Comparative analysis of transit assignment: evidence from urban railway system in the Tokyo Metropolitan Area
Document Type
Journal Article
Publication Date
9-2010
Subject Area
place - asia, mode - rail, ridership - forecasting, ridership - modelling, operations - crowding, operations - capacity
Keywords
transit assignment, urban rail, comparative analysis, Tokyo Metropolitan Area
Abstract
This paper empirically compares the performance of six traffic assignment methods using the same empirical dataset of route choice. Multinomial logit (MNL), structured multinomial probit (SMNP), user equilibrium (UE), logit-based stochastic user equilibrium (SUE), probit-based SUE, and all-or-nothing (AON) assignment methods are applied to the comparative analysis. The investigated methods include those with three types of error components in their cost functions and two types of flow dependencies. Four methods of generating the route choice set are also compared for use as stochastic traffic assignment methods. The revealed preference data of urban rail route choice in the Tokyo Metropolitan Area are used for the case analysis. The empirical case analysis shows that probit-based SUE provides the best accuracy but requires the longest computation time. It also shows that the heuristics used to generate the choice set influence the method’s accuracy, while the incorporation of route commonality and in-vehicle congestion significantly improves its accuracy. Finally, the implications for practical rail planning are discussed on the basis of the analysis results.
Rights
Permission to publish the abstract given by Springerlink, copyright remains with them.
Recommended Citation
Kato, H., Kaneko, Y., & Inoue, M. (2010). Comparative analysis of transit assignment: evidence from urban railway system in the Tokyo Metropolitan Area. Journal of Transportation, Vol. 37, (5), Pp. 775-799.
