2023
DOI: 10.1080/26395916.2022.2162968
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Measuring sense of place in social-ecological systems: a review of literature and future research needs

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Cited by 14 publications
(3 citation statements)
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“…In the Middle East, the focus of the study was on Turkey, and Iran, while Arabian countries are the least represented in this region. This distribution of studies, shown in Figure 2, aligns with findings from other research that indicates a focus of research in this field on privileged populations (the Global North) [14,15,16].…”
Section: The Significance Of Geographical Context In the Study Of The...supporting
confidence: 86%
See 1 more Smart Citation
“…In the Middle East, the focus of the study was on Turkey, and Iran, while Arabian countries are the least represented in this region. This distribution of studies, shown in Figure 2, aligns with findings from other research that indicates a focus of research in this field on privileged populations (the Global North) [14,15,16].…”
Section: The Significance Of Geographical Context In the Study Of The...supporting
confidence: 86%
“…Mixed methods were most frequently used to include both the quantitative and qualitative aspects of these concepts. They were most frequently used to collect data, with surveys and interviews being the most popular methods [14]. Another emerging trend in this domain is the adoption of frequently used models from the literature, such as: PA scale by Williams and Vaske [84] which was used in [25,66] Community-Dwelling Older Adults (PACOA) scale [73], the Fuzzy Analytic Network Process (FANP) model [69], the Place Attachment Scale by Lewicka [6], the Urban Identity Scale of Lalli [7], and the Abbreviated PA Scale (APAS) [31].…”
Section: Operationalization Of Place Attachment and Sense Of Place In...mentioning
confidence: 99%
“…The human team consisted of ve humans (PT, JD, DK, RS, RAJ) with expertise in undertaking various forms of evidence synthesis (e.g. (Duggan et al, 2023;Karcher et al, 2021)). The AI team consisted of four humans (SS, MA, FB, RT) with modelling expertise, who employed a Generative Pre-trained Transformer model (GPT), a proprietary AI large language model developed by OpenAI (Brown et al, 2020), to produce outputs.…”
mentioning
confidence: 99%