Abstract
Value of travel time (VOTT) is a fundamental index in transportation economics, which represents the trip cost that the travelers are willing to pay for saving their travel time, working as a communicator between money and time. VOTT is of great importance in urban transportation planning and traffic forecasting as VOTT of travelers will impact on their traveling mode, frequency and routes. VOTT is calculated by estimating the ratio of the utility function on travel time and cost. The model is specified through logit regression analysis. In this paper, a stated preference survey on the VOTT of travelers is conducted in Nanjing, China. We adopt mixed logit model, which is a flexible model that allows the parameters to vary across the population and is not restricted by the IIA property, to perform the regression, and analyze the distribution of VOTT.
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References
Liu, Z., Meng, Q., Wang, S.: Speed-based toll design for cordon-based congestion pricing scheme. Transp. Res. Part C 31, 83–98 (2013)
Liu, Z., Wang, S., Meng, Q.: Optimal joint distance and time toll for cordon-based congestion pricing. Transp. Res. Part B 69, 81–97 (2014)
Liu, Z., Wang, S., Zhou, B., Cheng, Q.: Robust optimization of distance-based tolls in a network considering stochastic day to day dynamics. Transp. Res. Part C 79, 58–72 (2017)
Chen, J., Liu, Z., Zhu, S., Wang, W.: Design of limited-stop bus service with capacity constraint and stochastic travel time. Transp. Res. Part E 83, 1–15 (2015)
Liu, Z., Yan, Y., Qu, X., Zhang, Y.: Bus stop-skipping scheme with random travel time. Transp. Res. Part C 35, 46–56 (2013)
Liu, Z., Wang, S., Chen, W., Zheng, Y.: Willingness to board: a novel concept for modeling queuing up passengers. Transp. Res. Part B 90, 70–82 (2016)
Athira, I.C., Muneera, C.P., Krishnamurthy, K., Anjaneyulu, M.V.L.R.: Estimation of value of travel time for work trips. Transp. Res. Procedia 17, 116–123 (2016)
Wang, F.: Study on behavior value of time based on stated preference survey (Master’s thesis). Beijing University of Technology (2005)
Kockelman, D.K., Chen, T.D., Larsen, D.K., Nichols, B.: The economics of transportation systems: a reference for practitioners. University of Texas (2013)
Becker, G.S.: A theory of the allocation of time. Econ. J. 75, 493–517 (1965)
Johnson, M.B.: Travel time and the price of leisure. Econ. Inq. 4(2), 135–145 (1966)
De Serpa, A.: A theory of the economics of time. Econ. J. 81, 828–846 (1971)
Cesario, F.J.: Value of time in recreation benefit studies. Land Econ. 52(1), 32 (1976)
Daly, A.J., Zachary, S.: Commuters’ value of time. Transportation Research Record (1975)
Mcfadden, D.L.: Conditional logit analysis of qualitative choice behavior. In: Frontiers in Econometrics (1972)
Boyd, J.H., Mellman, R.E.: The effect of fuel economy standards on the US automotive market: an hedonic demand analysis. Transp. Res. Part A 14(5–6), 367–378 (1980)
Cardell, N.S., Dunbar, F.C.: Measuring the societal impacts of automobile downsizing. Transp. Res. Part A 14(5–6), 423–434 (1980)
Ben-Akiva, M., Bolduc, D., Bradley, M.: Estimation of travel model choice models with randomly distributed values of time. Transp. Res. Rec. 1413, 88–97 (1993)
Greene, W.H., Hensher, D.A., Rose, J.: Accounting for heterogeneity in the variance of unobserved effects in mixed logit models. Transp. Res. Part B 40, 75–92 (2006)
Train, K.: Mixed logit with a flexible mixing distribution. J. Choice Model. 19(2000), 40–53 (2016)
Devarasetty, P.C., Burris, M., Shaw, W.D.: The value of travel time and reliability-evidence from a stated preference survey and actual usage. Transp. Res. Part A 46(8), 1227–1240 (2012)
Algers, S., Bergström, P., Dahlberg, M., Dillén, J.L.: Mixed logit estimation of the value of travel time. Working Paper, Department of Economics, Uppsala University (1998)
Li, R., Lin, D.K., Chen, Y.: Uniform design: design, analysis and applications. Int. J. Mater. Prod. Technol. 20(1), 101–114 (2004)
Train, K.E.: Discrete Choice Methods with Simulation. Cambridge University Press, Cambridge (2009)
Qiao, C.G., Wood, G.R., Lai, C.D., Luo, D.W.: Comparison of two common estimators of the ratio of the means of independent normal variables in agricultural research. Adv. Decis. Sci. 2006, 14 (2006)
Acknowledgment
This study is supported by the Projects of International Cooperation and Exchange (No. 51561135003), Key Projects (No. 51638004) and Youth Projects (No. 71501038) of the National Natural Science Foundation of China.
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Lv, C., Dai, L., Huang, K., Liu, Z. (2019). Estimating the Value of Travel Time Using Mixed Logit Model: A Practical Survey in Nanjing. In: De Pietro, G., Gallo, L., Howlett, R., Jain, L., Vlacic, L. (eds) Intelligent Interactive Multimedia Systems and Services. KES-IIMSS-18 2018. Smart Innovation, Systems and Technologies, vol 98. Springer, Cham. https://doi.org/10.1007/978-3-319-92231-7_33
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DOI: https://doi.org/10.1007/978-3-319-92231-7_33
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