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A Feedback Analysis Automation Using Business Intelligence Technology in Companies Organizing Urban Public Transport

Author

Listed:
  • Michał Bańka

    (Faculty of Mechanical and Industrial Engineering, Warsaw University of Technology, Narbutta 85 Str., 02-524 Warsaw, Poland)

  • Jakub Daniłowski

    (Faculty of Mechanical and Industrial Engineering, Warsaw University of Technology, Narbutta 85 Str., 02-524 Warsaw, Poland)

  • Mirosław Czerliński

    (Faculty of Transport, Warsaw University of Technology, Koszykowa 75 Str., 00-662 Warsaw, Poland)

  • Jakub Murawski

    (Faculty of Transport, Warsaw University of Technology, Koszykowa 75 Str., 00-662 Warsaw, Poland)

  • Renata Żochowska

    (Faculty of Transport and Aviation Engineering, Silesian University of Technology, Krasińskiego 8 Str., 40-019 Katowice, Poland)

  • Aleksander Sobota

    (Faculty of Transport and Aviation Engineering, Silesian University of Technology, Krasińskiego 8 Str., 40-019 Katowice, Poland)

Abstract

In companies organizing urban public transport, passengers’ feedback is usually collected personally, by phone, by e-mail, or via the Internet. Business Intelligence tools enable this process by automating the data flow between systems used to collect, process, and analyse data by applying analytical Business Intelligence tools. The most important advantage resulting from implementing the tool is facilitating contact between the company and passengers, which allows for an immediate response to the information reported by passengers by introducing the changes in passenger service offered by the company. Another advantage of the discussed tools is the ability to analyse the collected data quickly and easily. Due to the low implementation costs, the developed tool is dedicated mainly to the companies organizing urban public transport. The article presents an example of the use of Power BI tools in the Metropolitan Transport Authority, a company that is the largest organizer of public transport in Poland.

Suggested Citation

  • Michał Bańka & Jakub Daniłowski & Mirosław Czerliński & Jakub Murawski & Renata Żochowska & Aleksander Sobota, 2022. "A Feedback Analysis Automation Using Business Intelligence Technology in Companies Organizing Urban Public Transport," Sustainability, MDPI, vol. 14(18), pages 1-26, September.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:18:p:11740-:d:918638
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    References listed on IDEAS

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    1. Swani, Kunal & Milne, George R., 2017. "Evaluating Facebook brand content popularity for service versus goods offerings," Journal of Business Research, Elsevier, vol. 79(C), pages 123-133.
    2. Marianna Jacyna & Renata Żochowska & Aleksander Sobota & Mariusz Wasiak, 2021. "Scenario Analyses of Exhaust Emissions Reduction through the Introduction of Electric Vehicles into the City," Energies, MDPI, vol. 14(7), pages 1-33, April.
    3. Selamat, Moch Akbar & Windasari, Nila Armelia, 2021. "Chatbot for SMEs: Integrating customer and business owner perspectives," Technology in Society, Elsevier, vol. 66(C).
    4. Mariusz Izdebski & Marianna Jacyna, 2021. "An Efficient Hybrid Algorithm for Energy Expenditure Estimation for Electric Vehicles in Urban Service Enterprises," Energies, MDPI, vol. 14(7), pages 1-23, April.
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