Understanding the factors that influence the probability and time to streetcar bunching incidents
Paula Nguyen (),
Ehab Diab () and
Amer Shalaby ()
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Paula Nguyen: University of Toronto
Ehab Diab: University of Saskatchewan
Amer Shalaby: University of Toronto
Public Transport, 2019, vol. 11, issue 2, No 4, 299-320
Abstract:
Abstract Bunching is a well-known operational problem for transit agencies and it has negative impacts on service quality and users’ perception. While there has been a substantial amount of literature about understanding the factors associated with bus bunching and strategies used to mitigate the effects of this problem, there has been little research on streetcar bunching. Although bus and streetcar systems share many similarities, one major difference between the two is that streetcars cannot overtake each other. This makes bunching in streetcar networks more critical to the reliability of the system and an important topic that requires more in-depth understanding. This research aims at understanding the factors that are associated with the likelihood of streetcar bunching and to investigate in greater detail the external and internal factors that relate to the time to the initial bunching incident from terminal. To achieve the first goal, the study uses a binary logistic regression model, while it uses an accelerated failure time model to address the second goal. The study utilizes automatic vehicle location system data acquired from the Toronto Transit Commission, the transit provider for the City of Toronto. The models’ results show that headway deviations at terminals are related to both an increase in the probability of bunching and an acceleration of the time to bunching. The discrepancy in vehicle types between two successive streetcars also has the same relationship as headway deviations at terminals. This study offers a better understanding of the factors that are associated with streetcar service bunching, which is an important component of transit service reliability.
Keywords: Streetcar; Bunching; Reliability; Accelerated failure time (AFT) model; Survival analysis (search for similar items in EconPapers)
JEL-codes: L91 R42 (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (2)
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DOI: 10.1007/s12469-019-00201-4
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