Communications - Scientific Letters of the University of Zilina 2021, 23(4):A241-A247 | DOI: 10.26552/com.C.2021.4.A241-A247

Evaluation of Impact of the Operational and Technical Factors on Downtime of Municipal Buses Based on a Linear Regression Model

Joanna Rymarz ORCID...1, Anna Borucka ORCID...2, Andrzej Niewczas ORCID...3
1 Faculty of Mechanical Engineering, Lublin University of Technology, Lublin, Poland
2 Faculty of Logistics and Management Security, Military University of Technology, Warsaw, Poland
3 Motor Transport Institute, Warsaw, Poland

The objective of this study was to assess the effect of selected operational and technical factors on downtime of vehicles. The sample consisted of buses from a municipal transport company (Poland). Estimation of parameters of a linear regression model was performed. Month of failure (downtime event) and its type were used as predictors. Failures were divided into three categories: events related to the company´s operations, including vehicle failures (1) and other (organizational) problems (2), as well as failures caused by external factors unrelated to the operations of the transport company (3). The downtime was found to be significantly associated with failure type and month of failure. A linear regression model of downtime with a reduced number of impact factors, taking into account two main failure types and two main periods of their occurrence during the year, was developed.

Keywords: municipal buses; downtime; linear regression; failure

Received: September 18, 2020; Accepted: March 16, 2021; Prepublished online: September 16, 2021; Published: October 1, 2021  Show citation

ACS AIP APA ASA Harvard Chicago IEEE ISO690 MLA NLM Turabian Vancouver
Rymarz, J., Borucka, A., & Niewczas, A. (2021). Evaluation of Impact of the Operational and Technical Factors on Downtime of Municipal Buses Based on a Linear Regression Model. Communications - Scientific Letters of the University of Zilina23(4), A241-247. doi: 10.26552/com.C.2021.4.A241-A247
Download citation

References

  1. SAVSAR, M. Modeling and simulation of maintenance operations at Kuwait public transport company. Kuwait Journal of Science [online]. 2013, 40(2), p. 115-129. ISSN 2307-4108, eISSN 2307-4116. Available from: https://journalskuwait.org/kjs/index.php/KJS/article/view/120
  2. BERREBI, S. J., WATKINS, K. E., LAVAL, J. A. A real-time bus dispatching policy to minimize passenger wait on a high frequency route. Transportation Research Part B: Methodological [online]. 2015, 81(2), p. 377-389. ISSN 0191-2615. Available from: https://doi.org/10.1016/j.trb.2015.05.012 Go to original source...
  3. BORUCKA, A, NIEWCZAS, A, HASILOVA, K. Forecasting the readiness of special vehicles using the semi- Markov model. Eksploatacja i Niezawodnosc - Maintenance and Reliability [online]. 2019, 21(4), p. 662-669. ISSN 1507-2711. Available from: http://dx.doi.org/10.17531/ein.2019.4.16 Go to original source...
  4. CABAN J., DROZDZIEL, P., KRZYWONOS, L., RYBICKA, I.,SARKAN, B., VRABEL, J. Statistical analyses of selected maintenance parameters of vehicles of road transport companies. Advances in Science and Technology Research Journal [online]. 2019, 13(1), p. 1-13. ISSN 2299-8624. Available from: https://doi.org/10.12913/22998624/92106 Go to original source...
  5. CHERNOYAROV, O. V., KUTOYANTS, Y. A., MARCOKOVA, M. On frequency estimation for partially observed system with small noises and observation equations. Communications - Scientific Letters of the University of Zilina [online]. 2018, 20(1), p. 67-72. ISSN 1335-4205, eISSN 2585-7878. Available from: http://komunikacie.uniza.sk/index.php/communications/article/view/48 Go to original source...
  6. HICKMAN, M. D. An analytic stochastic model for the transit vehicle holding problem. Transportation Science [online]. 2001, 35(3), p. 215-237. ISSN 0041-1655, eISSN 1526-5447. Available from: https://doi.org/10.1287/trsc.35.3.215.10150 Go to original source...
  7. LALANNE, C., MESBAH, M. Measures of association, comparisons of means and proportions for two samples or more. In: Biostatistics and Computer-based Analysis of Health Data using Stata. 1. ed. ISTE Press - Elsevier, 2016. ISBN 9781785481420, eISBN 9780081010846, p. 25-57. Go to original source...
  8. DAGANZO, C. F. A headway-based approach to eliminate bus bunching: Systematic analysis and comparisons. Transportation Research Part B: Methodological [online]. 2009, 43, p. 913-921. ISSN 0191-2615. Available from: https://doi.org/10.1016/j.trb.2009.04.002 Go to original source...
  9. EDWARD, K., BEATA, K., DARIUSZ, K., DARIUSZ, M. Survival function in the analysis of the factors influencing the reliability of water wells operation. Water Resources Management [online]. 2019, 33(14), p. 4909- 4921. ISSN 0920-4741, eISSN 1573-1650. Available from: https://doi.org/10.1007/s11269-019-02419-0 Go to original source...
  10. MORALES, D., MUNOZ, J. C., GAZMURI, P. A stochastic model for bus injection in a public transport service. Transportation Research Procedia [online]. 2019, 38, p. 688-708. ISSN 2352-1465. Available from: https://doi.org/10.1016/j.trpro.2019.05.036 Go to original source...
  11. ADAMSKI, A., TURNAU, A. Simulation support tool for real-time dispatching control in public transport. Transportation Research Part A: Policy and Practice [online]. 1998, 32(2), p. 73-87. ISSN 0965-8564. Available from: https://doi.org/10.1016/S0965-8564(97)00019-0 Go to original source...
  12. NIEWCZAS, A. MORAWSKI, L., DEBICKA, E. BORUCKA, A. Commercial vehicles incapacity risk analysis in the transport company. Journal od KONBiN [online]. 2019, 49(4), p. 321-340. ISSN 2083-4608, eISSN 2083-4608. Available from: https://doi.org/10.2478/jok-2019-0089 Go to original source...
  13. NIEWCZAS, A., MORAWSKI, L., DEBICKA, E., RYMARZ, J. Predicting costs of city buses' incapacity risk. Journal of KONBiN [online]. 2019, 49(1) p. 425-448. ISSN 2083-4608, eISSN 2083-4608. Available from: https://doi.org/10.2478/jok-2019-0022 Go to original source...
  14. NIEWCZAS, A., RYMARZ, J., DEBICKA, E. Stages of operating vehicles with respect to operational efficiency using city buses as an example. Eksploatacja i Niezawodnosc - Maintenance and Reliability [online]. 2019, 21(1), p. 21-27. ISSN 1507-2711. Available from: http://dx.doi.org/10.17531/ein.2019.1.3 Go to original source...
  15. RYMARZ, J., NIEWCZAS, A., STOKLOSA, J. Reliability evaluation of the city transport buses under actual conditions. Transport and Telecommunication Journal [online]. 2015, 16(4), p. 259-266. ISSN 1407-6179, eISSN 1407-6179. Available from: https://doi.org/10.1515/ttj-2015-0023 Go to original source...
  16. SANCHEZ, S. A. Optimizing performance-based mechanisms in road management: an agency theory approach. European Journal of Transport and Infrastructure Research [online]. 2015, 15(4), p. 465-481. ISSN 1567-7141. Available from: https://doi.org/10.18757/ejtir.2015.15.4.3092 Go to original source...
  17. ZAWIERZCHOWSKA, M. Evaluation of the quality of public transport services - selection of variables to be tested by the Delphic method. Autobusy. 2018, 19(5), p. 18-21. ISSN 1509-5878, eISSN 2450-7725. Go to original source...
  18. ZHAO, F., ZENG, X. Optimization of transit route network, vehicle headways and timetables for large-scale transit networks. European Journal of Operational Research [online]. 2008, 186(2), p. 841-855. ISSN 0377-2217. Available from: https://doi.org/10.1016/j.ejor.2007.02.005 Go to original source...

This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, distribution, and reproduction in any medium, provided the original publication is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.