The railway system is a fundamental component of the economy of most countries, since it has the capability to transport every day millions of passengers as well as millions of dollars’ worth of goods from origin to destination. According to many empirical works and papers, rail, which produces very low CO2 emissions, is one of the most environmentally friendly and safe transportation modes. Moreover, it is appreciated for its high energy efficiency. One of the most common and frequent issue about rail transport is the concept of arrival time, that is of punctuality and delay. The aim of the paper is twofold: it firstly provides a critical literature review on delay categories as a starting point for the development of a new, easy and complete classification of delay based on the link between motivations, causes and responsibility. Secondly, applying this classification, a panel data analysis with fixed effects has been performed to understand motivation and responsibility of the delay on an important Italian interregional railway line. Moreover, the application of survival analysis is used to understand the failure time probability of a train journey and to estimate the percentage of trains that arrive to a destination.
The importance of punctuality in rail transport investigation on the delay determinants
Grechi D.
;Maggi E.
2018-01-01
Abstract
The railway system is a fundamental component of the economy of most countries, since it has the capability to transport every day millions of passengers as well as millions of dollars’ worth of goods from origin to destination. According to many empirical works and papers, rail, which produces very low CO2 emissions, is one of the most environmentally friendly and safe transportation modes. Moreover, it is appreciated for its high energy efficiency. One of the most common and frequent issue about rail transport is the concept of arrival time, that is of punctuality and delay. The aim of the paper is twofold: it firstly provides a critical literature review on delay categories as a starting point for the development of a new, easy and complete classification of delay based on the link between motivations, causes and responsibility. Secondly, applying this classification, a panel data analysis with fixed effects has been performed to understand motivation and responsibility of the delay on an important Italian interregional railway line. Moreover, the application of survival analysis is used to understand the failure time probability of a train journey and to estimate the percentage of trains that arrive to a destination.
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