Abstract
Interventions on infrastructure networks are required to ensure that they continue to provide the service expected of them. Although all existing methods for determining intervention programmes take into consideration, in some form, the costs and benefits associated with the interventions, there is a wide variation in exactly how it is done. With increasing strides to digitalise the determination of optimal intervention programmes, a systematic and quantitative method for determining their net benefits is required. The novelty in the proposed method is how the provided service and intervention costs over time are considered when determining optimal intervention programmes. It considers the difference between candidate intervention programmes and a reference intervention programme. In other words, it makes clear whether network-level considerations – for example, network-level synergies and constraints – should result in the intervention on an asset being executed earlier or later than indicated by the optimal asset life cycle. The method enables the use of advanced operations research algorithms in infrastructure-management systems and, therefore, helps enable the automated generation of optimal intervention programmes. For illustration, the method is used in the determination of the optimal intervention programme for a small railway network.
Highlights
Managers of transportation infrastructure networks must plan and execute interventions – for example, rehabilitation and renewal interventions – on their infrastructure networks over time to ensure that they continue to provide the required service
The example shows how the net benefit of an intervention programme can be quantified based on a reference intervention programme that is based on the optimal life cycles of the individual assets
The method presented in this paper can be used to quantify the net benefit of intervention programmes, which in turn can be used in the determination of the optimal intervention programme
Summary
Managers of transportation infrastructure networks must plan and execute interventions – for example, rehabilitation and renewal interventions – on their infrastructure networks over time to ensure that they continue to provide the required service. The planning of these interventions normally requires the development of intervention strategies and the determination of intervention programmes (Adey, 2019). The intervention strategies define how individual assets or a group of assets should ideally be managed in the long term – that is, maintained and renewed This refers to the determination of optimal asset life cycles considering the asset deterioration and the service provided over time. This method needs to include the effects of the networklevel synergies and constraints – that is, the impact of executing interventions out of their individual optimal point in time
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