Shadowing - Tracking - Interviewing: How to Explore Human Spatio-Temporal Behaviour Patterns

The complexity of pedestrian spatio-temporal behaviour calls for the combination of several complementary empirical methods in order to comprehensively understand human motion behaviour patterns and underlying motives, habits and intentions. This is essential for the development of mobile spatial information technologies, as the huge amount of potentially available information has to be filtered and customised to individual needs. Therefore, in this contribution a currently ongoing project aiming at the classification of pedestrian walking behaviour and related influence factors is described. We illustrate the multi-methods-approach applied in this study and present experimental results based on a dataset of more than 100 trajectories of pedestrians observed in indoor and outdoor shopping environments as well as results of a survey containing 130 interviews. Keywords. Pedestrian navigation, spatio-temporal behaviour, typology, shadowing, tracking

• Type: Journal
• Year: 2008
• Where: KI
• Authors: Alexandra Millonig, Georg Gartner
• Keywords: Artificial Intelligence, Complementary Empirical Methods, KI 2008, Pedestrian Spatio-temporal Behaviour, Spatio-temporal Behaviour