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

Alexandra Millonig · Georg Gärtner

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Human Mobility and Location-Based Analysis Evacuation and Crowd Dynamics Data Management and Algorithms

Abstract

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.

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References

1977Telling more than we can know: Verbal reports on mental processes.2007Tracking tourists in the digital age 1997Revisiting Time—Space Diaries: An Exploratory Case Study of Tourist Behaviour in Cornwall, England 2007Analysis of People Trajectories with Ubiquitous Sensors in a Science Museum 1997Tracking the Salzburg tourist 1984Stalking the Urban Pedestrian

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2018Modeling intra-destination travel behavior of tourists through spatio-temporal analysis 2014Validating Bluetooth logging as metric for shopper behaviour studies 2022Tourists’ Spatial–Temporal Behavior Patterns Analysis Based on Multi-Source Data for Smart Scenic Spots: Case Study of Zhongshan Botanical Garden, China 2016GPS-Tracking in touristischen Destinationen – Neue Software-Anwendung zur Erfassung des Mobilitätsverhaltens am Beispiel von Wanderern im Harz

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