Mobility operator service capacity sharing contract design to risk-pool against network disruptions

We propose a new mechanism to design risk-pooling contracts between operators to improve service resilience during disruptions. We formulate a novel two-stage stochastic multicommodity flow model to determine the cost savings of a coalition under different disruption scenarios and solve it using L-shaped method along with sample average...

Special issue on “Reliability and resilience of emerging mobility systems”, an editorial note

This Editorial Note accompanies the special issue devoted to the development of new concepts, theories and methods that address reliability and resilience related to the planning, dynamic operation, and level of service of novel mobility systems. This special issue on ‘Reliability and Resilience of Emerging Mobility Systems’ consists of seven...

Analysis and prediction of ridership impacts during planned public transport disruptions

Urban metro and tram networks are regularly subject to planned disruptions, including closures, resulting from the need to maintain and renew infrastructure. In this study, we first empirically analyse the passenger demand response to planned public transport disruptions based on individual passenger travel behaviour, based on which we infer...

Metropolitan rail network robustness

In large-scale urban agglomerations, heavy rail in the form of metro and commuter train serves as the backbone of the metropolitan public transport network. The objective of this paper is to investigate whether networks with strikingly different structure and development pattern exhibit different robustness properties in the event of random...

Predicting disruptions and their passenger delay impacts for public transport stops

Disruptions in public transport can have major implications for passengers and service providers. Our study objective is to develop a generic approach to predict how often different disruption types occur at different stations of a public transport network, and to predict the impact related to these disruptions as measured in terms of...

Macroscopic multiple-station short-turning model in case of complete railway blockages

In case of railway disruptions, traffic controllers are responsible for dealing with disrupted traffic and reduce the negative impact for the rest of the network. In case of a complete blockage when no train can use an entire track, a common practice is to short-turn trains. Trains approaching the blockage cannot proceed according to their...

Assessing disruption management strategies in rail-bound urban public transport systems from a passenger perspective

This paper provides a framework for generating and assessing alternatives<br/>in case of disruptions in rail-bound urban public transport systems,. The proposed<br/>framework considers the passenger perspective as well as the operator perspective,<br/>for the often-used measures of detouring and short-turning. An application of the<br/>framework...

Impact of railway disruption predictions and rescheduling on passenger delays

Disruptions such as rolling stock breakdown, signal failures, and accidents are recurrent events during daily railway operation. Such events disrupt the deployment of resources and cause delay to passengers. Obtaining a reliable disruption length estimation can potentially reduce the negative impact caused by the disruption. Different factors...

Railway disruption management challenges and possible solution directions

This paper investigates the challenges of railway traffic controllers in dealing with big disruptions and the kind of support tools that could help to improve their task in terms of performance, lead time and workload. The disruption handling process can be partitioned into three phases resembling a bathtub. For each phase the essential...

A robust transfer inference algorithm for public transport journeys during disruptions

Disruptions in public transport have major impact on passengers and disproportional effects on passenger satisfaction. The availability of smart card data gives opportunities to better quantify disruption impacts on passengers’ experienced journey travel time and comfort. For this, accurate journey inference from raw transaction data is required...

Beyond a Complete Failure: The Impact of Partial Capacity Degradation on Public Transport Network Vulnerability

Disruptions in public transport networks (PTNs) often lead to partial capacity reductions rather than complete closures. This study aims to move beyond the vulnerability analysis of complete failures by investigating the impacts of a range of capacity reductions on PTN performance. The relation between network performance and the degradation of...

A Microscopic Model for Optimal Train Short-Turnings during Complete Blockages

Currently railway traffic controllers use predefined solutions (contingency plans) to deal with a disruption. These plans are manually designed by expert traffic controllers and are specific to a certain location and timetable. With a slight change in the timetable or infrastructure, these plans might not be feasible and have to be updated....

The Robustness Value of Public Transport Development Plans

Investments in transport are increasingly motivated by the need to improve its robustness — the capacity to absorb disturbances with a minimal impact on system performance. Nonetheless, there is lack of knowledge on how to assess and quantify the robustness value of new investments. This study investigates the robustness of alternative public...

Beyond a complete failure: The impact of partial capacity reductions on public transport network vulnerability

Disruptions often result with partial capacity reduction without resulting with a complete breakdown. This study aims to move beyond the analysis of complete failure by investigating the impacts of partial capacity reduction on public transport network performance. We analyse the relation between the extent of capacity reduction at the line...

Exposing the role of exposure: Identifying and evaluating critical links in public transport networks

Network vulnerability depends on the probability that adverse events occur and on the impacts of such disruptions on network functionality. Most studies on transport network vulnerability have only analysed vulnerability in terms of the reduction in performance indicators given that a disruption occurs. This study presents and applies a method...

Optimal rerouting of short-turning trains during track obstructions

Railway trafic controllers have only limited decision support to deal with disruptions. The aim of this research is to provide an algorithm to compute conflict-free routes for trains that cannot continue their planned operation due to a track obstruction. In case of complete blockage, trains need to short-turn at the closest possible station to...

The Resilience Value of Public Transport Development Plans

Investments in transport are increasingly motivated by the need to improve its resilience – the overall capability to maintain system integrity and functionality. Nonetheless, there is lack of knowledge on how to assess their impact on network resilience. This study investigates the resilience of alternative public transport networks by...