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Evaluation of a bus passenger information system from the users' point of view in the city of Thessaloniki, Greece

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  • Politis, Ioannis
  • Papaioannou, Panagiotis
  • Basbas, Socrates
  • Dimitriadis, Nikolaos

Abstract

This paper presents an evaluation, from the users' point of view, of an advanced Bus Passenger Real Time Information System, installed at the city of Thessaloniki, Greece. In addition to the methodological approach and the findings presented, the paper explores the greater framework of evaluation procedures in which these analyses should be embedded. In total, 300 questionnaires were returned; the survey aimed to define the basic components of users' acceptance of the new system as well as socioeconomic issues related with the estimation of the payback period of the project. The survey findings are combined with several research results from recent resembled surveys conducted in the city in previous years.

Suggested Citation

  • Politis, Ioannis & Papaioannou, Panagiotis & Basbas, Socrates & Dimitriadis, Nikolaos, 2010. "Evaluation of a bus passenger information system from the users' point of view in the city of Thessaloniki, Greece," Research in Transportation Economics, Elsevier, vol. 29(1), pages 249-255.
    • Handle: RePEc:eee:retrec:v:29:y:2010:i:1:p:249-255
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    References listed on IDEAS

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    1. Tyrinopoulos, Yannis & Antoniou, Constantinos, 2008. "Public transit user satisfaction: Variability and policy implications," Transport Policy, Elsevier, vol. 15(4), pages 260-272, July.
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    Cited by:

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    2. Morfoulaki, Maria & Myrovali, Glikeria & Kotoula, Kornilia, 2015. "Increasing the attractiveness of public transport by investing in soft ICT based measures: Going from words to actions under an austerity backdrop – Thessaloniki's case, Greece," Research in Transportation Economics, Elsevier, vol. 51(C), pages 40-48.
    3. Nayer Daher & Farhana Yasmin & Min Ru Wang & Ehsan Moradi & Omid Rouhani, 2018. "Perceptions, Preferences, and Behavior Regarding Energy and Environmental Costs: The Case of Montreal Transport Users," Sustainability, MDPI, vol. 10(2), pages 1-20, February.
    4. Mohammad Reza Amin-Naseri & Vahid Baradaran, 2015. "Accurate Estimation of Average Waiting Time in Public Transportation Systems," Transportation Science, INFORMS, vol. 49(2), pages 213-222, May.
    5. Yang Chen & Arturo Ardila-Gomez & Gladys Frame, 2016. "Achieving Energy Savings by Intelligent Transportation Systems Investments in the Context of Smart Cities," World Bank Publications - Reports 24740, The World Bank Group.
    6. Celik, Erkan & Bilisik, Ozge Nalan & Erdogan, Melike & Gumus, Alev Taskin & Baracli, Hayri, 2013. "An integrated novel interval type-2 fuzzy MCDM method to improve customer satisfaction in public transportation for Istanbul," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 58(C), pages 28-51.
    7. Mulley, Corinne & Clifton, Geoffrey Tilden & Balbontin, Camila & Ma, Liang, 2017. "Information for travelling: Awareness and usage of the various sources of information available to public transport users in NSW," Transportation Research Part A: Policy and Practice, Elsevier, vol. 101(C), pages 111-132.
    8. Kampouri, Aikaterini & Politis, Ioannis & Georgiadis, Georgios, 2022. "A system-optimum approach for bus lanes dynamically activated by road traffic," Research in Transportation Economics, Elsevier, vol. 92(C).
    9. Brakewood, Candace & Barbeau, Sean & Watkins, Kari, 2014. "An experiment evaluating the impacts of real-time transit information on bus riders in Tampa, Florida," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 409-422.
    10. Georgiadis, Georgios & Politis, Ioannis & Papaioannou, Panagiotis, 2014. "Measuring and improving the efficiency and effectiveness of bus public transport systems," Research in Transportation Economics, Elsevier, vol. 48(C), pages 84-91.

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