IDEAS home Printed from https://ideas.repec.org/a/anm/alpnmr/v10y2022i2p197-222.html
   My bibliography  Save this article

Investigation of Smart City Components by AHP-BWM-FUCOM and DEMATEL Methods

Author

Listed:
  • Emre Ekin
  • L. Sinem Sarul

Abstract

The concept of a smart city has emerged with the development of technology in the 21st century, based on the ideal city concept introduced in the 19th century. Increasing number of people move from rural to urban cities with the rapid increase in the world population. As a result of this, smart city concept become more important all over the world. Smart city components which makes a city turn out to a smart city is investigated in the literature very widely. Although over forty smart city components can be counted in the literature, the main six elements which are smart economy, smart people, smart governance, smart mobility, smart environment and smart living are mostly included in the studies. In this study, these six main smart city components is weighted by one of the most widely used MCDM techniques AHP, DEMATEL and more recently developed techniques BWM and FUCOM. According to the results of analysis, Smart Governance is the most important criteria according to the AHP, BWM and FUCOM methods, while Smart Economy is the most important criteria according to the DEMATEL method. At the same time, Smart people are the least important factor according to the AHP, BWM and FUCOM methods, while Smart Governance is the least important factor according to the DEMATEL.

Suggested Citation

  • Emre Ekin & L. Sinem Sarul, 2022. "Investigation of Smart City Components by AHP-BWM-FUCOM and DEMATEL Methods," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 10(2), pages 197-222, December.
  • Handle: RePEc:anm:alpnmr:v:10:y:2022:i:2:p:197-222
    DOI: https://doi.org/10.17093/alphanumeric.1210018
    as

    Download full text from publisher

    File URL: https://www.alphanumericjournal.com/media/Issue/volume-10-issue-2-2022/investigation-of-smart-city-components-by-ahp-bwm-fucom-and_RwvX0fX.pdf
    Download Restriction: no

    File URL: https://alphanumericjournal.com/article/investigation-of-smart-city-components-by-ahp-bwm-fucom-and-dematel-methods
    Download Restriction: no

    File URL: https://libkey.io/https://doi.org/10.17093/alphanumeric.1210018?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
    ---><---

    References listed on IDEAS

    as
    1. Rezaei, Jafar, 2016. "Best-worst multi-criteria decision-making method: Some properties and a linear model," Omega, Elsevier, vol. 64(C), pages 126-130.
    2. Rezaei, Jafar, 2015. "Best-worst multi-criteria decision-making method," Omega, Elsevier, vol. 53(C), pages 49-57.
    Full references (including those not matched with items on IDEAS)

    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. Elkadeem, M.R. & Younes, Ali & Sharshir, Swellam W. & Campana, Pietro Elia & Wang, Shaorong, 2021. "Sustainable siting and design optimization of hybrid renewable energy system: A geospatial multi-criteria analysis," Applied Energy, Elsevier, vol. 295(C).
    2. Kannan, Devika, 2021. "Sustainable procurement drivers for extended multi-tier context: A multi-theoretical perspective in the Danish supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 146(C).
    3. James J. H. Liou & Perry C. Y. Liu & Huai-Wei Lo, 2020. "A Failure Mode Assessment Model Based on Neutrosophic Logic for Switched-Mode Power Supply Risk Analysis," Mathematics, MDPI, vol. 8(12), pages 1-19, December.
    4. Junnan Wu & Xin Liu & Dianqi Pan & Yichen Zhang & Jiquan Zhang & Kai Ke, 2023. "Research on Safety Evaluation of Municipal Sewage Treatment Plant Based on Improved Best-Worst Method and Fuzzy Comprehensive Method," Sustainability, MDPI, vol. 15(11), pages 1-15, May.
    5. Liang, Fuqi & Brunelli, Matteo & Rezaei, Jafar, 2020. "Consistency issues in the best worst method: Measurements and thresholds," Omega, Elsevier, vol. 96(C).
    6. Pushparenu Bhattacharjee & Syed Abou Iltaf Hussain & V. Dey & U. K. Mandal, 2023. "Failure mode and effects analysis for submersible pump component using proportionate risk assessment model: a case study in the power plant of Agartala," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(5), pages 1778-1798, October.
    7. Salimi, Negin & Rezaei, Jafar, 2018. "Evaluating firms’ R&D performance using best worst method," Evaluation and Program Planning, Elsevier, vol. 66(C), pages 147-155.
    8. Yuanxin Liu & FengYun Li & Yi Wang & Xinhua Yu & Jiahai Yuan & Yuwei Wang, 2018. "Assessing the Environmental Impact Caused by Power Grid Projects in High Altitude Areas Based on BWM and Vague Sets Techniques," Sustainability, MDPI, vol. 10(6), pages 1-20, May.
    9. Jairo Ortega & Sarbast Moslem & Juan Palaguachi & Martin Ortega & Tiziana Campisi & Vincenza Torrisi, 2021. "An Integrated Multi Criteria Decision Making Model for Evaluating Park-and-Ride Facility Location Issue: A Case Study for Cuenca City in Ecuador," Sustainability, MDPI, vol. 13(13), pages 1-16, July.
    10. Ravindra Singh Saluja & Varinder Singh, 2023. "Attribute-based characterization, coding, and selection of joining processes using a novel MADM approach," OPSEARCH, Springer;Operational Research Society of India, vol. 60(2), pages 616-655, June.
    11. Dehnavi, Morteza Narimani & Yazdian, Seyed Ahmad & Sadjadi, Seyed Jafar, 2023. "Evaluating effective criteria on customer satisfaction using the best-worst method and optimizing resource allocation, case study Iran aseman airlines," Journal of Air Transport Management, Elsevier, vol. 109(C).
    12. Amin Vafadarnikjoo & Madjid Tavana & Tiago Botelho & Konstantinos Chalvatzis, 2020. "A neutrosophic enhanced best–worst method for considering decision-makers’ confidence in the best and worst criteria," Annals of Operations Research, Springer, vol. 289(2), pages 391-418, June.
    13. Ghadimi, Pezhman & Donnelly, Oisin & Sar, Kubra & Wang, Chao & Azadnia, Amir Hossein, 2022. "The successful implementation of industry 4.0 in manufacturing: An analysis and prioritization of risks in Irish industry," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    14. Mohammad Khalilzadeh & Laleh Katoueizadeh & Edmundas Kazimieras Zavadskas, 2020. "Risk identification and prioritization in banking projects of payment service provider companies: an empirical study," Frontiers of Business Research in China, Springer, vol. 14(1), pages 1-27, December.
    15. Junli Zhang & Guoteng Wang & Zheng Xu & Zheren Zhang, 2022. "A Comprehensive Evaluation Method and Strengthening Measures for AC/DC Hybrid Power Grids," Energies, MDPI, vol. 15(12), pages 1-20, June.
    16. Hamzeh Soltanali & Mehdi Khojastehpour & Siamak Kheybari, 2023. "Evaluating the critical success factors for maintenance management in agro-industries using multi-criteria decision-making techniques," Operations Management Research, Springer, vol. 16(2), pages 949-968, June.
    17. Yossi Hadad & Baruch Keren & Dima Alberg, 2023. "An Expert System for Ranking and Matching Electric Vehicles to Customer Specifications and Requirements," Energies, MDPI, vol. 16(11), pages 1-18, May.
    18. Penjani Hopkins Nyimbili & Turan Erden, 2021. "Comparative evaluation of GIS-based best–worst method (BWM) for emergency facility planning: perspectives from two decision-maker groups," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 105(1), pages 1031-1067, January.
    19. van de Kaa, Geerten & van Ek, Martijn & Kamp, Linda M. & Rezaei, Jafar, 2020. "Wind turbine technology battles: Gearbox versus direct drive - opening up the black box of technology characteristics," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    20. Vieira, Fabiana C. & Ferreira, Fernando A.F. & Govindan, Kannan & Ferreira, Neuza C.M.Q.F. & Banaitis, Audrius, 2022. "Measuring urban digitalization using cognitive mapping and the best worst method (BWM)," Technology in Society, Elsevier, vol. 71(C).

    More about this item

    Keywords

    AHP; BWM; Criteria Weighting; DEMATEL; FUCOM; Smart City; Smart City Components;
    All these keywords.

    JEL classification:

    • C46 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Specific Distributions

    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:anm:alpnmr:v:10:y:2022:i:2:p:197-222. 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: Bahadir Fatih Yildirim (email available below). General contact details of provider: https://www.alphanumericjournal.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.