IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i19p12177-d925446.html
   My bibliography  Save this article

Assessment of the Satisfaction Level of Users of Brazilian Cabotage—Containerized Cargo Segment

Author

Listed:
  • Aldery Silveira Junior

    (Department of Business Management, Brasilia University, Brasilia 70910-900, DF, Brazil)

  • Rafael Rabelo Nunes

    (Department of Business Management, Brasilia University, Brasilia 70910-900, DF, Brazil)

Abstract

Due to its vast maritime coast, connected to the riverbeds that flow into the sea, Brazil holds favorable conditions for cargo transportation by cabotage—a type of navigation performed between points on the coast or between these and river points. The purpose of this study was to develop and apply a model to evaluate the degree of satisfaction of users of Brazilian cabotage, specifically the containerized cargo segment, with the services offered to them. The assessment model was developed based on the multicriteria decision aid (MCDA) methodology, which was designed under the aegis of the constructivist paradigm and with the collaboration of a team of cabotage specialists. A framework was built for assessment consisting of seven axes: service level, cargo safety, cabotage routes, transportation cost, general aspects of transportation, quality of information provided by EBNs and intermediary agents, and other aspects related to transportation. The global assessment obtained a score of 7.0, on a scale of zero to ten, which is considered good. The study’s contribution to the transportation sector consists of the construction of a multi-criteria assessment model, which can be replicated for other types of transportation with the necessary adjustments.

Suggested Citation

  • Aldery Silveira Junior & Rafael Rabelo Nunes, 2022. "Assessment of the Satisfaction Level of Users of Brazilian Cabotage—Containerized Cargo Segment," Sustainability, MDPI, vol. 14(19), pages 1-19, September.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:12177-:d:925446
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/19/12177/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/19/12177/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Vikas Swarnakar & Amit Raj Singh & Jiju Antony & Raja Jayaraman & Anil Kr Tiwari & Rajeev Rathi & Elizabeth Cudney, 2022. "Prioritizing Indicators for Sustainability Assessment in Manufacturing Process: An Integrated Approach," Sustainability, MDPI, vol. 14(6), pages 1-24, March.
    2. Bouyssou, Denis, 1986. "Some remarks on the notion of compensation in MCDM," European Journal of Operational Research, Elsevier, vol. 26(1), pages 150-160, July.
    3. Fernando A. F. Ferreira & Sérgio P. Santos, 2021. "Two decades on the MACBETH approach: a bibliometric analysis," Annals of Operations Research, Springer, vol. 296(1), pages 901-925, January.
    4. Tobias Naegler & Lisa Becker & Jens Buchgeister & Wolfgang Hauser & Heidi Hottenroth & Tobias Junne & Ulrike Lehr & Oliver Scheel & Ricarda Schmidt-Scheele & Sonja Simon & Claudia Sutardhio & Ingela T, 2021. "Integrated Multidimensional Sustainability Assessment of Energy System Transformation Pathways," Sustainability, MDPI, vol. 13(9), pages 1-28, May.
    5. Vivien Lorenčič & Elen Twrdy & Marjan Lep, 2022. "Cruise Port Performance Evaluation in the Context of Port Authority: An MCDA Approach," Sustainability, MDPI, vol. 14(7), pages 1-23, March.
    6. Wojciech Sałabun & Krzysztof Palczewski & Jarosław Wątróbski, 2019. "Multicriteria Approach to Sustainable Transport Evaluation under Incomplete Knowledge: Electric Bikes Case Study," Sustainability, MDPI, vol. 11(12), pages 1-19, June.
    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. Fusco, Elisa, 2023. "Potential improvements approach in composite indicators construction: The Multi-directional Benefit of the Doubt model," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    2. Bouyssou, Denis & Pirlot, Marc, 2009. "An axiomatic analysis of concordance-discordance relations," European Journal of Operational Research, Elsevier, vol. 199(2), pages 468-477, December.
    3. Gomes, Luís S. & Santos, Sérgio P. & Coelho, Luís Serra & Rebelo, Efigénio L., 2023. "Using MCDA to assist an Intermunicipal community develop a resilience strategy in face of the pandemic caused by the SARS-CoV-2," Socio-Economic Planning Sciences, Elsevier, vol. 87(PB).
    4. 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.
    5. Indre Siksnelyte-Butkiene & Dalia Streimikiene, 2022. "Sustainable Development of Road Transport in the EU: Multi-Criteria Analysis of Countries’ Achievements," Energies, MDPI, vol. 15(21), pages 1-25, November.
    6. Govindan, Kannan & Jepsen, Martin Brandt, 2016. "ELECTRE: A comprehensive literature review on methodologies and applications," European Journal of Operational Research, Elsevier, vol. 250(1), pages 1-29.
    7. Hayashi, Kiyotada, 1998. "Multicriteria aid for agricultural decisions using preference relations: methodology and application," Agricultural Systems, Elsevier, vol. 58(4), pages 483-503, December.
    8. Greco, Salvatore, 1997. "A new PCCA method: IDRA," European Journal of Operational Research, Elsevier, vol. 98(3), pages 587-601, May.
    9. Fatima‐Zohra Younsi & Salem Chakhar & Alessio Ishizaka & Djamila Hamdadou & Omar Boussaid, 2020. "A Dominance‐Based Rough Set Approach for an Enhanced Assessment of Seasonal Influenza Risk," Risk Analysis, John Wiley & Sons, vol. 40(7), pages 1323-1341, July.
    10. Tyas Yuli Rosiani & Dana Marsetiya Utama & Ameilia Yuniar Ummudiyah & Ikhlasul Amallynda, 2024. "Sustainable Manufacturing Assessment using Sustainable VSM and AHP involving Workload and Machine Efficiency: A Case Study in Indonesian Paving Block Production," Circular Economy and Sustainability, Springer, vol. 4(3), pages 2049-2071, September.
    11. Bartłomiej Kizielewicz & Jarosław Wątróbski & Wojciech Sałabun, 2020. "Identification of Relevant Criteria Set in the MCDA Process—Wind Farm Location Case Study," Energies, MDPI, vol. 13(24), pages 1-40, December.
    12. Ok, Efe A. & Masatlioglu, Yusufcan, 2007. "A theory of (relative) discounting," Journal of Economic Theory, Elsevier, vol. 137(1), pages 214-245, November.
    13. Sharma, Varun & Vijayaraghavan, T.A.S. & Raghu Ram, Tata L., 2023. "Resolving operational paradox of sustainable supply chain: A decision framework approach," Socio-Economic Planning Sciences, Elsevier, vol. 87(PB).
    14. Edson Kogachi & Adonias Ferreira & Carlos Cavalcante & Marcelo Embiruçu, 2021. "Development of Performance Evaluation Indicators for Table Grape Packaging Units. 2. Global Indexes," Sustainability, MDPI, vol. 13(11), pages 1-16, June.
    15. Thalles Vitelli Garcez & Helder Tenório Cavalcanti & Adiel Teixeira de Almeida, 2021. "A hybrid decision support model using Grey Relational Analysis and the Additive-Veto Model for solving multicriteria decision-making problems: an approach to supplier selection," Annals of Operations Research, Springer, vol. 304(1), pages 199-231, September.
    16. Salvatore Greco & Alessio Ishizaka & Menelaos Tasiou & Gianpiero Torrisi, 2019. "On the Methodological Framework of Composite Indices: A Review of the Issues of Weighting, Aggregation, and Robustness," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(1), pages 61-94, January.
    17. Kamali Saraji, Mahyar & Aliasgari, Elahe & Streimikiene, Dalia, 2023. "Assessment of the challenges to renewable energy technologies adoption in rural areas: A Fermatean CRITIC-VIKOR approach," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    18. Giuseppe Munda, 2012. "Intensity of preference and related uncertainty in non-compensatory aggregation rules," Theory and Decision, Springer, vol. 73(4), pages 649-669, October.
    19. Suzana Knežević & Dunja Prokić, 2023. "Indicators as a Foundation of Eco-Labelling of Baked Clay Construction Products in the Republic of Serbia," Sustainability, MDPI, vol. 15(6), pages 1-15, March.
    20. Martin, D.M. & Mazzotta, M., 2018. "Non-monetary valuation using Multi-Criteria Decision Analysis: Sensitivity of additive aggregation methods to scaling and compensation assumptions," Ecosystem Services, Elsevier, vol. 29(PA), pages 13-22.

    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:jsusta:v:14:y:2022:i:19:p:12177-:d:925446. 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.