Evaluating bus accident risks in public transport

Porcu, Fabio; Olivo, Alessandro; Maternini, Giulio; Barabino, Benedetto

doi:10.1016/j.trpro.2020.03.037

Cited by 32 publications

(21 citation statements)

References 17 publications

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“…More precisely, referring to the winter weekdays, the risk values for each route are reported in Figure 2 and are presented by using a logarithm scale for ease. It is worth noting that, even if a different method was adoped to analyse data, the results of the route risk ranking are quite similar to those presented in Porcu et al (2020). However, unlike Porcu et al (2020), these models can show a different impact of the same factors at increasing rates of exposure.…”

Section: Resultsmentioning

confidence: 59%

“…It is worth noting that, even if a different method was adoped to analyse data, the results of the route risk ranking are quite similar to those presented in Porcu et al (2020). However, unlike Porcu et al (2020), these models can show a different impact of the same factors at increasing rates of exposure. Several observations can be made from these results, giving particular attention to the R1 routes.…”

Section: Resultsmentioning

confidence: 59%

“…Conversely, the adjusted index is computed by modelling the frequency and severity as functions of exposure factors as well as calibrating these models by real data. Furthermore, this methodology refines a previous study because it formulates the severity function as a direct economic cost including medical, legal emergency and property related damages for each crash and adopts the passenger*km as an exposure factor (Porcu et al, 2020).…”

Section: Introductionmentioning

confidence: 90%

“…Figure1: Adjusted methodology for the evaluation of the bus crash risk (adapted fromPorcu et al, 2020) …”

mentioning

confidence: 99%

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Assessing the Risk of Bus Crashes in Transit Systems

Porcu¹

2021

European Transport/Trasporti Europei

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Although public transport buses may be considered a safe transportation mode, bus safety is a crucial issue from the perspectives of operators, passengers and local authorities owing to the relevant implications it generates. Therefore, assessing the risk of crashes on bus routes may help improve the safety performance of transit operators. Much research has identified patterns of bus crashes to understand the effects of many factors on the frequency and the severity of them. Conversely, to the best of our knowledge, the research measuring the risk of crashes in bus transit networks is seldom faced. This paper adjusts existing methods to assess the safety on bus transit networks by the integration of safety factors, prediction models and risk methods. More precisely, first, the methodology identifies several safety factors as well as the exposure risk factors. Second, this methodology specifies the risk components in terms of frequency, severity and exposure factors that may affect bus crashes and models their relationships in a risk function. Third, this methodology computes the risk of crashes for each route and provides a ranking of safety performance. A real case study demonstrates the feasibility of this methodology using 3,457 bus crashes provided by a mid-sized Italian bus operator. This experiment shows that transit managers could adopt this methodology to perform an accurate safety analysis on each route. Moreover, this methodology could be implemented in a road traffic safety management system in order to evaluate the risk of crashes on routes, monitor the safety performance of each route and qualify each route according to recent safety norms.

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Section: Resultsmentioning

confidence: 59%

Section: Resultsmentioning

confidence: 59%

Section: Introductionmentioning

confidence: 90%

“…Figure1: Adjusted methodology for the evaluation of the bus crash risk (adapted fromPorcu et al, 2020) …”

mentioning

confidence: 99%

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Assessing the Risk of Bus Crashes in Transit Systems

Porcu¹

2021

European Transport/Trasporti Europei

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“…The supply quality criteria of public transport system have been thoroughly investigated in the recent years. A specific attention has been paid to on-board physical and mental comfort [1,18,31,42], system reliability [20,27,53], system accessibility [45,50], safety at stops [13,26] and safety on-board [8,48].…”

Section: Literature Review On Mcdm Methodologies and Public Transportmentioning

confidence: 99%

An integrated grey AHP-MOORA model for ameliorating public transport service quality

Moslem

Çelikbilek

2020

Eur. Transp. Res. Rev.

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Introduction Public transport systems provide essential mobility service to citizens who do not have access to private cars. Public transport also plays a significant role in minimizing road congestions, air pollution, journey time and energy consumption. Public transport service quality need efficient strategic plans to be able to increase user’s satisfaction and attract non-user’s. Objectives To achieve this target, a combined model of the Analytic Hierarchy Process (AHP) with Multi Objective Optimization Method by Ratio Analysis (MOORA) based on grey optimization has been adopted, as a case study, the public bus transport system in Budapest, Hungary has been opted. Methods The weight scores of the evaluation criteria are conducted based on transport experts' assessments. When the studies in the literature are reviewed, it is observed that the success of the MOORA technique about decision making is remarkable. Also, there is not an agreed and validated grey MOORA technique in the literature. Thus, an integrated grey AHP and grey MOORA technique is proposed in this study to evaluate the public transport service quality. Grey based multi-criteria decision making methods are very useful to decrease the subjectivity of the decision makers. Results The importance of criteria has been computed by conducting grey AHP approach while the alternatives that have been preferred mostly within the certain criteria have been estimated by adopting grey MOORA method. Finally, the findings of the proposed model shed the light on “Provide new buses” as the most desired alternative for developing the service quality of public bus transport in Budapest. Conclusion The proposed model provides reliable and robust results for improving public transport service quality. The local government representatives in Budapest may use the obtained results in their future strategic plans for developing public bus transport system.

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