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- W2316608720 abstract "This study examines the determinants of incidents that cause a delay to the service of urban metro rail systems using a panel dataset of 27 metros across 20 countries for the period 2004 to 2012. A major drawback of previous work is that due to data limitations, consideration could not be made for the different types of incidents that occur. This is a considerable hindrance as some of the explanatory variables that have been tested do not relate to all forms of incidents. For example, the type of wheel used is not likely to affect signalling, staff or passenger related incidents. As different types of incidents exist, these should be considered independently. Therefore, this study improves on previous work as the data facilitates investigations into incidents by type, allowing for a better understanding of the factors which are critical in achieving reliability. A generalised linear mixed effects Poisson regression is selected for application. This approach allows for investigation into factors which are thought to influence the occurrence of incidents while catering for the abnormal characteristics of the data, namely that the incidents are nonnegative integers which exhibit overdispersion. The results confirm the importance of scale, frequency and automation while also providing insight into the effects of maintenance, equipment, wages, training, comfort, and crowding." @default.
- W2316608720 created "2016-06-24" @default.
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- W2316608720 date "2016-01-01" @default.
- W2316608720 modified "2023-09-23" @default.
- W2316608720 title "Determinants of Rolling Stock, Signalling, Staff and Passenger Related Delay Incident Occurrence in Urban Metros" @default.
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