A cumulative prospect theory approach to commuters’ day-to-day route-choice modeling with friends’ travel information

[1]  Satish V. Ukkusuri,et al.  Experimental Economics and choice in transportation: Incentives and context☆ , 2017 .

[2]  Ning Jia,et al.  Day-to-day traffic dynamics considering social interaction: From individual route choice behavior to a network flow model , 2016 .

[3]  Giulio Erberto Cantarella,et al.  Advanced traveller information systems under recurrent traffic conditions: Network equilibrium and stability , 2016 .

[4]  Hong Kam Lo,et al.  Day-to-day departure time modeling under social network influence , 2016 .

[5]  Shoichiro Nakayama,et al.  Effect of providing traffic information estimated by a stochastic network equilibrium model with stochastic demand , 2016 .

[6]  Yan Xu,et al.  Bounding the inefficiency of the C-logit stochastic user equilibrium assignment , 2016, J. Syst. Sci. Complex..

[7]  Harry Timmermans,et al.  Optimization of airport bus timetable in cultivation period considering passenger dynamic airport choice under conditions of uncertainty , 2016 .

[8]  Yu Liu,et al.  The promises of big data and small data for travel behavior (aka human mobility) analysis , 2016, Transportation research. Part C, Emerging technologies.

[9]  Lei Zhang,et al.  Agent-based en-route diversion: Dynamic behavioral responses and network performance represented by Macroscopic Fundamental Diagrams , 2016 .

[10]  Hai Yang,et al.  Modeling route choice inertia in network equilibrium with heterogeneous prevailing choice sets , 2015 .

[11]  C. Cirillo,et al.  Generalized behavioral framework for choice models of social influence: Behavioral and data concerns in travel behavior , 2015 .

[12]  Eran Ben-Elia,et al.  Response to Travel Information: A Behavioural Review , 2015 .

[13]  Stephen J. Wright.  Coordinate descent algorithms , 2015, Mathematical Programming.

[14]  Jufen Yang,et al.  Development of an enhanced route choice model based on cumulative prospect theory , 2014 .

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

[16]  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 .

[17]  William H. K. Lam,et al.  Modelling road users’ behavioural change over time in stochastic road networks with guidance information , 2014 .

[18]  Tian-Liang Liu,et al.  Effects of Friends' Information Interaction on Travel Decisions , 2013 .

[19]  Ning Jia,et al.  A combined framework for modeling the evolution of traveler route choice under risk , 2013 .

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

[21]  Sean J. Taylor,et al.  Social Influence Bias: A Randomized Experiment , 2013, Science.

[22]  Erik T. Verhoef,et al.  A revealed-preference study of behavioural impacts of real-time traffic information , 2013 .

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

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

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

[26]  Shiquan Zhong,et al.  Effects of different factors on drivers’ guidance compliance behaviors under road condition information shown on VMS , 2012 .

[27]  Anthony Chen,et al.  C-logit stochastic user equilibrium model: formulations and solution algorithm , 2012 .

[28]  Hai Yang,et al.  Inefficiency of Logit-Based Stochastic User Equilibrium in a Traffic Network Under ATIS , 2011 .

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

[30]  Davy Janssens,et al.  The effects of social networks on choice set dynamics: Results of numerical simulations using an agent-based approach , 2011 .

[31]  Jing Zhou,et al.  A decision-making rule for modeling travelers' route choice behavior based on cumulative prospect theory , 2011 .

[32]  Yafeng Yin,et al.  A prospect-based user equilibrium model with endogenous reference points and its application in congestion pricing , 2011 .

[33]  K. Laland,et al.  Cognitive culture: theoretical and empirical insights into social learning strategies , 2011, Trends in Cognitive Sciences.

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

[35]  Haijun Huang,et al.  A new model for studying the SO-based pre-trip information release strategy and route choice behaviour , 2010 .

[36]  Damon Centola,et al.  Supporting Online Material Materials and Methods Figs. S1 to S9 Tables S1 and S2 References the Spread of Behavior in an Online Social Network Experiment , 2022 .

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

[38]  David Gaker,et al.  Experimental Economics in Transportation , 2010 .

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

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

[41]  Mark Lubell,et al.  Beyond existence and aiming outside the laboratory: estimating frequency-dependent and pay-off-biased social learning strategies , 2008, Philosophical Transactions of the Royal Society B: Biological Sciences.

[42]  Stephane Hess,et al.  Treatment of reference alternatives in stated choice surveys for air travel choice behaviour , 2008 .

[43]  Chih-Cheng Chen,et al.  Dynamic commuter departure time choice under uncertainty , 2008 .

[44]  Hai Yang,et al.  Modeling the Evolutions of Day-to-Day Route Choice and Year-to-Year ATIS Adoption with Stochastic User Equilibrium , 2008 .

[45]  G. Plimmer,et al.  Managing Employee Performance and Reward: Concepts, Practices, Strategies , 2007 .

[46]  Hai-Jun Huang,et al.  A multiclass, multicriteria logit-based traffic equilibrium assignment model under ATIS , 2007, Eur. J. Oper. Res..

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

[48]  S. Fujii,et al.  Drivers' Mental Representation of Travel Time and Departure Time Choice in Uncertain Traffic Network Conditions , 2004 .

[49]  Hai Yang,et al.  Modeling User Adoption of Advanced Traveler Information Systems: a Control Theoretic Approach for Optimal Endogenous Growth , 2004 .

[50]  K. Laland.  Social learning strategies , 2004, Learning & behavior.

[51]  R. Sugden,et al.  On the theory of reference-dependent preferences , 2003 .

[52]  Yafeng Yin,et al.  Simultaneous Determination of the Equilibrium Market Penetration and Compliance Rate of Advanced Traveler Information Systems , 2003 .

[53]  Hai Yang,et al.  Modeling user adoption of advanced traveler information systems: dynamic evolution and stationary equilibrium , 2001 .

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

[55]  Richard Gonzalez,et al.  Curvature of the Probability Weighting Function , 1996 .

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

[57]  A Bandura,et al.  Social learning theory of aggression. , 1978, The Journal of communication.

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

[59]  Yasuo Asakura,et al.  Dynamics of information generation and transmissions through a social network in non-recurrent transport behaviour , 2011 .

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

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

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