Mobility Compass

Discover mobility and transportation research. Find experts, partners, networks.

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The Mobility Compass is an open tool for improving networking and interdisciplinary exchange within mobility and transport research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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509.604 PEOPLE
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Mouftah, Hussein T.
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Dugay, Fabrice
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Rettenmeier, Max
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Brillinger, Markus
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Kene, Raymond O.
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Carrasco, Juan-Antonio

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (12/12 displayed)

  • 2025Analyzing the Determinants of Teleworking during the COVID-19 Pandemic in Chile1citations
  • 2021A comparative study of social interaction frequencies among social network members in five countries22citations
  • 2020Mobility Changes, Teleworking, and Remote Communication during the COVID-19 Pandemic in Chile101citations
  • 2020Studying the relationship between activity participation, social networks, expenditures and travel behavior on leisure activities19citations
  • 2020A comparative study of contact frequencies among social network members in five countriescitations
  • 2019Measuring the influence of social capital and personal networks on transport disadvantage5citations
  • 2018A comparative study of contact frequencies and modes among social network members in four countries.citations
  • 2016Modelling the relationship between travel behaviours and social disadvantage106citations
  • 2013Distance patterns of personal networks in four countries: a comparative study49citations
  • 2013Exploring the links between personal networks, time use, and the spatial distribution of social contacts32citations
  • 2006Exploring the propensity to perform social activities: a social network approach178citations
  • 2005A tour-based model of travel mode choice118citations

Places of action

Chart of shared publication
Hurtubia, Ricardo
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Salas, Patricio
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Astroza, Sebastian
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Munizaga, Marcela
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Guevara, C. Angelo
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Frei, Andreas
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Takami, K.
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Axhausen, Kay
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Berg, Pauline Van Den
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Wellman, B.
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Harata, N.
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Wellman, Barry
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Wicki, M.
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Timmermans, Harry
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Arentze, Theo
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Frei, A.
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Kowald, Matthias
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Guidon, S.
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Kowald, M.
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Torres, Valentina
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Guevara, Angelo
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Figueroa, Macarena
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Lizana, Maximiliano
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Tudela, Alejandro
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Timmermans, Harry J. P.
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Van Den Berg, Pauline E. W.
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Axhausen, K. W.
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Troncoso Parady, Giancarlos
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Arentze, Theo A.
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Lucas, Karen
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Van Den Berg, P. E. W.
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Arentze, T. A.
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Timmermans, H. J. P.
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Moore, José
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Bates, John
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Mok, Diana
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Miller, Eric J.
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Roorda, Matthew J.
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Co-Authors (by relevance)

  • Hurtubia, Ricardo
  • Salas, Patricio
  • Astroza, Sebastian
  • Munizaga, Marcela
  • Guevara, C. Angelo
  • Frei, Andreas
  • Takami, K.
  • Axhausen, Kay
  • Berg, Pauline Van Den
  • Wellman, B.
  • Harata, N.
  • Wellman, Barry
  • Wicki, M.
  • Timmermans, Harry
  • Arentze, Theo
  • Frei, A.
  • Kowald, Matthias
  • Guidon, S.
  • Kowald, M.
  • Torres, Valentina
  • Guevara, Angelo
  • Figueroa, Macarena
  • Lizana, Maximiliano
  • Tudela, Alejandro
  • Timmermans, Harry J. P.
  • Van Den Berg, Pauline E. W.
  • Axhausen, K. W.
  • Troncoso Parady, Giancarlos
  • Arentze, Theo A.
  • Lucas, Karen
  • Van Den Berg, P. E. W.
  • Arentze, T. A.
  • Timmermans, H. J. P.
  • Moore, José
  • Bates, John
  • Mok, Diana
  • Miller, Eric J.
  • Roorda, Matthew J.
OrganizationsLocationPeople

article

A comparative study of contact frequencies among social network members in five countries

  • Frei, Andreas
  • Carrasco, Juan-Antonio
  • Timmermans, Harry J. P.
  • Takami, K.
  • Van Den Berg, Pauline E. W.
  • Wellman, B.
  • Harata, N.
  • Axhausen, K. W.
  • Troncoso Parady, Giancarlos
  • Kowald, Matthias
  • Arentze, Theo A.
  • Guidon, S.
  • Wicki, M.

Abstract

As face-to-face and ICT-mediated social interaction patterns are relevant to explain (social) travel behavior, the objective of this paper is to study comparatively the factors that influence social interaction frequency via different communication modes. The analysis is based on seven recent data collections on personal social networks from Canada, Chile, Switzerland, the Netherlands, and Japan. A multilevel-multivariate mixed model that explicitly accounts for the hierarchical nature of the data is used to jointly analyze contact frequency patterns across all samples. We show the existence of very consistent associations across samples between individual and relational characteristics and social interactions such as age, network size, distance and emotional closeness. At the same time, for other characteristics such as gender and relationship type, among others, effect patterns were less clear, differences that might be explained by intrinsic contextual characteristics as well as methodological differences among studies. ; As face-to-face and ICT-mediated social interaction patterns are relevant to explain (social) travel behavior, the objective of this paper is to study comparatively the factors that influence social interaction frequency via different communication modes. The analysis is based on seven recent data collections on personal social networks from Canada, Chile, Switzerland, the Netherlands, and Japan. A multilevel-multivariate mixed model that explicitly accounts for the hierarchical nature of the data is used to jointly analyze contact frequency patterns across all samples. We show the existence of very consistent associations across samples between individual and relational characteristics and social interactions such as age, network size, distance and emotional closeness. At the same time, for other characteristics such as gender and relationship type, among others, effect patterns were less clear, differences that might be explained by intrinsic contextual characteristics as well as ...

Topics

  • gender
  • data
  • travel
  • age
  • face
  • traffic behavior
  • data collection
  • Ib
  • Sadb
  • Tahe
  • Imbo
  • Incb
  • Imfac
  • Sadc

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