Abstract
Pointing at the bounded rationality problem of passenger travel choice in the railway corridor, this paper proposes a travel choice theory considering passengers psychological expectation, and establishes the travel mode decision model based on prospect theory. With the comprehensive prospect value combined by analyzing the travel time, travel expenses and the comfort degree of the psychological reference point, it obtains the passengers travel mode choice results. Taking railway transport corridor from Baoji to Lanzhou as an example, by calculating the comprehensive prospect value, and analyzing the punctuality, the scheduled arrival time, price and the sensitivity from speed on travel choice, it finds out that the passengers tend to choose high-speed rail travel with a higher punctuality rate and tend to a mode with relatively lower fares and faster speed. When the predetermined arrival time is abundant, the travel proportion of choosing the general rail travel with longer travel time and better economy is gradually increasing.










Similar content being viewed by others
References
Zhang, B., Juan, Z.C., Ni, A.N.: The applicability of prospect theory in travel behavior research. J. Beijing Inst. Technol. (Soc. Sci. Edn.) 1, 54–62 (2013)
Kahneman, D., Tversky, A.: Prospect theory: an analysis of decision under risk. Econometrica 47(2), 263–292 (1979)
Tversky, A., Kahneman, D.: Advances in prospect theory: cumulative representation of uncertainty. J. Risk Uncertain. 5(4), 297–323 (1992)
Zhuang, J.: Decision Psychology. Shanghai Education Press, Shanghai (2006)
Hu, X., Wang, J., et al.: Traveler’s mode choice behavior analysis under bounded rational. J. Harbin Inst. Technol. 12, 114–118 (2011)
Peng, Q.Y., Yong, Y., et al.: Model of railway transportation channel share based on finished dedicated passenger line. J. Southwest Jiaotong Univ. 06, 788–792 (2005)
Qun-qi, W.U., Zhi-ying, H.: Analysis of transportation behavior essence and its characteristics. J. Traffic Transp. Eng. 7(3), 116–120 (2007)
Wesemann, L., Duve, P., Roach, N.: Comparison of travel behavior before and after the opening of HOV lanes in a suburban travel corridor. Transp. Res. Rec. 12, 12–15 (1989)
Hu, J., Liu, Y., Yan, Z., Hu, W.: Decision-making mechanism of mode choice in transportation corridor based on SEM. J. Transp. Eng. Inf. 9, 7–15 (2015)
Wang, X.: Passenger transport contribution rate of multiple modes of transport in transport corridor. J. Railw. Sci. Eng. 9(6), 119–125 (2012)
Ye, Y.L., Guan, X.Y., et al.: Study on passenger flow sharing rate model of new passenger dedicated line and existing railway line. J. Huazhong Univ. Sci. Technol. 3, 48–50 (2010)
Schwanen, T., Ettema, D.: Coping with unreliable transportation when collecting children: examining parents’ behavior with cumulative prospect theory. Transp. Res. Part A Policy Pract. 43(5), 511–525 (2009)
Kaa, E.J.V.D.: Extended prospect theory: findings on choice behaviour from economics and the behavioural sciences and their relevance for travel behaviour. Math. Models 27, 81–98 (2008)
Avineri, E.: The effect of reference point on stochastic network equilibrium. Transp. Sci. 40(4), 409–420 (2006)
Senbil, M., Kitamura, R.: Reference points in commuter departure time choice: a prospect theoretic test of alternative decision frames. Intell. Transp. Syst. J. 8(1), 19–31 (2004)
Hongfei, L.U.O.Q.W.U.W.J., Pengfei, H.U.: Analysis of residents travel mode choice based on prospect theory. J. Transp. Inf. Saf. 2(30), 37–40 (2012)
Jun, M.I., Yang, Z.H.A.N.G.: Research of travel mode choice based on prospect theory. J. Transp. Eng. Inf. 3(13), 81–87 (2015)
Kun, Q.: Research on travel mode choice behavior based on prospect theory. Nanjing University of Finance and Economics (2015)
Wang, Y.: Research on model comparision for travel decision based on expected utility theory and prospect theory. Southwest Jiao-Tong University (2011)
Xing, R.: Study on modal choice of urban resident based on the prospect theory. Changsha University of Science&Technology (2014)
Zhang, W., He, R.: Residents travel mode choice based on prospect theory. J. Comput. Appl. 3, 749–753 (2014)
Zhang, W., He, R.: Study on the decision making method of passenger car based on passenger psychology. J. Transp. Syst. Eng. Inf. 2, 17–23 (2015)
Avineri, E., Bovy, P.H.L.: Identification of parameters for a prospect theory model for travel choice analysis. Transp. Res. Rec. J Transp. Res. Board 2082(2082), 141–147 (2008)
An, S., Hu, X., Wang, J.: A cumulative prospect theory approach to car owner mode choice behaviour prediction. Transport 29(4), 386–394 (2014)
Yang, J., Jiang, G.: Development of an enhanced route choice model based on cumulative prospect theory. Transp. Res. Part C 47, 168–178 (2014)
Zhang, W., He, R.: Dynamic route choice based on prospect theory. Proc. Soc. Behav. Sci. 138, 159–167 (2014)
Yang, C., Liu, B., Zhao, L. et al.: Travelers’ risk attitude classification method based on cumulative prospect theory and experimental results. In: IEEE, International Conference on Intelligent Transportation Systems, pp. 869–874 (2015)
Sui, R.L., Tan, J.C.: Resident travel mode choice based on cumulative prospect theory under congestion pricing. J. Chongqing Normal Univ. 31(03), 130–134 (2014)
Zhang, G.: Transportation System Analysis. Southwest Jiao Tong University Press, Chengdu (1991)
Pawlak, Z.: Rough set. Int. J. Comput. Inf. Sci. 11(5), 341–356 (1982)
Ma, N., Xu, L.N., Xie, F.F., et al.: Reduction of the influential factors of railway passenger demand based on rough set. Appl. Mech. Mater. 58–60, 112–117 (2011)
Feng, Y.Q., Li, X.M., et al.: Rough set theory based travel decision-making factor analysis and weight calculation for railway passengers of compound attribute. J. China Railw. Soc. 9, 1–9 (2014)
Cheng, L., Chen, X., Wei, M., et al.: Modeling mode choice behavior incorporating household and individual sociodemographics and travel attributes based on rough sets theory. Comput. Intell. Neurosci. 2014(2014), 560919 (2014)
Wang, W., Namgung, M.: Applying rough set theory to find relationships between personal demographic attributes and long distance travel mode choices. In: Proceedings of the International Conference on Multimedia and Ubiquitous Engineering, pp. 471–476 (2007)
Acknowledgements
The authors thank the reviewers who gave a through and careful reading to the original manuscript. Their comments are greatly appreciated and have help to improve the quality of this paper. This work is supported in part by the Research Planning Funds of Humanities and social sciences for the Ministry of Education (14YJA790023).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Li, Hj., Zhou, Hc., Feng, Jr. et al. Railway passengers travel behavior based on bounded rationality by rough set weight. Cluster Comput 22 (Suppl 4), 10019–10029 (2019). https://doi.org/10.1007/s10586-017-1061-7
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10586-017-1061-7