Vehicle selection for public transportation using an integrated multi criteria decision making approach: A case of Ankara

In this paper, we consider the problem of bus selection for public transportation using a hybrid multicriteria decision making approach. The problem includes several conflicting factors which are economic, social, and technological factors. The integrated approach brings the flexibility of fuzzy AHP and simplicity of fuzzy VIKOR methodology together. To demonstrate the applicability of the methodology, a case study for Ankara, the capital city of Turkey, is given. A four levels hierarchy is established, and three experts are utilized for assessing the pairwise comparison matrices. The weights of the criteria are determined by fuzzy AHP and then the alternatives are ranked by fuzzy VIKOR. A sensitivity analysis is also made to see how sensitive our decision to the changes in parameters of methodology is. Buckley's fuzzy approach is finally implemented to problem and the obtained results are compared.

[1]  Kenji Morita,et al.  Automotive power source in 21st century , 2003 .

[2]  W. Pedrycz,et al.  A fuzzy extension of Saaty's priority theory , 1983 .

[3]  Georg Erdmann,et al.  Dynamic effects on the acceptance of hydrogen technologies—an international comparison , 2008 .

[4]  John K. Dagsvik,et al.  Potential demand for alternative fuel vehicles , 2002 .

[5]  S. Mourato,et al.  Analysing awareness and acceptability of hydrogen vehicles: A London case study , 2005 .

[6]  David J. Hart,et al.  Greening London's black cabs: a study of driver's preferences for fuel cell taxis , 2004 .

[7]  D. Sperling,et al.  Demand for Electric Vehicles in Hybrid Households: An Exploratory Analysis , 1994 .

[8]  Cengiz Kahraman,et al.  Multiattribute Supplier Selection Using Fuzzy Analytic Hierarchy Process , 2010, Int. J. Comput. Intell. Syst..

[9]  Stefan Lindhard Mabit,et al.  Demand for alternative-fuel vehicles when registration taxes are high , 2011 .

[10]  James J. Winebrake,et al.  The future of hydrogen fueling systems for transportation: An application of perspective-based scenario analysis using the analytic hierarchy process , 2003 .

[11]  Manfred Fischedick,et al.  Public attitudes towards and demand for hydrogen and fuel cell vehicles: A review of the evidence and methodological implications , 2010 .

[12]  Cengiz Kahraman,et al.  Multiattribute Supplier Selection Using Fuzzy Analytic Hierarchy Process , 2010 .

[13]  Gwo-Hshiung Tzeng,et al.  Extended VIKOR method in comparison with outranking methods , 2007, Eur. J. Oper. Res..

[14]  Cengiz Kahraman,et al.  Selection among ERP outsourcing alternatives using a fuzzy multi-criteria decision making methodology , 2010 .

[15]  B. Vahdani,et al.  Two novel FMCDM methods for alternative-fuel buses selection , 2011 .

[16]  Wei Wang,et al.  Risk and confidence analysis for fuzzy multicriteria decision making , 2006, Knowl. Based Syst..

[17]  Kong Deyang,et al.  Market Forecasting Modeling Study for New Energy Vehicle Based on AHP and Logit Regression , 2009 .

[18]  J. Buckley,et al.  Fuzzy hierarchical analysis , 1999, FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315).

[19]  Thomas F. Golob,et al.  A Transactions Choice Model for Forecasting Demand for Alternative-Fuel Vehicles , 1996 .

[20]  Camilla Kazimi,et al.  Evaluating the Environmental Impact of Alternative-Fuel Vehicles , 1997 .

[21]  Serhat AYDIN,et al.  Evaluation of E-commerce Website Quality Using Fuzzy Multi-criteria Decision Making Approach , 2022 .

[22]  Cengiz Kahraman,et al.  Multicriteria renewable energy planning using an integrated fuzzy VIKOR & AHP methodology: The case of Istanbul , 2010 .

[23]  Cengiz Kahraman,et al.  Renewable Energy System Selection Based On Computing with Words , 2010, Int. J. Comput. Intell. Syst..

[24]  Cheng-Wei Lin,et al.  Multi-criteria analysis of alternative-fuel buses for public transportation , 2005 .

[25]  Richard de Neufville,et al.  Life cycle model of alternative fuel vehicles: emissions, energy, and cost trade-offs , 2001 .

[26]  Gwo-Hshiung Tzeng,et al.  Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS , 2004, Eur. J. Oper. Res..

[27]  Yong Zhang,et al.  Analyzing public awareness and acceptance of alternative fuel vehicles in China: The case of EV , 2011 .

[28]  Selcuk Cebi,et al.  A comparative analysis for multiattribute selection among renewable energy alternatives using fuzzy axiomatic design and fuzzy analytic hierarchy process , 2009 .

[29]  C. Erdem,et al.  Identifying the factors affecting the willingness to pay for fuel-efficient vehicles in Turkey: A case of hybrids , 2010 .

[30]  D. Chang Applications of the extent analysis method on fuzzy AHP , 1996 .

[31]  Yeonbae Kim,et al.  A forecast of household ownership and use of alternative fuel vehicles: A multiple discrete-continuous choice approach , 2008 .

[32]  Nigel J. Smith,et al.  Application of a fuzzy based decision making methodology to construction project risk assessment , 2007 .

[33]  Venkat Venkatasubramanian,et al.  An optimization framework for cost effective design of refueling station infrastructure for alternative fuel vehicles , 2011, Comput. Chem. Eng..

[34]  Thomas S Turrentine,et al.  Symbolism and the Adoption of Fuel-Cell Vehicles , 2007 .