Abstract
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.
Highlights
IntroductionVehicle failures and organizational shortcomings often substantially increase passenger waiting time
In public transport systems, vehicle failures and organizational shortcomings often substantially increase passenger waiting time
Randomness of bus departure times and travel times has an influence on the quality of transport services [1]
Summary
Vehicle failures and organizational shortcomings often substantially increase passenger waiting time. Randomness of bus departure times and travel times has an influence on the quality of transport services [1]. In a situation when compliance with the timetable is the major requirement, the real travel time in the whole transport system is adjusted to a vehicle with the lowest operational speed. In the literature, this phenomenon is known as “bunching”. Bunching forces passengers to arrive early at stations and to budget long travel time [2,3,4,5]
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