From Delay to Disruption: Impact of Service Degradation on Public Transport Networks

Author:

Marra Alessio Daniele1,Corman Francesco1

Affiliation:

1. Institute for Transport Planning and Systems, ETH Zürich, Zürich, Switzerland

Abstract

Public transport networks (PTN) are affected daily by different types of disturbances. In fact, between a single delay and a long service interruption, there is a range of disruptions with different impacts, depending on their characteristics. Despite this, in literature, the common definition of disruption is a link closure for a certain amount of time. Low interest is given to different types of disruptions or to the connection between delays and disruptions. In addition, in multimodal PTN a physical link closure is not always observable, but rather people experience delays or cancelled stops on different lines. The aim of this work is to explore the relationship between delays and disruptions, analyzing different degrees of disruptions, in relation to duration, delay, size, and network characteristics. Real disturbances of the PTNs in Zürich and Bern, Switzerland, are analyzed to identify disruptions with different characteristics. Therefore, the disruption impact is computed on simulated origin–destinations (ODs), based on the sets of possible paths with and without the disruption. For this purpose, a choice set generation algorithm is used. Finally, relationships between the disruption characteristics and the impact are analyzed to identify the main features of a disruption.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. How different network disturbances affect route choice of public transport passengers. A descriptive study based on tracking;Expert Systems with Applications;2023-03

2. Analysis and prediction of ridership impacts during planned public transport disruptions;Journal of Public Transportation;2022

3. Text-Based Delay Prediction in a Public Transport Monitoring System;Proceedings of the 29th International Conference on Advances in Geographic Information Systems;2021-11-02

4. Quantifying the cascading effects of passenger delays;Reliability Engineering & System Safety;2021-08

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