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Multicriteria Evaluation of High-speed Rail, Transrapid Maglev and Air Passenger Transport in Europe

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  • Milan Janic

Abstract

This article deals with a multicriteria evaluation of High-Speed Rail, Transrapid Maglev and Air Passenger Transport in Europe. Operational, socio-economic and environmental performance indicators of the specific high-speed transport systems are adopted as the evaluation criteria. By using the entropy method, weights are assigned to particular criteria in order to indicate their relative importance in decision-making. The TOPSIS method is applied to carry out the multicriteria evaluation and selection of the preferable alternative (high-speed system) under given circumstances.

Suggested Citation

  • Milan Janic, 2003. "Multicriteria Evaluation of High-speed Rail, Transrapid Maglev and Air Passenger Transport in Europe," Transportation Planning and Technology, Taylor & Francis Journals, vol. 26(6), pages 491-512, December.
  • Handle: RePEc:taf:transp:v:26:y:2003:i:6:p:491-512
    DOI: 10.1080/0308106032000167373
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    Cited by:

    1. Tiziana D'Alfonso & Changmin Jiang & Valentina Bracaglia, 2015. "Air transport and high-speed rail competition: environmental implications and mitigation strategies," DIAG Technical Reports 2015-15, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
    2. Meng, Xuechen & Lin, Shanlang & Zhu, Xiaochuan, 2018. "The resource redistribution effect of high-speed rail stations on the economic growth of neighbouring regions: Evidence from China," Transport Policy, Elsevier, vol. 68(C), pages 178-191.
    3. Abderrahmen Mediouni & Nicolas Zufferey & Nachiappan Subramanian & Naoufel Cheikhrouhou, 2019. "Fit between humanitarian professionals and project requirements: hybrid group decision procedure to reduce uncertainty in decision-making," Annals of Operations Research, Springer, vol. 283(1), pages 471-496, December.
    4. D’Alfonso, Tiziana & Jiang, Changmin & Bracaglia, Valentina, 2015. "Would competition between air transport and high-speed rail benefit environment and social welfare?," Transportation Research Part B: Methodological, Elsevier, vol. 74(C), pages 118-137.
    5. Wang, Kun & Xia, Wenyi & Zhang, Anming & Zhang, Qiong, 2018. "Effects of train speed on airline demand and price: Theory and empirical evidence from a natural experiment," Transportation Research Part B: Methodological, Elsevier, vol. 114(C), pages 99-130.
    6. Kobryń Andrzej & Prystrom Joanna, 2016. "A Data Pre-Processing Model for the Topsis Method," Folia Oeconomica Stetinensia, Sciendo, vol. 16(2), pages 219-235, December.
    7. D’Alfonso, Tiziana & Jiang, Changmin & Bracaglia, Valentina, 2016. "Air transport and high-speed rail competition: Environmental implications and mitigation strategies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 261-276.
    8. Sun, Hui & Zhang, Yiting & Wang, Yuning & Li, Lei & Sheng, Yun, 2015. "A social stakeholder support assessment of low-carbon transport policy based on multi-actor multi-criteria analysis: The case of Tianjin," Transport Policy, Elsevier, vol. 41(C), pages 103-116.
    9. Peyman Babashamsi & Nur Izzi Md Yusoff & Halil Ceylan & Nor Ghani Md Nor & Hashem Salarzadeh Jenatabadi, 2016. "Sustainable Development Factors in Pavement Life-Cycle: Highway/Airport Review," Sustainability, MDPI, vol. 8(3), pages 1-21, March.
    10. Gülçin Canbulut & Erkan Köse & Oğuzhan Ahmet Arik, 2022. "Public transportation vehicle selection by the grey relational analysis method," Public Transport, Springer, vol. 14(2), pages 367-384, June.
    11. Uroš Kramar & Dejan Dragan & Darja Topolšek, 2019. "The Holistic Approach to Urban Mobility Planning with a Modified Focus Group, SWOT, and Fuzzy Analytical Hierarchical Process," Sustainability, MDPI, vol. 11(23), pages 1-29, November.
    12. Eda Ustaoglu & Brendan Williams, 2020. "Cost-Benefit Evaluation Tools on the Impacts of Transport Infrastructure Projects on Urban Form and Development," Chapters, in: Vito Bobek (ed.), Smart Urban Development, IntechOpen.
    13. Yeu-Shiang Huang & Wei-Hao Li, 2012. "A Study on Aggregation of TOPSIS Ideal Solutions for Group Decision-Making," Group Decision and Negotiation, Springer, vol. 21(4), pages 461-473, July.
    14. Łatuszyńska Anna, 2014. "Multiple-Criteria Decision Analysis Using Topsis Method For Interval Data In Research Into The Level Of Information Society Development," Folia Oeconomica Stetinensia, Sciendo, vol. 13(2), pages 63-76, July.
    15. Alaa Alden Al Mohamed & Sobhi Al Mohamed & Moustafa Zino, 2023. "Application of fuzzy multicriteria decision-making model in selecting pandemic hospital site," Future Business Journal, Springer, vol. 9(1), pages 1-22, December.
    16. Nocera, Silvio & Tonin, Stefania & Cavallaro, Federico, 2015. "The economic impact of greenhouse gas abatement through a meta-analysis: Valuation, consequences and implications in terms of transport policy," Transport Policy, Elsevier, vol. 37(C), pages 31-43.
    17. Zhao, Deng & Zhen-fu, Li & Yu-tao, Zhou & Xiao, Chen & Shan-shan, Liang, 2020. "Measurement and spatial spillover effects of port comprehensive strength: Empirical evidence from China," Transport Policy, Elsevier, vol. 99(C), pages 288-298.
    18. Macharis, Cathy & Bernardini, Annalia, 2015. "Reviewing the use of Multi-Criteria Decision Analysis for the evaluation of transport projects: Time for a multi-actor approach," Transport Policy, Elsevier, vol. 37(C), pages 177-186.
    19. Macharis, Cathy & De Witte, Astrid & Turcksin, Laurence, 2010. "The Multi-Actor Multi-Criteria Analysis (MAMCA) application in the Flemish long-term decision making process on mobility and logistics," Transport Policy, Elsevier, vol. 17(5), pages 303-311, September.
    20. Barfod, Michael Bruhn & Salling, Kim Bang, 2015. "A new composite decision support framework for strategic and sustainable transport appraisals," Transportation Research Part A: Policy and Practice, Elsevier, vol. 72(C), pages 1-15.
    21. Kannan, Govindan & Pokharel, Shaligram & Sasi Kumar, P., 2009. "A hybrid approach using ISM and fuzzy TOPSIS for the selection of reverse logistics provider," Resources, Conservation & Recycling, Elsevier, vol. 54(1), pages 28-36.
    22. Yi Lixin & Cheng Ke & Cao Xiaoying & Sun Yueling & Cheng Xiaoqing & He Ye, 2017. "Analysis of social vulnerability of residential community to hazards in Tianjin, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 87(2), pages 1223-1243, June.
    23. Eda Ustaoglu & Brendan Williams & Laura O. Petrov & Harutyun Shahumyan & Hedwig Van Delden, 2017. "Developing and Assessing Alternative Land-Use Scenarios from the MOLAND Model: A Scenario-Based Impact Analysis Approach for the Evaluation of Rapid Rail Provisions and Urban Development in the Greate," Sustainability, MDPI, vol. 10(1), pages 1-34, December.

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