IDEAS home Printed from https://ideas.repec.org/r/sae/envirb/v35y2008i6p961-980.html
   My bibliography  Save this item

Collecting Social Network Data to Study Social Activity-Travel Behavior: An Egocentric Approach

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Paola Jiron & Juan Antonio Carrasco, 2019. "Understanding Daily Mobility Strategies through Ethnographic, Time Use, and Social Network Lenses," Sustainability, MDPI, vol. 12(1), pages 1-16, December.
  2. Axsen, Jonn & Kurani, Kenneth S., 2010. "Reflexive layers of influence (RLI): A model of social influence, vehicle purchase behavior, and pro-societal values," Institute of Transportation Studies, Working Paper Series qt69h5j2jf, Institute of Transportation Studies, UC Davis.
  3. Chen, Song & Wei, Xiaoyan & Xia, Nan & Yan, Zhaojin & Yuan, Yi & Zhang, H. Michael & Li, Manchun & Cheng, Liang, 2019. "Understanding road performance using online traffic condition data," Journal of Transport Geography, Elsevier, vol. 74(C), pages 382-394.
  4. Maness, Michael, 2017. "Comparison of social capital indicators from position generators and name generators in predicting activity selection," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 374-395.
  5. Delbosc, Alexa & Mokhtarian, Patricia, 2018. "Face to Facebook: The relationship between social media and social travel," Transport Policy, Elsevier, vol. 68(C), pages 20-27.
  6. Axsen, Jonn, 2010. "Interpersonal Influence within Car Buyers’ Social Networks: Observing Consumer Assessment of Plug-in Hybrid Electric Vehicles (PHEVs) and the Spread of Pro-Societal Values," Institute of Transportation Studies, Working Paper Series qt8p32d18k, Institute of Transportation Studies, UC Davis.
  7. Jones, Peter & Lucas, Karen, 2012. "The social consequences of transport decision-making: clarifying concepts, synthesising knowledge and assessing implications," Journal of Transport Geography, Elsevier, vol. 21(C), pages 4-16.
  8. Pike, Susan & Lubell, Mark, 2016. "Geography and social networks in transportation mode choice," Journal of Transport Geography, Elsevier, vol. 57(C), pages 184-193.
  9. Shakeri, Heman & Moradi-Jamei, Behnaz & Poggi-Corradini, Pietro & Albin, Nathan & Scoglio, Caterina, 2018. "Generalization of effective conductance centrality for egonetworks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 511(C), pages 127-138.
  10. Iryo, Takamasa & Watling, David, 2019. "Properties of equilibria in transport problems with complex interactions between users," Transportation Research Part B: Methodological, Elsevier, vol. 126(C), pages 87-114.
  11. Ryley, Tim J. & Zanni, Alberto M., 2013. "An examination of the relationship between social interactions and travel uncertainty," Journal of Transport Geography, Elsevier, vol. 31(C), pages 249-257.
  12. Matous, Petr, 2017. "Complementarity and substitution between physical and virtual travel for instrumental information sharing in remote rural regions: A social network approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 99(C), pages 61-79.
  13. Lin, Tao & Wang, Donggen & Zhou, Meng, 2018. "Residential relocation and changes in travel behavior: what is the role of social context change?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 360-374.
  14. Calastri, Chiara & Hess, Stephane & Daly, Andrew & Carrasco, Juan Antonio & Choudhury, Charisma, 2018. "Modelling the loss and retention of contacts in social networks: The role of dyad-level heterogeneity and tie strength," Journal of choice modelling, Elsevier, vol. 29(C), pages 63-77.
  15. Vinayak, Pragun & Dias, Felipe F. & Astroza, Sebastian & Bhat, Chandra R. & Pendyala, Ram M. & Garikapati, Venu M., 2018. "Accounting for multi-dimensional dependencies among decision-makers within a generalized model framework: An application to understanding shared mobility service usage levels," Transport Policy, Elsevier, vol. 72(C), pages 129-137.
  16. Lin, Tao & Wang, Donggen, 2015. "Tradeoffs between in- and out-of-residential neighborhood locations for discretionary activities and time use: do social contexts matter?," Journal of Transport Geography, Elsevier, vol. 47(C), pages 119-127.
  17. Kirstie Cadger & Andrews K. Quaicoo & Evans Dawoe & Marney E. Isaac, 2016. "Development Interventions and Agriculture Adaptation: A Social Network Analysis of Farmer Knowledge Transfer in Ghana," Agriculture, MDPI, vol. 6(3), pages 1-14, July.
  18. Maness, Michael & Cirillo, Cinzia & Dugundji, Elenna R., 2015. "Generalized behavioral framework for choice models of social influence: Behavioral and data concerns in travel behavior," Journal of Transport Geography, Elsevier, vol. 46(C), pages 137-150.
  19. Kowald, Matthias & van den Berg, Pauline & Frei, Andreas & Carrasco, Juan-Antonio & Arentze, Theo & Axhausen, Kay & Mok, Diana & Timmermans, Harry & Wellman, Barry, 2013. "Distance patterns of personal networks in four countries: a comparative study," Journal of Transport Geography, Elsevier, vol. 31(C), pages 236-248.
  20. Kourtit, Karima & Nijkamp, Peter & Steenbruggen, John, 2017. "The significance of digital data systems for smart city policy," Socio-Economic Planning Sciences, Elsevier, vol. 58(C), pages 13-21.
  21. Roy, P. & Martínez, A.J. & Miscione, G. & Zuidgeest, M.H.P. & van Maarseveen, M.F.A.M., 2012. "Using Social Network Analysis to profile people based on their e-communication and travel balance," Journal of Transport Geography, Elsevier, vol. 24(C), pages 111-122.
  22. Konstadinos G. Goulias & Ram M. Pendyala, 2014. "Choice context," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 5, pages 101-130, Edward Elgar Publishing.
  23. Janmaat, Johannus & Geleta, Solomon & Loomis, John, 2019. "Detecting social network effects on willingness to pay for environmental improvements using egocentric network measures," MPRA Paper 96675, University Library of Munich, Germany.
  24. Calastri, Chiara & Hess, Stephane & Daly, Andrew & Carrasco, Juan Antonio, 2017. "Does the social context help with understanding and predicting the choice of activity type and duration? An application of the Multiple Discrete-Continuous Nested Extreme Value model to activity diary," Transportation Research Part A: Policy and Practice, Elsevier, vol. 104(C), pages 1-20.
  25. Matous, Petr & Todo, Yasuyuki & Mojo, Dagne, 2013. "Boots are made for walking: interactions across physical and social space in infrastructure-poor regions," Journal of Transport Geography, Elsevier, vol. 31(C), pages 226-235.
  26. Xiao, Yu & Lo, Hong K., 2016. "Day-to-day departure time modeling under social network influence," Transportation Research Part B: Methodological, Elsevier, vol. 92(PA), pages 54-72.
  27. Pan, Xiaofeng & Rasouli, Soora & Timmermans, Harry, 2019. "Modeling social influence using sequential stated adaptation experiments: A study of city trip itinerary choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 652-672.
  28. van den Berg, Pauline & Weijs-Perrée, Minou & Arentze, Theo, 2018. "Dynamics in social activity-travel patterns: Analyzing the role of life-cycle events and path dependence in face-to-face and ICT-mediated social interactions," Research in Transportation Economics, Elsevier, vol. 68(C), pages 29-37.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.