Formation of a set of indicators to assess the effectiveness of functioning of urban public passenger transport

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Abstract

Background. One of the important components of the assessment of the public urban passenger transport system is the formation of an initial set of indicators (criteria). To date there is no single set of indicators for the functioning of urban passenger transportation.

The author of each study chooses the composition of indicators (often also a single indicator) that he considers the most significant and sufficient in order to quantify the system. As a result, only a part of the transport process is evaluated, while many indicators that could fully reflect the state of the system are neglected.

This is due, in particular, to the fact that the formation of a large set of initial data greatly complicates the evaluation procedure. Most often, the indicators that the passenger is interested in improving are selected for evaluation. However, in the system of urban land passenger transport for general use, there are also other participants such as the customer of transport services and the carrier, whose interests should also be taken into account in order to form adequate estimates and develop rational corrective solutions.

The goal is to form and substantiate a set of indicators (criteria) for evaluating the public urban land passenger transport system that would reflect the interests of each of the participants in the transport process.

Methodology. The method of analysis and the method of data systematization are used.

Results. The evaluation indicators of the urban land passenger transport system for general use, proposed by scientists, as well as regulated by normative documents, are investigated. Based on the results of the study, a fairly complete set of indicators was formed and grouped into enlarged blocks for each of the system participants: for the passenger, for the carrier, for the customer of transport services. The requirements for the initial set of indicators for evaluating the urban land passenger transport system are formulated.

The scope of the results. The results obtained can be used by scientists, as well as experts in the field of transport, to assess the functioning of urban passenger transportation.

Conclusions. The selected indicators take into account all aspects of the qualitative component of the transport process: comfort, safety, contact, reliability, accessibility, information service and efficiency. The generated list can be supplemented or adjusted depending on the objectives of the assessment subjects or the opinion of experts.

About the authors

Yuliya А. Koleber

Siberian State Automobile and Highway University

Author for correspondence.
Email: uljachabol@mail.ru
ORCID iD: 0000-0002-6844-1895
SPIN-code: 5455-7507

Lecturer of the Department of Economics, Logistics and Quality Management

Russian Federation, 5, Mira Ave., Omsk, Omsk region, 644080, Russian Federation

Sergey М. Mochalin

Siberian State Automobile and Highway University

Email: mochalin_sm@mail.ru
ORCID iD: 0000-0003-3651-0961
SPIN-code: 2302-7696
Scopus Author ID: 6507433262

Professor of the Department of Economics, Logistics and Quality Management, Doctor of Technical Sciences

5, Mira Ave., Omsk, Omsk region, 644080, Russian Federation

References

  1. Andreev, S. A. (2023). Development of a method for assessing the quality of transport service provision in urban transport planning systems. World of Transport, 21(5), 84–92. https://doi.org/10.30932/1992-3252-2023-21-5-10
  2. Volod'kin, E. P., & Lazarev, V. A. (2023). Classification of passenger transportation quality indicators in Russia. Automotive Transport of the Far East, (1), 56–61. Retrieved March 3, 2025, from https://togudv.ru/media3/filer_public/4e/d6/4ed6a702-7c63-4a78-aa99-8915e7730786/atdv-2023.pdf
  3. GOST R 51004-96. Transport services. Passenger transportation. Quality indicator list. (1997). Moscow: IPK Publishing Standards. 12 p.
  4. Egoryova, I. N. (2023). Development of multimodal passenger transportation in the logistic transport system of the region (on the example of Southern Russia). Unpublished doctoral dissertation. Rostov-on-Don. 204 p.
  5. Epifanov, V. V., Tyurin, A. S., & Lukonykina, K. A. (2018). Managing passenger automobile transportation quality based on consumer satisfaction assessment. Quality and Life, (2), 88–92. Retrieved March 3, 2025, from https://www.ql-journal.ru/arc/2018_2.pdf
  6. Epifanov, V. V., & Tyurin, A. S. (2017). Improving transportation quality in the urban passenger car transport system based on customer satisfaction assessment. Monograph (Ed. M. Y. Obshivalkin). Ulyanovsk: UlSTU. 195 p.
  7. Koleber, Yu. A., & Mochalin, S. M. (2023). Logistical system of public urban passenger transport. Izvestiya Transsiba, (3), 84–94. Retrieved March 3, 2025, from http://izvestia-transsiba.ru/images/journal_pdf/2023-3(55).pdf
  8. Koleber, Yu. A., & Mochalin, S. M. (2024). Development of the conceptual apparatus in the field of evaluation of urban passenger transportation organization. International Journal of Advanced Studies, 14(1), 136–155. https://doi.org/10.12731/2227-930X-2024-14-1-273
  9. Lerman, E. B. (2016). Urban Passenger Transport Companies' Economy. Textbook. Omsk: SibADI. 132 p.
  10. Mochalin, S. M., & Kasper, M. E. (2017). Establishing calculation metrics for assessing the effectiveness of urban public passenger transport system functioning. Bulletin of SibADI, (6), 37–47. https://doi.org/10.26518/2071-7296-2017-6(58)
  11. Nguyen, T. T. H. (2015). Improving Hanoi city's bus service quality through advanced passenger movement technology and organization improvement. Unpublished doctoral dissertation abstract. Volgograd. 20 p.
  12. Semchugova, E. Y., Zyryanov, V. V., Volod'kin, P. P., Denisov, G. G., & Tsyplakov, V. Y. (2012). Determining weightage of reliability indicator of transport services in passenger transportation quality. Internet Journal "Naukovedenie", (4), 1–7. Retrieved March 3, 2025, from https://naukovedenie.ru/index.php?p=issue-4-12-RGSU
  13. Bukina, M. D. (2023). Determination of the components of the "contact" indicator in the system for assessing the quality of services provided in passenger transportation. In Scientific and technical aspects of development of the automotive complex: Materials of the IX International Scientific and Practical Conference within the framework of the 9th International Scientific Forum of the Donetsk People's Republic "Innovative prospects of Donbass: Infrastructure and socio-economic development" (pp. 234–237). Horlivka.
  14. Gudkov, V. A., Kuznetsov, V. F., Osipov, S. E., & Rudakov, B. P. (2006). Passenger Motor Vehicle Transportation. Textbook for university students. Moscow: Hot Line Telecom. 448 p.
  15. Decree of Chief Sanitary Doctor of the Russian Federation No. 30 dated October 16, 2020. On approval of sanitary rules SP 2.5.3650-20 "Sanitary and epidemiological requirements for separate modes of transport and transport infrastructure facilities". Retrieved March 4, 2025, from https://www.consultant.ru/document/cons_doc_LAW_372304
  16. Decree of the Government of the Russian Federation No. 1586 dated October 1, 2020 (as amended on March 23, 2024). On approval of rules for passenger and cargo transportation by motor vehicles and urban land electric transport. Retrieved March 4, 2025, from https://www.consultant.ru/document/cons_doc_LAW_364025
  17. Decree of the Government of the Russian Federation No. 1616 dated October 7, 2020 (as amended on December 23, 2021). On licensing activities related to passenger transportation by buses. Retrieved March 4, 2025, from https://www.consultant.ru/document/cons_doc_LAW_364706
  18. Lebedev, E. A., Konovalova, T. V., Senin, I. S., & Kotsuba, S. V. (2023). Preconditions for establishing a unified operator of urban passenger transportation. International Journal of Advanced Studies, 13(4), 62–78. https://doi.org/10.12731/2227-930X-2023-13-4-62-78
  19. Pyshny, V. A. (2013). Improving the efficiency of urban motor transport. Unpublished doctoral dissertation abstract. Orel. 20 p.
  20. Directive of the Ministry of Transport of the Russian Federation No. NA-19-r dated January 31, 2017. On approval of the social standard for transport service provision for passengers and cargo transported by motor vehicles and urban land electric transport. Retrieved March 4, 2025, from https://docs.cntd.ru/document/456042774
  21. Decision of Customs Union Commission No. 877 dated December 9, 2011 (as amended on September 27, 2023). On adoption of the Customs Union technical regulation "Safety of wheeled vehicles". Retrieved March 4, 2025, from https://www.consultant.ru/document/cons_doc_LAW_125114
  22. Spirin, I. V. (2020). Defining passenger travel time expenditures in cities. World of Transport, 18(3), 28–43. https://doi.org/10.30932/1992-3252-2020-18-28-43
  23. Spirin, I. V. (2012). Organization and Management of Passenger Motor Vehicle Transportation. Textbook for vocational institutions (7th ed.). Moscow: Academy. 400 pp.
  24. Federal Law No. 220-FZ dated July 13, 2015. On organizing regular passenger and cargo transportation by motor vehicles and urban land electric transport in the Russian Federation and amendments to several legislative acts of the Russian Federation. Retrieved March 4, 2025, from https://www.consultant.ru/document/cons_doc_LAW_182659
  25. Fomin, E. V. (2018). Improving the quality of passenger service in urban transport by optimizing the composition of the vehicle fleet. Unpublished doctoral dissertation. Krasnoyarsk. 136 p.
  26. Yakunina, N. V. (2013). Methodology for enhancing the quality of public motor vehicle passenger transportation. Unpublished doctoral dissertation abstract. Orenburg. 32 p.
  27. Yatsenko, S. A. (2012). Improving the quality of passenger service on urban bus routes using vehicles of varying capacity. Unpublished doctoral dissertation abstract. Irkutsk. 20 p.
  28. Based on determinants set in the USA by handbook for measuring customer satisfaction and service quality. (no year). Retrieved March 4, 2025, from https://www.trb.org/Publications/Blurbs/153801.aspx
  29. Dziaduch, I., & Peternek, P. (2024). Assessing public transport quality using AHP and SUTI indicator 4: A case study of the sustainable mobility plan in Wrocław, Poland. Sustainability, 16(24), 11182. https://doi.org/10.3390/su162411182
  30. De Aquino, J. T., de Melo, F. J. C., Jerônimo, T. d., & de Medeiros, D. D. (2019). Evaluation of quality in public transport services: The use of quality dimensions as an input for fuzzy TOPSIS. International Journal of Fuzzy Systems, 21(1), 176–193. https://doi.org/10.1007/s40815-018-0524-1
  31. Glock, J. P., & Gerlach, J. (2023). Berlin Pankow: A 15-minute city for everyone? A case study combining accessibility, traffic noise, air pollution, and socio-structural data. European Transport Research Review, 15(7). https://doi.org/10.1186/s12544-023-00577-2
  32. Li, X.-H., Huang, L., Li, Q., & Liu, H.-C. (2020). Passenger satisfaction evaluation of public transportation using Pythagorean fuzzy MULTIMOORA method under large group environment. Sustainability, 12, 4996. https://doi.org/10.3390/su12124996
  33. Raoniar, R., Rao, A. M., & Velmurugan, S. (2015). Public transport performance evaluation techniques — A review. Journal of Road Transport, 3(4).

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