2006
DOI: 10.1007/s11116-006-0007-3
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The effect of location, mobility and socio-demographic factors on task and time allocation of households

Abstract: This paper investigates the role of location factors in task and time allocation at the household level. It is hypothesized that, if time constraints are less binding as a result of living in an urban area or owning more cars, spouses engage more often and longer in out-of-home activities and schedule their activities more independently. The hypotheses are tested with logistic and Cox regression models of activity participation and time allocation on a data set collected in the AmsterdamUtrecht region in the N… Show more

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Cited by 66 publications
(41 citation statements)
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References 12 publications
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“…This major effect of time constraints is plausible because it is hard to make time for sports activities when handling busy work-and private-life schedules with multiple responsibilities and interests. Again, this finding confirms earlier studies indicating time pressure for these population segments (Ettema, Schwanen, & Timmermans, 2007;Bianchi & Mattingly, 2003;Crompton & Lyonette, 2006;Portegijs et al, 2016). Our results did not support the hierarchical proposition of the leisure constraints theory (Crawford et al, 1991;Crawford & Godbey, 1987;Godbey et al, 2010), which states that intrapersonal constraints (physical/psychological and skills/knowledge constraints), and subsequently interpersonal constraints (partner constraints), are more important in determining sports frequency than structural constraints (time, accessibility and sports facility/supply constraints).…”
Section: Interpretation Of the Main Findings Of Effects On Sports Fresupporting
confidence: 92%
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“…This major effect of time constraints is plausible because it is hard to make time for sports activities when handling busy work-and private-life schedules with multiple responsibilities and interests. Again, this finding confirms earlier studies indicating time pressure for these population segments (Ettema, Schwanen, & Timmermans, 2007;Bianchi & Mattingly, 2003;Crompton & Lyonette, 2006;Portegijs et al, 2016). Our results did not support the hierarchical proposition of the leisure constraints theory (Crawford et al, 1991;Crawford & Godbey, 1987;Godbey et al, 2010), which states that intrapersonal constraints (physical/psychological and skills/knowledge constraints), and subsequently interpersonal constraints (partner constraints), are more important in determining sports frequency than structural constraints (time, accessibility and sports facility/supply constraints).…”
Section: Interpretation Of the Main Findings Of Effects On Sports Fresupporting
confidence: 92%
“…Time constraints were associated with having children living at home and working hours but not with (disadvantaged) social class, which was also found in adolescents by Shores et al (2007). Because these variables are highly significant and have relatively large effect sizes, these findings confirm outcomes of previous studies indicating the existence of time pressure for these groups of individuals in relation to participation in leisure activities (Ettema, Schwanen, & Timmermans, 2007;Bianchi & Mattingly, 2003;Crompton & Lyonette, 2006;Portegijs, Cloïn, Roodsaz, & Olsthoorn, 2016).…”
Section: Too Busy or Too Far Away?supporting
confidence: 85%
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“…These tasks can be included more easily in the overall activity schedules of men living there because travel times are shorter and there are more opportunities to combine household tasks with other activities (Ettema et al, 2007;Hanson, 1982).…”
Section: Theory and Hypothesesmentioning
confidence: 99%
“…These attributes were selected as they represent a mix of information about the type of activity, the travel, relative time the activity took place, activity duration, and features of the person involved that have been shown to be highly related both intra-event and inter-event in predicting traveler activity patterns [17,18]. Thus, the dataset can be thought of as a database of sequences of events with the set of attribute values at each event being highly related.…”
Section: Methodsmentioning
confidence: 99%