Competition and coordination in public transport: A mode choice experiment

Adler, 2001, Investigating the learning effects of route guidance and traffic advisories on route choice behavior, Transp. Res. C, 9, 1, 10.1016/S0968-090X(00)00002-4 Arnott, 1994, The economics of traffic congestion, Am. Sci., 82, 446 Avineri, 2006, The impact of travel time information on travelers’ learning under uncertainty, Transportation, 33, 393, 10.1007/s11116-005-5710-y Avrahami, 2013, Learning (not) to yield: An experimental study of evolving ultimatum game behavior, J. Soc.-Econ., 47, 47, 10.1016/j.socec.2013.08.009 Ben-Elia, 2013, The impact of travel information’s accuracy on route-choice, Transp. Res. C, 26, 146, 10.1016/j.trc.2012.07.001 Ben-Elia, 2008, The combined effect of information and experience on drivers’ route-choice behavior, Transportation, 35, 165, 10.1007/s11116-007-9143-7 Ben-Elia, 2010, Which road do I take? A learning-based model of route-choice behavior with real-time information, Transp. Res. A, 44, 249 Camerer, 1999, Experience-weighted attraction learning in normal form games, Econometrica, 67, 827, 10.1111/1468-0262.00054 Chen, 1999, Effect of information quality on compliance behavior of commuters under real-time traffic information, Transp. Res. Rec., 1676, 53, 10.3141/1676-07 Chidambaram, 2014, Commuters’ mode choice as a coordination problem: A framed field experiment on traffic policy in Hyderabad, India, Transp. Res. A, 65, 9 Cooper, 2011, The dynamics of responder behavior in ultimatum games: a meta-study, Exp. Econ., 14, 519, 10.1007/s10683-011-9280-x Daniel, 2009, Departure times in Y-shaped traffic networks with multiple bottlenecks, Amer. Econ. Rev., 99, 2149, 10.1257/aer.99.5.2149 Dixit, 2014, Is equilibrium in transport pure nash, mixed or stochastic?, Transp. Res. C, 48, 301, 10.1016/j.trc.2014.09.002 Dixit, 2017, Experimental economics and choice in transportation: Incentives and context, Transp. Res. C, 77, 161, 10.1016/j.trc.2017.01.011 Downs, 1962, The law of peak-hour expressway congestion, Traffic Q., 16 Ellison, 1993, Learning, local interaction, and coordination, Econometrica, 1047, 10.2307/2951493 Fagnant, 2015, Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations, Transp. Res. A, 77, 167 Fehr, 1999, A theory of fairness, competition, and cooperation, Q. J. Econ., 114, 817, 10.1162/003355399556151 Güth, 1982, An experimental analysis of ultimatum bargaining, J. Econ. Behav. Organ., 3, 367, 10.1016/0167-2681(82)90011-7 Han, 2017, Emergence of communities and diversity in social networks, Proc. Natl. Acad. Sci., 114, 2887, 10.1073/pnas.1608164114 Han, 2008, Route choice under uncertainty: effects of recommendations, Transp. Res. Rec.: J. Transp. Res. Board, 72, 10.3141/2082-09 Han, 2021, The value of pre-trip information on departure time and route choice in the morning commute under stochastic traffic conditions, Transp. Res. B, 152, 205, 10.1016/j.trb.2021.08.006 Han, 2021, Coordination behavior in mode choice: Laboratory study of equilibrium transformation and selection, Prod. Oper. Manage., 30, 3635, 10.1111/poms.13454 Henrich, 2006, Costly punishment across human societies, Science, 312, 1767, 10.1126/science.1127333 Hidalgo, 2013, Brt and bhls around the world: Explosive growth, large positive impacts and many issues outstanding, Res. Transp. Econ., 39, 8, 10.1016/j.retrec.2012.05.018 Iida, 1992, Experimental analysis of dynamic route choice behavior, Transp. Res. B, 26, 17, 10.1016/0191-2615(92)90017-Q İmre, 2017, Measuring comfort in public transport: a case study for i̇stanbul, Transp. Res. Proc., 25, 2441 Innocenti, 2013, Car stickiness: Heuristics and biases in travel choice, Transp. Policy, 25, 158, 10.1016/j.tranpol.2012.11.004 Katz, 1985, Network externalities, competition, and compatibility, The American Economic Review, 75, 424 Klein, 2016, Emergence of cooperation in congested road networks using ict and future and emerging technologies: A game-based review, Transp. Res. C, 72, 10, 10.1016/j.trc.2016.09.005 Klein, 2018, Emergence of cooperative route-choice: a model and experiment of compliance with system-optimal atis, Transp. Res. F, 59, 348, 10.1016/j.trf.2018.09.007 Lewis, 1977, Estimating the influence of public policy on road traffic levels in greater london, J. Transp. Econ. Policy, 155 Lindsey, 2014, Pre-trip information and route-choice decisions with stochastic travel conditions: Theory, Transp. Res. B, 67, 187, 10.1016/j.trb.2014.05.006 Liu, 2020, Experimental study of day-to-day route-choice behavior: Evaluating the effect of atis market penetration, J. Adv. Transp. Liu, 2021, Departure time choice behavior in commute problem with stochastic bottleneck capacity: experiments and modeling, Transportmetrica A, 1 Liu, 2015, Cost-sharing in directed networks: Experimental study of equilibrium choice and system dynamics, J. Oper. Manage., 39, 31, 10.1016/j.jom.2015.07.004 Mak, 2015, Route vs. segment: An experiment on real-time travel information in congestible networks, Prod. Oper. Manage., 24, 947, 10.1111/poms.12312 Mak, 2018, A network ridesharing experiment with sequential choice of transportation mode, Theory and Decision, 85, 407, 10.1007/s11238-018-9663-y Mak, 2018, The braess paradox and coordination failure in directed networks with mixed externalities, Prod. Oper. Manage., 27, 717, 10.1111/poms.12827 Mogridge, 1990 Morgan, 2009, Network architecture and traffic flows: Experiments on the pigou–knight–downs and braess paradoxes, Games Econom. Behav., 66, 348, 10.1016/j.geb.2008.04.012 Oechssler, 2003, Can you guess the game you are playing?, Games Econom. Behav., 43, 137, 10.1016/S0899-8256(02)00549-3 Oosterbeek, 2004, Cultural differences in ultimatum game experiments: Evidence from a meta-analysis, Exp. Econ., 7, 171, 10.1023/B:EXEC.0000026978.14316.74 Qi, 2019, Individual response modes to pre-trip information in congestible networks: laboratory experiment, Transportmetrica A, 15, 376, 10.1080/23249935.2018.1485061 Qi, 2019, A smart-city scope of operations management, Prod. Oper. Manage., 28, 393, 10.1111/poms.12928 Rapoport, 2014, Pre-trip information and route-choice decisions with stochastic travel conditions: Experiment, Transp. Res. B, 68, 154, 10.1016/j.trb.2014.06.007 Rapoport, 2018, Strategic interactions in transportation networks, Handb. Behav. Oper., 557, 10.1002/9781119138341.ch16 Rapoport, 2019, When a few undermine the whole: A class of social dilemmas in ridesharing, J. Econ. Behav. Organ., 166, 125, 10.1016/j.jebo.2019.08.015 Schrank, 2019 Selten, 2007, Commuters route choice behaviour, Games Econom. Behav., 58, 394, 10.1016/j.geb.2006.03.012 Steinberg, 1983, The prevalence of braess’ paradox, Transp. Sci., 17, 301, 10.1287/trsc.17.3.301 Sun, 2017, Decision dynamics of departure times: Experiments and modeling, Physica A, 483, 74, 10.1016/j.physa.2017.04.127 Sunitiyoso, 2011, The effect of social interactions on travel behaviour: An exploratory study using a laboratory experiment, Transp. Res. A, 45, 332 Van Audenhove, 2018 Van Vugt, 1995, Car versus public transportation? the role of social value orientations in a real-life social dilemma 1, J. Appl. Soc. Psychol., 25, 258, 10.1111/j.1559-1816.1995.tb01594.x Wijayaratna, 2016, Impact of information on risk attitudes: Implications on valuation of reliability and information, J. Choice Model., 20, 16, 10.1016/j.jocm.2016.09.004 Wijayaratna, 2017, An experimental study of the online information paradox: does en-route information improve road network performance?, PLoS One, 12, 10.1371/journal.pone.0184191 Woodcock, 2009, Public health benefits of strategies to reduce greenhouse-gas emissions: urban land transport, Lancet, 374, 1930, 10.1016/S0140-6736(09)61714-1 Yang, 2022, Experimental study and modeling of departure time choice behavior in the bottleneck model with staggered work hours, Travel Behav. Soc., 27, 79, 10.1016/j.tbs.2021.12.004 Yao, 2019, Traffic assignment paradox incorporating congestion and stochastic perceived error simultaneously, Transportmetrica A, 15, 307, 10.1080/23249935.2018.1474962 Ye, 2018, Exploration of day-to-day route choice models by a virtual experiment, Transp. Res. C, 94, 220, 10.1016/j.trc.2017.08.020