Abstract
The passengers’ travel decision-making process can be regarded as limited rational decision-making behavior under the certain and uncertain comprehensive condition. In this study, in consideration of the different types of passengers’ heterogeneity characteristics, the passengers are divided into 5 heterogeneous categories according to the travel purpose. The heterogeneous passengers’ prospected comprehensive evaluation to the high-speed railway, common railway, highway and aviation are used as the reference point. The frequency distributions of these heterogeneous passengers’ actual evaluation score to the 4 travel modes, which are obtained through questionnaire investigation, are used as the probability distribution. The prospect theory is used to establish a passenger travel mode decision-making model to calculate the 5 kinds of heterogeneous passengers’ comprehensive prospect value to the 4 travel modes. Besides, combined with the Logit model, the 5 kinds of heterogeneous passengers’ fuzzy choice probability to the 4 modes are calculated and a comparative analysis has been made to reflect the heterogeneous passengers’ fuzzy travel choice preference.
This paper is supported by the National Natural Science Fund Project “Passenger Share Research of different travel modes based on the Passengers’ Travel Preferences in the Passenger Corridor (51778047)”.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Neuman, J. V., & Morgenstern, O. (1944). Theory of games and economic behavior. Upper Saddle River: Princeton University Press.
McFadden, D. (1974). Conditional logit analysis of qualitative choice behavior. In P. Zarembka (Ed.), Frontiers in econometrics (pp. 105–142). New York: Academic Press.
Zhang, J. N., & Zhao, P. (2012). Research on passenger choice behavior of trip mode in comprehensive transportation corridor. China Railway Science, 33(3), 123–131.
Kahneman, D., & Tversky, A. (1979). Prospect theory: an analysis of decision under risk. Econometrica, 47(2), 263–291.
Katsikopoulos, K. V., Duse-Anthony, Y., Fisher, D. L., et al. (2000). The framing of drivers’ route choices when travel time information is provided under varying degrees of cognitive load. Human Factors: The Journal of the Human Factors and Ergonomics Society, 42(3), 470–481.
Avineri, E. (2006). The effect of reference point on stochastic network equilibrium. Transportation Science, 40(4), 409–420.
Xu, H. L., Zhou, J., & Xu, W. (2011). Cumulative prospect theory-based user equilibrium model for stochastic network. Journal of Management Sciences in China, 14(7), 1–7.
Connors, R. D., & Sumalee, A. (2009). A network equilibrium model with travellers’ perception of stochastic travel times. Transportation Research Part B: Methodological, 43(6), 614–624.
Liu, Y. Y., Liu, W. M., & Wu, J. W. (2010). Route choice model of traveler based on cumulative prospect theory. Journal of South China University of Technology (Natural Science Edition), 38(7), 84–90.
Jou, R. C., Kitamura, R., Weng, M. C., et al. (2008). Dynamic commuter departure time choice under uncertainty. Transportation Research Part A: Policy and Practice, 42(5), 774–783.
Xia, J. J., Juan, Z. C., & Gao, J. X. (2012). Travel routing behaviors based on prospect theory. Journal of Highway and Transportation Research and Development, 42(5), 126–131.
Luo, Q. Y., Wu, W. J., Jia, H. F., & Hu, P. F. (2012). Analysis of residents travel mode choice based on prospect theory. Journal of Transport Information and Safety, 42(5), 37–40.
Li, Y. W. (2002). Railway passenger satisfaction survey analysis. Railway Economics Research, 33–35.
Shi, F., Deng, L. B., & Huo, L. (2007). Boarding choice behavior and its utility of railway passengers. China Railway Science, 28(6), 117–121.
He, Y. Q., Mao, B. H., Chen, T. S., & Yang, J. (2006). The mode share model of the high-speed passenger railway line and its application. Journal of the China Railway Society, 28(3), 18–21.
Feng, Y. Q., Li, X. W., & Li, X. M. (2011). Comprehensive evaluation of the railway passenger’s satisfaction based on rough set and entropy. In International Conference on Enterprise Information Systems, SAIC, HCL, (pp. 629–635).
Deng, J. B., & Li, X. Y. (2012). Research on the railway passenger satisfaction based on neural network. Journal of Qiqihar University (Natural Science Edition), 28(2), 73–75.
Jiang, A. K., Feng, Y. Q., Li, X. M., & Li, X. W. (2013). Railway passenger’s satisfaction evaluation based on entropy method and fuzzy theory. In 2013 International Conference on Logistics, Informatics and Services Sciences, no. 1, (pp. 578–583).
Xu, H. L., Zhou, J., & Xu, W. (2011). A decision-making rule for modeling travelers’ route choice behavior based on cumulative prospect theory. Transportation Research Part C, 19(2), 218–228.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Feng, Y., Cao, X., Li, X. (2020). Passenger Travel Mode Decision-Making Research in Transport Corridor Based on the Prospect Theory. In: Zhang, J., Dresner, M., Zhang, R., Hua, G., Shang, X. (eds) LISS2019. Springer, Singapore. https://doi.org/10.1007/978-981-15-5682-1_28
Download citation
DOI: https://doi.org/10.1007/978-981-15-5682-1_28
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-5681-4
Online ISBN: 978-981-15-5682-1
eBook Packages: Business and ManagementBusiness and Management (R0)