Evaluation of freight villages: A GIS-based multi-criteria decision analysis

Potential freight villages in Ankara are evaluated.A GIS-based multi-criteria decision making approach is applied.ANP-TOPSIS combination is used.13 geographic criteria are considered.Best location is selected among 20 alternatives. The development of freight villages in a given region is often viewed as a popular project in the development of a particular country's logistic plans. However, the evaluation of a freight village location among the various alternatives is a multi-criteria decision making (MCDM) problem including both quantitative and qualitative criteria. Obtaining relevant geographic data is another problem for the evaluation of freight village locations. In this study, a geographic information system (GIS)-based MCDM model is proposed to evaluate potential locations for freight villages. The proposed model consists of four sequential phases. In the first phase, different geographic criteria are determined from existing literature, and data are gathered using GIS. By criteria weights equally, alternative locations are determined through GIS in the second phase. In the third phase, identified criteria are weighted using analytical network process (ANP) method by various stakeholders of potential freight villages. In the fourth phase, the "Technique for Order Preference by Similarity to Ideal Solution (TOPSIS)" method is applied in order to determine the best alternative based on the weighted criteria. Using real data from the city of Ankara, Turkey, we test the applicability of our evaluation approach and compare the best alternative obtained by the proposed method with the current freight village (CFV) location in Ankara.

[1]  José A. Malpica,et al.  Dempster-Shafer Theory in geographic information systems: A survey , 2007, Expert Syst. Appl..

[2]  Bahar Özyörük,et al.  The importance of freight villages: An implementation in TCDD , 2015 .

[3]  Nam Seok Kim,et al.  The relative importance of factors that influence the break-even distance of intermodal freight transport systems , 2011 .

[4]  Yasanur Kayikci,et al.  A conceptual model for intermodal freight logistics centre location decisions , 2010 .

[5]  Maro Vlachopoulou,et al.  Geographic information systems in warehouse site selection decisions , 2001 .

[6]  George Mavrotas,et al.  Freight village design using the multicriteria method PROMETHEE , 2007, Oper. Res..

[7]  J. W. Konings,et al.  INTEGRATED CENTRES FOR THE TRANSSHIPMENT, STORAGE, COLLECTION AND DISTRIBUTION OF GOODS: A SURVEY OF THE POSSIBILITIES FOR A HIGH- QUALITY INTERMODAL TRANSPORT CONCEPT. , 1996 .

[8]  M. Janić.  Modelling the full costs of an intermodal and road freight transport network , 2007 .

[9]  Kwazulu-Natal. Colonial Office.  Statistical year book , 2012 .

[10]  Jonas Tornberg,et al.  Evaluating Locations for Intermodal Transport Terminals , 2008 .

[11]  Jacek Malczewski,et al.  GIS‐based multicriteria decision analysis: a survey of the literature , 2006, Int. J. Geogr. Inf. Sci..

[12]  Thomas L. Saaty,et al.  Decision making with dependence and feedback : the analytic network process : the organization and prioritization of complexity , 1996 .

[13]  S. K. Goyal,et al.  A multi-criteria decision making approach for location planning for urban distribution centers under uncertainty , 2011, Math. Comput. Model..

[14]  V. K. Bansal,et al.  Application of geographic information systems in construction safety planning , 2011 .

[15]  Dimitrios A Tsamboulas,et al.  Freight village evaluation under uncertainty with public and private financing , 2003 .

[16]  Francesco Paolo Deflorio,et al.  Wireless sensor networks for traffic monitoring in a logistic centre , 2013 .

[17]  Terje Andreas Mathisen,et al.  The Academic Literature on Intermodal Freight Transport , 2014 .

[18]  Chih-Cheng Chen,et al.  Professional Baseball Team Starting Pitcher Selection Using AHP and TOPSIS Methods , 2014 .

[19]  Eren Özceylan.  A Decision Support System to Compare the Transportation Modes in Logistics , 2010 .

[20]  Ching-Lai Hwang,et al.  Fuzzy Multiple Attribute Decision Making - Methods and Applications , 1992, Lecture Notes in Economics and Mathematical Systems.

[21]  Dragan Marinković,et al.  The Selection of Logistic Centers Location Using Multi-Criteria Comparison: Case Study of the Balkan Peninsula , 2014, Acta Polytechnica Hungarica.

[22]  Emrah Önder,et al.  Decision-Making for Facility Location Using Vikor Method , 2013 .

[23]  Jacek Malczewski,et al.  A. GIS-Based Approach to Multiple Criteria Group Decision-Making , 1996, Int. J. Geogr. Inf. Sci..

[24]  Cathy Macharis,et al.  Assessing policy measures for the stimulation of intermodal transport: a GIS-based policy analysis , 2009 .

[25]  Metin Dağdeviren,et al.  A hybrid MCDM approach to assess the sustainability of students’ preferences for university selection , 2014 .

[26]  Khalid A. Eldrandaly.  Exploring multi-criteria decision strategies in GIS with linguistic quantifiers: an extension of the analytical network process using ordered weighted averaging operators , 2013, Int. J. Geogr. Inf. Sci..

[27]  Ali E. Akgün,et al.  The Role of Reverse Logistics in the Concept of Logistics Centers , 2014 .

[28]  Bahadır Fatih Yıldırım,et al.  Evaluating Potential Freight Villages in Istanbul Using Multi Criteria Decision Making Techniques , 2014 .

[29]  Piet Rietveld,et al.  Location Analysis Model for Belgian Intermodal Terminals: Importance of the value of time in the intermodal transport chain , 2013, Comput. Ind..

[30]  Shinya Hanaoka,et al.  Application of Analytic Hierarchy Process for Location Analysis of Logistics Centers in Laos , 2012 .

[31]  Kemal Yavuz.  Selection of Logistics Centre Location via ELECTRE Method: A Case Study in Turkey , 2014 .

[32]  Olli-Pekka Hilmola,et al.  Hinterland operations of sea ports do matter: Dry port usage effects on transportation costs and CO2 emissions , 2013 .

[33]  Cathy Macharis,et al.  A GIS–based analysis of the potential for freight villages in Turkey , 2013 .

[34]  Richard L. Church,et al.  Geographical information systems and location science , 2002, Comput. Oper. Res..

[35]  Milan Zeleny,et al.  Multiple Criteria Decision Making (MCDM) , 2004 .

[36]  Violeta Roso.  Factors influencing implementation of a dry port , 2008 .

[37]  Kaan Ozbay,et al.  Feasibility of Freight Villages in the NYMTC Region: Task 6 – Site Impact Assessment , 2011 .

[38]  Jean-Claude Thill,et al.  Geographic information systems for transportation in perspective , 2000 .

[39]  Bahadır Fatih Yıldırım,et al.  VIKOR Method for Ranking Logistic Villages in Turkey (TÜRKİYE’DEKİ LOJİSTİK KÖYLERİN VIKOR YÖNTEMİ İLE SIRALANDIRILMASI) , 2014 .

[40]  Hsing-Pei Kao,et al.  An integrated fuzzy TOPSIS and MCGP approach to supplier selection in supply chain management , 2011, Expert Syst. Appl..