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Parametric Approach to the Assessment of Service Quality Attributes of Municipal Passenger Transport in Moscow

Author

Listed:
  • Roman Sidorchuk
  • Dariya Efimova
  • Irina Lopatinskaya
  • Venera Kaderova

Abstract

The paper presents the results of research of passenger transport services in the city of Moscow by public transport. The research method is based on assessing the quality by using "Mystery Shopper" observation method. The peculiarity of the method involves the use of parametric indices outlined by researchers and affecting quality of the provided transportation service. These parameters include cleanliness, ticket-selling speed, presence of cellular signal, etc. The obtained results demonstrate that, given the existing features of automatic vending machines, they still cannot completely replace traditional ticket offices. The results of the research demonstrate that the applied method does not allow relating the presence of a particular inspected parameter to service quality perception by consumers. The researchers see the future direction of their work on the revision of the applied methodology in the part for calculation the level of satisfaction, for example, based on a special index. In particular, inclusion of the parameters of perceived quality, use of a multi-stage or stratified sampling to improve the representativeness of the research results, use of frequency measurement - 4 times per year to account for the seasonality factor.Â

Suggested Citation

  • Roman Sidorchuk & Dariya Efimova & Irina Lopatinskaya & Venera Kaderova, 2015. "Parametric Approach to the Assessment of Service Quality Attributes of Municipal Passenger Transport in Moscow," Modern Applied Science, Canadian Center of Science and Education, vol. 9(4), pages 303-303, April.
  • Handle: RePEc:ibn:masjnl:v:9:y:2014:i:4:p:303
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    References listed on IDEAS

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    1. Efimova, D., 2013. "Defining the range of rates to control the size of revenues," Annals of marketing-mba, Department of Marketing, Marketing MBA (RSconsult), vol. 3, November.
    2. Redman, Lauren & Friman, Margareta & Gärling, Tommy & Hartig, Terry, 2013. "Quality attributes of public transport that attract car users: A research review," Transport Policy, Elsevier, vol. 25(C), pages 119-127.
    3. Costa, Álvaro & Fernandes, Ruben, 2012. "Urban public transport in Europe: Technology diffusion and market organisation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(2), pages 269-284.
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    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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