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Road cycling behaviour of young adults

Driver distraction (e.g., due to increased cognitive demands) is increasingly recognised as a significant source of injuries and accidents. Accordingly, many researchers have investigated factors that affect driving performance. But provisions for cyclists (e.g., cycle paths and lanes) are increasing in major cities and towns – as are the numbers of cyclists accordingly. Hence, our aim is to develop a better understanding of traffic perception and hazard avoidance when cycling in urban environments. We are also interested in the relationship between a measure of decision-making tendencies and cycling behaviour. We are collecting cycling performance data (pedalling cadence, braking frequency), gaze data, and questionnaire data in order to do so.

Participants will attend one 1-hour session in a laboratory in the SIM Lab, Department of Life Sciences, dressed in clothing suitable for cycling at a light intensity for approximately 10 minutes.

After completion of two questionnaires, they must ride a spinning bike whilst wearing a cycle helmet and eye tracking glasses. Their task will be to observe video footage taken from the first-person perspective of a cyclist navigating a busy urban street, and to respond to hazards as they normally would when riding a bike.

It is expected that the data from this study will inform subsequent cycling proficiency instruction practices in future.

Meet the Principal Investigator(s) for the project

Dr Daniel Bishop - I am a Researcher and Senior Lecturer in Sport & Exercise Psychology here at Brunel, a British Psychological Society (BPS) Chartered Psychologist registered to practise with the HCPC, an Associate Fellow of the BPS, and a Fellow of Advance HE (formerly the HEA). I am also the Director of Postgraduate Studies for the Division of Sport, Health and Exercise Sciences. I have worked in both public and private sectors, including local authorities, the NHS, investment banks, the health & fitness industry and Further Education. These experiences have given me a sophisticated understanding of the challenges faced in this diverse range of industries, which is why I continue to add value to the performance of various individuals and organisations - using established psychological principles to do so. In my role as Departmental Lead for Staff Experience & Wellbeing, my vision is for Brunel to deservedly attain national recognition (e.g., the RSPH Health & Wellbeing Awards) for its long-term prioritisation of staff wellbeing and health. When I’m not working, I love to spend as much time as possible with my family and friends; and I am writing a book in the little I have left each week! I have also spent the past few years rebuilding my left knee from the inside out, with a careful self-determined rehabilitation programme. For those who are interested: at the time of typing, I can now tolerate regular running at a pretty good pace. I have realised that tight quadriceps and patellar tendons were compounding my cartilage problems, so have taken to regular self-massage using commercially available percussive and vibrating massagers - a game-changer. Static and eccentric patellar tendon loading has also helped, as has reverse cross-trainer exercise for as little as 12 mins, alternating 1 min reverse and 1 min forward. I have also found that running in crocs (with heel straps!) instead of (over-engineered) running shoes increases my knee stability.

Related Research Group(s)

Cognitive Neuroscience

Cognitive Neuroscience - Fundamental and applied research into brain function using techniques such as functional magnetic resonance imaging (fMRI), electroencephalography (EEG), electromyography (EMG), eye-tracking, transcranial magnetic stimulation (TMS), transcranial direct-current stimulation (tDCS), infrared thermography together with psychophysics and cognitive behavioural paradigms in health and disease.

Partnering with confidence

Organisations interested in our research can partner with us with confidence backed by an external and independent benchmark: The Knowledge Exchange Framework. Read more.

Project last modified 14/07/2021