Recent Submissions 

  1. Fair money 

    Riehl, Kevin; Kouvelas, Anastasios; Makridis, Michail (2024)
    arXiv
    City road infrastructure is a public good, and over-consumption by self-interested, rational individuals leads to traffic jams. Congestion pricing is effective in reducing demand to sustainable levels, but also controversial, as it introduces equity issues and systematically discriminates lower-income groups. Karma is a non-monetary, fair, and efficient resource allocation mechanism, that employs an artificial currency different from ...
    Working Paper
  2. Going the extra mile 

    Gramsch-Calvo, Benjamin; Okamura, Koki; Takami, Kiyoshi; et al. (2024)
    Arbeitsberichte Verkehrs- und Raumplanung
    The purpose of this study is to develop a joint activity destination choice model to analyze the effect of clique-level characteristics on leisure behavior and evaluate the effect of incorporating clique-level attributes on the out-of-sample predictive ability of the model. To do so, we propose a discrete choice model that includes the preference for the ego and the cliques’ travel time; allowing us to estimate the willingness to travel ...
    Working Paper
  3. The Importance of the Social Environment on Leisure Destination Choice 

    Gramsch-Calvo, Benjamin; Axhausen, Kay W. (2024)
    Arbeitsberichte Verkehrs- und Raumplanung
    Individuals are fond of belonging to a social environment with a similar social background, which can impact the individual’s decision to visit specific venues for leisure activities. Using data from Zurich, we have measured the preference for a social environment in four categories of leisure venues: restaurants, cafes, bars, and nightclubs; the estimation was performed using a mixed multinomial logit model to see how homophily for ...
    Working Paper
  4. Daline: A Data-driven Power Flow Linearization Toolbox for Power Systems Research and Education 

    Jia, Mengshuo; Chan, Wen Yi; Hug, Gabriela (2024)
    Power flow linearization has long been a fundamental tool in both academia and industry. While physics-driven power flow linearization (P-PFL) methods are relatively accessible, data-driven power flow linearization (D-PFL) approaches are significantly less so. As a promising field, D-PFL has demonstrated its potential to enhance linearization accuracy and address scenarios where traditional P-PFL methods are limited, particularly when ...
    Working Paper
  5. Beyond FITT - How Density Can Improve the Understanding of the Dose-Response Relationship Between Physical Activity and Brain Health 

    Herold, Fabian; Zou, Liye; Theobald, Paula; et al. (2024)
    SportRxiv
    Research on physical activity and health, including planned and structured forms such as acute and chronic physical exercise, has focused on understanding potential dose-response relationships. Traditionally, the variables of (i) Frequency, (ii) Intensity, (iii) Time, (iv) and Type (known as the FITT principle) have been used to operationalize the dose of physical activity. In this article, we describe the limitations of FITT and propose ...
    Working Paper
  6. A High-Frequency GDP Indicator for Switzerland 

    Kronenberg, Philipp (2024)
    KOF Working Papers
    This paper presents a weekly GDP indicator for Switzerland, which addresses the limitations of existing economic activity indicators using alternative high-frequency data created in the wake of the COVID-19 pandemic. The indicator is obtained from a Bayesian mixed-frequency dynamic factor model that integrates conventional macroeconomic and alternative high-frequency data at weekly, monthly, and quarterly frequencies. By estimating ...
    Working Paper
  7. Mixed-Variable Graphical Modeling for Medical Record-Based Predictive Models: Learning Pressure Injury Onset in Spinal Cord Injury Individuals 

    Li, Yanke; Scheel-Sailer, Anke; Riener, Robert; et al. (2024)
    Research Square
    Developing machine learning (ML) methods for healthcare predictive modeling requires absolute explainability and transparency to build trust and accountability. Graphical models (GM) are key tools for this but face challenges like small sample sizes, mixed variables, and latent confounders. This paper presents a novel learning framework addressing these challenges by integrating latent variables using fast causal inference (FCI), accommodating ...
    Working Paper
  8. Designing an E-Bike City 

    Ballo, Lukas; Axhausen, Kay W.; Raubal, Martin (2024)
    Arbeitsberichte Verkehrs- und Raumplanung
    Effective and timely decarbonization of urban mobility requires systemic changes to transportation systems. High-quality cycling networks are seen as one of such measures and multiple scholars have developed automated approaches for a quick generation of such interventions. However, a common shortcoming is that they mostly ignore the tradeoffs in allocating scarce road space to different modes. In this paper, we introduce an automated ...
    Working Paper
  9. Success factors of growth-stage digital health companies: A systematic literature review 

    Pfitzer, Estelle; Bitomsky, Laura; Nissen, Marcia; et al. (2024)
    JMIR Preprints
    Background: Digital health technologies (DHTs) have received increasing attention over the last decade, showcasing novel opportunities for the healthcare industry. This period has attracted substantial investment and revealed the challenges companies face in maintaining growth. However, to our knowledge, a systematic overview of the factors that drive success in growth-stage digital health companies is lacking, which limits our understanding ...
    Working Paper
  10. Wearables and smartphones for modifiable risk factors in metabolic health: a scoping review protocol 

    Brügger, Victoria; Kowatsch, Tobias (2024)
    JMIR Preprints
    Background: Metabolic diseases, such as cardiovascular diseases and diabetes, contribute significantly to global mortality and disability. Wearable devices and smartphones increasingly track physiological and lifestyle risk factors and can improve the management of metabolic diseases. However, the absence of clear guidelines for deriving meaningful signals from these devices often hampers cross-study comparisons. Objective: Thus, ...
    Working Paper
  11. Data-driven Power Flow Linearization: Theory 

    Jia, Mengshuo; Hug-Glanzmann, Gabriela; Zhang, Ning; et al. (2024)
    This two-part tutorial dives into the field of data-driven power flow linearization (DPFL), a domain gaining increased attention with the rise of data-centric methodologies. DPFL stands out for its higher approximation accuracy, wide adaptability, and better ability to implicitly incorporate power losses and the latest system attributes. This renders DPFL a potentially superior option for managing the significant fluctuations from renewable ...
    Working Paper
  12. Conceptualizing Micromobility 

    Behrendt, Frauke; Heinen, Eva; Brand, Christian; et al. (2022)
    Preprints
    While micromobility has seen a significant rise of interest across policy, industry and academia, a detailed conceptualisation of it has so far been missing from the scientific literature. This paper develops a multi-dimensional conceptualisation of micromobility, in conjunction with a new socio-technical definition. To do so, it reviews related concepts; it analyses how the term micromobility has been used; and it critically engages with ...
    Working Paper
  13. Conceptualising Micromobility 

    Behrendt, Frauke; Heinen, Eva; Brand, Christian; et al. (2023)
    Preprints
    Micromobility has gained attention from policymakers, industry stakeholders, and academia; however, a comprehensive conceptualization of micromobility is still missing. Existing definitions are largely vehicle-centric: either listing modes or detailing vehicle characteristics. This paper addresses this gap by developing a ‘beyond vehicles’, multi-dimensional conceptualization of micromobility, accompanied by a novel socio-technical ...
    Working Paper
  14. Money Creation in a Neoclassical Economy: Equilibrium Multiplicity and the Liquidity Trap 

    Altermatt, Lukas; van Buggenum, Hugo; Voellmy, Lukas (2024)
    KOF Working Papers
    We introduce banks that issue liquid deposits backed by bonds and capital into an otherwise standard cash-in-advance economy. Liquidity transformation by banks increases aggregate consumption and investment relative to a cash-only economy but can also lead to inefficient overinvestment. Furthermore, liquidity transformation can lead to multiple steady-state equilibria with different interest rates and real outcomes. Whenever multiple ...
    Working Paper
  15. Targeted Transformations for Macroeconomic Forecasting 

    Daniele, Maurizio; Kronenberg, Philipp; Reinicke, Tim (2024)
    KOF Working Papers
    The crisis periods of the past decades have highlighted the difficulty of forecasting economic indicators due to increased non-linearity and rapidly changing dynamics. To address this challenge, we introduce the Transform-Sparsify-Forecast (TSF) framework. The TSF framework first applies multiple transformations to each predictor to account for non-linear effects. It then dynamically applies a dimension reduction (targeting) to select ...
    Working Paper
  16. The Labor Market Outcomes of Formal Vocational Education and Training: A Meta- Analysis 

    Bolli-Kemper, Johanna Mirka; Au Yong Lyn, Audrey; McDonald, Patrick; et al. (2024)
    CES Working Paper Series
    This meta-analysis empirically synthesizes the impact of formal Vocational Education and Training (VET) on labor market outcomes using studies published between 1990 and 2022, employing a causal counterfactual evaluation design. To summarize effect sizes across studies, we employ the standardized mean difference Hedges' g for all outcomes, and employment probability and earnings/wages for a subset of studies. We use Robust Variance ...
    Working Paper
  17. On the interpretation of quantum theory as games between physicists and nature played in Minkowski spacetime 

    Fourny, Ghislain (2024)
    arXiv
    In 2019, we introduced games in Minkowski spacetime as a generalization of game theory to special relativity that subsumes games in normal form (spacelike separation) and games in extensive form (timelike separation). Many concepts including Nash equilibria naturally extend to spacetime games. We also emphasized the importance of these games to model quantum experiments such as Bell experiments and more generally any adaptive measurements. ...
    Working Paper
  18. The Role of Vitamin D in Emiliania huxleyi: A Microalgal Perspective on UV-B Exposure 

    Eliason, Or; Malitsky, Sergey; Panizel, Irina; et al. (2023)
    bioRxiv
    An essential interaction between sunlight and eukaryotes involves the production of vitamin D through exposure to ultraviolet (UV) radiation. While extensively studied in vertebrates, the role of vitamin D in non-animal eukaryotes like microalgae remains unclear. To investigate the potential involvement of vitamin D in the response of microalgae to UV, we focus on Emiliania huxleyi, a microalga found in shallow ocean depths that are exposed ...
    Working Paper
  19. On the Kauffman bracket skein module of (S^1×S^2) # (S^1×S^2) 

    Bakshi, Rhea Palak; Kim, Seongjeong; Wang, Xiao (2024)
    arXiv
    Determining the structure of the Kauffman bracket skein module of all $3$-manifolds over the ring of Laurent polynomials $\mathbb Z[A^{\pm 1}]$ is a big open problem in skein theory. Very little is known about the skein module of non-prime manifolds over this ring. In this paper, we compute the Kauffman bracket skein module of the $3$-manifold $(S^1 \times S^2) \ \# \ (S^1 \times S^2)$ over the ring $\mathbb Z[A^{\pm 1}]$. We do this by ...
    Working Paper
  20. Capacitance Size of Active Power Filter: Buck-Type vs. Split DC Link 

    Biela, Jürgen; Krismer, Florian (2024)
    In this working paper the size of the required capacitance of an active power decoupling / active power filter for a single phase rectifier is evaluated based on power flow considerations.
    Working Paper

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