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In a joint project the Institute for Transport Planning and Systems (IVT) of ETH Zurich and the Institute for Land and Sea Transport (ILS) of TU Berlin collect information on personal networks to investigate the influence of these networks on leisure travel.The project will model the influence and implement the results in advanced agent based travel simulations.The survey methodology follows the egocentric network approach, by asking respondents for information on a specific part of their social network: Leisure contacts.Unlike most studies using this method to survey isolated network components this project combines it with an ascending sampling strategy, called snowball approach, to survey connected egocentric network components to obtain information on the topology of the (total) network.As the survey is still in the field the paper aims to present the survey methodology and -instrument and give an overview on the data collected so far.The main focus of this descriptive summary lies on the size and structure of the personal networks, their spatial distribution and the question how people stay in contact with respect to the geographical distance between them.By giving a brief introduction to similar studies in transport planning, their results, and some basic concepts from social network analysis the potentials of the present project will be highlighted.
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Stored only when both papers are in the corpus — 6 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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