Insights into a spatially embedded social network from a large-scale snowball sample |
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Authors: | J. Illenberger M. Kowald K. W. Axhausen K. Nagel |
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Affiliation: | 1.Group of Transport Systems Planning and Transport Telematics,Berlin Institute of Technology,Berlin,Germany;2.Swiss Federal Institute of Technology Zurich Institute for Transport Planning and Systems ETH H?nggerberg,Zurich,Switzerland |
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Abstract: | Much research has been conducted to obtain insights into the basic laws governing human travel behaviour. While the traditional travel survey has been for a long time the main source of travel data, recent approaches to use GPS data, mobile phone data, or the circulation of bank notes as a proxy for human travel behaviour are promising. The present study proposes a further source of such proxy-data: the social network. We collect data using an innovative snowball sampling technique to obtain details on the structure of a leisure-contacts network. We analyse the network with respect to its topology, the individuals’ characteristics, and its spatial structure. We further show that a multiplication of the functions describing the spatial distribution of leisure contacts and the frequency of physical contacts results in a trip distribution that is consistent with data from the Swiss travel survey. |
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