Assessment of the influence of selected factors on the punctuality of an urban transport fleet

• Autorzy: Grzelak Małgorzata , Borucka Anna , Świderski Andrzej

Identyfikatory

DOI

10.21307/tp-2020-069

• Języki publikacji: EN

Abstrakty

EN

Urban transport systems operate according to fixed, strict timetables, which requires high timeliness and technical readiness of the fleet. Therefore, this article proposes a detailed study of the punctuality of the public transport system using a multiple regression model for the main modes of transport (trams, buses, and Warsaw Metro). The analysis made it possible to go beyond the framework of the overall assessment and to identify the factors that have a significant effect on the punctuality index and to indicate the degree of this effect. The obtained results are a universal tool to assess the punctuality level of the urban transport fleet and to support decision making in the scope of organization of their work, which can be implemented in any similar transport system. The specification of the number of breakdowns, road accidents, or unauthorized stopping of a vehicle as the main causes of delays is the basis for taking corrective measures related to the improvement of the fleet operation system, or for preventive measures. The development of such models is practical in both public transport systems and similar companies providing transport services. For such institutions, the parameter of punctuality is extremely important and affects the quality of the services offered and the reputation of the company, which translates into the numer of customers and potential profit. Therefore, it is important to investigate the factors that shape the punctuality of the tasks performed. It allows for shaping the processes of fleet control and management. It is also worth emphasizing the scientific aspect of the publication, which is the presentation of the possibilities of applying selected mathematical models in such analyses, indication of the conditions of their application, and presentation of possible results together with their interpretation.

Słowa kluczowe

EN

public transport; punctuality; multiple regression

PL

transport publiczny; punktualność; regresja wieloraka

• Wydawca: Wydawnictwo Politechniki Śląskiej
• Czasopismo: Transport Problems
• Rocznik: 2020
• Tom: T. 15, z. 4, cz. 2
• Strony: 311--323
• Opis fizyczny: Bibliogr. 22 poz.

Twórcy

autor

Grzelak Małgorzata

• Military University of Technology, Faculty of Security, Logistics and Management, Kaliskiego 2, 00-908 Warsaw, Poland

autor

Borucka Anna

• Military University of Technology, Faculty of Security, Logistics and Management, Kaliskiego 2, 00-908 Warsaw, Poland

autor

Świderski Andrzej

• Military University of Technology, Faculty of Security, Logistics and Management, Kaliskiego 2, 00-908 Warsaw, Poland

Bibliografia

• 1. Abkowitz, M. & Engelstein, I. Factors affecting running time on transit routes. Transportation Research Part A. 1983. No. 17A(2). P. 107-113.
• 2. Ahmed, S. & Dey, K. Resilience modeling concepts in transportation systems: a comprehensive review based on mode, and modeling techniques. Journal of Infrastructure Preservation and Resilience. 2020. No. 1(8). Available at: https://doi.org/10.1186/s43065-020-00008-9.
• 3. Bus Punctuality Partnerships – Guidance for local authorities and operators. Available at: https://webarchive.nationalarchives.gov.uk/20111005154043/http://assets.dft.gov.uk/publications/bus-punctuality-partnerships-guidance/bus-punctuality-partnerships-guidance.pdf.
• 4. Bates, J. Definition of practices for bus on-time performance: preliminary study. Washington: National Research Council. 1986.
• 5. Chen, X. & et al. Analyzing Urban Bus Service Reliability at the Stop, Route, and Network Levels. Transportation Research Part A. 2009. No. 43. P. 722-734.
• 6. Informator statystyczny ZTM. [In Polish: ZTM Statistical Guide]. Available at: https://www.ztm.waw.pl/statystyka.php?c=664&l=1.
• 7. Napiah, M. & Kamaruddin, I. & Suwardo, I. Punctuality Index and Expected Average Waiting Time of Stage Buses in Mixed Traffic. In: Proceedings 17th International Conference on Urban Transport and The Environment. Rome. 2011. P. 279-310.
• 8. Noorfakhriah, Y. & Madzlan, N. Public transport: Punctuality index for bus operation. World
• Academy of Science, Engineering and Technology. 2011. No. 60. P. 857-862.
• 9. Olsson, O.E.N. & Haugland, H. Influencing factors on train punctuality – results from some Norwegian studies. Transport Policy. 2004. No. 11(4). P. 387-397.
• 10. PN-EN 13816:2004. Transport – Logistyka i usługi – Publiczny Transport Pasażerski – Definicje, cele i pomiary dotyczące jakości usług. [In Polish: Transport - Logistics and services – Public Passenger Transport - Definitions, goals and measurements regarding the quality of services. Warsaw: Polish Committee of Standardization].
• 11. Rabiej, M. Analizy statystyczne z programami Excel i Statistica. Gliwice: Helion. 2018. P. 236-238. [In Polish: Statistical analysis with Excel and Statistica].
• 12. Rietveld, P. & Bruinsma, F.R. & van Vuuren, D.J. Coping with unreliability in public transportation chains: a case study for Netherlands. Transportation Research Part A. 2001. No. 35. P. 539-559.
• 13. Rudnicki, A. Measures of regularity and punctuality in public transport operation. Transportation systems. In: Eight International Symposium „Transport Systems 97”. Chania, 1997.
• 14. Salicru, M. & Fluerent, C. & Armengol, J.M. Timetable-based operation in urban transport: Runtime optimization and improvements in the operation process. Transportation Research Part A. 2011. No. 45. P. 721-740.
• 15. Seung-Young, K. Jun-Sik, P. & Young-Ho, K. & Eun-Ho, K. A development of Punctuality Index for bus operation. Eastern Asia Society for Transportation Studies. 2005. No. 6. P. 492-504.
• 16. Stanisz, A. Modele regresji logistycznej. Zastosowanie w medycynie, naukach przyrodniczych i społecznych. Kraków: StatSoft. 2016. P. 142-146. [In Polish: Logistic regression models. Application in medicine, natural and social sciences].
• 17. Starowicz, W. Jakość przewozów miejskich w transporcie zbiorowym. Kraków: Wydawnictwo PK. 2007. P. 65-68. [In Polish: The quality of urban transport in public transport].
• 18. Sterman, B. & Schofer, J. Factors affecting reliability of urban bus service. Transportation Engineering Journal. No. 102. 1976. P. 147-159.
• 19. Strathman, J. & Hopper, J. Empirical analysis of bus transit on-time performance. Transportation Research Part A. No. 27A(2). 1993. P. 93-100.
• 20. Toth, A. & Kresz, M. An efficient solution approach for real-worlddriver scheduling problems in urban bus transportation. Central European Journal of Operations Research. No. 21. 2013. P. 75-94.
• 21. Tubis, A & Gruszczyk, A. Measurement of punctuality of services at a public transport company. In: Carpathian Logistics Congress. Czechia. 2015.
• 22. Turnquist, M.A. A model for investigating the effects of service frequency and reliability on bus passenger waiting times. Journal of the Transportation Research Board. No. 663. 1978. P. 70-73.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021)