Examining the relationships between individual’s time use and activity participations with their health indicators

Susilo, Yusak O.; Liu, Chengxi

doi:10.1007/s12544-017-0243-y

Cited by 11 publications

(4 citation statements)

References 44 publications

(50 reference statements)

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“…Young non-employed males from small households showed the highest PH and SH, as in a previous study in a developing country context (Susilo and Liu, 2017). Females tend to perform major responsibilities in household and childcare activities in both developed (Lyons et al, 2013;Sullivan and Gershuny, 2013) and developing countries (Dharmowijoyo et al, , 2021, including female workers.…”

Section: Physical and Social Health (Ph Hi And Sh Hi )supporting

confidence: 72%

On the role of subjective well-being in mediating the relationship between spatiotemporal and health variables

Dharmowijoyo,

Cherchi,

Ahmad Termida

et al. 2023

Journal of Transport & Health

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Section: Physical and Social Health (Ph Hi And Sh Hi )supporting

confidence: 72%

On the role of subjective well-being in mediating the relationship between spatiotemporal and health variables

Dharmowijoyo,

Cherchi,

Ahmad Termida

et al. 2023

Journal of Transport & Health

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“…It is also worth considering health variables as additional proxies for capability constraints [14,35]. These variables can explain why people limit or perform some activities including multitasking due to their physical, social, or mental health conditions, which are difficult to discover in terms of traditional activity duration, socio-demographic, and built environment variables.…”

Section: Multitasking Activitiesmentioning

confidence: 99%

“…Ohmori and Harata [13] and Malokin et al [9] collected activity durations over a single day and ignored the variations in activity and travel duration on a daily basis. Susilo and Liu [14,15] investigated the effects of day-to-day variability and BE on health, but any correlation between BE, health, and multitasking activities was overlooked.…”

Section: Introductionmentioning

confidence: 99%

Residential Locations and Health Effects on Multitasking Behaviours and Day Experiences

2021

Self Cite

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There has been a substantial amount of research on travel-based multitasking and its effect on travel and life satisfaction. Previous studies, however, have not considered the effect of built environment, health, and daily activity duration on such analyses. There is also a lack of knowledge about the effect of such multitasking on individuals’ daily experience and how built environment, health, and activity duration correlate with one’s daily satisfaction and cognitive well-being. The inclusion of time-space prism elements provides deeper insights into reasons and trade-off behaviours of individuals engaging in multitasking, through explaining interdependencies between trips and multitasking behaviours and their impacts on their activity engagement satisfaction and well-being appreciation. Using a three-week time-use diary from Indonesia, this study found that the influences of built environment and physical health on multitasking activities are relatively stronger than activity duration and trip parameters. The results also demonstrated positive correlations between polycentric city designs and people’s day experiences. Whilst evidence from developed countries has shown that the effect of gender on multitasking is significant, this study found that the gender effects on multitasking activities participation were weaker than built environment and physical health factors.

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“…Generalizing from this example, although research exists on the well-being effects of (motivations for) relocation [29,59], spatial models of well-being are likely to be incomplete unless we first succeed in modeling residential location choice-based on factors that likely include aspirations and age-and then ensure these same factors are included in the well-being model. Established agent-based residential location choice models may be suited to this task (http://silo.zone/hhRelocation.html; http://www.urbansim.com/urbansim/) and, as people typically also spend time in places other than their home location, time use models may also be suitable [60,61]. The importance of modeling at the level of the individual has long been acknowledged in epidemiology, and agent modeling may well have further application here.…”

Section: Case Study 4: Spatial Models Of Well-beingmentioning

confidence: 99%

Quantitative Models of Well-Being to Inform Policy: Problems and Opportunities

Cooper

2020

Sustainability

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Subjective well-being, in contrast to other commonly used performance metrics such as gross domestic product, appears to offer a way to directly measure what society aims to achieve. Subjective well-being modeling to date has been restricted to regression analysis. This paper synthesizes and critiques existing literature and case studies to examine the challenges and opportunities presented by more advanced computations of well-being, including spatial, optimizing and spatial-optimizing models, which may well be created by researchers in the future if current policy level interest in well-being continues to grow. Subjective well-being is a promising measure, especially in light of recent research that shows reliable correlations with objective measures. However, the issue of individual adaptation means that excessive focus on subjective well-being may discriminate against groups with lower expectations and higher ability and/or willingness to adapt. Alternative approaches such as equivalent income may address this issue, at the expense of being harder to measure. Through an examination of four case studies and one thought experiment, we find that modeling challenges include nonlinearity, interaction, spatial sorting and extrapolation beyond valid limits. A significant research gap is found in how individual well-being scores should be aggregated to a collective one; this is a normative question although descriptive ethics would appear to offer a practical approach.

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Examining the relationships between individual’s time use and activity participations with their health indicators

Cited by 11 publications

References 44 publications

On the role of subjective well-being in mediating the relationship between spatiotemporal and health variables

On the role of subjective well-being in mediating the relationship between spatiotemporal and health variables

Residential Locations and Health Effects on Multitasking Behaviours and Day Experiences

Quantitative Models of Well-Being to Inform Policy: Problems and Opportunities

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