Exploring the potentials of automatically collected GPS data for travel behaviour analysis: a Swedish data source

Stefan Schönfelder · Kay Werner Axhausen · Nicolas Antille · Michel Bierlaire

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Human Mobility and Location-Based Analysis Transportation Planning and Optimization Urban Transport and Accessibility

Abstract

Understanding the regularity and the variability of individual travel behaviour over time has been one of the key issues in travel behaviour research for three decades.A deeper insight into the long-term mobility patterns of persons and households has been so far restricted by the limited availability of longitudinal data, though.This paper presents an innovative approach to gain longitudinal travel behaviour data by means of Global Positioning Systems (GPS) and furthermore, describes the outline of post-data-processing work as well as possible analysis and modelling directions.

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References

1987Discrete Choice Analysis: Theory and Application to Travel Demand.1999Discrete Choice Methods and their Applications to Short Term Travel Decisions 2002Observing the rhythms of daily life: A six-week travel diary 1990Route Choice: Wayfinding in Transport Networks 2000Using GPS data loggers to replace travel diaries in the collection of travel data 2000Global Positioning System as Data Collection Method for Travel Research

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2003Where do you want to go today?: More observations on daily mobility 2015Train commuters’ scheduling preferences: Evidence from a large-scale peak avoidance experiment 2007Route choice analysis : data, models, algorithms and applications 2021A data-driven travel mode share estimation framework based on mobile device location data 2010Imputing relevant information from multi-day GPS tracers for retail planning and management using data fusion and context-sensitive learning 2021Changing mobility patterns in the Netherlands during COVID-19 outbreak 2006Urban Rhythms: Modelling the Rhythms of Individual Travel Behaviour

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