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Featured researches published by Katja Schleinitz.


Journal of Safety Research | 2018

Risk compensation? – The relationship between helmet use and cycling speed under naturalistic conditions

Katja Schleinitz; Tibor Petzoldt; Tina Gehlert

INTRODUCTION An argument against mandatory helmet use is based on the idea of risk compensation, which means that cyclists might ride faster when wearing a helmet (Lardelli-Claret et al., 2003). However, questionnaire and experimental studies were unable to find evidence for this assumption (Fyhri et al., 2012; Fyhri & Philipps, 2013). Simultaneously, other factors with a potential role in helmet use and cycling speed, such as trip length and rider characteristics have been neglected in such considerations. The goal of the analysis presented in this paper was therefore to investigate the relationship between helmet use and cycling speed under naturalistic conditions while taking characteristics of cyclists and bicycles into account. METHOD As part of a naturalistic cycling study, we equipped the bicycles of conventional and e-bike riders with data acquisition systems to record speed and trip distance. It included two cameras (one for the face of the participant, another one for the forward scenery). For the analysis presented in this paper, we used the data of 76 participants (28 conventional bicycles, 48 e-bikes). RESULTS In total, participants used their helmet for 56% of all trips. Helmets were used more frequently for longer trips. A linear mixed model, in which trip length, helmet use, bicycle type, age, and gender were used as predictors showed that helmet use did not play a significant role for cycling speed. Instead, all other factors that were analyzed, with the exception of gender, had a significant relationship to cycling speed. DISCUSSION The assumption of risk compensation as a result of the use of a helmet could not be confirmed. Instead, the findings seem to support the suggestion that cyclists who undertake trips at potentially higher speed levels are aware of their increased risk, and actively try to reduce it through the use of a helmet.


Safety Science | 2017

The German Naturalistic Cycling Study - comparing cycling speed of riders of different e-bikes and conventional bicycles

Katja Schleinitz; Tibor Petzoldt; Luise Franke-Bartholdt; Josef F. Krems; Tina Gehlert


Archive | 2012

The German Pedelec Naturalistic Cycling Study - Study Design and First Experiences

Tina Gehlert; M. Kühn; Katja Schleinitz; Tibor Petzoldt; S. Schwanitz; R. Gerike


Transportation Research Part F-traffic Psychology and Behaviour | 2015

Conflict partners and infrastructure use in safety critical events in cycling - results from a naturalistic cycling study

Katja Schleinitz; Tibor Petzoldt; Luise Franke-Bartholdt; Josef F. Krems; Tina Gehlert


7. Tagung Fahrerassistenzsysteme | 2015

What would drivers like to know during automated driving? Information needs at different levels of automation.

Matthias Beggiato; Franziska Hartwich; Katja Schleinitz; Josef F. Krems; Othersen, Ina, Petermann-Stock, Ina


Forschungsbericht / Unfallforschung der Versicherer (UDV) | 2014

Pedelec-Naturalistic Cycling Study

Katja Schleinitz; Luise Franke-Bartholdt; Tibor Petzoldt; S. Schwanitz


Safety Science | 2017

Drivers' gap acceptance in front of approaching bicycles - effects of bicycle speed and bicycle type

Tibor Petzoldt; Katja Schleinitz; Josef F. Krems; Tina Gehlert


Accident Analysis & Prevention | 2016

The influence of speed, cyclists’ age, pedaling frequency, and observer age on observers’ time to arrival judgments of approaching bicycles and e-bikes

Katja Schleinitz; Tibor Petzoldt; Josef F. Krems; Tina Gehlert


Transportation Research Part F-traffic Psychology and Behaviour | 2017

Traffic conflicts and their contextual factors when riding conventional vs. electric bicycles

Tibor Petzoldt; Katja Schleinitz; Sarah Heilmann; Tina Gehlert


Accident Analysis & Prevention | 2019

(E-)Cyclists running the red light – The influence of bicycle type and infrastructure characteristics on red light violations

Katja Schleinitz; Tibor Petzoldt; Sophie Kröling; Tina Gehlert; Sebastian Mach

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Tibor Petzoldt

Chemnitz University of Technology

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Josef F. Krems

Chemnitz University of Technology

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Luise Franke-Bartholdt

Chemnitz University of Technology

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Franziska Hartwich

Chemnitz University of Technology

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Matthias Beggiato

Chemnitz University of Technology

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Sarah Heilmann

Chemnitz University of Technology

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Sebastian Mach

Chemnitz University of Technology

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Sophie Kröling

Free University of Berlin

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