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The role of analytical models and their circulation in urban studies and policy
No full textCities are so complex that we constantly build models to represent them, understand them and attempt to plan them. Models represent a middle ground between the singular configurations of cities and universal theories. This is what makes them valuable and prone to circulate (between places, institutions and languages) and evolve to adapt to new ideas, local conditions and/or other models. When it comes to analytical urban models (i.e. analytical representations of cities developed to study or simulate part of their structure or dynamics), there is a lack of academic understanding regarding how context and circulation affect their content, use and interpretation. What happens to analytical urban models and their reception during their circulation across geographical and disciplinary boundaries? How have different academic disciplines interacted with, contributed to and been influenced by analytical urban models? What are the consequences of urban models’ mobility for our understanding of cities? In this article, we employ the policy mobilities framework to analyse the circulation of analytical urban models. We use six canonical models as case studies to determine how their assumptions came about and how these models have circulated across different domains of policy and application by using biographical information and model analysis. The first contribution of the article is to demonstrate by example that our hypothesis regarding the influence of context is consistent. We also show that highly transferable/mobile models share common characteristics relating to contingent factors such as their creators’ biographies, institutional context and the traditional markers of power relations.Online First.Urban Studie
Landscapes of Trade: towards sustainable spatial planning for the logistics complex in the Netherlands
No full textBy combining different perspectives and methods of empirical research, this PhD thesisgenerates multi-disciplinary insights into the rise of the logistics complex and its planningdiscourse whilst focusing specifically on XXL distribution centres (DCs) in the Netherlands.Since the 1980s, the building footprint of this complex has increased fourfold, to approximately 80 million square metres, generating a new large-scale landscape type: Landscapes of Trade.The research addresses urgent issues regarding the seemingly ubiquitous growth pattern of DCs in the Netherlands, the dominant and increasingly challenged policy narrative of the Netherlands as a ‘gateway to Europe’, and the public-private actor network that appears to fall short of adequate DC planning and development. Other issues are the claimed employment benefits of DCs, the balance of the benefits and burdens of logistics, and the provision of useful spatial planning information for logistics clusters in the emerging circular economy. This thesis shows how historical, economic and institutional dynamics have shaped the rampant expansion of the logistics complex in the Netherlands. The thesis argues that a new logistics policy narrative is necessarily grounded in the contemporary dynamics and policy goals that are quite different from the conditions in the 1980s. Further research and planning practice along these lines would include open information provision in the logistics spatial planning discourse with an international scope, intensive and multifunctional land use, reverse logistics enabling circularity in DCs, as well as added value of DCs for local communities and businesses.A+BE | Architecture and the Built Environment No 10 (2024)Spatial Planning and Strateg
Using Leading-Edge Protuberances for Dynamic Stall Control of an Airborne Wind Energy Wing
No full textDeriving Manageable Transdisciplinary Research Models for Complicated Problematics Associated with Next-Generation Cyber-Physical Systems: Part 1 - Theoretical and Methodological Foundation
No full textThere are many large-scale, transdisciplinary research problematics associated with next-generation cyber-physical systems, which are difficult to capture, analyze, and transfer into sharable research models. This two-part paper is intended to contribute to a better understanding and to provide a systematic approach to describing, scoping, and specifying manageable contents for transdisciplinary research models. Part 1 of the paper analyzes the essence and the interplays of the most important current trends, and creates a robust theoretical and methodological foundation for capturing and scoping research problematics associated with the evolving paradigm of cyber-physical systems. The elaboration and deployment of the proposed approach are discussed in detail in Part 2. Besides the overall procedural framework of the proposed holistic systematic combinational breakdown, all steps are explained and exemplified in an illustrative real-life example. The discussion in both Parts concludes with a number of propositions and further research opportunities concerning the theoretical and methodological foundations.System EngineeringCyber-Physical System
In-Situ early anomaly detection and remaining useful lifetime prediction for high-power white LEDs with distance and entropy-based long short-term memory recurrent neural networks
No full textHigh-power white light-emitting diodes (LEDs) have demonstrated superior efficiency and reliability compared to traditional white light sources. However, ensuring maximum performance for a prolonged lifetime use presents a significant challenge for manufacturers and end users, especially in safety–critical applications. Thus, identifying functional anomalies and predicting the remaining useful lifetime (RUL) is of enormous importance in the operational longevity of the device. To address such challenges, this study proposes a combination of distance-based Mahalanobis distance (MD), entropy generation rate (EGR), and deep learning models for improved anomaly detection and RUL prediction accuracy. Unlike conventional health indicators based on luminous flux data that are challenging to monitor relevant optical performance, the MD and EGR methods are employed to extract in-situ monitored thermal and electrical data as new health indicators. Long short-term memory recurrent neural networks (LSTM-RNN) and convolutional neural networks (CNN) are established to detect anomalies and predict the RUL. The accelerated degradation tests of 3 W high-power white LED have been conducted, and the online and offline collected experimental data are deployed for model development and performance evaluation. The performance of the proposed methods is compared against the Illuminating Engineering Society of North America (IESNA) TM-21 method. The results indicate that LSTM-RNN, when combined with either MD or EGR, can detect anomalies with significantly fewer data (70 %) than is typically required. Furthermore, a significant improvement in prediction accuracy in RUL prediction based on MD and EGR-constructed time series health indicators and employed with the LSTM-RNN model demonstrates the effectiveness of the proposed methods.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Electronic Components, Technology and Material
What’s up doc? Physicians’ reflections on their sustainable employability throughout careers: a narrative inquiry
No full textBackground: Physicians have complex and demanding jobs that may negatively affect their sustainable employability (SE) and quality of care. Despite its societal and occupational relevance, empirical research on physicians’ SE is scarce. To further advance our understanding of physicians’ SE, this study explores how physicians perceive their employment context to affect their SE, how physicians self-regulate with the intent to sustain their employability, and how self-regulations affect physicians’ SE and their employment context. Methods: Twenty Dutch physicians from different specialisms were narratively interviewed between March and September 2021 by a researcher with a similar background (surgeon) to allow participants to speak in their own jargon. The interviews were analyzed collaboratively by the research team in accordance with theory-led thematic analysis. Results: According to the interviewees, group dynamics, whether positive or negative, and (mis)matches between personal professional standards and group norms on professionalism, affect their SE in the long run. Interviewees self-regulate with the intent to sustain their employability by (I) influencing work; (II) influencing themselves; and (III) influencing others. Interviewees also reflect on long-term, unintended, and dysfunctional consequences of their self-regulations. Conclusions: We conclude that physicians’ SE develops from the interplay between the employment context in which they function and their self-regulations intended to sustain employability. As self-regulations may unintentionally contribute to dysfunctional work practices in the employment context, there is a potential for a vicious cycle. Insights from this study can be used to understand and appraise how physicians self-regulate to face complex challenges at work and to prevent both dysfunctional work practices that incite self-regulation and dysfunctional consequences resulting from self-regulations.Safety and Security Scienc
Enhancing Lock Gate Design: Estimation of collision energy through data analysis and non-linear structural models
No full textIn the Netherlands, there are hundreds of operational locks for both recreational and inland shipping. Due to the growing economy, inland shipping is expected to increase in the future. The growing economy causes an increased likelihood of ship collisions with infrastructure, currently estimated at approximately 50 cases per year in the Netherlands. It is necessary to determine the collision energy of a vessel to account for collisions, because this clarifies the potential load. In the context of determining the collision energy for ship collision, the guidelines of the Eurocode, PIANC, and AASHTO involve uncertainties and exhibit variability among them. Therefore, the thesis was initiated to provide more accuracy in the estimation of collision energy in the event of ship-lock collisions. The main objective of this thesis was to enhance the structural design process of lock gates regarding ship-lock collisions. This was done by improving the understanding of the effect of potential loads occurring at a ship-lock collision, and using basic mechanics to estimate the energy absorption capacity of the lock gate.Civil Engineering | Hydraulic Structure
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