ref.…”
Section: Place Attachment In Residential Satisfactionmentioning
confidence: 98%
“…In investigating factors that can predict place attachment in a socio-economically and demographically diverse area such as South Africa, ref. [39] found that factors such as population group were a strong predictor of place attachment. Seeing the lack of similar studies within an insular, tropical island, ref.…”
Section: Place Attachment In Residential Satisfactionmentioning
confidence: 98%
“…There has been significant scholarly interest in analyzing the determinants of place attachment in different residential environments (Livingston et al 2010; Bailey et al 2012). Place attachment studies analyze its various dimensions (Livingston et al 2010; Anton and Lawrence 2014), while others examine its socio‐economic and physical predictors (Lewicka 2010; Kamalipour et al 2012; Akinjokun et al 2018; Adewale et al 2020; Dlamini et al 2020). Lewicka (2011) argues that place attachment varies by age, length of residence, socio‐economic status, and the ability of local places to provide life opportunities to their residents.…”
Section: Introductionmentioning
confidence: 99%
“…Very few studies have examined characteristics influencing place attachment in sub‐Saharan Africa. Dlamini et al (2020) examined factors shaping place attachment in Gauteng Province (South Africa). Although their study revealed significant influence of socio‐demographic variables (e.g., age, socio‐economic status) on place attachment, these results cannot be generalized to the neighbourhood level because of the differences in environmental characteristics like access to services, infrastructure conditions, and other socio‐economic and physical attributes.…”
Section: Introductionmentioning
confidence: 99%