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Maternini, Giulio

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Chart of shared publication
Martinelli, V. - 1 publications, 1 shared
Bonera, Michela - 6 publications, 5 shared
Barabino, Benedetto - 23 publications, 7 shared
Ventura, R. - 3 publications, 2 shared
Coni, M. - 4 publications, 1 shared
Porcu, F. - 2 publications, 2 shared
Olivo, A. - 3 publications, 2 shared
Boglietti, S. - 1 publications, 1 shared
VETTURI, David - 7 publications, 1 shared
Tiboni, Michela - 12 publications, 1 shared
Maltinti, Francesca - 5 publications, 1 shared
Garau, Chiara - 6 publications, 1 shared
Coni, Mauro - 6 publications, 1 shared
Pinna, Francesco - 5 publications, 1 shared
Rassu, Nicoletta - 2 publications, 1 shared
Porcu, Fabio - 2 publications, 1 shared
Olivo, Alessandro - 2 publications, 1 shared
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2017

article

Assessing the risk of bus crashes in transit systems

  • Bonera, Michela
  • Barabino, Benedetto
  • Coni, M.
  • Maternini, Giulio
  • Porcu, F.
  • Olivo, A.
Abstract

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.

Topics
  • managerial personnel
  • forecasting model
  • vehicle occupant
  • road
  • case study
  • highway traffic
  • passenger
  • bus
  • bus transportation
  • bus traffic
  • bus driver
  • traffic safety
  • supervisor
  • safety analysis
  • risk analysis
  • safety management
  • bus route
  • transit operator
  • urban transit
  • bus crash