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An investment planning model for a new North-Central railway in Brazil

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  • Petersen, E. R.
  • Taylor, A. J.

Abstract

This paper presents a method for determining the optimal timing and economic feasibility of a new railway linking North and South Brazil, connecting the existing southern transportation systems to the vast agricultural and mineral wealth of the North-Central region. Possible new railway links, together with the existing road, rail and water transport system are modeled as a network. Shippers route their traffic over the network to minimize their cost, and the railway investor selects the sequence and timing of new links (if any) that maximize the present value of benefits to the investor. The problem can be formulated as a large mixed integer programming problem. However, in this paper we show that the problem can be formulated as nested dynamic programming models that can be easily implemented in a spreadsheet. The traffic assignment problem is implemented as a recursive model that is used to calculate the benefits for each possible system state. A second dynamic programming problem calculates the optimal expansion path for the system. The advantage of implementing these models in a spreadsheet is that optimal solutions are automatically recalculated if any of the data is changed. We show how this feature greatly simplifies sensitivity analysis.

Suggested Citation

  • Petersen, E. R. & Taylor, A. J., 2001. "An investment planning model for a new North-Central railway in Brazil," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(9), pages 847-862, November.
  • Handle: RePEc:eee:transa:v:35:y:2001:i:9:p:847-862
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    References listed on IDEAS

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    Cited by:

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    2. Fragkos, Ioannis & Cordeau, Jean-François & Jans, Raf, 2021. "Decomposition methods for large-scale network expansion problems," Transportation Research Part B: Methodological, Elsevier, vol. 144(C), pages 60-80.
    3. Ahern, Aoife & Anandarajah, Gabrial, 2007. "Railway projects prioritisation for investment: Application of goal programming," Transport Policy, Elsevier, vol. 14(1), pages 70-80, January.
    4. Andreas Bärmann & Alexander Martin & Hanno Schülldorf, 2017. "A Decomposition Method for Multiperiod Railway Network Expansion—With a Case Study for Germany," Transportation Science, INFORMS, vol. 51(4), pages 1102-1121, November.
    5. Blanco, Víctor & Puerto, Justo & Ramos, Ana B., 2011. "Expanding the Spanish high-speed railway network," Omega, Elsevier, vol. 39(2), pages 138-150, April.
    6. Han Zhang & Dongli Wu, 2022. "The Impact of Transport Infrastructure on Rural Industrial Integration: Spatial Spillover Effects and Spatio-Temporal Heterogeneity," Land, MDPI, vol. 11(7), pages 1-18, July.

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