Overview

In aiming to understand and model peoplesa (TM) out-of-home movements, the academic field of transport planning is confronted with two major challenges. Firstly, leisure travel is increasing in importance and is more complex and variable than work-related travel, being less rigid in temporal and spatial patterns and more influenced by external factors such as social contacts or weather conditions. Secondly, traditional aggregated transport models do not include any information on peoplesa (TM) social interactions or their personal social networks. In contrast, the recent development and availability of disaggregated models allows more detailed modelling of elements such as individual characteristics, motivations, constraints and travel costs, as well as a consideration of influences from an actora (TM)s social environment. People travel not only within an infrastructure but also within a social structure. These two main factors have driven transport planners to focus on peoplesa (TM) interaction and their social network. In recent years there have been a remarkable number of data collection efforts in the field, surveying information on the link between travel behaviour and social motivation. Providing an overview of selected exemplary studies, this volume addresses the overlap between transport planning and methods of social network analysis; applied methods of social network analysis and related empirical results; and current challenges and new research questions in this field.

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9781472433848

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'We're so excited by the internet and mobile phones that we forget we have bodies that travel. This path-breaking book shows how people have become networked individuals, expanding the space and diversity of their personal connections. It goes way beyond standard travel-demand studies. Brilliant, well researched, and carefully documented, it rewards quick reading and detailed study.' Barry Wellman, University of Toronto, Canada 'I will be notifying my own professional social network about this timely book, rich in implementation detail and descriptions of best practices. It brings the vital considerations of space and travel to the study of social networks, and those of social interaction to the study of travel behavior. A must-read for anyone interested in either field, and an important catalyst for greater cross-fertilization between the two.' Patricia L. Mokhtarian, Georgia Institute of Technology, USA

Author Information

Matthias Kowald works for the Swiss Federal Office for Spatial Development, Berne and Kay W. Axhausen is Professor at the Swiss Federal Institute of Technology Zurich.

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