2012
DOI: 10.1016/j.jtrangeo.2012.03.019
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Bringing emotions to time geography: the case of mobilities of poverty

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Cited by 83 publications
(37 citation statements)
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References 26 publications
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“…Few studies that have not already been discussed above can be identified that provide support for the supposed pathway. Some previously discussed studies (Rajé, 2007;Ziegler and Schwanen, 2011;McQuoid and Dijst, 2012;Schwanen et al, 2012) hint at some of the pathways but none engages them in depth.…”
Section: 4| Starting From Social Exclusionmentioning
confidence: 99%
“…Few studies that have not already been discussed above can be identified that provide support for the supposed pathway. Some previously discussed studies (Rajé, 2007;Ziegler and Schwanen, 2011;McQuoid and Dijst, 2012;Schwanen et al, 2012) hint at some of the pathways but none engages them in depth.…”
Section: 4| Starting From Social Exclusionmentioning
confidence: 99%
“…Through an analysis of homeless people in Los Angeles, Rowe and Wolch (1990), demonstrate that individuals whose daily activity paths are dedicated to securing basic subsistence may have to sacrifice longer-term goals such as escaping from homelessness. A related argument is made by McQuoid and Dijst (2012) who show how everyday time-geographic constraints play a central role in solidifying precarious life situations for low-income, single mothers in the San Francisco area. These studies suggest that time-geographic constraints in the present impact upon future life course trajectories in various ways or, in the case of Schwanen and Wang (2014), that thoughts about the future have an impact upon decisions made about the present.…”
Section: The Times and Temporalities Of Precarious Workmentioning
confidence: 99%
“…Scholars and researchers have paid close attention to human behaviour patterns in WebGIS finding certain regularities. Research has focused on either the repetitive characteristics in access to geospatial data (Fisher 2007, Wang et al 2010, or the spatial attributes and correlations found in browsed geospatial data (Park and Kim 2001, Xing and Ma 2003, Sample and Loup 2010; Other research identified demonstrating spatiotemporal regularities or trends in user access behaviour (Lee andKwan 2011, Mcquoid andDijst 2012). These regularities provide critical cues for WebGIS system design and maintenance (Mountrakis and Gunson 2009, Sedda et al 2011, Achakeev et al 2012).…”
Section: Related Workmentioning
confidence: 99%