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M. van den Boomen

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A Case in Infrastructure Management

Journal article (2026) - Merlijn Kamps, M. van den Boomen, Johan Bogaard, van den, Marcel Hertogh
Ensuring long-term knowledge continuity is a key challenge for organizations managing the long-cycle maintenance of complex infrastructure. This paper explores how agency-led research programs can support dynamic knowledge continuity within the Dutch Directorate-General for Public Works and Water Management (Rijkswaterstaat, RWS), particularly in relation to its storm surge barriers. The long-cycle maintenance of the storm surge barriers faces long redesign cycles which result in a challenging human capital development environment with regards to specialist knowledge domains. Current knowledge of complex barrier systems is of a distributed nature following several decades of intensive outsourcing. At present the agency is investing in research programs aimed to strengthen its knowledge in strategic areas. This article aims to add to the limited literature of leveraging research efforts for long term knowledge continuity in a distributed knowledge environment. The research was conducted using questionnaires and semi-structured interviews. Fourteen respondents comprise of active researchers, research supervisors, and research managers. Researchers acquire high levels of proficiency in critical engineering knowledge domains. This equates to the development of valuable human capital that flows from the program when researchers complete their projects. Researchers were found to be highly motivated to stay on and locally implement their findings or contribute to their domain of engineering knowledge. Results include nine ways in which the research programs contribute to long-term knowledge continuity, of which human capital development is the most important. The study further reveals that while research programs effectively cultivate deep technical expertise, their potential is underutilized due to limited follow-up employment opportunities and a lack of strategic alignment with staffing and insourcing. We argue that research-developed talent should be strategically integrated into local technical teams to strengthen RWS’s internal capabilities, foster standardization, and ensure preparedness for long-cycle maintenance and redesign challenges. Our findings inform both theoretical perspectives on dynamic knowledge management and practical strategies for asset-intensive public organizations. ...
Worldwide, cities rely on the proper functioning of critical infrastructures (CIs) such as electricity, telecommunication, water supply and transportation. Failure of those infrastructures can lead to significant and long-lasting impacts, even far beyond the flooded areas due to cascading effects. Local authorities are eager to take action to reduce flood risk and strive to increase the resilience of their communities. However, CI are often not considered in flood risk assessments. One of the reasons is that CI operators do not share their CI data and internal risk assessments. Therefore, an integral view on flood risk is lacking and risks may be unidentified or underestimated. To overcome this limitation, in this paper we propose an integrated framework for flood risk assessment of urban critical infrastructures (UCIs) for local authorities, which is based on publicly available and field-surveyed CI data. The proposed framework supports cities to carry out cross-sectoral risk screenings on urban district level to evaluate the need for in-depth risk assessments and risk dialogues with CI operators. ...
Journal article (2026) - Yara Kharoubi, Martine van den Boomen, Johan van den Bogaard, Marcel Hertogh
Organisations aim to create value from infrastructure assets under varying circumstances with asset management. Asset management is inherently complex with multiple interacting actors and processes, varying asset stages, and evolving contextual conditions. While performance management should enable the evolution and improvement of asset management, conventional approaches often neglect its complexity and dynamic nature. In this study, we adopt a sociotechnical system perspective to asset management performance to (i) explain how performance results from interdependencies across social and technical elements and their alignment and (ii) embed adaptation to contextual change as intrinsic to performance management. We developed and demonstrated this perspective with an abductive research approach based on an in-depth study of asset management for storm surge barriers, providing a unique and safety-critical infrastructure context. We iterated between theory and field data to code interdependency associated with performance pathways and consolidated them into sociotechnical alignments. Based on these empirical results, we developed a conceptual model for monitoring and managing asset management performance over time, connecting it to leading indicators and performance outcomes. We made the model actionable by linking contextual signals to the alignments they disturb and directing targeted sociotechnical adjustments. By integrating sociotechnical systems into asset management performance, this study contributes to the theory with a contemporary approach to performance, while emphasising adaptation. The findings provide context-specific insights while demonstrating a methodological approach that can be adapted to other infrastructure domains operating under dynamic governance and operational conditions. ...

Sensitivities to urban development, sea level rise, and adaptation

Uncertainties in the rate of sea level rise, coupled with ongoing urban expansion, are a challenge for city planners designing flood risk adaptation strategies. This study quantifies flood exposure in Rotterdam's unembanked areas from 1970 to 2150. We modelled flood hazards for 10-, 100-, and 1000-year return periods under both low- (RCP2.6) and high-emission (RCP8.5) scenarios while assessing exposure using historic and planned urban development data. Temporal variations in exposure rates are attributed to three factors: urban development, sea level rise, and the construction of the Maeslant storm surge barrier. Without adaptation measures, flood exposure in Rotterdam's unembanked areas is projected to increase. Under RCP8.5, exposure rates for 10-year flood events are expected to increase 7-fold by 2150 compared to 2020. For RCP2.6, a 3-fold increase is projected for 10-year events, reflecting uncertainties in long-term sea level rise. A retrospective analysis reveals a decrease in flood exposure: exposure levels observed in 2020 were approximately half those observed in 1996, due to construction of the Maeslant barrier. Exposure rates are primarily influenced by the Maeslant barrier, followed by sea level rise and urban development. Understanding the interplay of these three factors is crucial for urban planning and flood risk management in delta cities. ...
Journal article (2024) - Yara Kharoubi, Martine van den Boomen, Johan van den Bogaard, Marcel Hertogh
Due to increasing flood risks, storm surge barriers become crucial for the socioeconomic continuity of coastal areas. They provide flood protection, especially against extreme events, by operating under specific circumstances. This imposes high-performance requirements for storm surge barriers and their asset management during their lifetime and emphasises the role and criticality of their asset management. For this purpose, the research investigates asset management for storm surge barriers by focusing on the approach in the Netherlands and analysing it relative to distinctive characteristics of storm surge barriers. Based on thematic analysis, the study unfolds that barriers’ characteristics: (1) clarify the vital motives for the asset management approach, (2) confront the approach with challenging conditions, resulting in further maturation of the approach, and (3) require ongoing support from the approach, enforcing continuous improvement and resilience of the asset management approach. These findings demonstrate the strong influence of barriers’ characteristics on their asset management approach and provide a fundamental understanding of asset management for storm surge barriers. This supports flood defence authorities in the development and improvement of asset management for storm surge barriers and underpins associated complexities for future designs and research. Furthermore, the study assists in tailoring approaches for other assets. ...
Conference paper (2024) - Merlijn Kamps, Johan van den Bogaard, Martine van den Boomen, Marcel Hertogh
The infrastructure we build is increasingly complicated and automated. After it is designed and constructed, it needs to be maintained and updated to sustain its functioning for far longer than the careers of its designers and builders. Continuity of engineering knowledge is necessary to make future updates and adapt to changing demands, conditions and technology in a safe and reliable manner. The Dutch storm surge barriers protect the low-lying hinterlands from flooding during extreme weather events. Each of the six barriers managed by the Directorate General of Public Works (Rijkswaterstaat) was designed at a different time, to different requirements, and using different types of contracts. This has resulted in six unique structures, some of which use systems and components found nowhere else. In 1997, the Maeslant Storm Surge Barrier was completed, pioneering the use of Design and Construct contracts for major hydraulic structures. Experience with maintaining this hallmark structure through its first decades of operation provides a valuable opportunity to reflect on the effect of contracting- and design choices. Little work has been done to evaluate different contract types on the basis of delivering long-term maintainability and reducing the knowledge continuity challenge. This study views the Maeslant Barrier in the context of the earlier storm surge barriers with regard to facilitating knowledge continuity through design. It was found that the interdependent behaviour of subsystems in a high-reliability structure results in a notable increase in engineering complexity, especially in the control systems, increasing the challenge of achieving knowledge continuity. Examining the knowledge flows in a design-and-construct contract shows several advantages, but also that it does not naturally facilitate attention to important but less obvious aspects of maintainability, such as those related to knowledge continuity. ...

Knowledge continuity management in storm surge barrier engineering

Journal article (2024) - Merlijn Kamps, Martine van den Boomen, Johannes van den Bogaard, Marcel Hertogh
Purpose: Engineering knowledge continuity is crucial for the life cycle management of long-lived and complex assets, such as nuclear plants, locks and storm surge barriers. At the storm surge barriers in the Netherlands, engineering knowledge continuity is not yet fully assured, despite long-standing efforts. This study aims to explore the relationship between system characteristics, the organizational demarcation of maintenance and operation and the challenges in achieving engineering knowledge continuity and provides suggestions for improvement of theory and policy. Design/methodology/approach: Ten semi-structured interviews were conducted with professionals from various backgrounds in construction, engineering and asset management of the Dutch storm surge barriers, augmented with visits to barriers and barrier teams. A thematic analysis was used to identify and describe the challenges to engineering continuity, their origins and potential solutions. We reviewed knowledge management policy documents and asset management consultancy reports to validate the findings. Additionally, we engaged in frequent interactions with professionals at the barriers. We achieved saturation and validation once no new issues were raised during these discussions. Findings: The thematic analysis developed multiple themes describing the challenges to engineering continuity, their origins and potential solutions. The key findings are that expert engineers are critically important to deal with redesigns induced by obsolescence. Moreover, due to barrier uniqueness, long redesign cycles and reliability requirements, conventional knowledge continuity tools are insufficient to enable new engineers to reach expert level. Finally, the thematic analysis shows that, in some cases, outsourcing should be reduced to facilitate internal learning. Originality/value: The study introduces the application of the knowledge-based view of the firm and the concept of requisite knowledge redundancy to the long-term management of complex assets. It calls for more attention to long gaps in the use of unique knowledge and the effect on knowledge continuity. ...
Journal article (2023) - Hidde Vader, Alexander M.R. Bakker, Sebastiaan N. Jonkman, Martine van den Boomen, Esther van Baaren, Ferdinand L.M. Diermanse
Over the course of the last century, storm surge barriers have been built in several countries and proven to be successful in preventing flooding. However, the operation, reliability, and remaining life of these structures have come under increased pressure due to changing demands, intensified utilisation, and climate change. Yet, there is relatively little known about how these factors affect the remaining life of storm surge barriers. To address this issue, a framework is presented to assess the impacts of external drivers on the remaining life in a systematic manner. The framework considers both the technical state and functional performance and uses scenarios to evaluate the impact of external drivers. The application of the framework is demonstrated for the Hollandsche IJssel barrier (the Netherlands). The results indicate that sea level rise (SLR) is the dominant physical driver. Even in moderate SLR scenarios, the lifespan of the barrier may end in the 2040s if the functional performance with respect to flood protection and navigation cannot be improved. Ultimately, the study demonstrates how the remaining life of storm surge barriers could be assessed systematically and the impact of external drivers on the remaining life could be evaluated. ...
Conference paper (2023) - Y. Kharoubi, M. van den Boomen, M.J.C.M. Hertogh, J. van den Bogaard
Due to climate change, the risk of flooding is increasing with potentially severe consequences on highly populated and economically developed coastal zones. Storm surge barriers protect against such events with the critical task of closing during extreme weather conditions to prohibit the propagation of water. This highlights the importance of maintaining the high reliability of these structures and the challenge to reach this goal for rarely operated and unique infrastructures. To deal with this challenge, the study creates a foundation to set an asset management approach for storm surge barriers or assets with similar characteristics. This is done by studying the case of The Netherlands with the aim to [1] describe the asset management approach, [2] identify key features of the approach, [3] investigate the connection between these features and the characteristics of the barriers, and [4] conclude the influence of the characteristics on the establishment of an asset management approach. ...
Journal article (2021) - M. van den Boomen, H.L.M. Bakker, M.J.C.M. Hertogh, R. Treiture
Veel publieke organisaties in Nederland rekenen bij contante waarde berekeningen met een maatschappelijke discontovoet. Door de lage discontovoet ontstaat een methodisch probleem bij contante waarde berekening over de gebruikelijke periode van 100 jaar. In dit artikel stellen we drie rekenmethoden voor om tot een evenredige vergelijking te komen bij lage discontovoeten. De aanpak is ook geldig voor het vergelijken van alternatieven met een verschillende levensduur. ...
Journal article (2021) - Martine van den Boomen, Sjoerd Van der Meulen, Jonathan Van Ekris, Roel Spanjers, Olle Ten Voorde, Janwin Mulder, Peter Blommaart

The port of Rotterdam is the largest seaport in Europe. To maintain its position, the harbor will have to anticipate global transitions such as transferring to sustainable energy. Hydrogen is seen as a promising energy carrier; however, future demand is uncertain. The current research investigates decision making under uncertainty and values flexibility. Compound real options analysis is applied to optimize the time-variant expansion strategies for a hydrogen pipe network. The trade-off between early investments and missed revenues when not investing in time determines the optimized expansion strategy. Moreover, the real options approach also provides the levelized unit price for hydrogen distribution, to cover the life cycle costs of the optimal expansion strategy. Finally, this real options approach offers flexibility to a decision maker as it allows for enhancing future decisions. The academic contribution of this research is a distinct perspective on a compound real options approach where the optimal strategic path is the key result of interest. This in contrast to other real options applications in the literature which focus on option value, exchange with limiting the options or do not visualize a strategic path. Moreover, this research demonstrates how stepwise expansion and decision making under uncertainty facilitate transitions such as the transition toward clean energy. ...
Probabilistisch ramen van investeringsprojecten neemt onzekerheden over volumes van materialen en prijzen mee in de berekening. Dit geeft besluitvormers inzicht in de spreiding rond verwachte projectkosten en -baten. In dit artikel bespreken we de ontwikkelingen van probabilistisch ramen en de opschaling van projectkosten naar levensduurkosten. Dit opschalen houdt geen rekening met prijs(de)escalatie. Een andere kansverdeling voor prijsontwikkelingen, afgeleid van prijsindices, past beter bij hoe we omgaan met prijsfluctuaties en leidt tot andere uitkomsten. ...

Quantitative optimisation modelling taking typical public infrastructure related features into account

Ageing infrastructures and shortage of financing induce the need for optimising public infrastructure replacements. From an economic perspective, classical net present value comparison is traditionally the method of choice to decide on investments and replacements. The current research observes that typical infrastructure related features make the classical net present value comparison less suitable in its application for optimising infrastructure replacements. Especially the low discount rate of public sector organisations, price increases and price uncertainty contribute to this phenomenon in which the application of classical net present value comparison leads to suboptimal timing and costs. This observation led to the development of six dedicated replacement optimisation models for common types of infrastructure replacement challenges. A decision support guideline is provided to assist in selecting an appropriate model based on the sequence of intervention strategies, the development of forecasted cash flows and whether uncertainty is involved. The quantitative replacement optimisation models function as blueprints for similar challenges and support a wider decision-making context. ...
Infrastructure maintenance and replacement decisions are subject to uncertainties such as regular asset degradation, structural failure, and price uncertainty. In the engineering domain, Markov Decision Processes (MDPs) typically focus on uncertainties regarding asset degradation and structural failure. While the literature in the engineering domain stresses the importance of addressing price uncertainties, it does not substantiate the observations of such uncertainties through optimization modeling. By contrast, real option analyses (ROAs) that originate from the financial domain address price uncertainties but generally disregard asset degradation and structural failure. Accordingly, this piece of current research brings both domains closer together and proposes an optimization approach that incorporates the flexibility to choose between multiple successive intervention strategies, regular asset degradation, structural failure and multiple price uncertainties. A practical result of the current research is a realistic approach to optimization modeling in which state space reduction is achieved by combining prices into portfolios. The current research obtains transition probabilities from existing price data. This approach is demonstrated using a case study of a water authority in the Netherlands and confirms the premise that price fluctuations may influence short-term maintenance and replacement decisions. ...
In the Netherlands, probabilistic life cycle cash flow forecasting for infrastructures has gained attention in the past decennium. Frequencies, volume and unit prices of life cycle activities are treated as uncertainty variables for which an expert-based triangular distribution is assumed. The current research observes the absence of time-variant variables typical for infrastructure life cycles among which price (de-)escalation. Moreover, previous research has shown that price (de-)escalation and its uncertainty should not be ignored as it may lead to over or underestimation of costs, especially for public sector organisations which use low discount rates. For that reason, the current research has searched for a more data-driven approach to include price (de-)escalation and its uncertainty by adopting a price forecasting method from the financial domain, a Geometric Brownian Motion. The uncertainty variables drift and volatility are obtained from publicly available price indices. This approach is easily included in the current practice for probabilistic cost forecasting which is demonstrated on a case study. The case study shows that ignoring price increases may lead to an underestimation of total discounted costs of 13%. From an academic perspective, the current research advocates inclusion of price uncertainty in multi-objective optimisation modelling of infrastructure life cycle activities. ...
Conference paper (2019) - Rob Treiture, Leonore van der Meer, Jaap Bakker, Martine van den Boomen, Rob Schoenmaker, Rogier Wolfert
Life cycle costing analysis for public infrastructure assets is not a straight forward exercise and may be sensitive to input data and calculation approaches. In general alternatives are compared on net present value (NPV) of life cycle costs (LCC) over a bounded calculation horizon. However, alternatives may differ in life cycle characteristics. Issues to address include the chosen calculation horizons, the truncation method for the end of horizon cash flows, the discount rates and inflation rates. This study investigates the deviations of NPV calculations with horizons of 100, 200 and 300 years with an NPV calculation over an infinite time hori-zon. Three public infrastructure asset case studies with their specific LCC characteristics are considered: a bridge, a high way and a dike revetment. A sensitivity analysis for the discount rate and differential inflation is performed. This study develops generic guidelines for approximation errors as a consequence of a premature truncation of cash flows in public infrastructure LCC calculations. ...

A public infrastructure case study dealing with political decisions, structural integrity and price uncertainty

Managerial flexibility in infrastructure investment and replacement decisions adds value. Real options analysis (ROA) captures this value under uncertain market prices. The concept of ROA is that future unfavourable payoffs can be deferred as soon as more information about market prices becomes available. The popularity of ROA is seen in a growing number of case studies on real assets. Despite its increasing popularity, ROA has not gained a foothold in public infrastructure decision making. One of the difficulties in the application of ROA is the required estimation of market variables. To avoid this, a simplified but not correct version of ROA is easily applied, referred to as a Decision Tree Approach (DTA) to ROA. Another difficulty is that infrastructure assets are subject to other types of uncertainties, defined here as asset uncertainties. This study investigates the value of managerial flexibility in a public infrastructure replacement decision. The uncertainty drivers are the strength of a bridge, political decisions regarding traffic flow and the price development of construction costs. Three valuation approaches are compared: DTA, ROA and the DT approach to ROA. Although it is complex, ROA certainly adds value in public infrastructure decision making when market price uncertainty is prevalent. However, in the absence of reasonable estimates of market variables, the DT approach to ROA is the best alternative. In the absence of market price uncertainties, ROA should be avoided DTA is to be preferred. ...
Journal article (2019) - Yue Shang, Martine van den Boomen, Amy de Man, Rogier Wolfert
Reliability-based life cycle costing analysis (LCCA) supports optimized decisions on capital and operational expenditures for engineering asset management. In addition, it allows investigation of the impact of maintenance decisions on designing the service life of assets. The application of reliability-based LCCA in railway practice is challenging, as there is limited research with regard to integrating maintenance strategies, reliability and costs especially for embedded rail systems. Therefore, in this research, an LCCA model for these embedded rail system assets has been developed, which shows the optimum between the actual reliability profile, financial parameters and maintenance policies for specific variable conditions. This model incorporates both the uncertainties associated with degradation and maintenance strategies which have been integrated into a discounted age replacement model. This model facilitates a better understanding about the interaction among life cycle cost, rail degradation and maintenance strategies for a set of variable conditions. The output supports decision making on rail replacement and/or maintenance engineering. The model is demonstrated in a case study and validated with available (real) failure data from Dutch railroad service contractors. The potential of the applicability to ballasted tracks is also demonstrated. ...
Water treatment plants (WTPs) are characterised as complex configurations of repairable and deteriorating components. Previous studies have mainly focused on the average or steady-state availability of such systems while ignoring inherent characteristics like degradation. The current research proposes a two-level hierarchical model for long-term availability analysis of WTPs. To do so, at the component level, a condition-based technique (semi-Markov) or a failure-based technique (non-homogeneous Poisson process) is proposed based on the type and amount of available data while at the system level a reliability block diagram can be used to combine the component-level availabilities. The application of the methodology has been demonstrated on a real case study in the Netherlands. ...
Ageing public infrastructure assets necessitate economic replacement analysis. A common replacement problem concerns an existing asset challenged by a replacement option. Classic techniques obtained from the domain of engineering economics are the mainstream approach to replacement optimization in practice. However, the validity of these classic techniques is built on the assumption that life cycle cash flows of a replacement option are repetitive. Differential inflation undermines this assumption and therefore more advanced replacement optimization techniques are required under these circumstances. These techniques are found in the domain of operations research and require linear or dynamic programming (LP/DP). Since LP/DP techniques are complex and time-consuming, the current study develops an alternative model for replacement optimizations under differential inflation. This approach builds on the classic capitalized equivalent replacement technique. The alternative model is validated by comparison with a DP model showing to be equally accurate for a case with characteristics that apply to many infrastructure assets. ...