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Article

SERVICE RELIABILITY IN PUBLIC TRANSPORT – BUS LINE NUMERICAL EXAMPLE

DOI: 10.7708/ijtte2022.12(3).01


12 / 3 / 302-314 Pages

Author(s)

Aleksandar Bajić - City Public Transport Company “Belgrade”, Knjeginje Ljubice 29, 11000 Belgrade, Serbia -

Stanko Bajčetić - University of Belgrade – Faculty of Transport and Traffic Engineering, Vojvode Stepe 305, 11000 Belgrade, Serbia -

Slaven Tica - University of Belgrade – Faculty of Transport and Traffic Engineering, Vojvode Stepe 305, 11000 Belgrade, Serbia -

Predrag Živanović - University of Belgrade – Faculty of Transport and Traffic Engineering, Vojvode Stepe 305, 11000 Belgrade, Serbia -

Andrea Nađ - University of Belgrade – Faculty of Transport and Traffic Engineering, Vojvode Stepe 305, 11000 Belgrade, Serbia -


Abstract

Reliability in the public transport system represents one of the characteristics of the quality of service, which influences the system’s attractiveness and its potential for sustainable development. Reliability in the public transport system is characteristic of the system`s adequate performance in a specified time period. Reliability can be expressed via key performance indicators (KPIs). The precise evaluation of KPIs presents the approach in the reliability analysis. Line is a basic structural element of the public transport system. Line represents an example in reliability analysis and it can be used to develop a model that can be applied to the analysis of the entire system’s reliability. This paper presented a numerical example of the quality of service KPIs in public transport. The developed methodology and the selected KPIs are applied on one bus line in the city of Belgrade.


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References:

Carrasco, N. 2011. Quantifying public transport reliability in Zurich. In Proceedings of the 11th Swiss Transport Research Conference, Monte Verita, Ascona, 1-26.

 

Figliozzi, M.; Feng, Wu.; Lafferriere, G.; Feng, We. 2012. A Study of Headway Maintenance for Bus Routes: Causes and Effects of “Bus Bunching” in Extensive and Congested Service Areas. Portland State University, USA. 68 p.

 

Kimpell, T.; Strathman, J.; Callas, S. 2004. Improving Scheduling Through Performance Monitoring Using AVL/APC Data. University of Wisconsin, USA. 54 p.

 

Soza-Parra, J.; Raveau, S,; Munoz, J.C. 2021. Public transport reliability across preferences, modes, and space, Transportation 49: 621-640.

 

Tica, S.; Živanović, P.; Bajčetić, S. 2021. Technology of Passenger Transport [In Serbian: Tehnologija transporta putnika]. Faculty of Transport and Traffic Engineering, Serbia. 376 p.

 

Van Oort, N. 2011. Service Reliability and Urban Public Transport Design. Delft University of Technology, Netherlands. 276 p.

 

Vincent, M.P.; Hamilton, B.A. 2008. Measurement Valuation of Public Transport Reliability. Wellington: Land Transport New Zealand, New Zealand. 128 p.