IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v9y2021i21p2668-d661696.html
   My bibliography  Save this article

An Intuitionistic Fuzzy Approach for Smart City Development Evaluation for Developing Countries: Moroccan Context

Author

Listed:
  • Mohamed Hanine

    (Department of Telecommunications, Networks, and Informatics, LTI Laboratory, ENSA, Chouaib Doukkali University, El Jadida 24000, Morocco)

  • Omar Boutkhoum

    (Department of Computer Science, Faculty of Sciences, Chouaib Doukkali University, El Jadida 24000, Morocco)

  • Fatima El Barakaz

    (Department of Computer Science, Faculty of Sciences, Chouaib Doukkali University, El Jadida 24000, Morocco)

  • Mohamed Lachgar

    (Department of Telecommunications, Networks, and Informatics, LTI Laboratory, ENSA, Chouaib Doukkali University, El Jadida 24000, Morocco)

  • Noureddine Assad

    (Department of Telecommunications, Networks, and Informatics, LTI Laboratory, ENSA, Chouaib Doukkali University, El Jadida 24000, Morocco)

  • Furqan Rustam

    (Department of Computer Science, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, Punjab 64200, Pakistan)

  • Imran Ashraf

    (Department of Information and Communication Engineering, Yeungnam University, Gyeongsan 38541, Korea)

Abstract

Rapid urbanization to meet the needs of the growing population has led to several challenges such as pollution, increased and congested traffic, poor sustainability, and impact on the ecological environment. The conception of smart cities comprising intelligent convergence systems has been regarded as a potential solution to overcome these problems. Based on the information, communications, and technology (ICT), the idea of a smart city has emerged to decrease the impact of rapid urbanization. In this context, important efforts have been made for making cities smarter and more sustainable. However, the challenges associated with the implementation and evaluation of smart cities in developing countries are not examined appropriately, particularly in the Moroccan context. To analyze the efficacy and success of such efforts, the evaluation and comparisons using common frameworks are significantly important. For this purpose, the present research aims to investigate and evaluate the most influential dimensions and criteria for smart city development (SCD) in the Moroccan context. To reach this goal, this study proposes a new integrated Multi-Criteria Decision-Making (MCDM) model based on Intuitionistic Fuzzy Analytical Hierarchy Process (IF-AHP) and Intuitionistic Fuzzy Decision-Making Trial and Evaluation Laboratory (IF-DEMATEL). In the given context, the IF-AHP is employed to analyze the structure of the problem and calculate the weights of the qualitative and quantitative dimensions/criteria by incorporating the uncertainty values provided by the experts. Later, IF-DEMATEL is used to construct the structural correlation of dimensions/criteria in MCDM. The use of intuitionistic fuzzy set theory helps in dealing with the linguistic imprecision and the ambiguity of experts’ judgment. Results reveal that ‘Smart Living and Governance’ and ‘Smart Economy’ are major dimensions impacting the SCD in the Moroccan context. The proposed model focuses on enhancing the understanding of different dimensions/criteria and situations in smart cities compared to traditional cities and elevates their decision-making capability. Moreover, the results are discussed, as are the managerial implications, conclusions, limitations, and potential opportunities.

Suggested Citation

  • Mohamed Hanine & Omar Boutkhoum & Fatima El Barakaz & Mohamed Lachgar & Noureddine Assad & Furqan Rustam & Imran Ashraf, 2021. "An Intuitionistic Fuzzy Approach for Smart City Development Evaluation for Developing Countries: Moroccan Context," Mathematics, MDPI, vol. 9(21), pages 1-22, October.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:21:p:2668-:d:661696
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/9/21/2668/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/9/21/2668/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pingtao Yi & Weiwei Li & Lingyu Li, 2018. "Evaluation and Prediction of City Sustainability Using MCDM and Stochastic Simulation Methods," Sustainability, MDPI, vol. 10(10), pages 1-15, October.
    2. Jesse M. Shapiro, 2006. "Smart Cities: Quality of Life, Productivity, and the Growth Effects of Human Capital," The Review of Economics and Statistics, MIT Press, vol. 88(2), pages 324-335, May.
    3. Yigitcanlar, Tan & Kamruzzaman, Md., 2018. "Does smart city policy lead to sustainability of cities?," Land Use Policy, Elsevier, vol. 73(C), pages 49-58.
    4. Saaty, Thomas L. & Shih, Hsu-Shih, 2009. "Structures in decision making: On the subjective geometry of hierarchies and networks," European Journal of Operational Research, Elsevier, vol. 199(3), pages 867-872, December.
    5. Katal, Fatemeh & Fazelpour, Farivar, 2018. "Multi-criteria evaluation and priority analysis of different types of existing power plants in Iran: An optimized energy planning system," Renewable Energy, Elsevier, vol. 120(C), pages 163-177.
    6. Robert G. Hollands, 2008. "Will the real smart city please stand up?," City, Taylor & Francis Journals, vol. 12(3), pages 303-320, December.
    7. Qingyong Wang & Hong-Ning Dai & Hao Wang, 2017. "A Smart MCDM Framework to Evaluate the Impact of Air Pollution on City Sustainability: A Case Study from China," Sustainability, MDPI, vol. 9(6), pages 1-17, May.
    8. Paroutis, Sotirios & Bennett, Mark & Heracleous, Loizos, 2014. "A strategic view on smart city technology: The case of IBM Smarter Cities during a recession," Technological Forecasting and Social Change, Elsevier, vol. 89(C), pages 262-272.
    9. Ola Söderström & Till Paasche & Francisco Klauser, 2014. "Smart cities as corporate storytelling," City, Taylor & Francis Journals, vol. 18(3), pages 307-320, June.
    10. Liu, Hua-Wen & Wang, Guo-Jun, 2007. "Multi-criteria decision-making methods based on intuitionistic fuzzy sets," European Journal of Operational Research, Elsevier, vol. 179(1), pages 220-233, May.
    11. Tuba Bakıcı & Esteve Almirall & Jonathan Wareham, 2013. "A Smart City Initiative: the Case of Barcelona," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 4(2), pages 135-148, June.
    12. Samuel De Alencar Bezerra & Francisco Jackson dos Santos & Plácido Rogerio Pinheiro & Fábio Rocha Barbosa, 2017. "Dynamic Evaluation of the Energy Efficiency of Environments in Brazilian University Classrooms Using DEA," Sustainability, MDPI, vol. 9(12), pages 1-14, December.
    13. Junwei Gan & Li Luo, 2017. "Using DEMATEL and Intuitionistic Fuzzy Sets to Identify Critical Factors Influencing the Recycling Rate of End-Of-Life Vehicles in China," Sustainability, MDPI, vol. 9(10), pages 1-22, October.
    14. Alice Rondini & Alexandra Lagorio & Roberto Pinto & Giuditta Pezzotta, 2018. "A multi-criteria decision making approach for prioritising product-service systems implementation in smart cities," International Journal of Management and Decision Making, Inderscience Enterprises Ltd, vol. 17(4), pages 415-446.
    15. Lazaroiu, George Cristian & Roscia, Mariacristina, 2012. "Definition methodology for the smart cities model," Energy, Elsevier, vol. 47(1), pages 326-332.
    16. Vito Albino & Umberto Berardi & Rosa Maria Dangelico, 2015. "Smart Cities: Definitions, Dimensions, Performance, and Initiatives," Journal of Urban Technology, Taylor & Francis Journals, vol. 22(1), pages 3-21, January.
    17. Mosannenzadeh, Farnaz & Di Nucci, Maria Rosaria & Vettorato, Daniele, 2017. "Identifying and prioritizing barriers to implementation of smart energy city projects in Europe: An empirical approach," Energy Policy, Elsevier, vol. 105(C), pages 191-201.
    18. Amin Vafadar Nikjoo & Mahdi Saeedpoor, 2014. "An intuitionistic fuzzy DEMATEL methodology for prioritising the components of SWOT matrix in the Iranian insurance industry," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 20(4), pages 439-452.
    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. Hanwei Liu & Wenchao Li & Huiling Cai & Qingcheng Lin & Xuefeng Li & Hui Xiao, 2022. "Research on Location Selection Model of 5G Micro Base Station Based on Smart Street Lighting System," Mathematics, MDPI, vol. 10(15), pages 1-15, July.
    2. Huiping Chen, 2023. "Evaluation of Schools of University and Analysis of Obstacle Factors under the Background of High-Quality Development," Sustainability, MDPI, vol. 15(4), pages 1-14, February.
    3. Miguel Angel Ortíz-Barrios & Matias Garcia-Constantino & Chris Nugent & Isaac Alfaro-Sarmiento, 2022. "A Novel Integration of IF-DEMATEL and TOPSIS for the Classifier Selection Problem in Assistive Technology Adoption for People with Dementia," IJERPH, MDPI, vol. 19(3), pages 1-31, January.

    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. Johannes Stübinger & Lucas Schneider, 2020. "Understanding Smart City—A Data-Driven Literature Review," Sustainability, MDPI, vol. 12(20), pages 1-23, October.
    2. Parul Gupta & Sumedha Chauhan & M. P. Jaiswal, 2019. "Classification of Smart City Research - a Descriptive Literature Review and Future Research Agenda," Information Systems Frontiers, Springer, vol. 21(3), pages 661-685, June.
    3. Schiavone, Francesco & Paolone, Francesco & Mancini, Daniela, 2019. "Business model innovation for urban smartization," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 210-219.
    4. van den Buuse, Daniel & Kolk, Ans, 2019. "An exploration of smart city approaches by international ICT firms," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 220-234.
    5. Alan-Miguel Valdez & Matthew Cook & Stephen Potter, 2018. "Roadmaps to utopia: Tales of the smart city," Urban Studies, Urban Studies Journal Limited, vol. 55(15), pages 3385-3403, November.
    6. Mora, Luca & Deakin, Mark & Reid, Alasdair, 2019. "Combining co-citation clustering and text-based analysis to reveal the main development paths of smart cities," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 56-69.
    7. Karimikia, Hadi & Bradshaw, Robert & Singh, Harminder & Ojo, Adegboyega & Donnellan, Brian & Guerin, Michael, 2022. "An emergent taxonomy of boundary spanning in the smart city context – The case of smart Dublin," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    8. Camboim, Guilherme Freitas & Zawislak, Paulo Antônio & Pufal, Nathália Amarante, 2019. "Driving elements to make cities smarter: Evidences from European projects," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 154-167.
    9. Mora, Luca & Deakin, Mark & Reid, Alasdair, 2019. "Strategic principles for smart city development: A multiple case study analysis of European best practices," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 70-97.
    10. Li Zhao & Zhi-ying Tang & Xin Zou, 2019. "Mapping the Knowledge Domain of Smart-City Research: A Bibliometric and Scientometric Analysis," Sustainability, MDPI, vol. 11(23), pages 1-28, November.
    11. Wang, Mengmeng & Zhou, Tao & Wang, Di, 2020. "Tracking the evolution processes of smart cities in China by assessing performance and efficiency," Technology in Society, Elsevier, vol. 63(C).
    12. Renata Biadacz & Marek Biadacz, 2021. "Implementation of “Smart” Solutions and An Attempt to Measure Them: A Case Study of Czestochowa, Poland," Energies, MDPI, vol. 14(18), pages 1-28, September.
    13. Margarida Rodrigues & Mário Franco, 2018. "Measuring the Performance in Creative Cities: Proposal of a Multidimensional Model," Sustainability, MDPI, vol. 10(11), pages 1-21, November.
    14. Nilssen, Maja, 2019. "To the smart city and beyond? Developing a typology of smart urban innovation," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 98-104.
    15. Guido Perboli & Mariangela Rosano, 2020. "A Taxonomic Analysis of Smart City Projects in North America and Europe," Sustainability, MDPI, vol. 12(18), pages 1-23, September.
    16. Kummitha, Rama Krishna Reddy, 2018. "Entrepreneurial urbanism and technological panacea: Why Smart City planning needs to go beyond corporate visioning?," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 330-339.
    17. Justyna Żywiołek & Francesco Schiavone, 2021. "Perception of the Quality of Smart City Solutions as a Sense of Residents’ Safety," Energies, MDPI, vol. 14(17), pages 1-16, September.
    18. O’Dwyer, Edward & Pan, Indranil & Acha, Salvador & Shah, Nilay, 2019. "Smart energy systems for sustainable smart cities: Current developments, trends and future directions," Applied Energy, Elsevier, vol. 237(C), pages 581-597.
    19. Seunghwan Myeong & Yuseok Jung & Eunuk Lee, 2018. "A Study on Determinant Factors in Smart City Development: An Analytic Hierarchy Process Analysis," Sustainability, MDPI, vol. 10(8), pages 1-17, July.
    20. Phanaranan Sontiwanich & Chantinee Boonchai & Robert J. S. Beeton, 2022. "An Unsustainable Smart City: Lessons from Uneven Citizen Education and Engagement in Thailand," Sustainability, MDPI, vol. 14(20), pages 1-16, October.

    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:gam:jmathe:v:9:y:2021:i:21:p:2668-:d:661696. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.