Academic Wits Research Outputs (All submissions)
Permanent URI for this collectionhttps://hdl.handle.net/10539/36827
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Item Gauteng’s urban land cover growth: 1990-2020(Gauteng City-Region Observatory, 2022-03-31) Ballard, Richard; Hamann, ChristianItem What are participants telling us as we collect data for the next Quality of Life survey?(Gauteng City-Region Obervatory, 2021-02-26) de Kadt, Julia; Hamann, Christian; Mkhize, Sthembiso PollenData collection for our forthcoming Quality of Life 2020/21 Survey (QoL 2020/21) is now over two thirds complete. Along with the regular difficulties of data collection, such as ensuring everyone’s safety and negotiating access to conduct the survey, data collection has also had to navigate the challenges of COVID-19, and more recently, heavy rains and flooding due to Cyclone Eloise. We hope to complete data collection by the end of May 2021, and share preliminary results in July 2021. While data collection is still underway, our February Map of the Month shares some of the comments and feedback we’ve received from survey participants since we started conducting interviews in October 2020. As part of our regular scrutiny of incoming survey data, we review comments shared by participants at the end of the survey interview. While the comments do not constitute representative survey data, and do not tell us about overall or localised levels of concern regarding particular issues, they do shed some light on the people behind the data we are collecting, and what is on their minds. We have identified some of the most prominent themes in these comments, and shared various colour-coded maps of the selected comments. We were struck that one of the strongest themes, shaded in green, was one of gratitude for the opportunity the survey provides for people to share their experiences and challenges. Many of these participants also expressed hope that their voices and concerns will be heard by the government, and will inform positive change. Other comments highlight issues or challenges that participants want to emphasize - key amongst these are crime and safety (yellow), unemployment (purple), governance (orange) and gender-based violence (red). These comments remind us of why we conduct the Quality of Life survey, and motivate us to do our utmost to ensure survey findings will influence decision making and action to improve living conditions in the Gauteng City-Region. GCRO thanks the fieldworkers from GeoSpace International for their enormous contributions to making this survey possible. We also thank all the participants across Gauteng who have generously given their time to participate in the survey. Without their willingness to share information about their lives and challenges, we would not be able to conduct this survey. As we are still collecting data all across Gauteng province, there is a chance that a GeoSpace International fieldworker may still knock on your door. If they do, we hope you’ll be willing to allow them to interview you!Item Quality of Life Survey V (2017/18): The quality of life of students in Gauteng(Gauteng City-Region Observatory, 2020-07) Hamann, Christian; Joseph, KateIn the Quality of Life (QoL) V (2017/18) survey, respondents from all population groups were represented in the student sample. However, a higher percentage of all Indian/Asian respondents (17%) and white respondents (13%) were registered as students compared to the proportion of all African respondents (10%) and coloured respondents (11%). The differences were larger among younger respondents from each population group. • However, racialised socio-economic inequality is evident in the fact that the average monthly household income of African students was around R11 755 while the average monthly household income of white students was around R38 541. • Similarly, a lower percentage of African students reported having access to assets which are likely to assist learning (like a laptop or internet at home) when compared to the access of coloured, Indian/Asian or white students. But African and white students had higher levels of access to these assets than African and white non-students. • The majority of all students in the sample would have qualified for National Student Financial Aid Scheme (NSFAS) funding (69%) based on their household income. A further 26% of students were considered part of the ‘missing middle’, and only about 5% of students could be categorised as upper class. Racialised socio-economic inequality is evident in students’ average monthly income • There were important lifestyle and class differences between full time and part time students. On average, students had a higher socio-economic status than non-students, but part time students had a higher socio-economic status than full time students. • The mean age of full time and part time students was 24 and 31 years, respectively. Further, part time students were more likely to be household heads, while in the households of full time students it was more likely for the mother or father of the student to be the head of the household. • On average, students were 6% more likely to be satisfied with a range of services, facilities and spheres of government than non-students, but higher satisfaction with services did not translate into higher satisfaction with spheres of government. • Although the differences remain relatively small, students were more likely to respond positively on various measures of physical wellbeing (like general health status) and mental well-being (like having emotional support) than non-students. • Despite a significant degree of racial inequality in the student sample (in terms of income and access to assets), students score higher on the overall quality of life index than non-students. • While respondents born in Gauteng were the most likely to be students (12%), migrants from other provinces were nearly as likely to be students (11%). By contrast, only 6% of respondents who had migrated from another country were students. • Across QoL surveys, students predominantly made use of taxis (44% on average) or private motorised transport (31% on average) for their trips to the places where they study. • A slightly smaller percentage of students (7%) participated in protest action compared to non-student respondents (9%).Item Mapping vulnerability to COVID-19 in Gauteng(Gauteng City-Region Observatory: Map of the Month, March 2020, 2020-03-20) de Kadt, Julia; Gotz, Graeme; Hamann, Christian; Maree, Gillian; Parker, AlexandraThe world is reeling as COVID-19 infections spread. This Map of the Month aids an understanding of the localised risk factors that might contribute to transmission of COVID-19, or amplify its health and socio-economic impacts in Gauteng communities. It explores two key themes: (1) the multiple risk factors to maintaining social distance and preventative hygiene; and (2) the multiple risk factors for health and socio-economic vulnerability during an outbreak or broader shutdown.