Publication_Pitz

Fenneman, A., Sickmann, J., Füllbrunn, S., Goldbach, C., & Pitz, T. (2022). Psychological price perception may exert a weaker effect on purchasing decisions than previously suggested: Results from a large online experiment fail to reproduce either a left-digit or perceptual-fluency effect. PloS one, 17(8), e0270850.

September 24, 2022 (Last Modified: September 24, 2022)

Publication, Publication_Pitz, Publication_Sickmann

https://doi.org/10.1371/journal.pone.0270850

Abstract This study aimed to investigate the role of information and individual determinants on speed choice in a controlled laboratory setting in order to improve the general understanding of individual speeding behavior. A novel and interactive speed choice experiment was designed where participants repeatedly had to choose between fast or slow driving. Results showed that additional information had an effect on speeding choice if it contains quantitative instead of qualitative information.

Software Publication: Ferraz, V. & Pitz, T. (2022). Simulating Economic Learning in Dynamic Strategic Scenarios with a Genetic Algorithm (Version 1.0.0). CoMSES Computational Model Library

Bartsch, K., Kayar, D., Pitz, T., Schreckenberg, M., & Sickmann, J. (2022). Autonom fahrende Elektrokleinbusse in Fußgängerzonen. In Transforming Mobility–What Next? Technische und betriebswirtschaftliche Aspekte (pp. 289-301). Wiesbaden: Springer Fachmedien Wiesbaden.

Goldbach, C., Sickmann, J., Pitz, T., & Zimasa, T. (2022). Towards autonomous public transportation: Attitudes and intentions of the local population. Transportation Research Interdisciplinary Perspectives, 13, 100504. https://doi.org/10.1016/j.trip.2021.100504

Goldbach, C., Kayar, D., Pitz, T., & Sickmann, J. (2022). Driving, Fast and Slow: An Experimental Investigation of Speed Choice and Information. SAGE Open, 12(2), 21582440221091708.

Ferraz, V., & Pitz, T. (2022). Analyzing the Impact of Strategic Behavior in an Evolutionary Learning Model Using a Genetic Algorithm. Computational Economics, 1-39.

DOI: https://doi.org/10.1016/j.trip.2020.100190.

Goldbach, C., Kayar, D., Pitz, T., & Sickmann, J. (2022). Driving, Fast and Slow: An Experimental Investigation of Speed Choice and Information. SAGE Open, 12(2).

Ferraz, V. & Pitz, T. (2022). Simulating Economic Learning in Dynamic Strategic Scenarios with a Genetic Algorithm (Version 1.0.0). CoMSES Computational Model Library

Bartsch, K., Kayar, D., Pitz, T., Schreckenberg, M., & Sickmann, J. (2022). Autonom fahrende Elektrokleinbusse in Fußgängerzonen. In Transforming Mobility–What Next? Technische und betriebswirtschaftliche Aspekte (pp. 289-301). Wiesbaden: Springer Fachmedien Wiesbaden.

Goldbach, C., Sickmann, J., Pitz, T., & Zimasa, T. (2022). Towards autonomous public transportation: Attitudes and intentions of the local population. Transportation Research Interdisciplinary Perspectives, 13, 100504. https://doi.org/10.1016/j.trip.2021.100504

Goldbach, C., Kayar, D., Pitz, T., & Sickmann, J. (2022). Driving, Fast and Slow: An Experimental Investigation of Speed Choice and Information. SAGE Open, 12(2), 21582440221091708.

Ferraz, V., & Pitz, T. (2022). Analyzing the Impact of Strategic Behavior in an Evolutionary Learning Model Using a Genetic Algorithm. Computational Economics, 1-39.

Fenneman, A., Sickmann, J., Pitz, T. & Stanfey, A. (2020). Two distinct and separable processes underlie individual differences in algorithm adherence: differences in predictions and differences in trust thresholds, Journal of Behavioral Decision making.

Pitz, T., Kayar, D., Gardian, W., Sickmann, J. and Alkaş, H. (2020). “Comparison of competing market mechanisms with reinforcement learning in a carpooling scenario.” Transportation Research Interdisciplinary Perspectives, 7, 2020: 100190.