Multicriteria evaluation of High-Speed Rail, Transrapid Maglev and Air Passenger Transport in Europe

被引:94
|
作者
Janic, M [1 ]
机构
[1] Delft Univ Technol, OTB Res Inst Housing Urban & Mobil Studies, NL-2600 GA Delft, Netherlands
关键词
high-speed transport systems; Europe; multicriteria analysis; entropy method; interest groups;
D O I
10.1080/0308106032000167373
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
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.
引用
收藏
页码:491 / 512
页数:22
相关论文
共 50 条
  • [21] Quantifying the substitutability and complementarity between high-speed rail and air transport
    Zhang, Fangni
    Graham, Daniel J.
    Wong, Mark Siu Chun
    [J]. TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2018, 118 : 191 - 215
  • [22] Intermodal competition between high-speed rail and air transport in Spain
    Gundelfinger-Casar, Javier
    Coto-Millan, Pablo
    [J]. UTILITIES POLICY, 2017, 47 : 12 - 17
  • [23] Air Transport versus High-Speed Rail: An Overview and Research Agenda
    Sun, Xiaoqian
    Zhang, Yu
    Wandelt, Sebastian
    [J]. JOURNAL OF ADVANCED TRANSPORTATION, 2017,
  • [24] High-speed rail transport valuation
    Pimentel, Pedro Miguel
    Azevedo-Pereira, Jose
    Couto, Gualter
    [J]. EUROPEAN JOURNAL OF FINANCE, 2012, 18 (02): : 167 - 183
  • [25] Research on Competition between High-speed Rail and Air Transport in China
    Zhang Xu
    Luan Weixin
    [J]. PROCEEDINGS OF 2010 3RD IEEE INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY (ICCSIT 2010), VOL 5, 2010, : 642 - 646
  • [26] Prediction and Evaluation of the Comfort of a Passenger in a High-Speed Maglev System Based on a Neural Network Algorithm
    Yin, Long
    Sun, Guoxin
    Li, Jun
    Hu, Jie
    [J]. CICTP 2020: TRANSPORTATION EVOLUTION IMPACTING FUTURE MOBILITY, 2020, : 1080 - 1088
  • [27] The analysis of high-speed wheel-rail train and high-speed maglev train safety systems
    Yang, G
    Tang, ZM
    [J]. 2005 International Conference on Services Systems and Services Management, Vols 1 and 2, Proceedings, 2005, : 1403 - 1407
  • [28] Competition and cooperation between high-speed rail and air transportation services in Europe
    Albalate, Daniel
    Bel, Germa
    Fageda, Xavier
    [J]. JOURNAL OF TRANSPORT GEOGRAPHY, 2015, 42 : 166 - 174
  • [29] Transport Policy as a Way to Strengthen Geostrategic Position - A Review of Vienna as a Centre of Air and High-Speed Rail Transport in Central Europe
    Stellner, Frantisek
    Vokoun, Marek
    Szobi, Pavel
    Kasa, Marek
    [J]. PROMET-TRAFFIC & TRANSPORTATION, 2023, 35 (03): : 285 - 298
  • [30] Air and high-speed rail transport integration on profits and welfare: Effects of air-rail connecting time
    Xia, Wenyi
    Zhang, Anming
    [J]. JOURNAL OF AIR TRANSPORT MANAGEMENT, 2017, 65 : 181 - 190