Alexandra Millonig
ABSTRACT
In the course of the scientific project IANUS, we examined the impacts of stress on the physical and psychological condition of passengers in train stations in order to identify relevant determinants and to develop recommendations for reducing stress-inducing factors in public transport infrastructures. We used a combination of biometric measuring of heart rate, semi-automated observation of spatio-temporal behaviour, psychological interviews, eye-tracking and visual field analyses during laboratory and field tests. In this contribution, we focus on the methodology of observing the spatio-temporal behaviour patterns of 35 individuals participating in field tests conducted in Vienna, Austria. The observation datasets have been analysed concerning velocities, route choice, stopping behaviour and related activities in order to identify noticeable patterns and events that can indicate stress-related behaviour. The outcomes were subsequently consolidated with the results of the complementary methods in order to identify stress-inducing factors in transport infrastructures.
- Cavanaugh, J. C. & Blanchard-Fields, F. Adult Development and Aging. Belmont, CA: Thomson Wadsworth, 2006.Google Scholar
- Gulian, E., Matthews, G., Glendon, A. I., and Davies, D. R. Dimensions of Driver Stress. Ergonomics 32 (1989), 585--602.Google ScholarCross Ref
- Hartig, J. Stress: Begriffe und Definitionen, Stressreaktion und Stressoren, Erfassungsmethoden. http://www.joerghartig.de/Doc_Stresstheorie_Joerg_Hartig.pdfGoogle Scholar
- Lazarus, R. S., Cohen, J. B. Environmental Stress. In: Altman, I., Wohlwill, J. E. (Eds.): Human Behavior and Environment. Vol. 2. Plenum, New York, 1977.Google Scholar
- Millonig, A., Brändle, N., Ray, M., Bauer, D., and van der Spek, S. C. Pedestrian Behaviour Monitoring: Methods and Experiences. In: Gottfried, B., Aghajan, H. (Eds.): Behaviour Monitoring and Interpretation -- BMI. Smart Environments. IOS Press, Amsterdam, 2009.Google Scholar
- Schießl, C. Subjective strain estimation depending on driving manoeuvres and traffic situation. In Proc. of Europconf on HCD for ITS, HUMANIST, Lyon (2008).Google Scholar
- Schlag B. Elderly drivers in Germany -- fitness and driving behaviour. Accident Analysis & Prevention 25, 1 (1993), 47--55.Google Scholar
- Seefeldt, D. Stress. Verstehen -- Erkennen -- Bewältigen. Dreieich: Edition Wötzel, 2002.Google Scholar
- Whelan, M., Langford, J., Oxley, J., Koppel, S., and Charlton, J. The elderly and mobility: A review of the literature. Monach University Accident Research Centre, Australia, 2006.Google Scholar
- Zimbardo, P. G. and Gerrig, R. J. Psychologie. Berlin, Heidelberg: Springer, 1999.Google Scholar
Index Terms
- Using semi-automated shadowing for analysing stress-inducedspatio-temporal behaviour patterns of passengers in public transport infrastructures
Recommendations
Evaluating rail transit timetable using big passengers' data
The unpredicted and unbalanced nature of passenger flow over temporal and spatial complicates the design and optimization of scheduled timetables. This study presents a model based on time-driven microscopic simulation to evaluate train timetable from ...
Analysing user behaviour through dynamic population models
CHI EA '13: CHI '13 Extended Abstracts on Human Factors in Computing SystemsWe apply a statistical modelling-based approach to exploring, analysing and predicting behavioural patterns of users of mobile software. The technique employed represents the behaviour of each user through a weighted mixture over data-generating ...
Filling Space in Public Transport by Passengers
Modeling of motional behavior of the passengers in the municipal transport—bus, trolleybus, streetcar, subway, or suburban electric train—was discussed for the first time. Attention was focused on the relations for passenger flow densities that would ...
Comments