• Insights into a spatially embe...

Treffer: Insights into a spatially embedded social network from a Iarge-scale snowball sample

Title:
Insights into a spatially embedded social network from a Iarge-scale snowball sample
Authors:
ILLENBERGER, J, KOWALD, M, AXHAUSEN, K. W, NAGEL, K
Source:
The European physical journal. B, Condensed matter physics (Print). 84(4):549-561
Publisher Information:
Les Ulis: EDP Sciences, 2011.
Publication Year:
2011
Physical Description:
print, 53 ref
Original Material:
INIST-CNRS
Subject Terms:
Condensed state physics, Physique de l'état condensé, Theoretical physics, Physique théorique, Sciences exactes et technologie, Exact sciences and technology, Sciences et techniques communes, Sciences and techniques of general use, Mathematiques, Mathematics, Probabilités et statistiques, Probability and statistics, Statistiques, Statistics, Théorie de l'échantillonnage, sondages statistiques, Sampling theory, sample surveys, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Logiciel, Software, Systèmes informatiques et systèmes répartis. Interface utilisateur, Computer systems and distributed systems. User interface, Transports terrestres, transports aeriens, transports maritimes, constructions navales, Ground, air and sea transportation, marine construction, Economie, gestion et planification des transports, Transportation planning, management and economics, Sciences biologiques et medicales, Biological and medical sciences, Sciences biologiques fondamentales et appliquees. Psychologie, Fundamental and applied biological sciences. Psychology, Psychologie. Psychophysiologie, Psychology. Psychophysiology, Psychologie sociale, Social psychology, Interactions sociales. Communication. Processus de groupe, Social interactions. Communication. Group processes, Psychologie. Psychanalyse. Psychiatrie, Psychology. Psychoanalysis. Psychiatry, Analyse comportementale, Behavioral analysis, Análisis conductual, Loisir, Leisure, Ocio, Mobilité, Mobility, Movilidad, Répartition spatiale, Spatial distribution, Distribución espacial, Réseau social, Social network, Red social, Serveur informatique, Computer server, Servidor informático, Topologie, Topology, Topología, Echantillonnage non aléatoire, Non random sampling, Muestreo no aleatorio
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Berlin Institute of Technology, Group of Transport Systems Planning and Transport Telematics Salzufer 17-19, 10587 Berlin, Germany
Swiss Federal Institute of Technology Zurich Institute for Transport Planning and Systems ETH Hönggerberg, 8093 Zurich, Switzerland
ISSN:
1434-6028
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=25349215
Rights:
Copyright 2015 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Building. Public works. Transport. Civil engineering

Computer science; theoretical automation; systems

Mathematics

Psychology. Ethology

FRANCIS
Accession Number:
edscal.25349215
Database:
PASCAL Archive

Weitere Informationen

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.