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Multi-criterial evaluation of electronic payment system variants and evaluation of results of an empirical research focused on an electronic payment system

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Języki publikacji
EN
Abstrakty
EN
While choosing an electronic payment system intended for an immediate communication of a user (passenger) with an electronic terminal of a service provider (carrier), it is necessary to respect system parameters of presented technologies (NFC, EMV, and ABT). The methodology of choosing an electronic payment system within public transport may be divided into three steps as follows: • outlining criteria for variants evaluation, • multi-criterial evaluation of variants, and • evaluation of empirical research results. The presented article introduces more results of the research within VEGA project solving. Specifically, the article presents results of the multi-criterial expert decisionmaking problem using the WSA (Weighted Sum Approach) method and the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method. At the end of the article, there are presented results of empirical research studies focused on an electronic payment system used in public passenger transport. The empirical research studies were realized in the Slovak Republic in 2014, 2016, and 2018.
Czasopismo
Rocznik
Strony
95--103
Opis fizyczny
Bibliogr. 14 poz.
Twórcy
  • University of Zilina, Univerzitna 1, 01026 Zilina, Slovakia
  • University of Zilina, Univerzitna 1, 01026 Zilina, Slovakia
  • Lublin University of Technology, Nadbystrzycka 38 D, 20 – 618 Lublin, Poland
  • Lublin University of Technology, Nadbystrzycka 38 D, 20 – 618 Lublin, Poland
Bibliografia
  • 1.Brumercik, F. & Lukac, M. & Krzysiak, Z. & Krzywonos, L. Model of integrated transportation system. Communications – Scientific Letters of the University of Zilina. 2017. Vol. 19. No. 2. P. 23-26.
  • 2. Brumercikova, E. & Bukova, B. & Kondek, P. & Drozdziel, P. Application of NFC technology in railway passenger transport by introducing new products. Communications – Scientific Letters of the University of Zilina. 2017. Vol. 19. No. 2. P. 32-35.
  • 3. Cerna, L. & Zitricky, V. & Danis, J. The Methodology of Selecting the Transport Mode for Companies on the Slovak Transport Market. Open Engineering. 2017. No. 1. P. 6-13.
  • 4. Intelligent transport system. White paper of the application of public transport. 2013. ISBN: 978-84-616-4714-9.
  • 5. Kajalic, J. & Celar, N. & Stankovic, S. Travel time estimation on urban street segment. Promet-Traffic & Transportation. 2018. No. 1. P. 115-120.
  • 6. Kulka, J. & Mantic, M. & Kopas, M. & Faltinova, E. & Kachman, D. Heuristic optimalization Approach to selecting transport connection in city public transport. Open Engineering. 2017. No. 1. P. 1-5.
  • 7. Lizbetin, J. Comparing trains operated in Western Europe from passenger viewpoint. MATEC Web of Conferences. HORT 2018. Article No. 000081. Code 142303.
  • 8. Madleňáková, L. & Matúšková, M. & Madleňák, R. & Droździel, P. Quantitative Analysis of the Competitive Environment in the Electronic Communications Sector. Reliability and Statistics in Transportation and Communication. 2018. Vol. 36. P. 413-421.
  • 9. Nesheli, M. & Ceder, A. & Brissaud, R. Public transport service-quality elements based on realtime operational tactics. Transportation. 2017. No. 5. P. 957-975.
  • 10. Olivkova, I. Metodika výběru elektronického platebního systému pro platbu ve veřejné dopravě. [In Slovak: Methodology for selecting an electronic payment system for payment in public transport]. Available at: https://www.cdv.cz/file/teipt-metodika-vyberu-elektronickeho-platebnihosystemu-pro-platbu-ve-verejne-doprave/.
  • 11. Powerful ticketing in the Cloud. Available at: https://www.scheidt-bachmann.de/en/fare-collectionsystems/products-solutions/account-based-ticketing/.
  • 12. Skrucany, T. & Ponicky, J. & Kendra, M. & Gnap, J. Comparison of Railway and Road Passenger Transpor in Energy consumption and GHG Production. ICTTE – Proceedings of the Third Internationl Conference on Traffic and Transport Engineering. 2016. P. 744-749.
  • 13. The system uses EMV cards in passenger transport. Available at: http://www.prerov.eu/filemanager/files/file.php?file=41299.
  • 14. Yap, M.D. & van Oort, N. & van Nes, R. & van Arem, B. Identification and quantification of link vulnerability in multi-level public transport networks: a passenger perspective. Transportation. 2018. No. 4. P. 1161-1180.
Uwagi
PL
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
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