The authors discuss and analyze the complex interplay between rail infrastructure development and land use development of railway station areas in the Netherlands. They argue that although this interrelation has been theorized and studied in the academic literature, the underlying complex and dynamic mechanisms, and the appropriate planning and management responses, are still insufficiently understood. This is particularly relevant for local, regional and national policymakers in the various subsystems, because a lack of network understanding and interconnectedness may produce suboptimal, unsustainable spatial and rail infrastructure planning. In order to better understand and manage the dynamic interrelations between rail infrastructure and urban development in the Delta Metropolis, the serious game SprintCity was developed. The game is played with the real stakeholders (administrators, planners, politicians, interest groups, experts and consultants, etc.). In this paper, the authors describe and analyze why and how the complexity of the real world system was modeled into a serious game.
The purpose of this study was to analyse knowledge management research trends to understand the development of the field using a combination of scientometric, bibliometric, and visualisation techniques, subsequently developing a normative framework of knowledge management from the results.282 articles between the years 2010–2015 were retrieved, analysed, and visualised to produce the state of knowledge management during the selected timeframe. The results of this study provide a visualisation of the current research trends to understand the development of the knowledge management discipline. There are signals that the literature about knowledge management is progressing towards academic maturity. This study is one of the first studies to combine bibliometric and scientometric methods to assess productivity along with visualisation, and subsequently provide a knowledge management framework drawing from the results of these methods.
MULTIFILE
Currently EVs constitute only 1% of all vehicles on the road. We are at the eve of the large scale introduction of EVs. Large scale introduction requires a significant growth in charging infrastructure. In an urban context, in which many rely on on-street charging facilities, policy makers deal with a large number of concerns. Policy makers are uncertain about which charging deployment strategy to follow. This paper presents results from simulating different strategies for charging infrastructure roll to facilitate a large scale introduction of EVs using agent based simulation. In contrast to other models, the model uses observed charging patterns from EVs instead of travel patterns of fossil fuelled cars. The simulation incorporates different user types (Inhabitants, visitors, taxis and sharing) to model the complexity of charging in an urban environment. Different scenarios are explored along the lines of the type of charging infrastructure (level 2, clustered level 2, fast charging), the intensity of rollout (EV to Charging point ratio) and adoption rates. The simulation measures both the success rate and the additional miles cruising for a charging station. Results shows that scaling effects in charging infrastructure exist allowing for more efficient use of the infrastructure at a larger size.
Digital transformation has been recognized for its potential to contribute to sustainability goals. It requires companies to develop their Data Analytic Capability (DAC), defined as their ability to collect, manage and analyze data effectively. Despite the governmental efforts to promote digitalization, there seems to be a knowledge gap on how to proceed, with 37% of Dutch SMEs reporting a lack of knowledge, and 33% reporting a lack of support in developing DAC. Participants in the interviews that we organized preparing this proposal indicated a need for guidance on how to develop DAC within their organization given their unique context (e.g. age and experience of the workforce, presence of legacy systems, high daily workload, lack of knowledge of digitalization). While a lot of attention has been given to the technological aspects of DAC, the people, process, and organizational culture aspects are as important, requiring a comprehensive approach and thus a bundling of knowledge from different expertise. Therefore, the objective of this KIEM proposal is to identify organizational enablers and inhibitors of DAC through a series of interviews and case studies, and use these to formulate a preliminary roadmap to DAC. From a structure perspective, the objective of the KIEM proposal will be to explore and solidify the partnership between Breda University of Applied Sciences (BUas), Avans University of Applied Sciences (Avans), Logistics Community Brabant (LCB), van Berkel Logistics BV, Smink Group BV, and iValueImprovement BV. This partnership will be used to develop the preliminary roadmap and pre-test it using action methodology. The action research protocol and preliminary roadmap thereby developed in this KIEM project will form the basis for a subsequent RAAK proposal.
Climate change adaptation has influenced river management through an anticipatory governance paradigm. As such, futures and the power of knowing the future has become increasingly influential in water management. Yet, multiple future imaginaries co-exist, where some are more dominant that others. In this PhD research, I focus on deconstructing the future making process in climate change adaptation by asking ‘What river imaginaries exist and what future imaginaries dominate climate change adaptation in riverine infrastructure projects of the Meuse and Magdalena river?’. I firstly explore existing river imaginaries in a case study of the river Meuse. Secondly, I explore imaginaries as materialised in numerical models for the Meuse and Magdalena river. Thirdly, I explore the integration and negotiation of imaginaries in participatory modelling practices in the Magdalena river. Fourthly, I explore contesting and alternative imaginaries and look at how these are mobilised in climate change adaptation for the Magdalena and Meuse river. Multiple concepts stemming from Science and Technology Studies and Political Ecology will guide me to theorise the case study findings. Finally, I reflect on my own positionality in action-research which will be an iterative process of learning and unlearning while navigating between the natural and social sciences.
The SPRONG-collaboration “Collective process development for an innovative chemical industry” (CONNECT) aims to accelerate the chemical industry’s climate/sustainability transition by process development of innovative chemical processes. The CONNECT SPRONG-group integrates the expertise of the research groups “Material Sciences” (Zuyd Hogeschool), “Making Industry Sustainable” (Hogeschool Rotterdam), “Innovative Testing in Life Sciences & Chemistry” and “Circular Water” (both Hogeschool Utrecht) and affiliated knowledge centres (Centres of Expertise CHILL [affiliated to Zuyd] and HRTech, and Utrecht Science Park InnovationLab). The combined CONNECT-expertise generates critical mass to facilitate process development of necessary energy-/material-efficient processes for the 2050 goals of the Knowledge and Innovation Agenda (KIA) Climate and Energy (mission C) using Chemical Key Technologies. CONNECT focuses on process development/chemical engineering. We will collaborate with SPRONG-groups centred on chemistry and other non-SPRONG initiatives. The CONNECT-consortium will generate a Learning Community of the core group (universities of applied science and knowledge centres), companies (high-tech equipment, engineering and chemical end-users), secondary vocational training, universities, sustainability institutes and regional network organizations that will facilitate research, demand articulation and professionalization of students and professionals. In the CONNECT-trajectory, four field labs will be integrated and strengthened with necessary coordination, organisation, expertise and equipment to facilitate chemical innovations to bridge the innovation valley-of-death between feasibility studies and high technology-readiness-level pilot plant infrastructure. The CONNECT-field labs will combine experimental and theoretical approaches to generate high-quality data that can be used for modelling and predict the impact of flow chemical technologies. The CONNECT-trajectory will optimize research quality systems (e.g. PDCA, data management, impact). At the end of the CONNECT-trajectory, the SPRONG-group will have become the process development/chemical engineering SPRONG-group in the Netherlands. We can then meaningfully contribute to further integrate the (inter)national research ecosystem to valorise innovative chemical processes for the KIA Climate and Energy.
