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Exploring the propensity to perform social activities: a social network approach

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Abstract

Conceptual and empirical models of the propensity to perform social activity–travel behavior are described, which incorporate the influence of individuals’ social context, namely their social networks. More explicitly, the conceptual model develops the concepts of egocentric social networks, social activities, and social episodes, and defines the three sets of aspects that influence the propensity to perform social activities: individuals’ personal attributes, social network composition, and information and communication technology interaction with social network members. Using the structural equation modeling (SEM) technique and data recently collected in Toronto, the empirical model tests the effect of these three aspects on the propensity to perform social activities. Results suggest that the social networks framework provides useful insights into the role of physical space, social activity types, communication and information technology use, and the importance of “with whom” the activity was performed with. Overall, explicitly incorporating social networks into the activity–travel behavior modeling framework provides a promising framework to understand social activities and key aspects of the underlying behavioral process.

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References

  • Axhausen, K.W.: A Dynamic Understanding of Travel Demand: A Sketch. Arbeitsberichte Verkehrs- und Raumplanung, 119. Institut für Verkehrsplanung, Transporttechnik, Strassenund Eisenbahnbau (IVT), ETH Zurich, Zurich (2002)

  • Axhausen, K.W.: Social networks and travel: some hypotheses. In: Donaghy, K. (ed.) Social Aspects of Sustainable Transport: Transatlantic Perspectives. Ashgate, Aldershot (2006)

  • Carrasco, J.A., Hogan, B., Wellman, B., Miller, E.J.: Collecting social network data to study social activity–travel behavior: An egocentred approach. Environ. Plan. B (forthcoming 2007)

  • Chapin, F.S.: Human Activity Patterns in the City: Things People Do in Time and in Space. Wiley, New York (1974)

    Google Scholar 

  • Dugundji, E., Walker, J.: Discrete choice with social and spatial network interdependencies: an empirical example using Mixed GEV models with field and “panel” effects. Transport. Res. Rec. 1921, 70–78 (2005)

    Google Scholar 

  • Golob, T.: Structural equation modeling for travel behavior research. Transport. Res. 37B, 1–25 (2003)

    Article  Google Scholar 

  • Hägerstrand, T.: What about people in regional science? Papers Reg. Sci. Assoc. 24(7), 7–21 (1970)

    Google Scholar 

  • Harvey, D.: Explanation in Geography. Edward Arnold, London (1969)

    Google Scholar 

  • Hogan, B.: Managing to connect: linking social structure to personal network management. XXV International Sunbelt Social Network Conference, February 16–20, 2005, Redondo Beach, California (2005)

  • Jöreskog, K., Sörbom, D.: LISREL 8.51. Scientific Software International (2001)

  • Kemper, F.J.: Social contacts of an urban-population within an activity-space framework. Geogr. Z. 68(3), 199–222 (1980)

    Google Scholar 

  • Lu, X., Pas, E.: Socio-demographics, activity participation and travel behavior. Transport. Res. 33A, 1–18 (1999)

    Google Scholar 

  • McCarty, C., Killworth, P.D., Bernard, H.R., Johnsen, E.C., Shelley, G.A.: Comparing two methods for estimating network size. Human Organ. 60, 28–39 (2000)

    Google Scholar 

  • Miller, E.J.: Propositions for modelling household decision-making. In: Lee-Gosselin, M., Doherty, S. (eds.) Integrated Land-Use and Transportation Models: Behavioural Foundations. Elsevier, New York (2005)

    Google Scholar 

  • Miller, E.J., Roorda, M.: A prototype model of household activity/travel scheduling. Transport. Res. Rec. 1831, 114–121 (2003)

    Google Scholar 

  • Mokhtarian, P., Salomon, I., Handy, S.: A taxonomy of leisure activities, with implications for the choice of ICT alternatives. 10th International Conference on Travel Behavior Research, August 10–15, 2003, Lucerne (2003)

  • Páez, A., Scott, D.: Social influence on travel behavior: a simulation example of the decision to telecommute. Environ. Plan. A (forthcoming 2006)

  • Pas, E.: Is travel demand analysis and modelling in the doldrums? In: Jones, P. (ed.) Developments in Dynamic and Activity-based Approaches to Travel Analysis. Gower, Aldreshot (1990)

    Google Scholar 

  • Salvini, P., Miller, E.J.: ILUTE: an operational prototype of a comprehensive microsimulation model of urban systems. Netw. Spat. Econ. 5, 217–234 (2005)

    Article  Google Scholar 

  • Schlich, R., Schönfelder, S., Hanson, S., Axhausen, K.W.: Structures of leisure travel: temporal and spatial variability. Transport Rev. 24(2), 219–237 (2004)

    Article  Google Scholar 

  • Senbil, M., Kitamura, R.: Simultaneous relationships between telecommunications and activities. 10th International Conference on Travel Behavior Research, August 10–15, 2003, Lucerne (2003)

  • Stutz, F.P.: Intra-urban social visiting and leisure behavior. J. Leis. Res. 5(1), 6–15 (1973)

    Google Scholar 

  • Tindall, D., Wellman, B.: Canada as social structure: social network analysis and Canadian Sociology. Can. J. Sociol. 26(2), 265–308 (2001)

    Google Scholar 

  • Washington, S., Karlaftis, M., Mannering, F.: Statistical and Econometric Methods for Transportation Data Analysis. Chapman & Hall, Washington DC (2003)

    Google Scholar 

  • Wellman, B.: Structural analysis: from method and metaphor to theory and substance. In: Berkowitz, S., Wellman, B. (eds.) Social Structures: A Network Approach. Cambridge University Press, New York (1988)

    Google Scholar 

  • Wellman, B.: Physical space and cyberspace: the rise of personalized networking. J. Urban Reg. Res. 25(2), 227–252 (2001)

    Article  Google Scholar 

  • Wellman, B., Hogan, B., Berg, K., Boase, J., Carrasco, J.A., Côté, R., Kayahara, J., Kennedy, T., Tran, P.: Connected lives: the project. In: Purcell, P. (ed.) The Networked Neighbourhood. Springer, London (2006)

    Google Scholar 

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Authors and Affiliations

  1. Department of Civil Engineering, University of Toronto, Toronto, M5S1A4, Canada

    Juan Antonio Carrasco & Eric J. Miller

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  1. Juan Antonio Carrasco
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  2. Eric J. Miller
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Correspondence to Juan Antonio Carrasco.

Additional information

Juan Antonio Carrasco a PhD candidate in Civil Engineering at the University of Toronto, holds a MSc degree in Transportation Engineering from the Pontificia Universidad Católica de Chile. His doctoral research explores the relationships between social networks, activity–travel behavior, and ICTs. His research interests also include microsimulation, land use-transportation, and econometric modeling.

Eric J. Miller is Bahen-Tanenbaum Professor of Civil Engineering at the University of Toronto where he is also Director of the Joint Program in Transportation. His research interests include integrated land-use/transportation modeling, activity-based travel modeling, microsimulation and sustainable transportation planning.

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Carrasco, J.A., Miller, E.J. Exploring the propensity to perform social activities: a social network approach. Transportation 33, 463–480 (2006). https://doi.org/10.1007/s11116-006-8074-z

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