Collecting Social Network Data to Study Social Activity-Travel Behavior: An Egocentric Approach
By Juan Antonio Carrasco, Bernie Hogan, Barry Wellman, Eric J. Miller. 2008
306 citations recorded by the source corpus.
Subfields: Transportation
View Paper: https://www.semanticscholar.org/paper/dfc378fcfa207ea97cd1e66af2442aa650ef2f88
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Transportation
- Chandra R. Bhat
- Moshe E. Ben-Akiva
- Sivaramakrishnan Srinivasan
- Joan L. Walker
- Maya Abou-Zeid
- C. Orlebar
- S. Skippon
- John Axsen
Citations in the corpus
- Social influence and consumer preference formation for pro-environmental technology: The case of a U.K. workplace electric-vehicle study (2013, methodology): “To identifywhich aspects of a given participant's social networkwere stimulated by the BEV Study, we collected information about their personal (or egocentric) social network which includes the individual participant (ego), their social connections (alters), and the relationships among them (Carrasc”
- The effect of social comparisons on commute well-being (2011, background): “A number of studies have dealt with data collection aspects and analysis of social interactions (Axhausen, 2008; Carrasco et al., 2008; van den Berg et al., 2009) while some other studies have focused on modeling the effects of others’ travel choices on one’s travel behavior.”
- An exploratory analysis of joint-activity participation characteristics using the American time use survey (2008, background): “These results provide additional empirical evidence to support the claim (Carrasco et al., 2006 and Kemperman et al., 2006) that individuals are perhaps not very flexible in their choice of destination location for the pursuit of discretionarytype activities undertaken with non-household companions.”
- Correcting for endogeneity in behavioral choice models with social influence variables (2011, background): “Important avenues of research in this domain include capturing influences from tight social networks such as among household members (see, for example, Bradley and Vovsha, 2005; Gliebe and Koppelman, 2005; Srinivasan and Bhat, 2005; Arentze and Timmermans, 2009; Timmermans and Zhang, 2009) as well a”