PhD Title: Understanding the mobility and activity patterns of the older population through consumer data
Abstract: In order to achieve an inclusive transport system, transport authorities are increasingly making use of smart technologies and the resulting data to gain greater insight into transport users, and in turn inform decision making and policy planning. This thesis presents an exploration of how two forms of Big Data; smart card data provided by a local transport authority, and loyalty card data provided by a large high street retailer, can be used to provide detailed insights into the mobility and activity patterns of the older population. The primary aims of this thesis are to firstly demonstrate how smart card data can be processed and analysed to provide detailed insights into bus usage patterns, and secondly to understand the extent to which loyalty card transaction data can be employed to understand retail activity behaviours, and how this can be used alongside transport data to enhance the understanding of mobility.
Having completed her Master's degree in MSc Geographic Data Science at the University of Liverpool in 2016, Ffion is now a third year PhD student at Consumer Data Research Centre (CDRC) based at UCL Department of Geography. Her PhD research is focused on the use of big data analytics to address challenges in the transport sector and is supervised by Professor Paul Longley and Dr Jens Kandt. In particular, the research looks at how smart card travel data and loyalty card transaction data can be utilised to further understand the mobility and activity patterns of the older population.