Philosophiae Doctor - PhD / Most poverty studies ignore the dimension of time and are merely concerned if an individual meets certain money-metric or non-income welfare (e.g., access to services and asset ownership) criteria. They fail to recognise the limited time (24hours per day) available to complete tasks and the added difficulties they have even though there is an abundance of money-metric and asset-related non-money-metric poverty studies. (Kim et al. 2014:1). For example, individuals/households deemed poor by standard measures cannot afford market alternatives to assist them with non-market work (like childcare). Therefore, they find themselves spending all their time in market and non-market work without taking time for rest and improving themselves. Recognising non-market work and the allocation of time allows for a greater understanding into the role of women and Africans whose non-market work are unrecognised by standard economic measures such as GDP (Ferrant 2014:1). There are also only a few in-depth studies on time poverty, but they fail to utilise the most current data. Therefore, this study seeks to provide insights into how household production impacts on South African welfare. It explores the income, time poor and the extent of time allocation differences for various personal characteristics. It estimates the likelihood of time poverty based on an individual’s time schedule and the factors which most likely results in time poverty.

Philosophiae Doctor - PhD / Most poverty studies ignore the dimension of time and are merely concerned if an individual meets certain money-metric or non-income welfare (e.g., access to services and asset ownership) criteria. They fail to recognise the limited time (24hours per day) available to complete tasks and the added difficulties they have even though there is an abundance of money-metric and asset-related non-money-metric poverty studies. (Kim et al. 2014:1). For example, individuals/households deemed poor by standard measures cannot afford market alternatives to assist them with non-market work (like childcare). Therefore, they find themselves spending all their time in market and non-market work without taking time for rest and improving themselves.

Philosophiae Doctor - PhD / Most poverty studies ignore the dimension of time and are merely concerned if an individual meets certain money-metric or non-income welfare (e.g., access to services and asset ownership) criteria. They fail to recognise the limited time (24hours per day) available to complete tasks and the added difficulties they have even though there is an abundance of money-metric and asset-related non-money-metric poverty studies. (Kim et al. 2014:1). For example, individuals/households deemed poor by standard measures cannot afford market alternatives to assist them with non-market work (like childcare). Therefore, they find themselves spending all their time in market and non-market work without taking time for rest and improving themselves. Recognising non-market work and the allocation of time allows for a greater understanding into the role of women and Africans whose non-market work are unrecognised by standard economic measures such as GDP (Ferrant 2014:1). There are also only a few in-depth studies on time poverty, but they fail to utilise the most current data. Therefore, this study seeks to provide insights into how household production impacts on South African welfare. It explores the income, time poor and the extent of time allocation differences for various personal characteristics. It estimates the likelihood of time poverty based on an individual’s time schedule and the factors which most likely results in time poverty. In this study, various time concepts and measures were explored adding to the scarcely found South African time poverty studies which lack in-depth exploration. At the same time the study highlighted household production, an aspect closely linked to time poverty which affects certain groups of people more (females and Africans), and its welfare implications completely ignored by standard measures of the economy. The study also aimed to examine the relationship between time and income poverty. The study utilised the 2000 and 2010 South African Time Use Survey data by focusing on two main themes: time use patterns (to better understand household production) and time poverty (to measure it and understands its relationship with income poverty). The descriptive results revealed that both mean SNA (System of National Accounts internationally agreed standard for production)) and non-SNA production time increased over time at the cost of the non-productive time. Also, mean paid and unpaid work increased over time.

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This thesis delves into the manifestations of transport poverty and time poverty in the Greater Reykjavík area, highlighting the accessibility of essential healthcare, educational, and grocery services through various transport modes - driving, public transit, cycling, and walking. Utilizing a service area analysis with network datasets in ArcGIS Pro, the study indicates some disparities in travel times experienced by different demographic groups, with a particular emphasis on the university-eligible population. The results reveal a generally high level of accessibility across the majority of the population. Driving and cycling demonstrate the greatest coverage, while public transit and walking pose significant accessibility challenges. Notably, when considering modes other than driving, universities emerge as the hardest facilities to access, leading to a substantial portion of university-eligible being the most likely to grapple with transport poverty. The findings underscore the urgency to better accommodate university students, delve deeper into disparities experienced by more vulnerable groups, such as women and foreign-born residents. Moreover, this hopefully paves the way for a more comprehensive understanding of transport and time poverty in Greater Reykjavík, ultimately aiming to guide the creation of a more accessible, equitable, and sustainable urban environment for all residents.

This thesis examines the time-use patterns of adults in dual-earner households with and without children as a function of several individual and household socio-demographics and employment characteristics. A disaggregate activity purpose classification including both in-home and out-of-home activity pursuits is used because of the travel demand relevance of out-of-home pursuits, as well as to examine both mobility-related and general time-use related social exclusion and time poverty issues. The study uses the Nested Multiple Discrete Continuous Extreme Value (MDCNEV) model, which recognizes that time-decisions entail the choice of participating in one or more activity purposes along with the amount of time to invest in each chosen activity purpose, and allows generic correlation structures to account for common unobserved factors that might impact the choice of multiple alternatives. The 2010 American Time Use Survey (ATUS) data is used for the empirical analysis. A major finding of the study is that the presence of a child in dual-earner households not only leads to a reduction in in-home activity participation but also a substantially larger decrease in out-of-home activity participation, suggesting a higher level of mobility-related social exclusion relative to overall time-use social exclusion. To summarize, the results in the thesis underscore the importance of re-designing work policies in the United States to facilitate a reduction in work-family conflict in dual-earner families. / text