What influence does the ICAO have on Passengers safety based on data analysis from past commercial aircraft accidents utilizing EDA Method? :  Based on Bureau of Aircraft Accidents Archieves (BAAA)database from 1918-2020

This study aimed to assess the impact of establishing a regulating agency to protect public safety in air transportation (ICAO). In the implementation, we gather a database from BAAA, which is then converted into a dataset for analysis with descriptive statistics and EDA. To see the aim of the analysis, divide the time before and after the foundation of ICAO so that the analytical method based on the number of accidents and casualties is compared before and after the establishment of ICAO. In terms of the outcomes, the data show that there has been a decrease in the number of accidents since the establishment of ICAO. This means that the ICAO has a positive impact as an organization in protecting passengers or customers.

Content

Author and article information

Journal

Title: ScienceOpen Posters

Publisher: ScienceOpen

Publication date (Electronic preprint): 18 May 2022

Affiliations

[1 ] Department of Computer Engineering, Faculty of Computer Science, Universitas Sriwijaya. Palembang, Sumatera Selatan Indonesia

Author notes

[* ]Email: passarella.rossi@ 123456unsri.ac.id .

Author information

Rossi Passarella https://orcid.org/0000-0002-7243-0451

Article

DOI: 10.14293/S2199-1006.1.SOR-.PP0UESG.v1

SO-VID: 5c761f22-ecf7-48fd-a5e6-d8221042c5f9

License:

This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .

History

Date received : 18 May 2022

Data availability: The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.

ScienceOpen disciplines: Computer science,Statistics

Keywords: Safety in aviation,Historical data aircraft accident,EDA analysis ,ICAO

References

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Kneale Casey, Brown Steven D.. Uncharted forest: A technique for exploratory data analysis. Talanta. Vol. 189:71–78. 2018. Elsevier BV. [Cross Ref]
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Blanca María J., Arnau Jaume, López-Montiel Dolores, Bono Roser, Bendayan Rebecca. Skewness and Kurtosis in Real Data Samples. Methodology. Vol. 9(2):78–84. 2013. Hogrefe Publishing Group. [Cross Ref]
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Fisher Murray J., Marshall Andrea P.. Understanding descriptive statistics. Australian Critical Care. Vol. 22(2):93–97. 2009. Elsevier BV. [Cross Ref]
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Button Kenneth, Clarke Audrey, Palubinskas Ginta, Stough Roger, Thibault Marc. Conforming with ICAO safety oversight standards. Journal of Air Transport Management. Vol. 10(4):249–255. 2004. Elsevier BV. [Cross Ref]
Iwadare Kunimitsu, Oyama Tatsuo. Statistical Data Analyses on Aircraft Accidents in Japan: Occurrences, Causes and Countermeasures. American Journal of Operations Research. Vol. 05(03):222–245. 2015. Scientific Research Publishing, Inc. [Cross Ref]
Kelly Damien, Efthymiou Marina. An analysis of human factors in fifty controlled flight into terrain aviation accidents from 2007 to 2017. Journal of Safety Research. Vol. 69:155–165. 2019. Elsevier BV. [Cross Ref]
HUANG J.. Aviation Safety, ICAO and Obligations Erga Omnes. Chinese Journal of International Law. Vol. 8(1):63–79. 2009. Oxford University Press (OUP). [Cross Ref]

Comments

Comment on this article

[1] Stancin I., Jovic A.. An overview and comparison of free Python libraries for data mining and big data analysis. 2019 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO). 2019. IEEE. [Cross Ref]

[2] Kneale Casey, Brown Steven D.. Uncharted forest: A technique for exploratory data analysis. Talanta. Vol. 189:71–78. 2018. Elsevier BV. [Cross Ref]

[3] Jebb Andrew T., Parrigon Scott, Woo Sang Eun. Exploratory data analysis as a foundation of inductive research. Human Resource Management Review. Vol. 27(2):265–276. 2017. Elsevier BV. [Cross Ref]

[4] Blanca María J., Arnau Jaume, López-Montiel Dolores, Bono Roser, Bendayan Rebecca. Skewness and Kurtosis in Real Data Samples. Methodology. Vol. 9(2):78–84. 2013. Hogrefe Publishing Group. [Cross Ref]

[5] Dettori Joseph R., Norvell Daniel C.. The Anatomy of Data. Global Spine Journal. Vol. 8(3):311–313. 2018. SAGE Publications. [Cross Ref]

[6] Fisher Murray J., Marshall Andrea P.. Understanding descriptive statistics. Australian Critical Care. Vol. 22(2):93–97. 2009. Elsevier BV. [Cross Ref]

[7] Barapatre Darshan, A Vijayalakshmi. DATA PREPARATION ON LARGE DATASETS FOR DATA SCIENCE. Asian Journal of Pharmaceutical and Clinical Research. Vol. 10(13)2017. Innovare Academic Sciences Pvt Ltd. [Cross Ref]

[8] Button Kenneth, Clarke Audrey, Palubinskas Ginta, Stough Roger, Thibault Marc. Conforming with ICAO safety oversight standards. Journal of Air Transport Management. Vol. 10(4):249–255. 2004. Elsevier BV. [Cross Ref]

[9] Iwadare Kunimitsu, Oyama Tatsuo. Statistical Data Analyses on Aircraft Accidents in Japan: Occurrences, Causes and Countermeasures. American Journal of Operations Research. Vol. 05(03):222–245. 2015. Scientific Research Publishing, Inc. [Cross Ref]

[10] Kelly Damien, Efthymiou Marina. An analysis of human factors in fifty controlled flight into terrain aviation accidents from 2007 to 2017. Journal of Safety Research. Vol. 69:155–165. 2019. Elsevier BV. [Cross Ref]

[11] HUANG J.. Aviation Safety, ICAO and Obligations Erga Omnes. Chinese Journal of International Law. Vol. 8(1):63–79. 2009. Oxford University Press (OUP). [Cross Ref]