An analysis of the implications of planned behaviour theory on walkability in Christchurch, New Zealand : A dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Planning at Lincoln University
Authors
Date
2023
Type
Dissertation
Abstract
Walkability has recently become a key indicator of well-functioning cities. These cities have the ability to reduce carbon emissions, enhance social cohesion, and increase human physical health. With cities around the world striving to create more of these walkable areas, it is important to identify the primary drivers of this behaviour. This dissertation explores the implications of Planned Behaviour Theory to assess whether it can be used to predict human transport behaviour. Walkability for this study has been defined as the proximity of which, on average, people are from their needed amenities.
This research took a quantitative approach and aimed to analyse the walkability across three areas of Christchurch, New Zealand, with a particular focus on how this can be applied to inform decision making on local policy. The independent variable in this study was the average time taken, in minutes, to reach essential services including healthcare, supermarkets, and education. A one-way ANOVA identified a statistically significant (F(2,54) = 35.27, p <0.001) result between the most walkable area and the two areas of less walkability. Riccarton South, identified as a 10-minute neighbourhood, contributed most significantly to this difference and was characterised by having greater access to amenities compared to the other two neighbourhoods of Somerfield West and Parklands. Two additional variables, time of day as well as day of the week, were also analysed and identified. No statistically significant result across the three neighbourhood areas were found.
This research provides valuable insight into the psychological behaviour of people and provides recommendations to policy and planning practitioners as they seek to create these well functioning areas.
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