511
Views
11
CrossRef citations to date
0
Altmetric
Original Articles

Modeling the Effects of Population Density on Prospect Theory-Based Travel Mode-Choice Equilibrium

&

REFERENCES

  • Attanasio, Q.P., & Paiella, M. (2011). Intertemporal consumption choices, transaction costs and limited participation in financial markets. Reconciling Data and Theory, 26(2), 322–343.
  • Avineri, E., & Prashker, J.N. (2005). Sensitivity to travel time variability: traveler's learning perspective. Transportation Research Part C, 13, 157–183.
  • Avineri, E. (2006). The effect of reference point on stochastic network equilibrium. Transportation Science, 40(4) 409–420.
  • Barberis, N., & Huang, M. (2001). Prospect theory and asset prices. Quarterly Journal of Economics 116(1), 1–53.
  • Benartzi, S., & Thaler, R.H. (1995). Myopic loss aversion and the equity premium puzzle. Quarterly Journal of Economics, 110(1), 73–92.
  • Bogers, E.A. I., Viti, F., & Hoogendoorn, S.P. (2005). Joint modeling of advanced travel information service, habit and learning: Impacts on route choice by laboratory simulator experiments. Transportation Research Record 1926, 189–197.
  • Chen, B.Y., Lam, W.H. K., Sumalee, A., Li, Q., & Shao, H. (2012). Finding reliable shortest paths in road networks under uncertainty. Networks & Spatial Economics. doi:10.1007/s11067-012-9175-1.
  • De Palma, A., & Picard, N. (2005). Route choice decision under travel time uncertainty. Transportation Research Part A, 39, 295–324.
  • Erev, I., & Barron, G. (2005). On adaptation, maximization, and reinforcement learning among cognitive strategies. Psychological Review, 112(4), 912–931.
  • Gao, S., Frejinger, E., & Akiva, M.B. (2010). Adaptive route choices in risky traffic networks: A prospect theory approach. Transportation Research Part C, 18(5), 727–740.
  • Hensher, D.A. (2001). The valuation of commuter travel time savings for car drivers: Evaluating alternative model specifications. Transportation, 28, 101–118.
  • Huang, H.J. (2000a). The models and economics of carpools. Annals of Regional Science, 34, 55–68.
  • Huang, H.J. (2000b). Fares and tolls in a competitive system with transit and highway: The case with two groups of travelers. Transportation Research Part E, 36(4), 267–284.
  • Huang, H.J., & Lam, W.H. K. (2002). Modeling and solving the dynamic user equilibrium route and departure time choice problem in network with queues. Transportation Research Part B, 36, 253–273.
  • Huang, H.J., Liu, T.L., & Yang, H. (2006). Modeling the evolutions of day-to-day route choice and year-to-year ATIS adoption with stochastic user equilibrium. Journal of Advanced Transportation, 42(2), 111–127.
  • Jehiel, P. (1993). Equilibrium on a traffic corridor with several congested modes. Transportation Science, 27(1), 16–24.
  • Jou, R.C., Kitamura, R., Weng, M.C., & Chen, C.C. (2008). Dynamic commuter departure time choice under uncertainty. Transportation Research A, 42, 774–783.
  • Lam, W.H. K., & Huang, H.J. (1992). A combined trip distribution and assignment model for multiple user classes. Transportation Research Part B, 26(4), 275–287.
  • Lam, T.C., & Small, K.A. (2001). The value of time and reliability: Measurement from a value pricing experiment. Transportation Research Part E, 37, 231–251.
  • Li, Z., & Hensher, D. (2011). Prospect theoretic contributions in understanding traveller behaviour: A review and some comments. Transportation Reviews, 31(1), 97–115.
  • Li, Z.C., Lam, W.H. K., Wong, S.C., Zhu, D.L., & Huang, H.J. (2006). Modeling park-and-ride services in a multimodal transportation network with elastic demand. Transportation Research Record, 1994, 101–109.
  • Liu, H.X., Recker, W., & Chen, A. (2004). Uncovering the contribution of travel time reliability to dynamic choice using real-time loop data. Transportation Research A, 38, 435–453.
  • Liu, T.L., Huang, H.J., Yang, H., & Zhang, X.N. (2009). Continuum modeling of park-and-ride services in a linear monocentric city with deterministic mode choice. Transportation Research Part B, 43, 692–707.
  • Lo, H.K., & Szeto, W.Y. (2001). Advanced transportation information systems: A Cost-effective alternative for network capacity expansion? Journal of Intelligent Transportation Systems, 6(4), 375–395.
  • Lo, H.K., & Szeto, W.Y. (2009). Time-dependent transport network design under cost-recovery. Transportation Research Part B, 43, 142–158.
  • Mahmassani, H.S. (1990). Dynamic models of commuter behavior: Experimental investigation and application to the analysis of planned traffic disruptions. Transportation Research Part A, 24, 465–484.
  • New York State Department of Transportation. (2012). New York city park and ride study. Retrieved from http://ntl.bts.gov/lib/44000/44700/44797/C-07-66_Final_Report_NYC_PR_Study.pdf
  • Niblett, R., & Palmer, D.J. (1993). Park and ride in London and the South East. Journal of the Institution of Highways and Transportation, 40(2), 4–10.
  • Noel, E.C. (1988). Park and ride: Alive, well and expanding in the United States. Journal of Urban Planning and Development—ASCE, 114(1), 2–13.
  • Qian, Z., & Zhang, H.M. (2011). Modeling multi-modal morning commute in a one-to-one corridor network. Transportation Research Part C, 19, 254–269.
  • Sheffi, Y. (1985). Urban transportation networks: Equilibrium analysis with mathematical programming methods. Englewood Cliffs, NJ: Prentice Hall.
  • Small, K.A., Winston, C., & Yan, J. (2005). Uncovering the distribution of motorists’ preferences for travel time reliability. Econometrics, 73, 1367–1382.
  • Szeto, W.Y., & Lo, H.K. (2005). The impact of advanced traveler information services on travel time and schedule delay costs. Journal of Intelligent Transportation Systems, 9(1), 47–55.
  • Tian, Q., Huang, H.J., & Yang, H. (2007). Equilibrium properties of the morning peak-period commuting in a many-to-one mass transit system. Transportation Research Part B, 41(6), 616–631.
  • 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.
  • Wong, S.C., Zhou, C.W., Lo, H.K., & Yang, H. (2004). Improved solution algorithm for multicommodity continuous distribution and assignment model. Journal of Urban Planning and Development—ASCE, 130(1), 14–23.
  • Wardrop, J. (1952). Some theoretical aspects of road traffic research. Proceedings of the Institution of Civil Engineers, 1, 325–378.
  • Xu, H.L, Lam, W.H. K., & Zhou, J. (2014). Modeling road users' behavioral change over time in stochastic road networks with guidance information. Transportmetrica B, 2(1), 30–39.

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.