Skip to main content

Advertisement

Log in

Prioritization of strategies for a sustainable regional transportation infrastructure by hybrid spherical fuzzy group decision-making approach

  • Original Article
  • Published:
Neural Computing and Applications Aims and scope Submit manuscript

Abstract

The East African Community, inspired by successful trading blocs, has already begun major transportation strategic plans that will necessarily require large investments. Additionally, significant efforts have been made to harmonize regional transportation legislation and regulations. However, some challenges that may arise in developing such a sustainable regional transportation infrastructure should be carefully determined. In this study, a spherical fuzzy multi-criteria decision-making method is proposed. Ten criteria characterizing the challenges in the regional transportation infrastructure problem have been identified as a result of the pertaining reviewed literature and expert opinions. These criteria were used to prioritize seven strategies for sustainable regional transportation infrastructure. To address complex group decision-making issues, this study presents the integration of Weighted Aggregated Sum Product Assessment (WASPAS) with Step-Wise Weight Assessment Ratio Analysis (SWARA) in a spherical fuzzy (SF) environment. The weight and importance levels of criteria are evaluated using SF-SWARA. SF-WASPAS is then used to prioritize the strategies based on the SF-SWARA-weighted criteria. To assess the effectiveness of the proposed methodology, a sensitivity analysis is carried out, revealing that research and development (S7) and adequate institutional and regulatory framework (S4) are the most appropriate strategies for dealing with these challenges, respectively. The study offers a novel approach for regional political leaders who aim to promote progressive policy, regulatory, and economic frameworks, along with a strong human and institutional capacity for collaborative research, technology, and innovation.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

Data availability

Data will be made available upon request.

References

  1. Schaffer A, Simar L, Rauland J (2011) Decomposing regional efficiency. J Reg Sci 51(5):931–947

    Google Scholar 

  2. Schaffer A, Siegele J (2009) Efficient use of regional transport infrastructure, communication networks, and human capital. J Infrastruct Syst 15(4):263–272

    Google Scholar 

  3. Bouraima MB et al (2023) Africa’s railway renaissance and sustainability: current knowledge, challenges, and prospects. J Transp Geogr 106:103487

    Google Scholar 

  4. Pamucar D et al (2021) A novel methodology for prioritizing zero-carbon measures for sustainable transport. Sustain Prod Consump 27:1093–1112

    Google Scholar 

  5. Badi I, Bouraima M, Jibril M (2022) Risk assessment in construction projects using the grey theory. J Eng Manag Syst Eng 1(2):58–66

    Google Scholar 

  6. Bouraima MB et al (2022) Prioritization road safety strategies towards zero road traffic injury using ordinal priority approach. Oper Res Eng Sci Theory Appl 5(2):206–221

    Google Scholar 

  7. Stević Ž et al (2020) Sustainable supplier selection in healthcare industries using a new MCDM method: measurement of alternatives and ranking according to compromise solution (MARCOS). Comput Ind Eng 140:106231

    Google Scholar 

  8. Deveci M et al (2022) A decision support system for assessing and prioritizing sustainable urban transportation in metaverse. IEEE Trans Fuzzy Syst 31:475

    Google Scholar 

  9. Kiptum C et al (2022) Sustainable strategies for the successful operation of the bike-sharing system using an ordinal priority approach. J Eng Manag Syst Eng 1(2):43–50

    Google Scholar 

  10. Bouraima MB et al (2022) Evaluation of factors affecting road maintenance in Kenyan counties using the ordinal priority approach. J Comput Cognit Eng 00(00):1–6

    Google Scholar 

  11. Celik E et al (2013) An integrated novel interval type-2 fuzzy MCDM method to improve customer satisfaction in public transportation for Istanbul. Transp Res Part E Log Transp Rev 58:28–51

    Google Scholar 

  12. Qahtan S et al (2023) Performance assessment of sustainable transportation in the shipping industry using a q-rung orthopair fuzzy rough sets-based decision making methodology. Expert Syst Appl 223:119958. https://doi.org/10.1016/j.eswa.2023.119958

    Article  Google Scholar 

  13. Deveci M et al (2015) Fuzzy multi-criteria decision making for carbon dioxide geological storage in Turkey. J Nat Gas Sci Eng 27:692–705

    Google Scholar 

  14. Yazdani M et al (2020) A rough based multi-criteria evaluation method for healthcare waste disposal location decisions. Comput Ind Eng 143:106394

    Google Scholar 

  15. Pamucar D et al (2022) A metaverse assessment model for sustainable transportation using ordinal priority approach and Aczel-Alsina norms. Technol Forecast Social Change 182:121778

    Google Scholar 

  16. Kovač M et al (2021) Novel spherical fuzzy MARCOS method for assessment of drone-based city logistics concepts. Complexity 2021:1–17. https://doi.org/10.1155/2021/2374955

    Article  Google Scholar 

  17. Stević Ž et al (2022) Assessment of Causes of Delays in the Road Construction Projects in the Benin Republic Using Fuzzy PIPRECIA Method. Math Prob Eng 2022:1–18

    Google Scholar 

  18. Badi I, Bouraima MB, Muhammad L (2022) The role of intelligent transportation systems in solving traffic problems and reducing environmental negative impact of urban transport. Decis Mak Anal 1(1):1–9

    Google Scholar 

  19. Moslem S et al (2023) Sustainable development solutions of public transportation: an integrated IMF SWARA and fuzzy bonferroni operator. Sustain Cities Soc 93:104530. https://doi.org/10.1016/j.scs.2023.104530

    Article  Google Scholar 

  20. Kutlu Gündoğdu F, Kahraman C (2019) Spherical fuzzy sets and spherical fuzzy TOPSIS method. J Intell Fuzzy Syst 36(1):337–352

    MATH  Google Scholar 

  21. Ayyildiz E, Gumus AT (2020) A novel spherical fuzzy AHP-integrated spherical WASPAS methodology for petrol station location selection problem: a real case study for İstanbul. Environ Sci Pollut Res 27(29):36109–36120

    Google Scholar 

  22. Garg H et al (2018) Algorithm for T-spherical fuzzy multi-attribute decision making based on improved interactive aggregation operators. Symmetry 10(12):670

    Google Scholar 

  23. Gül S (2020) Spherical fuzzy extension of DEMATEL (SF-DEMATEL). Int J Intell Syst 35(9):1329–1353

    Google Scholar 

  24. Ayyildiz E, Taskin A (2022) A novel spherical fuzzy AHP-VIKOR methodology to determine serving petrol station selection during COVID-19 lockdown: a pilot study for İstanbul. Socio-Econ Plann Sci 83:101345. https://doi.org/10.1016/j.seps.2022.101345

    Article  Google Scholar 

  25. Kahraman C (2021) Decision making with spherical fuzzy sets: theory and applications. Springer, Cham

    MATH  Google Scholar 

  26. Erdoğan M et al (2021) Evaluation of autonomous vehicle driving systems for risk assessment based on three-dimensional uncertain linguistic variables. Appl Soft Comput 113:107934

    Google Scholar 

  27. Garg H et al (2021) T-spherical fuzzy power aggregation operators and their applications in multi-attribute decision making. J Amb Intell Humaniz Comput 12(10):9067–9080

    Google Scholar 

  28. Kahraman C et al (2020) Advanced fuzzy sets and multicriteria decision making on product development. Customer oriented product design. Springer, pp 283–302

    Google Scholar 

  29. Farrokhizadeh E et al (2021) A spherical fuzzy methodology integrating maximizing deviation and TOPSIS methods. Eng Appl Artif Intell 101:104212

    Google Scholar 

  30. Ashraf S et al (2019) Spherical fuzzy sets and its representation of spherical fuzzy t-norms and t-conorms. J Intell Fuzzy Syst 36(6):6089–6102

    Google Scholar 

  31. Ashraf S et al (2019) Spherical fuzzy sets and their applications in multi-attribute decision making problems. J Intell Fuzzy Syst 36(3):2829–2844

    Google Scholar 

  32. Yang Z et al (2020) Decision support algorithm for selecting an antivirus mask over COVID-19 pandemic under spherical normal fuzzy environment. Int J Environ Res Public Health 17(10):3407

    Google Scholar 

  33. Keršuliene V, Zavadskas EK, Turskis Z (2010) Selection of rational dispute resolution method by applying new step-wise weight assessment ratio analysis (SWARA). J Bus Econ Manag 11(2):243–258

    Google Scholar 

  34. Zolfani SH, Yazdani M, Zavadskas EK (2018) An extended stepwise weight assessment ratio analysis (SWARA) method for improving criteria prioritization process. Soft Comput 22(22):7399–7405

    Google Scholar 

  35. Zavadskas EK et al (2012) Optimization of weighted aggregated sum product assessment. Elektronika ir elektrotechnika 122(6):3–6

    Google Scholar 

  36. Gireesha O et al (2020) IIVIFS-WASPAS: an integrated multi-criteria decision-making perspective for cloud service provider selection. Futur Gener Comput Syst 103:91–110

    Google Scholar 

  37. Chakraborty S, Zavadskas EK (2014) Applications of WASPAS method in manufacturing decision making. Informatica 25(1):1–20

    Google Scholar 

  38. Hagerman E (2012) Challenges to regional infrastructure development. Development Bank of Southern Africa. Midrand: South Africa

  39. Jouanjean MA, Gachassin M, te Velde DW (2015) Regional infrastructure for trade facilitation–impact on growth and poverty reduction. Literature Review, ODI, London

  40. Ikome FN, Lisinge RT (2016) The political economy of infrastructure development in Africa: an assessment of the NEPAD Presidential Infrastructure Champion Initiative (PICI). Can J Afr Stud 50(2):255–277

    Google Scholar 

  41. Wentworth L (2013) The complexities of regional infrastructure planning

  42. Lisinge RT, van Dijk MP (2021) Regional transport infrastructure programmes in Africa: what factors influence their performance? Can J Afr Stud 56(1):99–121. https://doi.org/10.1080/00083968.2021.1896369

    Article  Google Scholar 

  43. Lisinge RT (2020) The belt and road initiative and Africa’s regional infrastructure development: implications and lessons. Trans Corp Rev 12(4):425–438

    Google Scholar 

  44. Akinkugbe OD (2013) The dilemma of public-private partnerships as a vehicle for the provision of regional transport infrastructure development in Africa. Law Dev Rev 6(2):S3-27

    Google Scholar 

  45. Adero N, Aligula E (2012) Challenges facing transport infrastructure in the East African Community. Research Networking and Regional Development Policy Making in the East Africa Community (EAC), 90–113: Kenya Institute for Public Policy Research and Analysis (KIPPRA)

  46. Vhumbunu CH (2016) Enabling African regional infrastructure renaissance through the China-Africa partnership: a trans-continental appraisal. Int J China Stud 7(3):271

    Google Scholar 

  47. Bouraima MB et al (2023) Integrated intelligent decision support model for ranking regional transport infrastructure programmes based on performance assessment. Exp Syst Appl 222:119852. https://doi.org/10.1016/j.eswa.2023.119852

    Article  Google Scholar 

  48. Mardani A et al (2017) A systematic review and meta-Analysis of SWARA and WASPAS methods: theory and applications with recent fuzzy developments. Appl Soft Comput 57:265–292

    Google Scholar 

  49. Agarwal S, Kant R, Shankar R (2020) Evaluating solutions to overcome humanitarian supply chain management barriers: a hybrid fuzzy SWARA–Fuzzy WASPAS approach. Int J Disast Risk Reduct 51:101838

    Google Scholar 

  50. Akram M et al (2022) Assessment of hydropower plants in Pakistan: Muirhead mean-based 2-tuple linguistic t-spherical fuzzy model combining SWARA with COPRAS. Arab J Sci Eng 48(5):5859–5888

    Google Scholar 

  51. Banihashemi SA et al (2021) Trading off time–cost–quality in construction project scheduling problems with fuzzy SWARA–TOPSIS approach. Buildings 11(9):387

    Google Scholar 

  52. Bouraima MB et al (2023) Assessment of alternative railway systems for sustainable transportation using an integrated IRN SWARA and IRN CoCoSo model. Socio-Econ Plann Sci 86:101475

    Google Scholar 

  53. Bouraima MB et al (2023) An integrated fuzzy MCDM model for prioritizing strategies for successful implementation and operation of the bus rapid transit system. Ann Oper Res. https://doi.org/10.1007/s10479-023-05183-y

    Article  Google Scholar 

  54. Garg H et al (2022) Complex intuitionistic fuzzy soft SWARA-COPRAS approach: an application of ERP software selection. AIMS Math 7(4):5895–5909

    MathSciNet  Google Scholar 

  55. Keshavarz-Ghorabaee M et al (2018) An extended step-wise weight assessment ratio analysis with symmetric interval type-2 fuzzy sets for determining the subjective weights of criteria in multi-criteria decision-making problems. Symmetry 10(4):91

    MATH  Google Scholar 

  56. Kumar V et al (2022) A SWARA-CoCoSo-based approach for spray painting robot selection. Informatica 33(1):35–54

    MathSciNet  Google Scholar 

  57. Mishra AR et al (2020) Novel multi-criteria intuitionistic fuzzy SWARA–COPRAS approach for sustainability evaluation of the bioenergy production process. Sustainability 12(10):4155

    Google Scholar 

  58. Rani P et al (2020) Hesitant fuzzy SWARA-complex proportional assessment approach for sustainable supplier selection (HF-SWARA-COPRAS). Symmetry 12(7):1152

    Google Scholar 

  59. Rani P et al (2020) Pythagorean fuzzy SWARA–VIKOR framework for performance evaluation of solar panel selection. Sustainability 12(10):4278

    Google Scholar 

  60. Ulutaş A, Karakuş CB, Topal A (2020) Location selection for logistics center with fuzzy SWARA and CoCoSo methods. J Intell Fuzzy Syst 38(4):4693–4709

    Google Scholar 

  61. Akram M et al (2023) 2-tuple linguistic Fermatean fuzzy MAGDM based on the WASPAS method for selection of solid waste disposal location. Math Biosci Eng 20:3811–3837

    Google Scholar 

  62. Ayyildiz E, Erdogan M, Gumus AT (2021) A Pythagorean fuzzy number-based integration of AHP and WASPAS methods for refugee camp location selection problem: a real case study for Istanbul, Turkey. Neural Comput Appl 33(22):15751–15768

    Google Scholar 

  63. Deveci M et al (2022) Fuzzy Einstein WASPAS approach for the economic and societal dynamics of the climate change mitigation strategies in urban mobility planning. Struct Chang Econ Dyn 61:1–17

    Google Scholar 

  64. Mishra AR, Rani P (2018) Interval-valued intuitionistic fuzzy WASPAS method: application in reservoir flood control management policy. Group Decis Negot 27(6):1047–1078

    Google Scholar 

  65. Mishra AR et al (2019) A novel hesitant fuzzy WASPAS method for assessment of green supplier problem based on exponential information measures. J Clean Prod 238:117901

    Google Scholar 

  66. Pamucar D et al (2020) Selecting an airport ground access mode using novel fuzzy LBWA-WASPAS-H decision making model. Eng Appl Artif Intell 93:103703

    Google Scholar 

  67. Rani P, Mishra AR, Pardasani KR (2020) A novel WASPAS approach for multi-criteria physician selection problem with intuitionistic fuzzy type-2 sets. Soft Comput 24:2355–2367

    Google Scholar 

  68. Senapati T, Yager RR, Chen G (2021) Cubic intuitionistic WASPAS technique and its application in multi-criteria decision-making. J Amb Intell Hum Comput 12(9):8823–8833. https://doi.org/10.1007/s12652-020-02667-8

    Article  Google Scholar 

  69. Senapati T, Chen G (2022) Picture fuzzy WASPAS technique and its application in multi-criteria decision-making. Soft Comput 26(9):4413–4421

    Google Scholar 

  70. Simić V, Lazarević D, Dobrodolac M (2021) Picture fuzzy WASPAS method for selecting last-mile delivery mode: a case study of Belgrade. Eur Transp Res Rev 13:1–22

    Google Scholar 

  71. Stević Ž et al (2018) The location selection for roundabout construction using Rough BWM-Rough WASPAS approach based on a new Rough Hamy aggregator. Sustainability 10(8):2817

    Google Scholar 

  72. Bwanali S, Rwelamila P (2017) Public Private Partnerships: a possible alternative for delivery of infrastructure projects in Africa. Int J Constr Supply Chain Manag 7(3):93–109

    Google Scholar 

  73. Balikuddembe JK et al (2017) Mainstreaming road safety in the regional integration of the East African Community to reduce road traffic injuries. Afr Saf Promot J Injur Viol Prev 15(1):38–54

    Google Scholar 

  74. Whang PY (2018) Regional derailment: the saga of the East African Railways. J Eastern Afr Stud 12(4):716–734

    Google Scholar 

  75. Tebagana G (2014) A Case for efficient legal and institutional frameworks for cross-border railway development in the East African community. University of Pretoria

  76. Rexwhite Enakrire T, George Onyenania O (2007) Factors affecting the development of information infrastructure in Africa. Lib Hi Tech News 24(2):15–20. https://doi.org/10.1108/07419050710751643

    Article  Google Scholar 

  77. Rust F et al. (2008) Role of R&D (research and development) in transport infrastructure in South Africa. Southern Africa Transport Conference (SATC)

  78. Olaniyan O, SADC ARDT (2008) Challenges in achieving regional integration in Africa. in Southern Africa development forum on progress and prospects in the implementation of protocols in Southern Africa

  79. Msigwa RE (2013) Challenges facing urban transportation in Tanzania. Math Theory Model 3(5):18–26

    Google Scholar 

  80. Talam E, MINCU MB (2020) Factors affecting customs marine unit performance at the Port of Mombasa

  81. Kanyama A (2016) Challenges of institutional coordination in planning for public transportation in East Africa: analysis based on perceptions of stakeholders in Dar-Es-Salaam and Nairobi. World 3(3):243

    Google Scholar 

  82. Zolfani SH et al (2013) Decision making on business issues with foresight perspective; an application of new hybrid MCDM model in shopping mall locating. Expert Syst Appl 40(17):7111–7121

    Google Scholar 

  83. Saraç MG et al (2022) Influence of using scarlet runner bean flour on the production and physicochemical, textural, and sensorial properties of vegan cakes: WASPAS-SWARA techniques. Int J Gastron Food Sci 27:100489

    Google Scholar 

  84. Yücenur GN, Ipekçi A (2021) SWARA/WASPAS methods for a marine current energy plant location selection problem. Renew Energy 163:1287–1298

    Google Scholar 

  85. Dehshiri SSH (2022) New hybrid multi criteria decision making method for offshore windfarm site location in Persian Gulf, Iran. Ocean Eng 256:111498

    Google Scholar 

  86. Ghoushchi SJ et al (2021) Landfill site selection for medical waste using an integrated SWARA-WASPAS framework based on spherical fuzzy set. Sustainability 13(24):13950

    Google Scholar 

  87. Gündoğdu FK, Kahraman C (2020) A novel spherical fuzzy analytic hierarchy process and its renewable energy application. Soft Comput 24(6):4607–4621

    Google Scholar 

  88. Kahraman C et al. (2019) Hospital location selection using spherical fuzzy TOPSIS. In: 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019). Atlantis Press

  89. Jafarzadeh Ghoushchi S et al (2023) Road safety assessment and risks prioritization using an integrated SWARA and MARCOS approach under spherical fuzzy environment. Neural Comput Appl 35(6):4549–4567

    Google Scholar 

  90. Nguyen T-L et al (2022) A novel integrating data envelopment analysis and spherical fuzzy mcdm approach for sustainable supplier selection in steel industry. Mathematics 10(11):1897

    Google Scholar 

  91. Kutlu Gundogdu F, Kahraman C (2019) Extension of WASPAS with spherical fuzzy sets. Informatica 30(2):269–292

    MATH  Google Scholar 

  92. OECD/ACET (2020) Quality Infrastructure in 21st Century Africa: Prioritising, Accelerating and Scaling up in the Context of Pida (2021–30)

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ertugrul Ayyildiz.

Ethics declarations

Conflict of interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bouraima, M.B., Qiu, Y., Ayyildiz, E. et al. Prioritization of strategies for a sustainable regional transportation infrastructure by hybrid spherical fuzzy group decision-making approach. Neural Comput & Applic 35, 17967–17986 (2023). https://doi.org/10.1007/s00521-023-08660-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00521-023-08660-4

Keywords

Navigation