Intermodal Transport Terminal Location Selection Using a Novel Hybrid MCDM Model

被引:28
作者
Zecevic, Slobodan [1 ]
Tadic, Snezana [1 ]
Krstic, Mladen [1 ]
机构
[1] Univ Belgrade, Fac Transport & Traff Engn, Logist Dept, Vojvode Stepe 305, Belgrade 11000, Serbia
关键词
intermodal transport; terminal; location; fuzzy Delphi; fuzzy ANP; fuzzy VIKOR; LOGISTICS CENTER LOCATION; FUZZY VIKOR; FREIGHT TRANSPORT; DECISION-SUPPORT; DEMATEL; DELPHI; INTEGRATION; NETWORKS; TOPSIS; ANP;
D O I
10.1142/S0218488517500362
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Intermodal Transport (IT) allows savings in energy, time and costs, improves the quality of services and supports sustainable development of the transport system. In order to make IT more competitive it is necessary to support the development of intermodal transport terminal (ITT), whereby it is very important to make adequate decision on its location. This paper proposes a framework for the selection of the ITT location which would be most appropriate for the various stakeholders (investors, users, administration and residents). They often have conflicting goals and interests, so it is necessary to define a large number of criteria for the evaluation. A novel hybrid MCDM model that combines fuzzy Delphi, fuzzy Delphi based fuzzy ANP (fuzzy DANP) and fuzzy Delphi based fuzzy Visekriterijumska Optimizacija i kompromisno Resenje (fuzzy DVIKOR) methods is developed in this paper with the aim of providing support to decision makers. The model is developed in the fuzzy environment in order to overcome the ambiguity and uncertainty of the decision makers' evaluations of the criteria, sub-criteria and alternatives. The validity and applicability of the model is demonstrated by successfully resolving the problem of selecting the location of the ITT in the City of Belgrade.
引用
收藏
页码:853 / 876
页数:24
相关论文
共 50 条
  • [31] Location selection of electric vehicles charging stations by using a fuzzy MCDM method: a case study in Turkey
    Ali Karaşan
    İhsan Kaya
    Melike Erdoğan
    Neural Computing and Applications, 2020, 32 : 4553 - 4574
  • [32] Location selection of electric vehicles charging stations by using a fuzzy MCDM method: a case study in Turkey
    Karasan, Ali
    Kaya, Ihsan
    Erdogan, Melike
    NEURAL COMPUTING & APPLICATIONS, 2020, 32 (09) : 4553 - 4574
  • [33] Using a hybrid MCDM model to evaluate firm environmental knowledge management in uncertainty
    Tseng, Ming-Lang
    APPLIED SOFT COMPUTING, 2011, 11 (01) : 1340 - 1352
  • [34] A novel approach for supplier selection based on the Kano model and fuzzy MCDM
    Ghorbani, Mazaher
    Arabzad, S. Mohammad
    Shahin, Arash
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2013, 51 (18) : 5469 - 5484
  • [35] Exploring mobile commerce adoption using a new hybrid fuzzy MCDM model
    Hu, Shu-Kung
    Lu, Ming-Tsang
    Tzeng, Gwo-Hshiung
    2014 INTERNATIONAL CONFERENCE ON FUZZY THEORY AND ITS APPLICATIONS (IFUZZY2014), 2014, : 35 - 40
  • [36] PERSONNEL SELECTION BASED ON A NOVEL MODEL OF GAME THEORY AND MCDM APPROACHES
    Hashemkhani Zolfani, Sarfaraz
    Banihashemi, Saeed Seyed Agha
    8TH INTERNATIONAL SCIENTIFIC CONFERENCE BUSINESS AND MANAGEMENT 2014, 2014, : 191 - 198
  • [37] Green Supplier Selection Under Cloud Manufacturing Environment: A Hybrid MCDM Model
    Li, Dan-Ping
    Xie, Li
    Cheng, Peng-Fei
    Zhou, Xiang-Hong
    Fu, Cheng-Xun
    SAGE OPEN, 2021, 11 (04):
  • [38] Strategies for Promoting Tourism Competitiveness Using a Hybrid MCDM Model
    Peng, Kua-Hsin
    Tzeng, Gwo-Hshiung
    INTELLIGENT DECISION TECHNOLOGIES (IDT'2012), VOL 2, 2012, 16 : 107 - 115
  • [39] Analysis of Factors Influencing Miners' Unsafe Behaviors in Intelligent Mines using a Novel Hybrid MCDM Model
    Wang, Xinping
    Zhang, Cheng
    Deng, Jun
    Su, Chang
    Gao, Zhenzhe
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (12)
  • [40] CAD/CAM System Selection: A Multi-Component Hybrid Fuzzy MCDM Model
    V. Roshanaei
    Behnam Vahdani
    S. M. Mousavi
    M. Mousakhani
    G. Zhang
    Arabian Journal for Science and Engineering, 2013, 38 : 2579 - 2594