Predicting Costs of City Buses’ Incapacity Risk

Niewczas, Andrzej; Mórawski, Łukasz; Dębicka, Ewa; Rymarz, Joanna

doi:10.2478/jok-2019-0022

Cited by 3 publications

(3 citation statements)

References 1 publication

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“…The measure of risk, similarly to risk RN, is expressed by formula (5). Ultimately, based on formulas (5), ( 14) and ( 15), the sub-risk of incapacity due to customer (user) migration is expressed by formula (16).…”

Section: Model Of the Integrated Risk Of The Operational Incapacity O...mentioning

confidence: 99%

“…Ensuring a high level of reliability, in addition to the availability of reserve vehicles, also requires a cyclical replacement of worn-out vehicles. The practice of enterprise management involves important problems as regards the methods used to determine the optimum life cycle and vehicle make [16,17]. In paper [16] operational efficiency assessment model was presented.…”

Section: Introductionmentioning

confidence: 99%

“…The practice of enterprise management involves important problems as regards the methods used to determine the optimum life cycle and vehicle make [16,17]. In paper [16] operational efficiency assessment model was presented. Model includes unplanned incidental repairs costs, downtime costs, as well as the likelihood of losing customer-passenger's trust.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Operational risk assessment model for city buses

Niewczas¹,

Mórawski²,

Rymarz³

et al. 2023

Eksploatacja i Niezawodność – Maintenance and Reliability

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The development of public transport systems presently focuses on sustainability. In this situation, the issue of user (passenger) migration has become important to the transport company as a service provider. This paper presents an integrated model of the operational risk of vehicle incapacity, including the following: costs of incidental repairs, costs of unplanned downtime and costs resulting from potential user migration. The paper presents the results of operational research on buses of two makes over a period of 6 years, in the mileage range of 0–420 000 km. The authors have determined the risk as a regression function of operational mileage to estimate the optimum life cycle. The quality of the vehicle was assessed using the criterion of the maximum cost of the operational incapacity risk being equal to the current residual value of the vehicle. The research results confirmed the suitability of the integrated risk model for a comparison of vehicle makes and assessment of their reasonably foreseeable life cycle in a balanced carrier-vehicleuser system.

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Section: Model Of the Integrated Risk Of The Operational Incapacity O...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Operational risk assessment model for city buses

Niewczas¹,

Mórawski²,

Rymarz³

et al. 2023

Eksploatacja i Niezawodność – Maintenance and Reliability

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

Rymarz¹,

Borucka²,

Niewczas³

2021

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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.

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A Decision-Making Model on the Impact of Vehicle Use on Urban Safety

2021

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In the current era of urban development, people are already using electric vehicles more and more often for transport purposes, which reduces negative impacts on the environment. However, there are still vehicles in towns and cities that run on ordinary internal combustion engines. Performing optimization measures on the operation of these vehicles improves their performance, which can result in positive sustainable development effects. This article presents measures to reduce the wear and tear of urban vehicles and outlines a decision model to determine which of the vehicle parts described suffer the most frequent wear and tear under urban conditions. The article presents a list of structural elements that are most affected by urban traffic, as well as corrective actions to improve such specialized vehicles. Based on the decision analysis, Rule 1 was eliminated as having the least significant impact on vehicle wear and tear, and the least significant impact on urban safety. On the other hand, the most worn-out elements were found to be gearboxes, clutches, bus levelling electronics, and brake pads and discs. The decision-making model made it possible to identify the factors which have the greatest impact on reducing safety in urban spaces.

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Predicting Costs of City Buses’ Incapacity Risk

Cited by 3 publications

References 1 publication

Operational risk assessment model for city buses

Operational risk assessment model for city buses

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

A Decision-Making Model on the Impact of Vehicle Use on Urban Safety

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