A grounded visualization approach to explore sociospatial and temporal complexities of older adults' mobility

Activity spaces in studies of the environment and physical activity: A review and synthesis of implications for causality

“…Samples were studied for all age groups with most drawn from adult (n = 22) populations. Some targeted females (Rodríguez et al, 2012; Rodriguez et al, 2015), lower income participants (Hirsch et al, 2016; Franke et al, 2017), university members (Kamruzzaman et al, 2011; Vich et al, 2017), e-bike owners (Plazier et al, 2017), or those living in subsidised housing (Colabianchi et al, 2014). Most studies were solely cross-sectional in design (n = 43) and four assessed activity spaces in relation to an intervention (Kamruzzaman et al, 2011; Kosaka et al, 2014; Chaix et al, 2017; Tribby et al, 2017).…”

“…Some studies addressed differences between potential access and actual usage by capturing broader spaces experienced over a day or week to identify a range of spaces that may be accessible to an individual, or by comparing features within an activity space with those accessible from a home address (Zenk et al, 2011; Chaix et al, 2016; Hirsch et al, 2016; Rundle et al, 2016). Ten studies used qualitative analysis to understand why particular environments were chosen for use (Vine et al, 2012; Bell et al, 2015b, 2015a; Milton et al, 2015; Loebach and Gilliland, 2016b; Meijering and Weitkamp, 2016; Franke et al, 2017; Plazier et al, 2017; Yoo and Kim, 2017; Hand et al, 2018).…”

“…Only four longitudinal studies were included in the review (Rodríguez et al, 2012; Franke et al, 2017; Sanchez et al, 2017; Tribby et al, 2017) which limits the causal inferences that can be made. Assessing changes in the environment, locations of activity, or anchor points over time may provide an understanding of whether this increases physical activity and could strengthen the basis for causality inference.…”

“…Assessing changes in the environment, locations of activity, or anchor points over time may provide an understanding of whether this increases physical activity and could strengthen the basis for causality inference. One study used geo-referenced qualitative data to investigate why older adults chose to be active in different places (Franke et al, 2017) and another assessed temporal differences in associations between the built environment and MVPA in adolescent girls (Rodríguez et al, 2012). Both observed changes in physical activity and environmental interactions over time.…”

Webs of Care: Qualitative GIS Research on Aging, Mobility, and Care Relations in Singapore

“…Several QualiGIS projects have worked with small sample sizes and adapted their data collection and analyses to suit their research goals (e.g., Jones, Drury, and McBeath 2011;Naybor, Poon, and Casas 2016). A few focused on older adults (e.g., Zeitler et al 2012;Milton et al 2015;Zeitler and Buys 2015;Franke et al 2017), deriving data from a combination of GPS tracking, travel diaries, surveys, and semistructured interviews. Likewise, we leverage our small sample size by using qualitative, quantitative, and visualization methods reiteratively to develop richer and nuanced analyses of the care routines and relations that make up the care assemblages examined in this article.…”