About the research
William researched Human, Social and Political Sciences at the University of Cambridge.
William’s project investigated the association between London residents’ wellbeing and the amount of public space in their neighborhood. He explored whether different forms of public space have different effects on wellbeing, comparing the effects of green space (i.e parks) and hard-surface spaces (i.e. civic squares and children’s playgrounds). In order to look at differences over the socioeconomic spectrum, he also explored the impact for residents living in different housing tenures (homeowners and private and social renters).
Data
William used data from Wave 6 of Understanding Society (a multi-topic longitudinal study) to look at resident’s subjective wellbeing. He also matched Understanding society’s special license geographical data with public data from Greenspace Information for Greater London, in order to calculate the amount of public space in different areas.
“[This data was] chosen due to its fine-area geographic data, which other wellbeing surveys, such as the Annual Population Survey and European Quality of Life Survey, do not record”
Methodology
William used regression models to investigate the research questions, including individual models for each housing tenure. He also used interaction terms to examine whether the association between public space and well-being depends on neighbourhood safety.
Findings
The main findings from William’s project were that:
- Green space was positively associated with wellbeing
- In wards where feelings of safety are generally high, hard space was positively associated with wellbeing, but in wards with low safety, the inverse was true.
- The impact of feelings of safety on the connection between hard-space and well-being was greater for social renters.
- Greenspace’s positive association with wellbeing was consistent across all housing tenures.
“The interaction effect of hard space and safety, however, was especially pronounced for social renters. This suggests that hard public space can offer the greatest benefits, but also the greatest dangers, for social renters”.
Top Tips
William’s top tip for students about to start a project or dissertation with secondary data is to start exploring datasets early:
“By playing around with various datasets at an early stage, one has the time to familiarize themselves with the differences between datasets, and understand their potential limitations and strengths”.
“By adding various datasets to my project, I was able to compare their attributes and choose what dataset most closely aligned with my research aims.”
Future plans
On competing his degree, William took part in online training in Python programming and was accepted on to a master’s degree in Economics and Quantitative Social Science.