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Efficiency of the rail sections in Brazilian railway system, using TOPSIS and a genetic algorithm to analyse optimized scenarios

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  • Marchetti, Dalmo
  • Wanke, Peter

Abstract

A railway system plays a significant role in countries with large territorial dimensions. The Brazilian rail cargo system (BRCS), however, is focused on solid bulk for export. This paper investigates the extreme performances of BRCS through a new hybrid model that combines TOPSIS with a genetic algorithm for estimating the weights in optimized scenarios. In a second stage, the significance of selected variables was assessed. The transport of any type of cargo, a centralized control of the operation, and sharing the railway track pushing competition, and the diversification of services are significant for high performance. Public strategies are discussed.

Suggested Citation

  • Marchetti, Dalmo & Wanke, Peter, 2020. "Efficiency of the rail sections in Brazilian railway system, using TOPSIS and a genetic algorithm to analyse optimized scenarios," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 135(C).
    • Handle: RePEc:eee:transe:v:135:y:2020:i:c:s136655451930403x
    DOI: 10.1016/j.tre.2020.101858
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    Cited by:

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    2. Gürler, Hasan Emin & Özçalıcı, Mehmet & Pamucar, Dragan, 2024. "Determining criteria weights with genetic algorithms for multi-criteria decision making methods: The case of logistics performance index rankings of European Union countries," Socio-Economic Planning Sciences, Elsevier, vol. 91(C).
    3. Weixin Yang & Yue Hu & Qinyi Ding & Hao Gao & Lingguang Li, 2023. "Comprehensive Evaluation and Comparative Analysis of the Green Development Level of Provinces in Eastern and Western China," Sustainability, MDPI, vol. 15(5), pages 1-23, February.
    4. Jorge Antunes & Goodness C. Aye & Rangan Gupta & Peter Wanke & Yong Tan, 2020. "Endogenous Long-Term Productivity Performance in Advanced Countries: A Novel Two-Dimensional Fuzzy-Monte Carlo Approach," Working Papers 2020111, University of Pretoria, Department of Economics.
    5. El Yaagoubi, Amina & Ferjani, Aicha & Essaghir, Yasmina & Sheikhahmadi, Farrokh & Abourraja, Mohamed Nezar & Boukachour, Jaouad & Baron, Marie-Laure & Duvallet, Claude & Khodadad-Saryazdi, Ali, 2022. "A logistic model for a french intermodal rail/road freight transportation system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    6. Elżbieta Szaruga & Elżbieta Załoga & Arkadiusz Drewnowski & Paulina Dąbrosz-Drewnowska, 2023. "Convergence of Energy Intensity of the Export of Goods by Rail Transport: Linkages with the Spatial Integration and Economic Condition of Countries," Energies, MDPI, vol. 16(9), pages 1-24, April.

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