Response to Travel Information: A Behavioural Review

Abstract Innovation in information and communication technologies (ICTs) is providing us with a myriad of travel information sources. Knowledge on the influence of information on human travel behaviour (mainly route and mode choice) and their implications on network levels of service remains fragmented. We distinguish between experiential, descriptive, and prescriptive information sources. We draw on recently developed theoretical concepts in behavioural and cognitive sciences to examine the state of the knowledge on information and travel behaviour. Key theoretical concepts used to explore the relationship between information and travel behaviour include: reinforced learning; framing; risk and loss aversion; probability weighting; affect; anchoring and ambiguity aversion; and regret aversion. We review studies focusing on individual travel behaviour as well as network studies involving collective behaviours. While information seems to assist individual travellers in coping with uncertainty, the impacts relating to collective behaviour on networks remain unclear. Many open questions remain, yet research provides important insights and suggests that ICTs will enable the design of persuasive information systems that motivate cooperative and efficient use of the transportation network beyond what is possible today.

[1]  Moshe Ben-Akiva,et al.  Adaptive route choices in risky traffic networks: A prospect theory approach , 2010 .

[2]  T. Schwanen Struggling with Time: Investigating Coupling Constraints , 2008 .

[3]  Richard P. Larrick,et al.  Motivational factors in decision theories : the role of self-protection , 1993 .

[4]  Glenn Lyons,et al.  Explaining public transport information use when a car is available: attitude theory empirically investigated , 2010 .

[5]  R. Thaler,et al.  Deal or No Deal? Decision Making under Risk in a Large-Payoff Game Show , 2008 .

[6]  J. March,et al.  Adaptation as Information Restriction: The Hot Stove Effect , 2001 .

[7]  Eran Ben-Elia,et al.  Understanding behavioural change: An international perspective on sustainable travel behaviours and their motivations: Selected papers from the Travel Behaviour Track in the Demand Topic Area of the 12th World Conference on Transport Research , 2013 .

[8]  E. J. V. D. Kaa Prospect Theory and Choice Behaviour Strategies: Review and Synthesis of Concepts from Social and Transport sciences , 2010, European Journal of Transport and Infrastructure Research.

[9]  Sidney C. Sufrin,et al.  The Logic of Collective Action: Public Goods and the Theory of Groups. , 1966 .

[10]  Hjp Harry Timmermans,et al.  Information gain, novelty seeking and travel: a model of dynamic activity-travel behavior under conditions of uncertainty , 2005 .

[11]  M. Olson,et al.  The Logic of Collective Action: Public Goods and the Theory of Groups , 1969 .

[12]  J. G. Wardrop,et al.  Some Theoretical Aspects of Road Traffic Research , 1952 .

[13]  D. Hensher,et al.  Prospect Theoretic Contributions in Understanding Traveller Behaviour: A Review and Some Comments , 2011 .

[14]  Eyran J. Gisches,et al.  Pre-trip Information and Route-Choice Decisions with Stochastic Travel Conditions : Experiment , 2014 .

[15]  E. Avineri On the use and potential of behavioural economics from the perspective of transport and climate change , 2012 .

[16]  Erel Avineri,et al.  Sensitivity to Uncertainty: Need for a Paradigm Shift , 2003 .

[17]  Carlos F. Daganzo,et al.  On Stochastic Models of Traffic Assignment , 1977 .

[18]  A. Tversky,et al.  Choices, Values, and Frames , 2000 .

[19]  G. Kalyanaram,et al.  Nudge: Improving Decisions about Health, Wealth, and Happiness , 2011 .

[20]  Dirk Helbing,et al.  Dynamic Decision Behavior and Optimal Guidance Through Information Services: Models and Experiments , 2007 .

[21]  Paul Slovic,et al.  The affect heuristic , 2007, Eur. J. Oper. Res..

[22]  Uskali Mäki The Methodology of Positive Economics , 2009 .

[23]  D. McFadden,et al.  The New Science of Pleasure , 2013 .

[24]  R. Hertwig,et al.  Decisions from Experience and the Effect of Rare Events in Risky Choice , 2004, Psychological science.

[25]  Peter Bonsall,et al.  Traveller Behavior: Decision-Making in an Unpredictable World , 2004, J. Intell. Transp. Syst..

[26]  Moshe Ben-Akiva,et al.  Dynamic network models and driver information systems , 1991 .

[27]  Hjp Harry Timmermans,et al.  Costs of Travel Time Uncertainty and Benefits of Travel Time Information: Conceptual Model and Numerical Examples , 2006 .

[28]  Emmanuel Kemel,et al.  Prospect Theory for joint time and money consequences in risk and ambiguity , 2013 .

[29]  Hani S. Mahmassani,et al.  System performance and user response under real-time information in a congested traffic corridor , 1991 .

[30]  Ziyou Gao,et al.  A Cumulative Perceived Value-Based Dynamic User Equilibrium Model Considering the Travelers’ Risk Evaluation on Arrival Time , 2012 .

[31]  André de Palma,et al.  Route choice decision under travel time uncertainty , 2005 .

[32]  Giovanni Pau,et al.  On the Effectiveness of an Opportunistic Traffic Management System for Vehicular Networks , 2011, IEEE Transactions on Intelligent Transportation Systems.

[33]  Caspar G. Chorus Risk aversion, regret aversion and travel choice inertia: an experimental study , 2014 .

[34]  David R. Michael,et al.  Serious Games: Games That Educate, Train, and Inform , 2005 .

[35]  Roberta Di Pace,et al.  The impact of travel information's accuracy on route-choice , 2013 .

[36]  Andrew Daly,et al.  Allowing for heterogeneous decision rules in discrete choice models: an approach and four case studies , 2011 .

[37]  J. Horowitz The stability of stochastic equilibrium in a two-link transportation network , 1984 .

[38]  Erel Avineri,et al.  Sensitivity to travel time variability: Travelers learning perspective , 2005 .

[39]  T. Koopmans,et al.  Studies in the Economics of Transportation. , 1956 .

[40]  Erel Avineri,et al.  Applying valence framing to enhance the effect of information on transport-related carbon dioxide emissions , 2013 .

[41]  Moshe Ben-Akiva,et al.  Sampling of alternatives in Multivariate Extreme Value (MEV) models , 2013 .

[42]  Steven J. Humphrey Feedback-conditional regret theory and testing regret-aversion in risky choice , 2004 .

[43]  Amnon Rapoport,et al.  Pre-trip Information and Route-Choice Decisions with Stochastic Travel Conditions: Experiment , 2014 .

[44]  S. Schwartz,et al.  A Normative Decision Making Model of Altruism , 1981 .

[45]  J. Neumann,et al.  Theory of games and economic behavior , 1945, 100 Years of Math Milestones.

[46]  Eran Ben-Elia,et al.  The Effect of Real-Time Information on Travelers’ Route Choice Behaviors , 2015 .

[47]  Eran Ben-Elia,et al.  “If only I had taken the other road...”: Regret, risk and reinforced learning in informed route-choice , 2013 .

[48]  Kay W. Axhausen,et al.  Effects of information in road transport networks with recurrent congestion , 1995 .

[49]  E. Molin,et al.  Use and Effects of Advanced Traveller Information Services (ATIS): A Review of the Literature , 2006 .

[50]  Moshe Ben-Akiva,et al.  Discrete Choice Analysis: Theory and Application to Travel Demand , 1985 .

[51]  Agachai Sumalee,et al.  A network equilibrium model with travellers’ perception of stochastic travel times , 2009 .

[52]  Linda Steg,et al.  Car use: lust and must. Instrumental, symbolic and affective motives for car use , 2005 .

[53]  Peter Nijkamp,et al.  Information policy in road transport with elastic demand: Some welfare economic considerations , 1998 .

[54]  Eran Ben-Elia,et al.  Information Impacts on Route Choice and Learning Behavior in a Congested Network , 2011 .

[55]  D. Kahneman,et al.  Anomalies: The Endowment Effect, Loss Aversion, and Status Quo Bias , 1991 .

[56]  Tommy Gärling,et al.  Satisfaction with travel and subjective well-being: Development and test of a measurement tool , 2011 .

[57]  David M Levinson,et al.  The Value of Advanced Traveler Information Systems for Route Choice , 2003 .

[58]  I. Ajzen The theory of planned behavior , 1991 .

[59]  Eran Ben-Elia,et al.  Which road do I take? A learning-based model of route-choice behavior with real-time information , 2010 .

[60]  Caspar G. Chorus,et al.  Responses to Transit Information among Car-drivers: Regret-based Models and Simulations , 2006 .

[61]  Mohamed Abdel-Aty,et al.  USING STATED PREFERENCE DATA FOR STUDYING THE EFFECT OF ADVANCED TRAFFIC INFORMATION ON DRIVERS' ROUTE CHOICE , 1997 .

[62]  T. Arentze,et al.  Traveler Compliance with Advice: A Bayesian Utilitarian Perspective , 2009 .

[63]  I. Erev,et al.  On adaptation, maximization, and reinforcement learning among cognitive strategies. , 2005, Psychological review.

[64]  Carlos F. Daganzo,et al.  Stochastic network equilibrium with multiple vehicle types and asymmetric , 1983 .

[65]  N. McGlynn Thinking fast and slow. , 2014, Australian veterinary journal.

[66]  A. Tversky,et al.  Prospect theory: analysis of decision under risk , 1979 .

[67]  Ryuichi Kitamura,et al.  Route Choice Model with Inductive Learning , 2000 .

[68]  Sakda Panwai,et al.  Evaluation of discrete choice and neural network approaches for modelling driver compliance with traffic information , 2009 .

[69]  Rosaldo J. F. Rossetti,et al.  Playing Transportation Seriously: Applications of Serious Games to Artificial Transportation Systems , 2013, IEEE Intelligent Systems.

[70]  Christopher Cunningham,et al.  Gamification by Design - Implementing Game Mechanics in Web and Mobile Apps , 2011 .

[71]  Yos Sunitiyoso,et al.  The effect of social interactions on travel behaviour: An exploratory study using a laboratory experiment , 2011 .

[72]  Adrian R. Camilleri,et al.  When and why rare events are underweighted: A direct comparison of the sampling, partial feedback, full feedback and description choice paradigms , 2011, Psychonomic bulletin & review.

[73]  L. Steg CAR USE: LUST AND MUST , 2001 .

[74]  J. Prashker,et al.  Violations of Expected Utility Theory in Route-Choice Stated Preferences: Certainty Effect and Inflation of Small Probabilities , 2004 .

[75]  H C Triandis,et al.  Values, attitudes, and interpersonal behavior. , 1980, Nebraska Symposium on Motivation. Nebraska Symposium on Motivation.

[76]  R. Sugden,et al.  Regret Theory: An alternative theory of rational choice under uncertainty Review of Economic Studies , 1982 .

[77]  A. Tversky,et al.  Judgment under Uncertainty: Heuristics and Biases , 1974, Science.

[78]  T. Arentze,et al.  A Random Regret-Minimization model of travel choice , 2008 .

[79]  André de Palma,et al.  Does providing information to drivers reduce traffic congestion , 1991 .

[80]  E. Rowland Theory of Games and Economic Behavior , 1946, Nature.

[81]  Jerker Denrell Adaptive learning and risk taking. , 2007, Psychological review.

[82]  Moshe Ben-Akiva,et al.  A joint model of travel information acquisition and response to received messages , 2013 .

[83]  I. Erev,et al.  Small feedback‐based decisions and their limited correspondence to description‐based decisions , 2003 .

[84]  S. Bekhor,et al.  Route Choice Models Used in the Stochastic User Equilibrium Problem: A Review , 2004 .

[85]  S. Hoogendoorn,et al.  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 , 2014 .

[86]  H. Timmermans On the (Ir)relevance of Prospect Theory in Modelling Uncertainty in Travel Decisions , 2010 .

[87]  John Quiggin,et al.  Regret theory with general choice sets , 1994 .

[88]  Hani S. Mahmassani,et al.  DYNAMICS OF COMMUTING DECISION BEHAVIOR UNDER ADVANCED TRAVELER INFORMATION SYSTEMS , 1999 .

[89]  Erel Avineri,et al.  Incorporating fuzzy reference points into applications of travel choice modeling , 2009 .

[90]  J. Wardrop ROAD PAPER. SOME THEORETICAL ASPECTS OF ROAD TRAFFIC RESEARCH. , 1952 .

[91]  Ilan Salomon,et al.  Telecommunications and travel relationships: a review , 1986 .

[92]  S. Hoogendoorn,et al.  Modelling travellers' heterogeneous route choice behaviour as prospect maximizers , 2013 .

[93]  B. Newell Judgment Under Uncertainty , 2013 .

[94]  John M. Rose,et al.  A comparison of the impacts of aspects of prospect theory on WTP/WTA estimated in preference and WTP/WTA space , 2010 .

[95]  E. Cascetta,et al.  A DAY-TO-DAY AND WITHIN-DAY DYNAMIC STOCHASTIC ASSIGNMENT MODEL , 1991 .

[96]  Song Gao,et al.  Information Impacts on Travelers’ Route Choice Behavior in a Congested Risky Network , 2012 .

[97]  Sebastiaan Meijer,et al.  Collecting empirical data with games , 2007 .

[98]  Carlo Giacomo Prato,et al.  Closing the gap between behavior and models in route choice: The role of spatiotemporal constraints and latent traits in choice set formation , 2012 .

[99]  E. Thorndike “Animal Intelligence” , 1898, Nature.

[100]  Florian Heiss,et al.  Discrete Choice Methods with Simulation , 2016 .

[101]  Thomas Pitz,et al.  Commuters route choice behaviour , 2007, Games Econ. Behav..

[102]  Marc Busch,et al.  Peacox - Persuasive Advisor for CO2-Reducing Cross-Modal Trip Planning , 2013, PERSUASIVE.

[103]  Donald L. Fisher,et al.  Risk Attitude Reversals in Drivers' Route Choice When Range of Travel Time Information Is Provided , 2002, Hum. Factors.

[104]  C. Chorus Regret theory-based route choices and traffic equilibria , 2012 .

[105]  A. Tversky,et al.  Advances in prospect theory: Cumulative representation of uncertainty , 1992 .

[106]  Ta Theo Arentze,et al.  Modeling learning and adaptation processes in activity-travel choice A framework and numerical experiment , 2003 .

[107]  G. Hardin,et al.  The Tragedy of the Commons , 1968, Green Planet Blues.

[108]  D. Ettema,et al.  Rewarding rush-hour avoidance: A study of commuters' travel behavior. , 2011 .

[109]  K. Axhausen,et al.  Introduction: Habitual travel choice , 2003 .

[110]  David Banks,et al.  Games and Decisions , 2015 .

[111]  Thomas Pitz,et al.  Experiments and Simulations on Day-to-Day Route Choice-Behaviour , 2003, SSRN Electronic Journal.

[112]  Patrizia Lattarulo,et al.  Car stickiness: Heuristics and biases in travel choice , 2013 .

[113]  Satoshi Fujii,et al.  Drivers’ Route Choice Rules and Network Behavior: Do Drivers Become Rational and Homogeneous Through Learning? , 2001 .

[114]  Dirk Helbing,et al.  How Individuals Learn to Take Turns: Emergence of Alternating Cooperation in a Congestion Game and the Prisoner's Dilemma , 2005, Adv. Complex Syst..

[115]  S. Schwartz Normative Influences on Altruism , 1977 .

[116]  Erel Avineri,et al.  The Effect of Reference Point on Stochastic Network Equilibrium , 2006, Transp. Sci..

[117]  D. Bernoulli Exposition of a New Theory on the Measurement of Risk , 1954 .

[118]  Joseph N. Prashker,et al.  The Impact of Travel Time Information on Travelers’ Learning under Uncertainty , 2006 .

[119]  R. Thaler,et al.  Nudge: Improving Decisions About Health, Wealth, and Happiness , 2008 .

[120]  Michel Bierlaire,et al.  Modeling Learning in Route Choice , 2007 .

[121]  E. Yechiam,et al.  Loss aversion, diminishing sensitivity, and the effect of experience on repeated decisions† , 2008 .

[122]  Amnon Rapoport,et al.  Choice of Routes in Congested Traffic Networks: Experimental Tests of the Braess Paradox , 2005, Games Econ. Behav..

[123]  Antti Jylhä,et al.  MatkaHupi: a persuasive mobile application for sustainable mobility , 2013, UbiComp.

[124]  M. Ben-Akiva,et al.  Information Impacts on Traveler Behavior and Network Performance: State of Knowledge and Future Directions , 2013 .

[125]  M. Friedman,et al.  The Methodology of Positive Economics , 2010 .

[126]  Caspar G. Chorus,et al.  Acquisition of Ex-Post Travel Information: A Matter of Balancing Regrets , 2014, Transp. Sci..

[127]  David A. Hensher,et al.  Travel behaviour research : the leading edge , 2001 .

[128]  Patricia L. Mokhtarian,et al.  A Typology of Relationships Between Telecommunications and Transportation , 1990 .

[129]  B. J. Fogg,et al.  Persuasive technology: using computers to change what we think and do , 2002, UBIQ.

[130]  Jerald Jariyasunant,et al.  Quantified Traveler: Travel Feedback Meets the Cloud to Change Behavior , 2013, J. Intell. Transp. Syst..

[131]  A. Tversky,et al.  Prospect theory: an analysis of decision under risk — Source link , 2007 .

[132]  Song Gao,et al.  Travelers' Day-to-Day Route Choice Behavior with Real-Time Information in a Congested Risky Network , 2014 .

[133]  Kiron Chatterjee,et al.  Online information-sharing: a qualitative analysis of community, trust and social influence amongst commuter cyclists in the UK , 2013 .

[134]  Satoshi Fujii,et al.  Anticipated Travel Time, Information Acquisition, and Actual Experience: Hanshin Expressway Route Closure, Osaka-Sakai, Japan , 2000 .

[135]  Sung-youn Kim,et al.  A model of political information-processing and learning cooperation in the repeated Prisoner’s Dilemma , 2012 .

[136]  H. Simon,et al.  A Behavioral Model of Rational Choice , 1955 .

[137]  Hans Schaffers,et al.  Smart Cities and the Future Internet: Towards Cooperation Frameworks for Open Innovation , 2011, Future Internet Assembly.

[138]  Gil Tal,et al.  Impacts of Ict on Travel Behavior: A Tapestry of Relationships , 2013 .

[139]  Nick Chater,et al.  Fast, frugal, and rational: How rational norms explain behavior , 2003 .

[140]  Shlomo Zilberstein,et al.  Models of Bounded Rationality , 1995 .

[141]  Dirk Helbing,et al.  Experiments, Stochastic Description, Intermittency Control, and Traffic Optimization , 2002 .

[142]  C. Fisk Some developments in equilibrium traffic assignment , 1980 .

[143]  E. Ostrom,et al.  Trust and reciprocity : interdisciplinary lessons from experimental research , 2003 .

[144]  Kay W. Axhausen,et al.  The potential of information provision in a simulated road transport network with non-recurrent congestion , 1995 .

[145]  D. Ellsberg Decision, probability, and utility: Risk, ambiguity, and the Savage axioms , 1961 .

[146]  Daniel Kahneman,et al.  Anomalies: The Endowment Effect, Loss Aversion, and Status Quo Bias , 1991 .

[147]  G. Lyons,et al.  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 , 2012 .

[148]  André de Palma,et al.  INFORMATION AND USAGE OF FREE-ACCESS CONGESTIBLE FACILITIES WITH STOCHASTIC CAPACITY AND DEMAND* , 1993 .

[149]  Song Gao,et al.  A rank-dependent expected utility model for strategic route choice with stated preference data , 2013 .

[150]  Patricia L. Mokhtarian,et al.  If telecommunication is such a good substitute for travel, why does congestion continue to get worse? , 2009 .

[151]  André de Palma,et al.  Information and Time-of-Usage Decisions in the Bottleneck Model with Stochastic Capacity and Demand , 1999 .

[152]  M. Zeelenberg,et al.  Consequences of Regret Aversion: Effects of Expected Feedback on Risky Decision Making , 1996 .

[153]  Craig R. Fox,et al.  Ambiguity Aversion, Comparative Ignorance, and Decision Context , 2002 .

[154]  Eran Ben-Elia,et al.  The combined effect of information and experience on drivers’ route-choice behavior , 2008 .

[155]  Craig R. Fox,et al.  Ambiguity Aversion and Comparative Ignorance , 1995 .

[156]  Satoshi Fujii,et al.  Drivers’ Learning and Network Behavior: Dynamic Analysis of the Driver-Network System as a Complex System , 1999 .

[157]  Piet H. L. Bovy,et al.  Identification of Parameters for a Prospect Theory Model for Travel Choice Analysis , 2008 .

[158]  P. Dolan,et al.  Behavioural economics and its implications for transport , 2012 .

[159]  E. J. V. D. Kaa Applicability of an Extended Prospect Theory to Travel Behaviour Research: A Meta‐Analysis , 2010 .

[160]  D. Ettema,et al.  Coping with Unreliable Transportation When Collecting Children: Examining Parents’ Behavior with Cumulative Prospect Theory , 2009 .