Social Interaction in Travel Behaviour: Insights for Developing Effective Travel Demand Management for Indonesia

  • Yos Sunitiyoso
Part of the Translational Systems Sciences book series (TSS, volume 10)


This chapter discusses research findings related to the effects of social interaction on travel behaviour. Insights gained from the findings are then analysed in relation to strategies and policies to manage travel demand, by reducing or redistributing the demand in space or in time for Indonesian context.


Social Learning Public Transport Travel Behaviour Social Dilemma Travel Mode 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



The author would like to express sincere gratitude and great appreciation to Dr. Erel Avineri and Dr. Kiron Chatterjee who have been supervising and contributing to the studies undertaken by the author at the University of the West of England, Bristol, UK, in 2004–2007.


  1. Ab Rahman, A. (1993). Behavioral and institutional factors influencing car ownership and usage in Kuala Lumpur, Ph.D dissertation, Texas A&M University Texas, 1993.Google Scholar
  2. Ampt, E. (2003). Voluntary household travel behaviour change: Theory and practice. 10th international conference on travel behavior research. Lucerne, Switzerland.Google Scholar
  3. Ampt, E., Buchanan, L., Chatfield, I., & Rooney, A. (1998). Reducing the impact of the car: Creating the conditions for individual change. PTRC European Transport Conference.Google Scholar
  4. Bamberg, S., & Schmidt, P. (1999). Regulating transport: Behavioral changes in the field. Journal of Consumer Policy, 22, 479–509.CrossRefGoogle Scholar
  5. Bandura, A. (1977). Social learning theory. New Jersey: Prentice-Hall Inc.Google Scholar
  6. Bartle, C., & Avineri, E. (2007). Pro-social behaviour in transport social dilemmas: A review. Paper presented at the workshop of frontiers in transportation: Social interactions. Amsterdam.Google Scholar
  7. Beale, J. R., & Bonsall, P. W. (2007). Marketing in the bus industry: A psychological interpretation of some attitudinal and behavioural outcomes. Transportation Research F, 10, 271–287.CrossRefGoogle Scholar
  8. Cairns, S., Sloman, L., Newson, C., Anable, J., Kirkbride, A., & Goodwin, P. (2004). Smarter choices: Changing the way we travel. London: DfT.Google Scholar
  9. Chatterjee, K. (2001). Asymmetric churn – academic jargon or a serious issue for transport planning? Available from
  10. Dawes, R. M. (1980). Social dilemmas. Annual Review of Psychology, 31, 169–193.CrossRefGoogle Scholar
  11. de Young, R. (1993). Changing behavior and making it stick: The conceptualization and management of conservation behavior. Environment and Behavior, 25, 485–505.CrossRefGoogle Scholar
  12. Douglas, J. D. (1974). Understanding everyday life. London: Routledge & Kegan Paul.Google Scholar
  13. Ellison, G., & Fudenberg, D. (1995). Word-of-mouth communication and social learning. Quarterly Journal of Economics, 110, 93–125.CrossRefGoogle Scholar
  14. Fehr, E., & Fischbacher, U. (2003). The nature of human altruism. Nature, 425, 785–791.CrossRefGoogle Scholar
  15. Fried, M., Havens, J., & Thall, M. (1977). Travel behaviour: A synthesized theory. Laboratory of psychosocial studies. Chestnut Hill: Boston College.Google Scholar
  16. Fujii, S., & Gärling, T. (2003). Development of script-based travel mode choice after forced change. Transportation Research Part F, 6, 117–124.CrossRefGoogle Scholar
  17. Fujii, S., & Kitamura, R. (2003). What does a one-month free bus ticket do to habitual drivers? An experimental analysis of habit and attitude change. Transportation, 30, 81–95.CrossRefGoogle Scholar
  18. Fujii, S., Gärling, T., & Kitamura, R. (2001). Changes in drivers’ perceptions and use of public transport during a freeway closure. Environment and Behavior, 33, 796–808.CrossRefGoogle Scholar
  19. Fukuda, D., & Morichi, S. (2007). Incorporating aggregate behavior in an individual’s discrete choice: An application to analyzing illegal bicycle parking behavior. Transportation Research A, 41, 313–325.Google Scholar
  20. Gärling, T., Karlsson, N., Romanus, J., & Selart, M. (1997). Influences of the past on choices of the future. In R. Ranyard, W. R. Crozier, & O. Svenson (Eds.), Decision making: Cognitive models and explanations. London: Routledge.Google Scholar
  21. Gärling, T., Eek, D., Loukopoulos, P., Fujii, S., Johansson-Stenman, O., Kitamura, R., Pendyala, R., & Vilhelmson, B. (2002). A conceptual analysis of the impact of travel demand management on private car use. Transport Policy, 9, 59–70.CrossRefGoogle Scholar
  22. Gergaud, O., & Livat, F. (2004). Team versus individual reputations: A model of interaction and some empirical evidence. 1st European Conference on Cognitive Economics (ECCE 1). Gif-sur-Yvette, France.Google Scholar
  23. Goodwin, P. (1998). The end of equilibrium. In T. Gärling, T. Laitila, & K. Westin (Eds.), Theoretical foundations of travel choice modelling. Amsterdam/New York: Elsevier.Google Scholar
  24. Goodwin, P. (1999). Action or inertia? One year on from a new deal for transport. Transcript of lecture given at Transport Planning Society Meeting at the Institution of Civil Engineers, 22 July 1999. London.Google Scholar
  25. Haley, K. J., & Fessler, D. M. T. (2005). Nobody’s watching? Subtle cues affect generosity in an anonymous economic game. Evolution and Human Behavior, 26, 245–256.CrossRefGoogle Scholar
  26. Henrich, J. (2004). Cultural group selection, coevolutionary processes and large-scale cooperation. Journal of Economic Behavior and Organization, 53, 3–35.CrossRefGoogle Scholar
  27. Henrich, J., & Boyd, R. (2001). Why people punish defectors: Weak conformist transmission can stabilize costly enforcement of norms in cooperative dilemmas. Journal of Theoretical Biology, 208, 79–89.CrossRefGoogle Scholar
  28. Huberman, B. A., & Glance, N. S. (1993). Diversity and collective action. In H. Haken & A. Mikhailov (Eds.), Interdisciplinary approaches to nonlinear systems. Berlin: Springer.Google Scholar
  29. Jensen, M. (1999). Passion and heart in transport-a sociological analysis on transport behaviour. Transport Policy, 6, 19–33.CrossRefGoogle Scholar
  30. Jones, P., & Sloman, L. (2003). Encouraging behavioural change through marketing and management: What can be achieved? 10th international conference on travel behavior research. Lucerne, Switzerland.Google Scholar
  31. Kameda, T., & Nakanishi, D. (2002). Cost/benefit analysis of social/cultural learning in a nonstationary uncertain environment: an evolutionary simulation and an experiment with human subjects. Evolution and Human Behavior, 23, 373–393.CrossRefGoogle Scholar
  32. Kameda, T., & Nakanishi, D. (2003). Does social/cultural learning increase human adaptability? Rogers’ question revisited. Evolution and Human Behavior, 24, 242–260.CrossRefGoogle Scholar
  33. Kerstholt, J. H., & Raaijmakers, J. G. W. (1997). Decision making in dynamic task environments. In R. Ranyard, W. R. Crozier, & O. Svenson (Eds.), Decision making: Cognitive models and explanations. London: Routledge.Google Scholar
  34. Kitamura, R., Nakayama, S., & Yamamoto, T. (1999). Self-reinforcing motorization: Can travel demand management take us out of the social trap? Transport Policy, 6, 135–145.CrossRefGoogle Scholar
  35. Latané, B., & Wolf, S. (1981). The social impact of majorities and minorities. Psychological Review, 88, 438–453.CrossRefGoogle Scholar
  36. Lyons, G. (2004). Transport and society. Transport Reviews, 24, 485–509.CrossRefGoogle Scholar
  37. Mackett, R. L. (2003). Why do people use cars for short trips? Transportation, 30, 329–349.CrossRefGoogle Scholar
  38. Messick, D. M. (1985). Social interdependence and decision making. In G. Wright (Ed.), Behavioral decision making. New York: Plenum Press.Google Scholar
  39. Milinski, M., Semmann, D., & Krambeck, H. J. (2002). Reputation helps solve the ‘tragedy of commons’. Nature, 415(6870), 424–426.CrossRefGoogle Scholar
  40. Nowak, M. A., & Sigmund, K. (1998). Evolution of indirect reciprocity by image scoring. Nature, 393, 573–577.CrossRefGoogle Scholar
  41. Offerman, T., & Sonnemans, J. (1998). Learning by experience and learning by imitating successful others. Journal of Economic Behavior & Organization, 34, 559–575.CrossRefGoogle Scholar
  42. Olson, M. (1965). The logic of collective action: Public goods and the theory of groups (2nd ed.). Cambridge: Harvard University Press.Google Scholar
  43. Pingle, M. (1995). Imitation versus rationality: An experimental perspective on decision making. The Journal of Socio-Economics, 24, 281–315.CrossRefGoogle Scholar
  44. Pingle, M., & Day, R. H. (1996). Modes of economizing behavior: Experimental evidence. Journal of Economic Behavior & Organization, 29, 191–209.CrossRefGoogle Scholar
  45. Root, A. (2001). Can travel vouchers encourage more sustainable travel? Transport Policy, 8, 107–114.CrossRefGoogle Scholar
  46. Sampson, E. (1991). Innovation and the minority-influence model. In E. Sampson (Ed.), Social worlds personal lives: An introduction to social psychology. San Diego: Harcourt Brace Jovanovich, Inc.Google Scholar
  47. Shaheen, S. (2004). Dynamics in behavioral adaptation to a transportation innovation: A case study of Carlink – a smart carsharing system. Institute of Transportation Studies, University of California, Davis.Google Scholar
  48. Simon, H. A. (1956). Rational choice and the structure of the environment. Psychological Review, 63(2), 129.CrossRefGoogle Scholar
  49. Smith, J. M., & Bell, P. A. (1994). Conformity as a determinant of behavior in a resource dilemma. The Journal of Social Psychology, 134, 191–200.CrossRefGoogle Scholar
  50. Stanbridge, K., Lyons, G., & Farthing, S. (2004). Travel behaviour change and residential relocation. International conference on traffic and transport psychology 2004. Nottingham.Google Scholar
  51. Stopher, P. (2005). Voluntary travel behavior change. In K. J. Button & D. A. Hensher (Eds.), Handbook of transport strategy, policy and institutions (pp. 561–578). Amsterdam/New York: Elsevier.Google Scholar
  52. Stradling, S., Meadows, M., & Beatty, S. (2000). Helping drivers out of their cars: Integrating transport policy and social psychology for sustainable change. Transport Policy, 7, 207–215.CrossRefGoogle Scholar
  53. Sunitiyoso, Y., & Matsumoto, S. (2009). Modelling a social dilemma of mode choice based on commuters’ expectations and social learning. European Journal of Operational Research, 193(3), 904–914. doi: 10.1016/j.ejor.2007.10.058.
  54. Sunitiyoso, Y., Avineri, E., & Chatterjee, K. (2009). The role of minority influence on the diffusion of compliance with a demand management measure. In: R. Kitamura and T. Yoshii (Eds.), The expanding sphere of travel behaviour research. Bingley: Emerald Group Publishing Ltd.Google Scholar
  55. Sunitiyoso, Y., Avineri, E., & Chatterjee, K. (2010). Complexity and travel behaviour: A multi-agent simulation for investigating the influence of social aspects on travelers’ compliance with a demand management measure. In E. Silva, N. Karadimitriou, & G. de Roo (Eds.), A planner’s encounter with complexity. Farnham: Ashgate Publishers Ltd.Google Scholar
  56. Sunitiyoso, Y., Avineri, E., & Chatterjee, K. (2011a). On the potential for recognising of social interaction and social learning in modelling travelers’ change of behaviour under uncertainty. Transportmetrica, 7(1), 5–30.CrossRefGoogle Scholar
  57. Sunitiyoso, Y., Avineri, E., & Chatterjee, K. (2011b). The effect of social interactions on travel behaviour: An exploratory study using a laboratory experiment. Transportation Research A, 45, 332–344.Google Scholar
  58. Sunitiyoso, Y., Avineri, E., & Chatterjee, K. (2013). Dynamic modelling of travelers’ social interactions and social learning. Journal of Transport Geography, 31, 258–266.CrossRefGoogle Scholar
  59. Tanford, S., & Penrod, S. (1984). Social influence model: A formal integration of research on majority and minority influence processes. Psychological Bulletin, 95, 189–225.CrossRefGoogle Scholar
  60. Taniguchi, A., & Fujii, S. (2007). Promoting public transport using marketing techniques in mobility management and verifying their quantitative effects. Transportation, 34, 37–49.CrossRefGoogle Scholar
  61. Tertoolen, G., Kreveld, D. V., & Verstraten, B. (1998). Psychological resistance against attempts to reduce private car use. Transportation Research A, 32(3), 171–181.Google Scholar
  62. Timmermans, H., Arentze, T., & Ettema, D. (2003). Learning and adaptation behaviour: Empirical evidence and modelling issues. Eindhoven: Behavioural Responses to ITS.Google Scholar
  63. van Avermaet, E. (1996). Social influence in small groups. In M. Hewstone, W. Stroebe, & G. Stephenson (Eds.), Introduction to social psychology: A European perspective (2nd ed.). New York: Blackwell.Google Scholar
  64. van Lange, P., van Vugt, M., & De Cremer, D. (2000). Choosing between personal comfort and the environment: Solutions to the transportation dilemma. In M. V. Vugt, M. Snyder, T. Tyler, & A. Biel (Eds.), Cooperation in modern society. London: Routledge.Google Scholar
  65. Van Vugt, M., Van Lange, P. A. M., Meertens, R. M., & Joireman, J. A. (1998). How a structural solution to a real-world social dilemma failed: A field experiment on the first carpool lane in Europe. Social Psychology Quarterly, 59, 364–374.CrossRefGoogle Scholar
  66. Verplanken, B., Aarts, H., & Knippenberg, A. V. (1997). Habit, information, acquisition, and the process of making travel mode choice. European Journal of Social Pyschology, 27, 539–560.CrossRefGoogle Scholar

Copyright information

© Springer Japan 2016

Authors and Affiliations

  1. 1.School of Business and ManagementInstitut Teknologi Bandung (ITB)BandungIndonesia

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