Distance patterns of personal networks in four countries: a comparative study
•We compare distances between home locations of personal networks in four countries.•Multilevel models are used to study these distance patterns.•Characteristics of social ties and personal networks are the strongest predictors.•Ego’s socio-demographics are weaker predictors of distance patterns.•Di...
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| Veröffentlicht in: | Journal of transport geography Jg. 31; S. 236 - 248 |
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| Sprache: | Englisch |
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01.07.2013
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| ISSN: | 0966-6923, 1873-1236 |
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| Abstract | •We compare distances between home locations of personal networks in four countries.•Multilevel models are used to study these distance patterns.•Characteristics of social ties and personal networks are the strongest predictors.•Ego’s socio-demographics are weaker predictors of distance patterns.•Differences between countries exist on ego’s income and ego-alter tie strength.
Acknowledging the relevance of social networks on (social) travel behaviour, the objective of this paper is to comparatively study the distance patterns between the home locations of social contacts. Analyses are based on five recent collections of personal network data from four countries: Canada, Switzerland, the Netherlands, and Chile. Multilevel models, which explicitly account for the hierarchical structure of the data sets, are used to study the role of explanatory variables to understand the distance patterns of social contacts. Modelling results suggest that alters’ characteristics (such as type of relationship, emotional closeness, and duration of the relationship) as well as personal network composition (alters with a certain relationship to the ego) constitute stronger predictors than an ego’s socio-demographic information across these countries. In addition, comparative analyses suggest differences between countries on relevant key variables such as an ego’s income and the ego–alter tie strength. |
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| AbstractList | Acknowledging the relevance of social networks on (social) travel behaviour, the objective of this paper is to comparatively study the distance patterns between the home locations of social contacts. Analyses are based on five recent collections of personal network data from four countries: Canada, Switzerland, the Netherlands, and Chile. Multilevel models, which explicitly account for the hierarchical structure of the data sets, are used to study the role of explanatory variables to understand the distance patterns of social contacts. Modelling results suggest that alters' characteristics (such as type of relationship, emotional closeness, and duration of the relationship) as well as personal network composition (alters with a certain relationship to the ego) constitute stronger predictors than an ego's socio-demographic information across these countries. In addition, comparative analyses suggest differences between countries on relevant key variables such as an ego's income and the ego-alter tie strength. •We compare distances between home locations of personal networks in four countries.•Multilevel models are used to study these distance patterns.•Characteristics of social ties and personal networks are the strongest predictors.•Ego’s socio-demographics are weaker predictors of distance patterns.•Differences between countries exist on ego’s income and ego-alter tie strength. Acknowledging the relevance of social networks on (social) travel behaviour, the objective of this paper is to comparatively study the distance patterns between the home locations of social contacts. Analyses are based on five recent collections of personal network data from four countries: Canada, Switzerland, the Netherlands, and Chile. Multilevel models, which explicitly account for the hierarchical structure of the data sets, are used to study the role of explanatory variables to understand the distance patterns of social contacts. Modelling results suggest that alters’ characteristics (such as type of relationship, emotional closeness, and duration of the relationship) as well as personal network composition (alters with a certain relationship to the ego) constitute stronger predictors than an ego’s socio-demographic information across these countries. In addition, comparative analyses suggest differences between countries on relevant key variables such as an ego’s income and the ego–alter tie strength. Acknowledging the relevance of social networks on (social) travel behaviour, the objective of this paper is to comparatively study the distance patterns between the home locations of social contacts. Analyses are based on five recent collections of personal network data from four countries: Canada, Switzerland, the Netherlands, and Chile. Multilevel models, which explicitly account for the hierarchical structure of the data sets, are used to study the role of explanatory variables to understand the distance patterns of social contacts. Modelling results suggest that altersa characteristics (such as type of relationship, emotional closeness, and duration of the relationship) as well as personal network composition (alters with a certain relationship to the ego) constitute stronger predictors than an egoas socio-demographic information across these countries. In addition, comparative analyses suggest differences between countries on relevant key variables such as an egoas income and the egoaalter tie strength. |
| Author | Carrasco, Juan-Antonio Axhausen, Kay Wellman, Barry Arentze, Theo van den Berg, Pauline Frei, Andreas Timmermans, Harry Kowald, Matthias Mok, Diana |
| Author_xml | – sequence: 1 givenname: Matthias surname: Kowald fullname: Kowald, Matthias organization: Institute for Transport Planning and Systems (IVT), ETH Zurich, 8093 Zurich, Switzerland – sequence: 2 givenname: Pauline surname: van den Berg fullname: van den Berg, Pauline organization: Faculty of the Built Environment, Urban Planning Group, Eindhoven University of Technology, P.O. Box 513, 5600 MB Eindhoven, The Netherlands – sequence: 3 givenname: Andreas surname: Frei fullname: Frei, Andreas organization: Institute for Transport Planning and Systems (IVT), ETH Zurich, 8093 Zurich, Switzerland – sequence: 4 givenname: Juan-Antonio surname: Carrasco fullname: Carrasco, Juan-Antonio email: j.carrasco@udec.cl organization: Department of Civil Engineering, Universidad de Concepción, P.O. Box 160-C, Concepción, Chile – sequence: 5 givenname: Theo surname: Arentze fullname: Arentze, Theo organization: Faculty of the Built Environment, Urban Planning Group, Eindhoven University of Technology, P.O. Box 513, 5600 MB Eindhoven, The Netherlands – sequence: 6 givenname: Kay surname: Axhausen fullname: Axhausen, Kay organization: Institute for Transport Planning and Systems (IVT), ETH Zurich, 8093 Zurich, Switzerland – sequence: 7 givenname: Diana surname: Mok fullname: Mok, Diana organization: Department of Geography, University of Western Ontario, Social Science Centre, ON London, ON N6A 5C2, Canada – sequence: 8 givenname: Harry surname: Timmermans fullname: Timmermans, Harry organization: Faculty of the Built Environment, Urban Planning Group, Eindhoven University of Technology, P.O. Box 513, 5600 MB Eindhoven, The Netherlands – sequence: 9 givenname: Barry surname: Wellman fullname: Wellman, Barry organization: Department of Sociology, University of Toronto, 725 Spadina Avenue, Toronto, ON M5S 2J4, Canada |
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| Keywords | Travel behaviour Comparative studies Data collection Social activity Social networks Distance between social contacts |
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| Snippet | •We compare distances between home locations of personal networks in four countries.•Multilevel models are used to study these distance... Acknowledging the relevance of social networks on (social) travel behaviour, the objective of this paper is to comparatively study the distance patterns... |
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| SubjectTerms | Collection Comparative studies Data collection Distance between social contacts EGO Geography Mathematical models Multilevel Networks Social activity Social networks Travel behaviour |
| Title | Distance patterns of personal networks in four countries: a comparative study |
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