IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-19-1449-2_12.html
   My bibliography  Save this book chapter

An Integrated Proximity Indexed Value and q-Rung Orthopair Fuzzy Decision-Making Model for Prioritization of Green Campus Transportation

In: q-Rung Orthopair Fuzzy Sets

Author

Listed:
  • Muhammet Deveci

    (Turkish Naval Academy, National Defence University, Department of Industrial Engineering
    Royal School of Mines, Imperial College London)

  • Ilgin Gokasar

    (Bogazici University, Department of Civil Engineering)

  • Dragan Pamucar

    (University of Defence in Belgrade, Department of Logistics, Military Academy)

  • Sanjib Biswas

    (Decision Sciences and Operations Management, Calcutta Business School)

  • Vladimir Simic

    (University of Belgrade, Faculty of Transport and Traffic Engineering)

Abstract

Global warming and air pollution are two of the most severe problems faced by humanity in recent years. Greenhouse gas (GHG) emissions caused by vehicles make up for a sizeable portion of the cause of these problems. To mitigate the effects of vehicles on air pollution and global warming, sustainable and environmentally friendly measures are to be taken. Therefore, authorities of many institutions have looked for alternative sustainable transportation systems to implement. In this study, four different alternatives are presented, which aim to provide sustainable and green university campuses by implementing alternative transportation systems. Presented alternatives are, namely, optimizing the performance of current shuttle operations, converting current shuttles into electric vehicles, implementing bicycle, scooter sharing, and implementing carpooling of the vehicles used in the campus. These alternatives are then assessed by the experts according to 10 criteria, which are grouped under 4 main criteria aspects, which are cost aspect, technical aspect, operational aspect, and health and environmental aspect. We aim to propose an extension of the Proximity Indexed Value (PIV) method in q-Rung Orthopair (q-ROF). q-ROF PIV method is combined with a new algorithm for determining the weight coefficients of the criteria, which is based on the application of a logarithmic additive function to define the relationship between the criteria. A case study can illustrate the formula and solution to the problem. As the assessments of the experts are gathered and analyzed, the advantage prioritization of the alternatives shows that converting current shuttles into electric vehicles is the most advantageous alternative.

Suggested Citation

  • Muhammet Deveci & Ilgin Gokasar & Dragan Pamucar & Sanjib Biswas & Vladimir Simic, 2022. "An Integrated Proximity Indexed Value and q-Rung Orthopair Fuzzy Decision-Making Model for Prioritization of Green Campus Transportation," Springer Books, in: Harish Garg (ed.), q-Rung Orthopair Fuzzy Sets, chapter 0, pages 303-332, Springer.
    • Handle: RePEc:spr:sprchp:978-981-19-1449-2_12
    DOI: 10.1007/978-981-19-1449-2_12
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:sprchp:978-981-19-1449-2_12. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.