A path analysis of social networks, ICT use and social activity-travel patterns in the Netherlands
Face-to-face social activities are responsible for an important part of travel demand and are therefore important for transport planners to take into account. Social activities and the involved travel are likely to be influenced by the use of new information and communication technologies (ICT’s), as these ICT’s offer new possibilities for social interaction. Moreover, social activities and the travel for these activities can emerge from the individuals’ social networks. Although international transportation researchers have recognized the relevance of social trip generation and the impacts of... Mehr ...
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Erscheinungsdatum: | 2010 |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-29196586 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | http://repository.tue.nl/694111 |
Face-to-face social activities are responsible for an important part of travel demand and are therefore important for transport planners to take into account. Social activities and the involved travel are likely to be influenced by the use of new information and communication technologies (ICT’s), as these ICT’s offer new possibilities for social interaction. Moreover, social activities and the travel for these activities can emerge from the individuals’ social networks. Although international transportation researchers have recognized the relevance of social trip generation and the impacts of social networks and ICT on activity travel patterns, empirical studies on this matter are scarce. The purpose of the paper is to add to our understanding of social travel demand by analyzing the relationships between personal characteristics, properties of the built environment, social networks, ICT use and social activity-travel patterns. Using path analysis, hypotheses on these links are tested. The analyses are based on data collected in 2008 in the Eindhoven region in the Netherlands among 747 respondents, using a two-day social interaction diary and a questionnaire. The paper presents the results of the path analysis and discusses the implications of the findings for transport planning and modeling.