Using Profit-Maximizing Capacity Framework and Models for Railway Capacity Management
Publication: Journal of Transportation Engineering
Volume 142, Issue 10
Abstract
The booming demand for rail services presents a challenge to railway capacity worldwide. Rail infrastructure managers are facing critical issues regarding how to efficiently utilize track resources and possibly optimize the allocation of track capacity. The traditional definition of rail capacity is usually based on the maximum number of trains that can be operated in a section of track in a given period. The unit ( or ) does not reflect the train types or consider the revenue generated by each train. To overcome these limitations, this research proposed a new concept, profit-maximizing capacity (PMC), and established corresponding framework and models to maximize the profit generated from capacity according to demand and system characteristics. Computational results from the case studies demonstrate that the optimal usage of the rail infrastructure can be obtained through the use of PMC framework and models. Compared to the conventional capacity management strategy, the developed method can provide substantial benefit from more efficient track utilization and capacity allocation. Using this framework can help infrastructure managers formulate better capacity management strategies, thereby leading to a more efficient and sustainable railway system.
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Acknowledgments
This project was funded by the National Science Council of Taiwan under NSC102-2221-E002-158
References
AASHTO. (2007). “Transportation-invest in our future: America’s freight challenge.” Washington, DC.
Abril, M., Barber, F., Ingolotti, L., Salido, M., Tormos, P., and Lova, A. (2008). “An assessment of railway capacity.” Transp. Res. Part E: Logist. Transp. Rev., 44(5), 774–806.
Bronzini, M. S., and Clarke, D. B. (1985). “Estimating rail line capacity and delay by computer simulation.” Transp. Forum, 2(1), 5–11.
Carey, A., and Kwiecinski, A. (1994). “Stochastic approximation to the effects of headways on knock-on delays of trains.” Transp. Res. Part B, 28(4), 251–267.
Corbett, J. (1988). “Famine and household coping strategies.” World Dev., 16(9), 1099–1112.
Dingler, M. H., Lai, Y. C., and Barkan, C. P. L. (2009). “Impact of train type heterogeneity on single-track railway capacity.” Transp. Res. Rec., 2117, 41–49.
Dingler, M. H., Lai, Y. C., and Barkan, C. P. L. (2013). “Mitigating train-type heterogeneity on a single-track line.” J. Rail Rapid Transit, 227(2), 140–147.
Dingler, M. H., Lai, Y. C., and Barkan, C. P. L. (2014). “Effect of train-type heterogeneity on single-track heavy haul railway line capacity.” J. Rail Rapid Transit, 228(8), 845–856.
GAMS. (2009). A user’s guide, GAMS Development Corporation, Washington, DC.
Gorman, M. H. (2009). “Statistical estimation of railroad congestion delay.” Transp. Res. Part E, 45(3), 446–456.
Huisman, T., and Boucherie, R. J. (2001). “Running times on railway sections with heterogeneous train traffic.” Transp. Res. Part B, 35(3), 271–292.
Kozan, E., and Burdett, R. L. (2006). “Techniques for absolute capacity determination in railways.” Transp. Res. Part B, 40(8), 616–632.
Kraft, E. R. (1988). “Analytical models for rail line capacity analysis.” J. Transp. Res. Forum, 24, 153–162.
Krueger, H. (1999). “Parametric modeling in rail capacity planning.” Proc., 31st Conf. on Winter Simulation: Simulation—A bridge to the future, Vol. 2, ACM, New York, 1194–1200.
Lai, Y. C., and Barkan, C. P. L. (2009). “Enhanced parametric railway capacity evaluation tool.” Transp. Res. Rec., 2117, 33–40.
Lai, Y. C., and Barkan, C. P. L. (2011). “Comprehensive decision support framework for strategic railway capacity planning.” J. Transp. Eng., 738–749.
Lai, Y. C., Huang, Y. A., and Chu, H. Y. (2014a). “Estimation of rail capacity using regression and neural network.” Neural Comput. Appl., 25(7), 2067–2077.
Lai, Y. C., Lin, Y. J., and Cheng, Y. F. (2014b). “Assessment of capacity charges for shared-use rail lines.” Transp. Res. Rec., 2448, 62–70.
Lai, Y. C., Liu, Y. H., and Lin, T. Y. (2012). “Development of base train equivalents to standardize trains for capacity analysis.” Transp. Res. Rec., 2289, 119–125.
Lai, Y. C., Liu, Y. H., and Lin, Y. J. (2015). “Standardization of capacity unit for headway-based rail capacity analysis.” Transp. Res. Part C, 57, 68–84.
Lai, Y. C., and Shih, M. C. (2013). “A stochastic multiperiod investment selection model to optimize strategic railway capacity planning.” J. Adv. Transp., 47(3), 281–296.
Lai, Y. C., Shih, M. C., and Jong, J. C. (2010). “Railway capacity model and decision support process for strategic capacity planning.” Transp. Res. Rec., 2197, 19–28.
Linder, T. (2011). “Applicability of the analytical UIC Code 406 compression method for evaluating line and station capacity.” J. Rail Transp. Plann. Manage., 1(1), 49–57.
Quiry, P., Fur, Y. L., Salvi, A., Dallochio, M., and Vernimmen, P. (2011). Corporate finance: Theory and practice, 2nd Ed., Wiley, Chichester, West Sussex.
Sameni, M. K., Dingler, M. H., Preston, J. M., and Barkan, C. P. L. (2011). “Profit-generating capacity for a freight railroad.” Transportation Research Board 90th Annual Meeting, Transportation Research Board, Washington, DC.
TRA (Taiwan Railways Administration). (2012). “Annual report.” Ministry of Transportation and Communication, Taiwan.
van de Velde, D., et al. (2012). “Economic effects of vertical separation in the railway sector.”, VU Amsterdam Univ., Amsterdam, Netherlands.
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Published In
Journal of Transportation Engineering
Volume 142 • Issue 10 • October 2016
Copyright
© 2016 American Society of Civil Engineers.
History
Received: Oct 27, 2015
Accepted: Mar 30, 2016
Published online: Jun 6, 2016
Published in print: Oct 1, 2016
Discussion open until: Nov 6, 2016
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