IDEAS home Printed from https://ideas.repec.org/a/spr/envsyd/v43y2023i2d10.1007_s10669-022-09878-8.html
   My bibliography  Save this article

Multicriteria decision making and goal programming for determination of electric automobile aimed at sustainable green environment: a case study

Author

Listed:
  • Mustafa Hamurcu

    (Kırıkkale University)

  • Tamer Eren

    (Kırıkkale University)

Abstract

In this paper, we consider the problem of automobile selection for transportation in inner city using a hybrid multicriteria decision making approach. The electric automobiles that are a relatively new concept in the world of the automotive industry, are widely viewed as attractive among its alternatives day by day. Fuel-vehicles produce a lot of carbon emissions that are ejected into our natural atmosphere, leaving us vulnerable to things like pollution and greenhouse gases. So, electric vehicle and automobiles have emerged as a more efficient alternative and these vehicles have been a great step forward to help positively the environment with zero emissions and total energy consumption in their lifecycle. Many companies focus on electric vehicle production with the development of electric vehicle technology. Therefore, the selection process emerges among the various electric automobile technologies for the users. The selection process includes several conflicting factors which are such as economic, technical and technological factors. In the present study, we propose a hybrid approach for electric automobile selection that combines analytic hierarchy process (AHP), technique for order of preference by similarity to ideal solution (TOPSIS) and goal programming (GP) is used to determine the weights to assign to the factors that go into these selection decisions and TOPSIS method is used for preference ranking. These weights founded by AHP are inputted into a GP model to determine the best alternative among the electric automobiles. Finally, the study used three methods TOPSIS, AHP- TOPSIS and AHP-GP for better comparison and evaluation. The most suitable electric automobile is selected among their alternatives by using analytic methods and goal programming.

Suggested Citation

  • Mustafa Hamurcu & Tamer Eren, 2023. "Multicriteria decision making and goal programming for determination of electric automobile aimed at sustainable green environment: a case study," Environment Systems and Decisions, Springer, vol. 43(2), pages 211-231, June.
    • Handle: RePEc:spr:envsyd:v:43:y:2023:i:2:d:10.1007_s10669-022-09878-8
    DOI: 10.1007/s10669-022-09878-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10669-022-09878-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10669-022-09878-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Egbue, Ona & Long, Suzanna, 2012. "Barriers to widespread adoption of electric vehicles: An analysis of consumer attitudes and perceptions," Energy Policy, Elsevier, vol. 48(C), pages 717-729.
    2. A. Charnes & W. W. Cooper & R. O. Ferguson, 1955. "Optimal Estimation of Executive Compensation by Linear Programming," Management Science, INFORMS, vol. 1(2), pages 138-151, January.
    3. Mukherjee, Sanghamitra Chattopadhyay & Ryan, Lisa, 2020. "Factors influencing early battery electric vehicle adoption in Ireland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 118(C).
    4. Tamás Mizik & Gábor Gyarmati, 2021. "Economic and Sustainability of Biodiesel Production—A Systematic Literature Review," Clean Technol., MDPI, vol. 3(1), pages 1-18, January.
    5. Safari, M., 2018. "Battery electric vehicles: Looking behind to move forward," Energy Policy, Elsevier, vol. 115(C), pages 54-65.
    6. Byoungwoo Kang & Gerbrand Ceder, 2009. "Battery materials for ultrafast charging and discharging," Nature, Nature, vol. 458(7235), pages 190-193, March.
    7. Axsen, Jonn & Mountain, Dean C. & Jaccard, Mark, 2009. "Combining stated and revealed choice research to simulate the neighbor effect: The case of hybrid-electric vehicles," Institute of Transportation Studies, Working Paper Series qt02n9j6cv, Institute of Transportation Studies, UC Davis.
    8. Ziolkowska, Jadwiga R., 2014. "Optimizing biofuels production in an uncertain decision environment: Conventional vs. advanced technologies," Applied Energy, Elsevier, vol. 114(C), pages 366-376.
    9. Valeri, Eva & Danielis, Romeo, 2015. "Simulating the market penetration of cars with alternative fuelpowertrain technologies in Italy," Transport Policy, Elsevier, vol. 37(C), pages 44-56.
    10. Axsen, Jonn & Mountain, Dean C. & Jaccard, Mark, 2009. "Combining stated and revealed choice research to simulate the neighbor effect: The case of hybrid-electric vehicles," Resource and Energy Economics, Elsevier, vol. 31(3), pages 221-238, August.
    11. Liu, Hu-Chen & You, Xiao-Yue & Xue, Yi-Xi & Luan, Xue, 2017. "Exploring critical factors influencing the diffusion of electric vehicles in China: A multi-stakeholder perspective," Research in Transportation Economics, Elsevier, vol. 66(C), pages 46-58.
    12. Langbroek, Joram H.M. & Franklin, Joel P. & Susilo, Yusak O., 2016. "The effect of policy incentives on electric vehicle adoption," Energy Policy, Elsevier, vol. 94(C), pages 94-103.
    13. Dutta, Anupam & Bouri, Elie & Saeed, Tareq & Vo, Xuan Vinh, 2020. "Impact of energy sector volatility on clean energy assets," Energy, Elsevier, vol. 212(C).
    14. Graff Zivin, Joshua S. & Kotchen, Matthew J. & Mansur, Erin T., 2014. "Spatial and temporal heterogeneity of marginal emissions: Implications for electric cars and other electricity-shifting policies," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PA), pages 248-268.
    15. Tsita, Katerina G. & Pilavachi, Petros A., 2013. "Evaluation of next generation biomass derived fuels for the transport sector," Energy Policy, Elsevier, vol. 62(C), pages 443-455.
    16. Plötz, Patrick & Schneider, Uta & Globisch, Joachim & Dütschke, Elisabeth, 2014. "Who will buy electric vehicles? Identifying early adopters in Germany," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 96-109.
    17. Tsita, Katerina G. & Pilavachi, Petros A., 2012. "Evaluation of alternative fuels for the Greek road transport sector using the analytic hierarchy process," Energy Policy, Elsevier, vol. 48(C), pages 677-686.
    18. Higgins, Christopher D. & Mohamed, Moataz & Ferguson, Mark R., 2017. "Size matters: How vehicle body type affects consumer preferences for electric vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 182-201.
    19. Egnér, Filippa & Trosvik, Lina, 2018. "Electric vehicle adoption in Sweden and the impact of local policy instruments," Energy Policy, Elsevier, vol. 121(C), pages 584-596.
    20. Li, Chengjiang & Negnevitsky, Michael & Wang, Xiaolin & Yue, Wen Long & Zou, Xin, 2019. "Multi-criteria analysis of policies for implementing clean energy vehicles in China," Energy Policy, Elsevier, vol. 129(C), pages 826-840.
    21. Ecer, Fatih, 2021. "A consolidated MCDM framework for performance assessment of battery electric vehicles based on ranking strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    22. Zhou, Shan & Yang, Pu, 2020. "Risk management in distributed wind energy implementing Analytic Hierarchy Process," Renewable Energy, Elsevier, vol. 150(C), pages 616-623.
    23. Hidrue, Michael K. & Parsons, George R. & Kempton, Willett & Gardner, Meryl P., 2011. "Willingness to pay for electric vehicles and their attributes," Resource and Energy Economics, Elsevier, vol. 33(3), pages 686-705, September.
    24. Kabli, Mohannad & Quddus, Md Abdul & Nurre, Sarah G. & Marufuzzaman, Mohammad & Usher, John M., 2020. "A stochastic programming approach for electric vehicle charging station expansion plans," International Journal of Production Economics, Elsevier, vol. 220(C).
    25. Fanchao Liao & Eric Molin & Bert van Wee, 2017. "Consumer preferences for electric vehicles: a literature review," Transport Reviews, Taylor & Francis Journals, vol. 37(3), pages 252-275, May.
    26. Helveston, John Paul & Liu, Yimin & Feit, Elea McDonnell & Fuchs, Erica & Klampfl, Erica & Michalek, Jeremy J., 2015. "Will subsidies drive electric vehicle adoption? Measuring consumer preferences in the U.S. and China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 73(C), pages 96-112.
    27. Almeida Neves, Sónia & Cardoso Marques, António & Alberto Fuinhas, José, 2019. "Technological progress and other factors behind the adoption of electric vehicles: Empirical evidence for EU countries," Research in Transportation Economics, Elsevier, vol. 74(C), pages 28-39.
    28. Hu, Zheng & Yuan, Jiahai, 2018. "China’s NEV market development and its capability of enabling premium NEV: Referencing from the NEV market performance of BMW and Mercedes in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 545-555.
    29. Offer, G.J. & Howey, D. & Contestabile, M. & Clague, R. & Brandon, N.P., 2010. "Comparative analysis of battery electric, hydrogen fuel cell and hybrid vehicles in a future sustainable road transport system," Energy Policy, Elsevier, vol. 38(1), pages 24-29, January.
    30. Skippon, Stephen M. & Kinnear, Neale & Lloyd, Louise & Stannard, Jenny, 2016. "How experience of use influences mass-market drivers’ willingness to consider a battery electric vehicle: A randomised controlled trial," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 26-42.
    31. Axsen, Jonn & Bailey, Joseph & Castro, Marisol Andrea, 2015. "Preference and lifestyle heterogeneity among potential plug-in electric vehicle buyers," Energy Economics, Elsevier, vol. 50(C), pages 190-201.
    32. Zhang, Xian & Wang, Ke & Hao, Yu & Fan, Jing-Li & Wei, Yi-Ming, 2013. "The impact of government policy on preference for NEVs: The evidence from China," Energy Policy, Elsevier, vol. 61(C), pages 382-393.
    33. Özlem Kaçmaz & Haci Mehmet Alakaş & Tamer Eren, 2019. "Shift Scheduling with the Goal Programming Method: A Case Study in the Glass Industry," Mathematics, MDPI, vol. 7(6), pages 1-22, June.
    34. Paweł Ziemba, 2021. "Selection of Electric Vehicles for the Needs of Sustainable Transport under Conditions of Uncertainty—A Comparative Study on Fuzzy MCDA Methods," Energies, MDPI, vol. 14(22), pages 1-25, November.
    35. Cai, Yanpeng & Applegate, Scott & Yue, Wencong & Cai, Jianying & Wang, Xuan & Liu, Gengyuan & Li, Chunhui, 2017. "A hybrid life cycle and multi-criteria decision analysis approach for identifying sustainable development strategies of Beijing's taxi fleet," Energy Policy, Elsevier, vol. 100(C), pages 314-325.
    36. Li, Wenbo & Long, Ruyin & Chen, Hong & Geng, Jichao, 2017. "A review of factors influencing consumer intentions to adopt battery electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 318-328.
    37. Jensen, Anders Fjendbo & Mabit, Stefan Lindhard, 2017. "The use of electric vehicles: A case study on adding an electric car to a household," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 89-99.
    38. Li, Wenbo & Long, Ruyin & Chen, Hong & Yang, Tong & Geng, Jichao & Yang, Muyi, 2018. "Effects of personal carbon trading on the decision to adopt battery electric vehicles: Analysis based on a choice experiment in Jiangsu, China," Applied Energy, Elsevier, vol. 209(C), pages 478-488.
    39. Tanaka, Makoto & Ida, Takanori & Murakami, Kayo & Friedman, Lee, 2014. "Consumers’ willingness to pay for alternative fuel vehicles: A comparative discrete choice analysis between the US and Japan," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 194-209.
    40. Al-Alawi, Baha M. & Coker, Alexander D., 2018. "Multi-criteria decision support system with negotiation process for vehicle technology selection," Energy, Elsevier, vol. 157(C), pages 278-296.
    41. Irfan, Muhammad & Elavarasan, Rajvikram Madurai & Ahmad, Munir & Mohsin, Muhammad & Dagar, Vishal & Hao, Yu, 2022. "Prioritizing and overcoming biomass energy barriers: Application of AHP and G-TOPSIS approaches," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    42. Palmer, Kate & Tate, James E. & Wadud, Zia & Nellthorp, John, 2018. "Total cost of ownership and market share for hybrid and electric vehicles in the UK, US and Japan," Applied Energy, Elsevier, vol. 209(C), pages 108-119.
    43. Wang, Lei & Fu, Zhong-Lin & Guo, Wei & Liang, Ruo-Yu & Shao, Hong-Yu, 2020. "What influences sales market of new energy vehicles in China? Empirical study based on survey of consumers’ purchase reasons," Energy Policy, Elsevier, vol. 142(C).
    44. Traut, Elizabeth & Hendrickson, Chris & Klampfl, Erica & Liu, Yimin & Michalek, Jeremy J., 2012. "Optimal design and allocation of electrified vehicles and dedicated charging infrastructure for minimum life cycle greenhouse gas emissions and cost," Energy Policy, Elsevier, vol. 51(C), pages 524-534.
    45. Bubeck, Steffen & Tomaschek, Jan & Fahl, Ulrich, 2016. "Perspectives of electric mobility: Total cost of ownership of electric vehicles in Germany," Transport Policy, Elsevier, vol. 50(C), pages 63-77.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mohamed Amir Keskes & Alaeddine Zouari & Remy Houssin & Diala Dhouib & Jean Renaud, 2024. "A new multi-criteria, multi-phase, and multi-decision makers’ approach to the agricultural sustainability problem," Environment Systems and Decisions, Springer, vol. 44(2), pages 433-455, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gabriela D. Oliveira & Luis C. Dias, 2019. "Influence of Demographics on Consumer Preferences for Alternative Fuel Vehicles: A Review of Choice Modelling Studies and a Study in Portugal," Energies, MDPI, vol. 12(2), pages 1-33, January.
    2. Loría, Luis Enrique & Watson, Verity & Kiso, Takahiko & Phimister, Euan, 2019. "Investigating users' preferences for Low Emission Buses: Experiences from Europe's largest hydrogen bus fleet," Journal of choice modelling, Elsevier, vol. 32(C), pages 1-1.
    3. Peng, Ruoqing & Tang, Justin Hayse Chiwing G. & Yang, Xiong & Meng, Meng & Zhang, Jie & Zhuge, Chengxiang, 2024. "Investigating the factors influencing the electric vehicle market share: A comparative study of the European Union and United States," Applied Energy, Elsevier, vol. 355(C).
    4. Ye Yang & Zhongfu Tan, 2019. "Investigating the Influence of Consumer Behavior and Governmental Policy on the Diffusion of Electric Vehicles in Beijing, China," Sustainability, MDPI, vol. 11(24), pages 1-20, December.
    5. Ecer, Fatih, 2021. "A consolidated MCDM framework for performance assessment of battery electric vehicles based on ranking strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    6. Wang, Lei & Fu, Zhong-Lin & Guo, Wei & Liang, Ruo-Yu & Shao, Hong-Yu, 2020. "What influences sales market of new energy vehicles in China? Empirical study based on survey of consumers’ purchase reasons," Energy Policy, Elsevier, vol. 142(C).
    7. Jia, Wenjian & Chen, T. Donna, 2023. "Investigating heterogeneous preferences for plug-in electric vehicles: Policy implications from different choice models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    8. Meilinda Fitriani Nur Maghfiroh & Andante Hadi Pandyaswargo & Hiroshi Onoda, 2021. "Current Readiness Status of Electric Vehicles in Indonesia: Multistakeholder Perceptions," Sustainability, MDPI, vol. 13(23), pages 1-25, November.
    9. Huang, Youlin & Qian, Lixian & Tyfield, David & Soopramanien, Didier, 2021. "On the heterogeneity in consumer preferences for electric vehicles across generations and cities in China," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    10. Mandys, F., 2021. "Electric vehicles and consumer choices," Renewable and Sustainable Energy Reviews, Elsevier, vol. 142(C).
    11. Elnaz Abotalebi & Mark R. Ferguson & Moataz Mohamed & Darren M. Scott, 2020. "Design of a survey to assess prospects for consumer electric mobility in Canada: a retrospective appraisal," Transportation, Springer, vol. 47(3), pages 1223-1250, June.
    12. Ma, Shao-Chao & Xu, Jin-Hua & Fan, Ying, 2019. "Willingness to pay and preferences for alternative incentives to EV purchase subsidies: An empirical study in China," Energy Economics, Elsevier, vol. 81(C), pages 197-215.
    13. Song, Yongming & Li, Yanhong & Zhu, Hongli & Li, Guangxu, 2023. "A decision support model for buying battery electric vehicles considering consumer learning and psychological behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    14. Elena Higueras-Castillo & Sebastian Molinillo & J. Andres Coca-Stefaniak & Francisco Liébana-Cabanillas, 2020. "Potential Early Adopters of Hybrid and Electric Vehicles in Spain—Towards a Customer Profile," Sustainability, MDPI, vol. 12(11), pages 1-18, May.
    15. Felix Hinnüber & Marek Szarucki & Katarzyna Szopik-Depczyńska, 2019. "The Effects of a First-Time Experience on the Evaluation of Battery Electric Vehicles by Potential Consumers," Sustainability, MDPI, vol. 11(24), pages 1-25, December.
    16. Noel, Lance & Papu Carrone, Andrea & Jensen, Anders Fjendbo & Zarazua de Rubens, Gerardo & Kester, Johannes & Sovacool, Benjamin K., 2019. "Willingness to pay for electric vehicles and vehicle-to-grid applications: A Nordic choice experiment," Energy Economics, Elsevier, vol. 78(C), pages 525-534.
    17. Philip, Thara & Whitehead, Jake & Prato, Carlo G., 2023. "Adoption of electric vehicles in a laggard, car-dependent nation: Investigating the potential influence of V2G and broader energy benefits on adoption," Transportation Research Part A: Policy and Practice, Elsevier, vol. 167(C).
    18. Trotta, Gianluca & Sommer, Stephan, 2024. "The effect of changing registration taxes on electric vehicle adoption in Denmark," Transportation Research Part A: Policy and Practice, Elsevier, vol. 185(C).
    19. Yang, J. & Chen, F., 2021. "How are social-psychological factors related to consumer preferences for plug-in electric vehicles? Case studies from two cities in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    20. Eunsung Kim & Eunnyeong Heo, 2019. "Key Drivers behind the Adoption of Electric Vehicle in Korea: An Analysis of the Revealed Preferences," Sustainability, MDPI, vol. 11(23), pages 1-15, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:envsyd:v:43:y:2023:i:2:d:10.1007_s10669-022-09878-8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.