2,633
Views
123
CrossRef citations to date
0
Altmetric
Original Articles

Response to Travel Information: A Behavioural Review

&
Pages 352-377 | Received 22 Apr 2014, Accepted 02 Feb 2015, Published online: 06 Mar 2015

References

  • Abdel-Aty, M., Kitamura, R., & Jovanis, P. (1997). Using stated preferences data for studying the effect of advanced traffic information on drivers’ route choice. Transportation Research Part C: Emerging Technologies, 5(1), 39–50. doi: 10.1016/S0968-090X(96)00023-X
  • Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179–211. doi: 10.1016/0749-5978(91)90020-T
  • Arentze, T. A., & Timmermans, H. J. P. (2003). Modeling learning and adaptation processes in activity-travel choice: A framework and numerical experiments. Transportation, 30, 37–62. doi: 10.1023/A:1021290725727
  • Arentze, T. A., & Timmermans, H. J. P. (2005). Information gain, novelty seeking and travel: A model of dynamic activity-travel behavior under conditions of uncertainty. Transportation Research Part A: Policy and Practice, 39, 125–145.
  • Arnott, R., de Palma, A., & Lindsey, R. (1991). Does providing information to drivers reduce traffic congestion? Transportation Research Part A: Policy and Practice, 25, 309–318. doi: 10.1016/0191-2607(91)90146-H
  • Arnott, R., de Palma, A., & Lindsey, R. (1996). Information and usage of free-access congestible facilities. International Economic Review, 37, 181–203. doi: 10.2307/2527252
  • Arnott, R., de Palma, A., & Lindsey, R. (1999). Information and time-of-usage decisions in the bottleneck model with stochastic capacity and demand. European Economic Review, 43, 525–548. doi: 10.1016/S0014-2921(98)00013-0
  • Avineri, E. (2006). The effect of reference point on stochastic network equilibrium. Transportation Science, 40(4), 409–420. doi: 10.1287/trsc.1060.0158
  • Avineri, E. (2009). Incorporating fuzzy reference points into applications of travel choice modelling. In E. Avineri, M. Köppen, Y. Sunitiyoso, K. Dahal, & R. Roy (Eds.), Applications of soft computing: Updating the state of art (pp. 221–229). Germany: Springer.
  • Avineri, E. (2012). On the use and potential of behavioural economics from the perspective of transport and climate change. Journal of Transport Geography, 24, 512–521. doi: 10.1016/j.jtrangeo.2012.03.003
  • Avineri, E., & Bovy, P. H. L. (2008). Identification of parameters for a prospect theory model for travel choice analysis. Transportation Research Record, (2082), 141–147. doi: 10.3141/2082-17
  • Avineri, E., & Prashker, J. N. (2003). Sensitivity to uncertainty: Need for a paradigm shift. Transportation Research Record, (1854), 90–98. doi: 10.3141/1854-10
  • Avineri, E., & Prashker, J. N. (2004). Violations of expected utility theory in route-choice stated preferences: Certainty effect and inflation of small probabilities. Transportation Research Record, (1894), 222–229. doi: 10.3141/1894-23
  • Avineri, E., & Prashker, J. N. (2005). Sensitivity to travel time variability: Travelers’ learning perspective. Transportation Research Part C: Emerging Technologies, 13, 157–183. doi: 10.1016/j.trc.2005.04.006
  • Avineri, E., & Prashker, J. N. (2006). The impact of travel time information on travelers’ learning under uncertainty. Transportation, 33, 393–408. doi: 10.1007/s11116-005-5710-y
  • Avineri, E., & Waygood, E. O. D. (2013). Applying valence framing to enhance the effect of information on transport-related carbon dioxide emissions. Transportation Research Part A: Policy and Practice, 48, 31–38. doi: 10.1016/j.trb.2012.11.001
  • Balakrishna, R., Ben-Akiva, M., Bottom, J., & Gao, S. (2013). Information impacts on traveler behavior and network performance: State of knowledge and future directions. In S. V. Ukkusuri, & K. Ozbay (Eds.),. Advances in dynamic network modeling in complex transportation systems (pp. 193–224). New York, NY: Springer.
  • Barron, G., & Erev, I. (2003). Small feedback-based decisions and their limited correspondence to description-based decisions. Journal of Behavioral Decision Making, 16(3), 215–233. doi: 10.1002/bdm.443
  • Bartle, C., Avineri, E., & Chatterjee, K. (2013). Online information-sharing: A qualitative analysis of community, trust and social influence amongst commuter cyclists in the UK. Transportation Research Part F: Traffic Psychology and Behaviour, 16, 60–72. doi: 10.1016/j.trf.2012.08.013
  • Beckmann, M. J., McGuire, C. B., & Winsten, C. B. (1956). Studies in the economics of transportation. New Haven, CT: Yale University Press.
  • Ben-Akiva, M., & Lerman, S. R. (1985). Discrete choice analysis: Theory and application in travel demand. Cambridge: MIT Press.
  • Ben-Akiva, M., de Palma, A., & Kaysi, I. (1991). Dynamic network models and driver information systems. Transportation Research Part A: Policy and Practice, 25, 251–266. doi: 10.1016/0191-2607(91)90142-D
  • Ben-Elia, E., Di Pace, R., Bifulco, G. N., & Shiftan, Y. (2013). The impact of travel information's accuracy on route-choice. Transportation Research Part C: Emerging Technologies, 26, 146–159. doi: 10.1016/j.trc.2012.07.001
  • Ben-Elia, E., Erev, I., & Shiftan, Y. (2008). The combined effect of information and experience on drivers route-choice behavior. Transportation, 35, 165–177. doi: 10.1007/s11116-007-9143-7
  • Ben-Elia, E., & Ettema, D. (2011). Rewarding rush-hour avoidance: A study of commuters’ travel behavior. Transportation Research Part A: Policy and Practice, 45, 567–582.
  • Ben-Elia, E., Ishaq, R., & Shiftan, Y. (2013). “If only I had taken the other road … ”: Regret, risk and reinforced learning in informed route-choice. Transportation, 40, 269–293. doi: 10.1007/s11116-012-9426-5
  • Ben-Elia, E., & Shiftan, Y. (2010). Which road do I take? A learning-based model of route-choice behavior with real-time information. Transportation Research Part A: Policy and Practice, 44, 249–264.
  • Ben-Elia, E., & Shiftan, Y. (2013). Editorial: Understanding behavioural change: An international perspective on sustainable travel behaviours and their motivations. Selected papers from the 12th World conference on transportation research. Transport Policy, 26, 1–3.
  • Bernoulli, D. (1738). Exposition of a new theory on the measurement of risk, Comentarii Academiae Scientiarum Imperialis Petropolitanae, translated and reprinted in 1954. Econometrica, 22, 22–36.
  • Bogers, E., Bierlaire, M., & Hoogendoorn, S. (2007). Modeling learning in route choice. Transportation Research Record, (2014), 1–8. doi: 10.3141/2014-01
  • Bonsall, P. (2004). Traveller behavior: Decision-making in an unpredictable world. Journal of Intelligent Transportation Systems, 8, 45–60. doi: 10.1080/15472450490437744
  • Camilleri, A. R., & Newell, B. R. (2011). When and why rare events are underweighted: A direct comparison of the sampling, partial feedback, full feedback and description choice paradigms. Psychonomic Bulletin & Review, 18, 377–384. doi: 10.3758/s13423-010-0040-2
  • Cascetta, E., & Cantarella, G. E. (1991). A day-to-day and within-day dynamic stochastic assignment model. Transportation Research Part A, 25(5), 277–291. doi: 10.1016/0191-2607(91)90144-F
  • Chater, N., Oaksford, M., Nakisa, R., & Redington, M. (2003). Fast, frugal and rational: How rational norms explain behavior. Organizational Behavior and Human Decision Processes, 90, 63–86. doi: 10.1016/S0749-5978(02)00508-3
  • Chorus, C. G. (2010). Regret theory based route choices and traffic equilibria. Transportmetrica, 8, 291–305. doi: 10.1080/18128602.2010.498391
  • Chorus, C. G. (2014a). Acquisition of ex-post travel information: A matter of balancing regrets. Transportation Science, 48(2), 243–255. doi: 10.1287/trsc.2013.0466
  • Chorus, C. G. (2014b). Risk aversion, regret aversion and travel choice inertia: An experimental study. Transportation Planning and Technology, 37(4), 321–332. doi: 10.1080/03081060.2014.899076
  • Chorus, C. G., Arentze, T. A., & Timmermans, H. J. P. (2008). A random regret-minimization model of travel choice. Transportation Research Part B: Methodological, 42, 1–18. doi: 10.1016/j.trb.2007.05.004
  • Chorus, C. G., Arentze, T. A., & Timmermans, H. J. P. (2009). Traveler compliance with advice: A Bayesian utilitarian perspective. Transportation Research Part E: Logistics and Transportation Review, 45, 486–500. doi: 10.1016/j.tre.2008.10.004
  • Chorus, C. G., Molin, E. J., & Van Wee, B. (2006). Use and effects of Advanced Traveller Information Services (ATIS): A review of the literature. Transport Reviews, 26, 127–149. doi: 10.1080/01441640500333677
  • Chorus, C. G., Molin, E. J., Van Wee, B., Arentze, T., & Timmermans, H. (2006). Responses to transit information among car-drivers: Regret-based models and simulations. Transportation Planning and Technology, 29, 249–271. doi: 10.1080/03081060600905434
  • Chorus, C. G., Walker, J. L., & Ben-Akiva, M. (2013). A joint model of travel information acquisition and response to received messages. Transportation Research Part C: Emerging Technologies, 26, 61–77. doi: 10.1016/j.trc.2012.07.002
  • Connors, R. D., & Sumalee, A. (2009). A network equilibrium model with travellers’ perception of stochastic travel times. Transportation Research Part B: Methodological, 43(6), 614–624. doi: 10.1016/j.trb.2008.12.002
  • Daganzo, C. (1983). Stochastic network equilibrium with multiple vehicle types and asymmetric, indefinite link cost Jacobians. Transportation Science, 17, 282–300. doi: 10.1287/trsc.17.3.282
  • Daganzo, C., & Sheffi, Y. (1977). On stochastic models of traffic assignment. Transportation Research Part B: Methodological, 14, 243–255.
  • Denrell, J. (2007). Adaptive learning and risk taking. Psychological Review, 114, 177–187. doi: 10.1037/0033-295X.114.1.177
  • Denrell, J., & March, J. G. (2001). Adaptation as information restriction: The hot stove effect. Organization Science, 12, 523–538. doi: 10.1287/orsc.12.5.523.10092
  • De Palma, A., & Picard, N. (2005). Route choice decision under travel time uncertainty. Transportation Research Part A: Policy and Practice, 39, 295–324.
  • Dia, H., & Panwai, S. (2010). Evaluation of discrete choice and neural network approaches for modelling driver compliance with traffic information. Transportmetrica, 6(4), 249–270.
  • Ellsberg, D. (1961). Risk, ambiguity, & the Savage axioms. Quarterly Journal of Economics, 75, 643–669. doi: 10.2307/1884324
  • Emmerink, R. H. M., Axhausen, K. W., Nijkamp, P., & Rietveld, P. (1995a). Effects of information in road transport networks with recurrent congestion. Transportation, 22, 21–53. doi: 10.1007/BF01151617
  • Emmerink, R. H. M., Axhausen, K. W., Nijkamp, P., & Rietveld, P. (1995b). The potential of information provision in a simulated road transport network with non-recurrent congestion. Transportation Research Part C: Emerging Technologies, 3, 293–309. doi: 10.1016/0968-090X(95)00012-8
  • Emmerink, R. H. M., Verhoef, E. T., Nijkamp, P., & Rietveld, P. (1998). Information policy in road transport with elastic demand: Some welfare economic considerations. European Economic Review, 42, 71–95. doi: 10.1016/S0014-2921(96)00064-5
  • Erev, I., & Barron, G. (2005). On adaptation, maximization and reinforcement learning among cognitive strategies. Psychological Review, 112, 912–931. doi: 10.1037/0033-295X.112.4.912
  • Erev, I., Ert, E., & Yechiam, E. (2008). Loss aversion, diminishing sensitivity, & the effect of experience on repeated decisions. Journal of Behavioral Decision Making, 21, 575–597. doi: 10.1002/bdm.602
  • Ettema, D., Gärling, T., Eriksson, T., Friman, M., Olsson, E. L., & Fujii, S. (2011). Satisfaction with travel and subjective well-being: Development and test of a measurement tool. Transportation Research Part F: Traffic Psychology and Behaviour, 14, 167–175. doi: 10.1016/j.trf.2010.11.002
  • Ettema, D., & Timmermans, H. (2006). Costs of travel time uncertainty and benefits of travel time information: Conceptual model and numerical examples. Transportation Research Part C: Emerging Technologies, 14, 335–350. doi: 10.1016/j.trc.2006.09.001
  • Farag, S., & Lyons, G. (2010). Explaining public transport information use when a car is available: Attitude theory empirically investigated. Transportation, 37, 897–913. doi: 10.1007/s11116-010-9265-1
  • Farag, S., & Lyons, G. (2012). To use or not to use? An empirical study of pre-trip public transport information for business and leisure trips and comparison with car travel. Transport Policy, 20, 82–92. doi: 10.1016/j.tranpol.2011.03.007
  • Fogg, B. J. (2002). Persuasive technology: Using computers to change what we think and do. Ubiquity, 2002, Article No. 5.
  • Fox, C. R., & Tversky, A. (1995). Ambiguity aversion and comparative ignorance. Quarterly Journal of Economics, 110, 585–603. doi: 10.2307/2946693
  • Fox, C. R., & Weber, M. (2002). Ambiguity aversion, comparative ignorance, & decision context. Organizational Behavior and Human Decision Processes, 88, 476–498. doi: 10.1006/obhd.2001.2990
  • Friedman, M. (1953). The methodology of positive economics. In: M. Friedman (Ed.), Essays in positive economics (pp. 3–43). Chicago, IL: University of Chicago Press.
  • Fujii, S., & Kitamura, R. (2000). Anticipated travel time, information acquisition, & actual experience: Hanshin expressway route closure, Osaka-Sakai, Japan. Transportation Research Record, (1725), 79–85. doi: 10.3141/1725-11
  • Gao, S., Frejinger, E., & Ben-Akiva, M. (2010). Adaptive route choices in risky traffic networks: A prospect theory approach. Transportation Research Part C: Emerging Technologies, 18, 727–740. doi: 10.1016/j.trc.2009.08.001
  • Gärling, T., & Axhausen, K. W. (2003). Introduction: Habitual travel choice. Transportation, 30, 1–11. doi: 10.1023/A:1021230223001
  • Gärling, T., & Young, W. (2001). Perspectives on travel behavior: Decision paradigms. In D. Hensher (Ed.), Travel behaviour research: The leading edge. Oxford: Pergamon-Elesevier.
  • Gigerenzer, G., & Selten, R. (2001). The adaptive tool box. In G. Gigerenzer & R. Selten (Eds.), Bounded rationality: The adaptive tool box (pp. 1–12). Cambridge: MIT Press.
  • Hardin, G. (1968). The tragedy of the commons. Science, 162(3859), 1243–1248. doi: 10.1126/science.162.3859.1243
  • Helbing, D. (2004). Dynamic decision behavior and optimal guidance through information services: Models and experiments. In M. Schreckenberg & R. Selten (Eds.), Human behaviour and traffic networks (pp. 47–95). Berlin: Springer.
  • Helbing, D., Schönhof, M., & Kern, D. (2002). Volatile decision dynamics: Experiments, stochastic description, intermittency control and traffic optimization. New Journal of Physics, 4, 33.1–33.16. doi: 10.1088/1367-2630/4/1/333
  • Helbing, D., Schönhof, M., Stark, H., & Hołyst, J. A. (2005). How individuals learn to take turns: Emergence of alternating cooperation in a congestion game and the prisoners dilemma. Advances in Complex Systems, 8, 87–116. doi: 10.1142/S0219525905000361
  • Hertwig, R., Barron, G., Weber, E. U., & Erev, I. (2004). Decisions from experience and the effect of rare events in risky choice. Psychological Science, 15, 534–539. doi: 10.1111/j.0956-7976.2004.00715.x
  • Hess, S., Stathopoulos, A., & Daly, A. (2012). Allowing for heterogeneous decision rules in discrete choice models: An approach and four case studies. Transportation, 39, 565–591. doi: 10.1007/s11116-011-9365-6
  • Hofstede, G. J., & Meijer, S. A. (2008). Collecting empirical data with games. In I. S. Mayer & H. Mastik (Eds.), Organisation and learning through gaming and simulation: Proceedings of ISAGA 2007 (pp. 111–121). Delft: Eduron.
  • Horowitz, J. L. (1984). The stability of stochastic equilibrium in a two-link transportation network. Transportation Research Part B, 18, 13–28. doi: 10.1016/0191-2615(84)90003-1
  • Humphrey, S. J. (2004). Feedback-conditional regret theory and testing regret-aversion in risky choice. Journal of Economic Psychology, 25, 839–857. doi: 10.1016/j.joep.2003.09.004
  • Innocenti, A., Lattarulo, P., & Pazienza, M. G. (2013). Car stickiness: Heuristics and biases in travel choice. Transport Policy, 25, 158–168. doi: 10.1016/j.tranpol.2012.11.004
  • Jariyasunant, J., Abou-Zeid, M., Carrel, A., Ekambaram, V., Gaker, D., Sengupta, R., & Walker, J. L. (2014). Quantified traveler: Travel feedback meets the cloud to change behavior. Journal of Intelligent Transportation Systems. Advance online publication. doi:10.1080/15472450.2013.856714
  • Jylhä, A., Nurmi, P., Sirén, M., Hemminki, S., & Jacucci, G. (2013, September). Matkahupi: A persuasive mobile application for sustainable mobility. Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication, ACM, pp. 227–230.
  • Kahneman, D. (2011). Thinking, fast and slow. New York, NY: Farrar, Straus and Giroux.
  • Kahneman, D., Knetsch, J. L., & Thaler, R. H. (1991). The endowment effect, loss aversion and status quo bias. Journal of Economic Perspectives, 5(1), 193–206. doi: 10.1257/jep.5.1.193
  • Kahneman, D., & Tversky, A. (1979). Prospect theory — an analysis of decision under risk. Econometrica, 47, 263–291. doi: 10.2307/1914185
  • Kahneman, D., & Tversky, A. (1984). Choices values and frames. American Psychologist, 39, 341–350. doi: 10.1037/0003-066X.39.4.341
  • Kaplan, S., & Prato, C. G. (2012). Closing the gap between behavior and models in route choice: The role of spatiotemporal constraints and latent traits in choice set formation. Transportation Research Part F: Traffic Psychology and Behaviour, 15(1), 9–24. doi: 10.1016/j.trf.2011.11.001
  • Katsikopoulos, K. V., Duse-Anthony, Y., Fisher, D. L., & Duffy, S. A. (2002). Risk attitude reversals in drivers’ route choice when range of travel time information is provided. Human Factors, 44(3), 466–473. doi: 10.1518/0018720024497718
  • Kemel, E., & Paraschiv, C. (2013). Prospect theory for joint time and money consequences in risk and ambiguity. Transportation Research Part B: Methodological, 56, 81–95. doi: 10.1016/j.trb.2013.07.007
  • Kim, S.-S. (2011). A model of political information-processing and learning cooperation in the repeated prisoner's dilemma. Journal of Theoretical Politics, 24, 46–65. doi: 10.1177/0951629811411748
  • Larrick, R. P. (1993). Motivational factors in decision theories: The role of self-protection. Psychological Bulletin, 113, 440–445. doi: 10.1037/0033-2909.113.3.440
  • Leontiadis, I., Marfia, G., Mack, D., Pau, G., Mascolo, C., & Gerla, M. (2011). On the effectiveness of an opportunistic traffic management system for vehicular networks. IEEE Transactions on Intelligent Transportation Systems, 12(4), 1537–1548. doi: 10.1109/TITS.2011.2161469
  • Levinson, D. (2003). The value of advanced traveler information systems for route choice. Transportation Research Part C: Emerging Technologies, 11, 75–87. doi: 10.1016/S0968-090X(02)00023-2
  • Li, Z., & Hensher, D. (2011). Prospect theoretic contributions in understanding traveller behaviour: A review and some comments. Transport Reviews, 31, 97–115. doi: 10.1080/01441647.2010.498589
  • Lindsey, R., Daniel, T., Gisches, E., & Rapoport, A. (2014). Pre-trip information and route-choice decisions with stochastic travel conditions: Theory. Transportation Research Part B: Methodological, 67, 187–207. doi: 10.1016/j.trb.2014.05.006
  • Loomes, G., & Sugden, R. (1982). Regret theory: An alternative theory of rational choice under uncertainty. The Economic Journal, 92, 805–824. doi: 10.2307/2232669
  • Lu, X., Gao, S., & Ben-Elia, E. (2011). Information impacts on travelers’ route choice behavior in a congested risky network. Transportation Research Record, (2243), 89–98. doi: 10.3141/2243-11
  • Lu, X., Gao, S., Ben-Elia, E., & Pothering, R. (2014). The effect of real-time information on travelers’ route-choice behaviors. Mathematical Population Studies, 21(4), 205–219. doi: 10.1080/08898480.2013.836418
  • Luce, R. D., & Raiffa, H. (1957). Games and decisions. New York, NY: John Wiley.
  • Mahmassani, H. S., & Jayakrishnan, R. J. (1991). System performance and user response under real time information in a congested traffic corridor. Transportation Research Part A: Policy and Practise, 25(5), 293–307. doi: 10.1016/0191-2607(91)90145-G
  • Mahmassani, H. S., & Liu, Y. H. (1999). Dynamics of commuting decision behaviour under advanced traveller information systems. Transportation Research Part C: Emerging Technologies, 7, 91–107. doi: 10.1016/S0968-090X(99)00014-5
  • McFadden, D. L. (2013). The new science of pleasure (Working Paper No. w18687). Cambridge, MA: National Bureau of Economic Research.
  • Metcalfe, R., & Dolan, P. (2012). Behavioural economics and its implications for transport. Journal of Transport Geography, 24, 503–511. doi: 10.1016/j.jtrangeo.2012.01.019
  • Michael, D., & Chen, S. (2006). Serious games: Games that educate, train and inform. Boston, MA: Thomson Course Technology PTR.
  • Michea, A., & Polak, J. (2006). Modelling risky choice behaviour: Evaluating alternatives to expected utility theory. Paper presented at the 11th International conference on travel behaviour research, Kyoto, Japan.
  • Mokhtarian, P. L. (1990). A typology of relationships between telecommunications and transportation. Transportation Research Part A: Policy and Practice, 24, 231–242. doi: 10.1016/0191-2607(90)90060-J
  • Mokhtarian, P. L. (2009). If telecommunication is such a good substitute for travel, why does congestion continue to get worse? Transportation Letters, 1, 1–17. doi: 10.3328/TL.2009.01.01.1-17
  • Mokhtarian, P. L., & Tal, G. (2013). Impacts of ICT on travel behavior: A tapestry of relationships. In J.-P. Rodrigue, T. Notteboom, & J. Shaw (Eds.), Handbook of transport studies (pp. 241–260). Washington, DC: Sage.
  • Nakayama, S., & Kitamura, R. (2000). Route choice model with inductive learning. Transportation Research Record, (1725), 63–70. doi: 10.3141/1725-09
  • Nakayama, S., Kitamura, R., & Fujii, S. (1999). Drivers learning and network behavior: Dynamic analysis of the driver-network system as a complex system. Transportation Research Record, (1676), 30–36. doi: 10.3141/1676-04
  • Nakayama, S., Kitamura, R., & Fujii, S. (2001). Drivers route choice rules and network behavior: Do drivers become rational and homogeneous through learning. Transportation Research Record, (1752), 62–68. doi: 10.3141/1752-09
  • Olson, M. (1965). The logic of collective action: Public goods and the theory of group. Cambridge: Harvard University Press.
  • Ostrom, E., & Walker, J. (2003). Trust and reciprocity: Interdisciplinary lessons from experimental research. New York, NY: Russell Sage Foundation.
  • Post, T., Van den Assem, M. J., Baltussen, G., & Thaler, R. H. (2008). Deal or no deal? Decision making under risk in a large-payoff game show. American Economic Review, 98, 38–71. doi: 10.1257/aer.98.1.38
  • Prashker, J., & Bekhor, S. (2004). Route-choice models used in the stochastic user equilibrium problem: A review. Transport Reviews, 24, 437–463. doi: 10.1080/0144164042000181707
  • Quiggin, J. (1994). Regret theory with general choice sets. Journal of Risk and Uncertainty, 8, 153–165. doi: 10.1007/BF01065370
  • Ramos, G. M., Daamen, W., & Hoogendoorn, S. (2013). Modelling travellers’ heterogeneous route choice behaviour as prospect maximizers. Journal of Choice Modelling, 6, 17–33. doi: 10.1016/j.jocm.2013.04.002
  • Ramos, G. M., Daamen, W., & Hoogendoorn, S. (2014). A state-of-the-art review: Developments in utility theory, prospect theory and regret theory to investigate travellers’ behaviour in situations involving travel time uncertainty. Transport Reviews, 34, 46–67. doi: 10.1080/01441647.2013.856356
  • Rapoport, A., Gisches, E., Daniel, T., & Lindsey, R. (2014). Pre-trip information and route-choice decisions with stochastic travel conditions: Experiment. Transportation Research Part B, 68, 154–172. doi: 10.1016/j.trb.2014.06.007
  • Rapoport, A., Kuglar, T., Dugar, S., & Gisches, E. J. (2009). Choice of routes in congested traffic networks: Experimental tests of the Braess’ paradox. Games and Economic Behavior, 65, 538–571. doi: 10.1016/j.geb.2008.02.007
  • Razo, M., & Gao, S. (2013). A rank-dependent expected utility model for strategic route choice with stated preference data. Transportation Research Part C: Emerging Technologies, 27, 117–130. doi: 10.1016/j.trc.2011.08.009
  • Rose, J. M., & Masiero, L. (2010). A comparison of the impacts of aspects of prospect theory on WTP/WTA estimated in preference and WTP/WTA space. European Journal of Transport and Infrastructure Research, 10, 330–346.
  • Rossetti, R. J., Almeida, J. E., Kokkinogenis, Z., & Gonçalves, J. (2013). Playing transportation seriously: Applications of serious games to artificial transportation systems. IEEE Intelligent Systems, 28(4), 107–112. doi: 10.1109/MIS.2013.113
  • Salomon, I. (1986). Telecommunications and travel relationships: A review. Transportation Research Part A: Policy and Practice, 20, 223–238. doi: 10.1016/0191-2607(86)90096-8
  • Schaffers, H., Komninos, N., Pallot, M., Trousse, B., Nilsson, M., & Oliveira, A. (2011). Smart cities and the future of internet: Towards cooperation frameworks for open innovation. In J. Domingue, A. Galis, A. Gavras, T. Zahariadis, D. Lambert, F. Cleary, … M. Nilsson (Eds.), Future Internet: Achievements and promises ( LNCS 6656, pp. 431–446). Heidelberg: Springer.
  • Schrammel, J., Busch, M., & Tscheligi, M. (2012). Peacox — persuasive advisor for CO2-reducing cross-modal trip planning. First international workshop on behavior change support systems, BCSS 2013. Retrieved from http://ceur-ws.org/Vol-973/bcss0.pdf
  • Schwanen, T. (2008). Struggling with time: Investigating coupling constraints. Transport Reviews, 28, 337–356. doi: 10.1080/01441640701642363
  • Schwanen, T., & Ettema, D. (2009). Coping with unreliable transportation when collecting children: Examining parents’ behavior with cumulative prospect theory. Transportation Research Part A: Policy and Practice, 43(5), 511–525.
  • Schwartz, S. H. (1977). Normative influences on altruism. In L. Berkowitz (Ed.), Advances in experimental social psychology (Vol. 10, pp. 221–279). San Diego, CA: Academic Press.
  • Schwartz, S. H., & Howard, J. A. (1981). A normative decision-making model of altruism. In J. P. Rushton & R. M. Sorrentino (Eds.), Altruism and helping behavior (pp. 189–211). Hillsdale, NJ: Lawrence Erlbaum.
  • Selten, R., Chmura, T., Pit, T., Kube, S., & Schreckenberg, M. (2007). Commuters route choice behavior. Games and Economic Behavior, 58, 394–406. doi: 10.1016/j.geb.2006.03.012
  • Simon, H. A. (1955). A behavioral model of rational choice. Quarterly Journal of Economics, 69, 99–118. doi: 10.2307/1884852
  • Simon, H. A. (1982). Models of bounded rationality. Cambridge: MIT Press.
  • Slovic, P., Finucane, M. L., Peters, E., & MacGregor, D. G. (2007). The affect heuristic. European Journal of Operational Research, 177, 1333–1352. doi: 10.1016/j.ejor.2005.04.006
  • Steg, L. (2005). Car use: Lust and must. Instrumental, symbolic and affective motives for car use. Transportation Research Part A: Policy and Practice, 39, 147–162.
  • Sunitiyoso, Y., Avineri, E., & Chatterjee, K. (2011). The effect of social interactions on travel behaviour: An exploratory study using a laboratory experiment. Transportation Research Part A: Policy and Practice, 45, 332–344.
  • Thaler, R. H., & Sunstein, C. R. (2008). Nudge: Improving decisions about health, wealth, & happiness. New Haven: Yale University Press.
  • Thorndike, E. L. (1898). Animal intelligence: An experimental study of the associative processes in animals. Psychological Monographs, 2(4), i-109. doi: 10.1037/h0092987
  • Tian, L.-J., Huang, H.-J., & Gao, Z.-Y. (2012). A cumulative perceived value-based dynamic user equilibrium model considering the travelers’ risk evaluation on arrival time. Networks and Spatial Economics, 12, 589–608. doi: 10.1007/s11067-011-9168-5
  • Timmermans, H. (2010). On the (ir)relevance of prospect theory in modelling uncertainty in travel decisions. European Journal of Transport and Infrastructure Research, 10(4), 368–384.
  • Train, K. (2002). Discrete choice methods with simulation. Cambridge, MA: Cambridge University Press.
  • Triandis, H. C. (1977). Interpersonal behavior. Monterey, CA: Brooks/Cole.
  • Triandis, H. C. (1980). Values, attitudes, & interpersonal behavior. In H. E. Howe & M. M. Page (Eds.), Nebraska symposium on motivation 1979 (pp. 195–259). Lincoln: University of Nebraska Press.
  • Tversky, A., & Kahneman, D. (1974). Judgment under uncertainty: Heuristics and biases. Science, 185(4157), 1124–1131. doi: 10.1126/science.185.4157.1124
  • Tversky, A., & Kahneman, D. (1992). Advances in prospect theory — cumulative representation of uncertainty. Journal of Risk and Uncertainty, 5, 297–323. doi: 10.1007/BF00122574
  • Van de Kaa, E. J. (2010a). Applicability of an extended prospect theory to travel behaviour research: A meta-analysis. Transport Reviews, 30, 771–804. doi: 10.1080/01441647.2010.486907
  • Van de Kaa, E. J. (2010b). Prospect theory and choice behaviour strategies: Review and synthesis of concepts from social and transport sciences. European Journal of Transport and Infrastructure Research, 10, 299–329.
  • Von-Neumann, J., & Morgenstern, O. (1944). Theory of games and economic behavior. Princeton, NJ: Princeton University Press.
  • Wardrop, J. G. (1952). Some theoretical aspects of road traffic research. Proceedings of Institute of Civil Engineers, Part II, 1, 325–378.
  • Zeelenberg, M., Beattie, J., Van der Pligt, J., & De Vries, N. K. (1996). Consequences of regret aversion: Effects of expected feedback on risky decision making. Organizational Behavior and Human Decision Processes, 65, 148–158. doi: 10.1006/obhd.1996.0013
  • Zichermann, G., & Cunningham, C. (2011). Gamification by design: Implementing game mechanics in web and mobile apps. Sebastopol, CA: O'Reilly Media.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.