Deployment and management of environmental infrastructures, such as charging infrastructure for Electric Vehicles (EV), is a challenging task. For policy makers, it is particularly difficult to estimate the capacity of current deployed public charging infrastructure for a given EV user population. While data analysis of charging data has shown added value for monitoring EV systems, it is not valid to linearly extrapolate charging infrastructure performance when increasing population size.We developed a data-driven agent-based model that can explore future scenarios to identify non-trivial dynamics that may be caused by EV user interaction, such as competition or collaboration, and that may affect performance metrics. We validated the model by comparing EV user activity patterns in time and space.We performed stress tests on the 4 largest cities the Netherlands to explore the capacity of the existing charging network. Our results demonstrate that (i) a non-linear relation exists between system utilization and inconvenience even at the base case; (ii) from 2.5x current population, the occupancy of non-habitual charging increases at the expense of habitual users, leading to an expected decline of occupancy for habitual users; and (iii) from a ratio of 0.6 non-habitual users to habitual users competition effects intensify. For the infrastructure to which the stress test is applied, a ratio of approximately 0.6 may indicate a maximum allowed ratio that balances performance with inconvenience. For policy makers, this implies that when they see diminishing marginal performance of KPIs in their monitoring reports, they should be aware of potential exponential increase of inconvenience for EV users.
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The main question in this PhD thesis is: How can Business Rules Management be configured and valued in organizations? A BRM problem space framework is proposed, existing of service systems, as a solution to the BRM problems. In total 94 vendor documents and approximately 32 hours of semi-structured interviews were analyzed. This analysis revealed nine individual service systems, in casu elicitation, design, verification, validation, deployment, execution, monitor, audit, and version. In the second part of this dissertation, BRM is positioned in relation to BPM (Business Process Management) by means of a literature study. An extension study was conducted: a qualitative study on a list of business rules formulated by a consulting organization based on the Committee of Sponsoring Organizations of the Treadway Commission risk framework. (from the summary of the Thesis p. 165)
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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.
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The focus of this project is on improving the resilience of hospitality Small and Medium Enterprises (SMEs) by enabling them to take advantage of digitalization tools and data analytics in particular. Hospitality SMEs play an important role in their local community but are vulnerable to shifts in demand. Due to a lack of resources (time, finance, and sometimes knowledge), they do not have sufficient access to data analytics tools that are typically available to larger organizations. The purpose of this project is therefore to develop a prototype infrastructure or ecosystem showcasing how Dutch hospitality SMEs can develop their data analytic capability in such a way that they increase their resilience to shifts in demand. The one year exploration period will be used to assess the feasibility of such an infrastructure and will address technological aspects (e.g. kind of technological platform), process aspects (e.g. prerequisites for collaboration such as confidentiality and safety of data), knowledge aspects (e.g. what knowledge of data analytics do SMEs need and through what medium), and organizational aspects (what kind of cooperation form is necessary and how should it be financed).Societal issueIn the Netherlands, hospitality SMEs such as hotels play an important role in local communities, providing employment opportunities, supporting financially or otherwise local social activities and sports teams (Panteia, 2023). Nevertheless, due to their high fixed cost / low variable business model, hospitality SMEs are vulnerable to shifts in consumer demand (Kokkinou, Mitas, et al., 2023; Koninklijke Horeca Nederland, 2023). This risk could be partially mitigated by using data analytics, to gain visibility over demand, and make data-driven decisions regarding allocation of marketing resources, pricing, procurement, etc…. However, this requires investments in technology, processes, and training that are oftentimes (financially) inaccessible to these small SMEs.Benefit for societyThe proposed study touches upon several key enabling technologies First, key enabling technology participation and co-creation lies at the center of this proposal. The premise is that regional hospitality SMEs can achieve more by combining their knowledge and resources. The proposed project therefore aims to give diverse stakeholders the means and opportunity to collaborate, learn from each other, and work together on a prototype collaboration. The proposed study thereby also contributes to developing knowledge with and for entrepreneurs and to digitalization of the tourism and hospitality sector.Collaborative partnersHZ University of Applied Sciences, Hotel Hulst, Hotel/Restaurant de Belgische Loodsensociëteit, Hotel Zilt, DM Hotels, Hotel Charley's, Juyo Analytics, Impuls Zeeland.
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.
Het kabinet heeft 25 missies geformuleerd om maatschappelijke uitdagingen aan te pakken. Deze missies richten zich op gezondere levensjaren, voldoende schoon water en veilig voedsel, minder uitstoot van broeikasgassen, betaalbare duurzame energie en een veilig Nederland om in te wonen en te werken. Ambitieuze doelen moeten ondernemers en onderzoekers uitdagen tot baanbrekende oplossingen en bijdragen aan de concurrentiekracht van Nederland. Voor een klimaatbestendig, waterrobuust, duurzaam, gezond en veilig Nederland zijn zowel grote als kleine oplossingen nodig. De missies openen deuren voor nieuwe startups, mkb’ers, consortia van maatschappelijke organisaties en samenwerkingsverbanden met burgers. Het realiseren van deze missies vraagt ook om samenwerking over grenzen van topsectoren en landen heen. De Hogescholen voor Groen Onderwijs: Aeres, HAS, Inholland en Hogeschool Van Hall Larenstein werken samen in het Center of Expertise Groen om met voldoende focus en massa bijdragen te leveren aan maatschappelijke opgaven waarvoor de groene sectoren staan. Deze opgaven zijn vertaald naar meerjarige missies in de Kennis en Innovatie Agenda (KIA) voor het groene domein. Binnen de Missie Landbouw, Water en Voedsel wordt gewerkt aan noodzakelijke transities, die tevens een grote verwevenheid kennen met andere maatschappelijke sectoren. Samen met partners uit het groene domein alsook uit de publieke- en private sectoren, realiseert het CoE Groen een krachtige onderzoeksgroep die op maatschappelijk relevante thema’s nieuwe kennis ontwikkelt die daadwerkelijk van betekenis is. De onderzoeksgroep richt zich de eerstkomende jaren op 7 thema’s: (1) Veerkracht (resilience) van natuurlijke bronnen (2) Herontwerp (redesign) agrifood productiesystemen (3) Vitaliteit in stad en leefomgeving (4) Gezond voedsel met meerwaarde (5) Digitalisering en High tech (6) Nieuwe businessmodellen (7) Governance. Voor de SPRONG naar een krachtige onderzoeksgroep wordt ingezet op het vergroten van zichtbaarheid, het opleiden en verbinden van onderzoekslijnen, (regionale) netwerkontwikkeling, het verbeteren van kwaliteit van onderzoek en het realiseren van maatschappelijke impact.
