Intermodal Transport Terminal Location Selection Using a Novel Hybrid MCDM Model

被引:29
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 60 条
[1]  
[Anonymous], 14 WORLD C EARTHQ EN
[2]  
Arzhang, 2014, OMAN CHAPTER ARABIAN, V3, P17, DOI [10.12816/0016485, DOI 10.12816/0016485]
[3]  
Awad-Nunez S., 2014, Procedia Soc. Behav. Sci, V162, P42, DOI [10.1016/j.sbspro.2014.12.184, DOI 10.1016/J.SBSPRO.2014.12.184]
[4]   A multi-criteria decision making approach for location planning for urban distribution centers under uncertainty [J].
Awasthi, Anjali ;
Chauhan, S. S. ;
Goyal, S. K. .
MATHEMATICAL AND COMPUTER MODELLING, 2011, 53 (1-2) :98-109
[5]   Evaluation of software development projects using a fuzzy multi-criteria decision approach [J].
Buyukozkan, Gulcin ;
Ruan, Da .
MATHEMATICS AND COMPUTERS IN SIMULATION, 2008, 77 (5-6) :464-475
[6]   A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers [J].
Buyukozkan, Gulcin ;
Cifci, Gizem .
EXPERT SYSTEMS WITH APPLICATIONS, 2012, 39 (03) :3000-3011
[7]   Decision support in intermodal transport: A new research agenda [J].
Caris, An ;
Macharis, Cathy ;
Janssens, Gerrit K. .
COMPUTERS IN INDUSTRY, 2013, 64 (02) :105-112
[8]   Fuzzy VIKOR method: A case study of the hospital service evaluation in Taiwan [J].
Chang, Tsung-Han .
INFORMATION SCIENCES, 2014, 271 :196-212
[9]   Best routes selection in international intermodal networks [J].
Chang, Tsung-Sheng .
COMPUTERS & OPERATIONS RESEARCH, 2008, 35 (09) :2877-2891
[10]  
Chi SC, 2001, JOINT 9TH IFSA WORLD CONGRESS AND 20TH NAFIPS INTERNATIONAL CONFERENCE, PROCEEDINGS, VOLS. 1-5, P1312, DOI 10.1109/NAFIPS.2001.943737