This analysis of newly available longitudinal data on individual trip making and activity behaviour debates the most suitable methodological tools to represent the structures of long-term travel behaviour. Also discussed is what such data reveals about travellers' motives, and how planning should translate the findings into forecasting tools and transport strategies. The inquiry reveals the multifaceted character of daily life travel, and the variability that individuals show in activity behaviour.
About the Author
Stefan Schonfelder, WIFO, Austrian Institute of Economic Research, Austria and Kay Axhausen, Swiss Federal Institute of Technology Zurich, Switzerland
Table of ContentsContents: Introduction; Part I Foundations: Theoretical framework; Definitions; Time, space and travel analysis: an overview; A conceptual model of non-response; The multi-day data sets employed. Part II The Temporal Aspects of Day-to-Day Travel Behaviour: Current patterns of travel behaviour; Scheduling; Modelling the rhythms of activity demand: an explanatory approach, modelling details and results;. Part III Human Spatial Behaviour and the Analysis of Activity Spaces: Destination choice and activity spaces: a review of concepts and a framework for analysis; Analysing activity space using longitudinal data: methods and results. Part IV Conclusions: Concluding remarks; Appendix; Bibliography; Index.