City Research Online

A visual analytics approach to understanding cycling behaviour

Beecham, R., Wood, J. and Bowerman, A. (2012). A visual analytics approach to understanding cycling behaviour. Poster presented at the IEEE Conference on Visual Analytics Science and Technology (VAST), 14 - 19 October 2012, Seattle, Washington, USA.

Abstract

Existing research into cycling behaviours has either relied on detailed ethnographic studies or larger public attitude surveys. Instead, following recent contributions from information visualization and data mining, this design study uses visual analytics techniques to identify, describe and explain cycling behaviours within a large and attribute rich transactional dataset. Using data from London’s bike share scheme, customer level classifications will be created, which consider the regularity of scheme use, journey length and travel times. Monitoring customer usage over time, user classifications will attend to the dynamics of cycling behaviour, asking substantive questions about how behaviours change under varying conditions. The 3-year PhD project will contribute to academic and strategic discussions around sustainable travel policy. A programme of research is outlined, along with an early visual analytics prototype for rapidly querying customer journeys.

Publication Type: Conference or Workshop Item (Poster)
Subjects: Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Departments: School of Mathematics, Computer Science & Engineering > Computer Science > giCentre
URI: http://openaccess.city.ac.uk/id/eprint/1299
[img]
Preview
PDF
Download (1MB) | Preview
[img]
Preview
PDF
Download (440kB) | Preview

Export

Downloads

Downloads per month over past year

View more statistics

Actions (login required)

Admin Login Admin Login