Application of SHERPA in Boarding Procedure of Blind Passengers in Airports

  • Natalha CarvalhoEmail author
  • Rapinder Sawhney
  • Claudia Araújo
  • Bernardo da Fonseca
  • Nelson Matias
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 972)


The present research describes the application of the SHERPA (Systematic Human Error Reduction and Prediction Approach) tool in an airport environment. This study was based on existing regulations and documents that provided information about visual impairment, accessibility in transportation and the accessibility design. The results of this study point out some difficulties and constraints that the target group face regarding to receiving and carrying out procedures at the Brazilian airport. Furthermore, this study suggests relevant information about accessibility in order to allow passengers with blind disability travel with autonomy.


SHERPA Accessibility Visual impairment Universal design 


  1. 1.
    Ferreira, F.: Os dois mundos da inclusão do deficiente visual. In: IV Seminário Internacional de Integração Étnico-Racial e as Metas do Mi-lênio. Guarulhos (2016)Google Scholar
  2. 2.
    Organização das Nações Unidas: a ONU e as pessoas com deficiência. Nações Unidas no Brasil (2018). Accessed 22 May 2018
  3. 3.
    Di Pasquale, V., Miranda, S., Iannone, R., Riemma, S.: A simulator for human error probability analysis (SHERPA). Reliab. Eng. Syst. Saf. 139, 17–32 (2015)CrossRefGoogle Scholar
  4. 4.
    World Health Organization: Blindness and visual impairment. World Health Organization (2017). Accessed 8 May 2018
  5. 5.
    Manduchi, R., Kurniawan, S. (eds.): Assistive Technology for Blindness and Low Vision. CRC Press, Boca Raton (2013). Scholar
  6. 6.
    Yau, M., Packer, T.L.: Traveling with a disability: more than an access issue. Ann. Tourism Res. 31(4), 946 (2004)CrossRefGoogle Scholar
  7. 7.
    Murray, M., Sproats, J.: The disabled traveller: tourism and disability in Australia. J. Tourism Stud. 1(1), 9–14 (1990)Google Scholar
  8. 8.
    EXAME: São Paulo conta com uma das maiores frotas de “Táxi Acessível” do Mundo (2015). Accessed 20 Sept 2018
  9. 9.
    Silveira, D.: 88% dos municípios que têm transporte por ônibus descumprem lei de acessibilidade, diz IBGE (2018). Accessed 20 Sept 2018
  10. 10.
    Rehabilitation International USA: Access to the skies. Unpublished paper, USA (1979)Google Scholar
  11. 11.
    Kennedy, D.W., Austin, D.R., Smith, R.W.: Special Recreation: Opportunities for Persons with Disabilities. Saunders College Publishing, Philadelphia (1987)Google Scholar
  12. 12.
    Stanton, N.A., Baber, C.: Error by design: methods for predicting device usability. Des. Stud. 23, 363–384 (2002)CrossRefGoogle Scholar
  13. 13.
    Embrey, D.E.: SHERPA: a systematic human error reduction and prediction approach. American Nuclear Society, USA (1986)Google Scholar
  14. 14.
    Harris, D., Stanton, N.A., Marshall, A., Young, M.S., Demagalski, J., Salmon, P.: Using SHERPA to predict design-induced error on the flight deck. Aerosp. Sci. Technol. 9(6), 525–532 (2005)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Natalha Carvalho
    • 1
    Email author
  • Rapinder Sawhney
    • 3
  • Claudia Araújo
    • 1
  • Bernardo da Fonseca
    • 2
  • Nelson Matias
    • 1
    • 2
    • 3
  1. 1.Centro Universitário Teresa D’Ávila - UNIFATEALorenaBrazil
  2. 2.Universidade do Estado do Rio de Janeiro – UERJResendeBrazil
  3. 3.Industrial & Systems EngineeringUniversity of TennesseeKnoxvilleUSA

Personalised recommendations