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Publikation Accounting for uncertainty and variation in accessibility metrics for public transport sketch planning(University of Minnesota, 2018) Conway, Matthew Wigginton; Byrd, Andrew; van Eggermond, MichaelAccessibility is increasingly used as a metric when evaluating changes to public transport systems. Transit travel times contain variation depending on when one departs relative to when a transit vehicle arrives, and how well transfers are coordinated given a particular timetable. In addition, there is necessarily uncertainty in the value of the accessibility metric during sketch planning processes, due to scenarios which are underspecified because detailed schedule information is not yet available. This article presents a method to extend the concept of "reliable" accessibility to transit to address the first issue, and create confidence intervals and hypothesis tests to address the second.01A - Beitrag in wissenschaftlicher ZeitschriftPublikation Comparison of cycling behavior between keyboard-controlled and instrumented bicycle experiments in virtual reality(SAGE, 12.06.2020) Bogacz, Martyna; Hess, Stephane; Calastri, Chiara; Choudhury, Charisma F.; Erath, Alexander; van Eggermond, Michael; Mushtaq, Faisal; Nazemi, Mohsen; Awais, MuhammadThe use of virtual reality (VR) in transport research offers the opportunity to collect behavioral data in a controlled dynamic setting. VR settings are useful in the context of hypothetical situations in which real-world data does not exist or in situations which involve risk and safety issues making real-world data collection infeasible. Nevertheless, VR studies can contribute to transport-related research only if the behavior elicited in a virtual environment closely resembles real-world behavior. Importantly, as VR is a relatively new research tool, the best-practice with regards to the experimental design is still to be established. In this paper, we contribute to a better understanding of the implications of the choice of the experimental setup by comparing cycling behavior in VR between two groups of participants in similar immersive scenarios, the first group controlling the maneuvers using a keyboard and the other group riding an instrumented bicycle. We critically compare the speed, acceleration, br01A - Beitrag in wissenschaftlicher ZeitschriftPublikation Cycling in virtual reality: modelling behaviour in an immersive environment(Taylor & Francis, 29.04.2020) Bogacz, Martyna; Hess, Stephane; Choudhury, Charisma F.; Calastri, Chiara; Mushtaq, Faisal; Nazemi, Mohsen; van Eggermond, Michael; Erath, AlexanderImmersive technologies in transport research are gaining popularity, allowing for data collection in a controlled dynamic setting. Nonetheless, their ecological validity is still to be established hence their use in mathematical modelling in a transport setting has been scarce. We aim to fill this gap by conducting a study of cycling behaviour where non-immersive and immersive presentation methods are used in a virtual reality setting. The results confirm our hypothesis that participants behave differently when shown a choice scenario in non-immersive and immersive settings. In particular, cycling in an immersive setting is characterised by a higher degree of engagement. We also captured neural activity during task performance. We focussed on oscillations in the alpha (α) band where we found increased suppression in this signal in response to the immersive condition relative to the non-immersive. These results complement the behavioural findings and indicate that immersive environments may increase levels of task-engagement.01A - Beitrag in wissenschaftlicher ZeitschriftPublikation Modelling risk perception using a dynamic hybrid choice model and brain-imaging data: An application to virtual reality cycling(Elsevier, 29.12.2021) Bogacz, Martyna; Hess, Stephane; Calastri, Chiara; Choudhury, Charisma F.; Mushtaq, Faisal; Awais, Muhammad; Nazemi, Mohsen; van Eggermond, Michael; Erath, AlexanderRoad risk analysis is one of the key research areas in transport, where the impact of perceived risk on choices, especially in a dynamic setting, has been long recognised. However, due to the lack of dynamic data and the difficulty in capturing risk perception, existing studies typically resort to static and stated approaches to infer the experienced level of risk of individuals. In this paper, we aimed to address this research gap through developing a hybrid choice model that jointly employed dynamic data on cycling behaviour in virtual reality and neural data to evaluate how the fluctuations in momentary risk perception influence the behaviour of cyclists. The results of the developed model confirm our hypotheses, demonstrating that cyclists reduce their speed when approaching a junction as the potential for a collision with passing cars increases. Moreover, the latent component allowed us to establish a link between the neural data, the amplitude of alpha brainwaves, and objective risk measures. In line wi01A - Beitrag in wissenschaftlicher ZeitschriftPublikation Tempo im Veloverkehr aus planerischer Sicht(Pro Velo Schweiz, 2024) van Eggermond, Michael01B - Beitrag in Magazin oder ZeitungPublikation Assessing the effectiveness of an online cycling training for adults to master complex traffic situations(Elsevier, 03/2025) van Eggermond, Michael; Schaffner, Dorothea; Studer, Nora; Knecht, Leah; Johnson, LucyAcknowledging the significance of both subjective and objective safety in promoting cycling, there is a need for effective measures aimed at improving cycling skills among a broader population. Hence, the aim of the current study is to evaluate and investigate the impact of online cycling training targeted at adults. An online cycling training consisting of three modules was developed to train safe behaviour in seven prototypical safety-relevant situations. 10,000 individuals were invited to participate, with 700 individuals completing the training. The effectiveness of the training was evaluated using a mixed-methods approach combining self-report measures with behavioural measures. Self-report measures were collected using four items of the Cycling Skills Inventory and knowledge-based questions. On a behavioural level, effectiveness was investigated using a virtual reality cycling simulator. Participants’ self-reported cycling skills were evaluated before and after participation in the online training. Three out of four self-reported skills (i.e. predicting traffic situations, showing consideration, knowing how to act) improved on average, across participants. Moreover, participants who cycle less frequently benefited more from the training as they indicated their ability to recognise hazards, to predict traffic situations and to know how to appropriately after completion of the online training. Finally, all participants indicated that they felt more comfortable while cycling after completing the training. In the training evaluation, it was found that the treatment group navigated through traffic more safely on a behavioural level, and/or possessed the required knowledge-based skills in three out of five evaluated situations. These promising findings indicate that online cycling training is one potential avenue to develop cycling skills within a target audience of adult cyclists: not only on a knowledge level, but also on a behavioural level. Notwithstanding limitations, we conclude that an online cycling training can contribute to safer cycling and the promotion of cycling in general.01A - Beitrag in wissenschaftlicher ZeitschriftPublikation Simulation of policies for automated ride-hailing and ride-pooling services(05.01.2025) Kagho, Grace; Balac, Milos; van Eggermond, Michael; Erath, AlexanderAutomated vehicles are becoming more prevalent, and the disruption they would cause in combination with ride-hailing and ride-pooling services could be tremendous. Therefore, this study investigates the impacts of ride-hailing and ride-pooling automated fleets in two Swiss cities, Chur and Zurich, and potential policy measures to steer their operations towards more sustainable solutions. We employ the results of the stated preference survey and combine the estimated mode-choice and car ownership model results with the agent-based simulation, MATSim, to simulate the impacts of various scenarios. We find that automated ride-hailing (aRH) and automated ride-pooling (aRP) services do not seem to be competing for the same demand. In general, these services would lead to a reduction in total travel time but an increase in total vehicle distance, which is more substantial in transit-oriented Zurich than in car-oriented Chur. Furthermore, we found that even though the proposed policies increased vehicle occupancy, they did not manage to overcome the increase in VKT, signaling the need for more targeted policies and operational strategies. Finally, we provide recommendations for transport policy and future research based on our findings.04B - Beitrag KonferenzschriftPublikation Simulation of policies for automated ride-hailing and ride-pooling services(ETH Zürich, 01.08.2024) Kagho, Grace; Balac, Milos; van Eggermond, Michael; Erath, AlexanderAutomated vehicles are becoming more prevalent, and the disruption they would cause in combination with ride-hailing and ride-pooling services could be tremendous. Therefore, this study investigates the impacts of ride-hailing and ride-pooling automated fleets in two Swiss cities, Chur and Zurich, and potential policy measures to steer their operations towards more sustainable solutions. We employ the results of the stated preference survey and combine the estimated mode-choice and car ownership model results with the agent-based simulation, MATSim, to simulate the impacts of various scenarios. We find that automated ride-hailing (aRH) and automated ride-pooling (aRP) services do not seem to be competing for the same demand. In general, these services would lead to a reduction in total travel time but an increase in total vehicle distance, which is more substantial in transit-oriented Zurich than in car-oriented Chur. Furthermore, we found that even though the proposed policies increased vehicle occupancy, they did not manage to overcome the increase in VKT, signaling the need for more targeted policies and operational strategies. Finally, we provide recommendations for transport policy and future research based on our findings.05 - Forschungs- oder ArbeitsberichtPublikation Comparing Q347 development and regionalization using recent data in two Swiss cantons(09.11.2024) Dups, Yanick; Lebrenz, HenningIn Switzerland, low flows are characterized by the discharge level corresponding to a 95% exceedance probability on a ten-year average flow duration curve, referred to as Q347. This threshold not only has significant implications for planning but also requires authorities to adjust the operation of relevant infrastructure to mitigate ecological impacts on watercourses. The value of Q347 can be determined from a flow duration curve if a discharge time series of at least ten years is available. However, for smaller catchments such time series are typically unavailable, necessitating the regionalization of Q347 values. In Switzerland, multiple linear regression has been established to estimate the area-specific discharge q347 for ungauged basins. The primary objective of this study was to regionalize Q347 values for small, ungauged catchments (383 in the Canton of Solothurn and 9'034 in the Canton of Zürich) each with an area of less than 100 km². Daily discharge, precipitation, and temperature time series were collected for a 30-year study period from 1990 to 2020 from 56 gauged catchments in Solothurn, and similarly for a ten-year study period from 2013 to 2023 in Zürich, focusing on catchments smaller than 500 km² surrounding the target areas. A total of 30 “static” parameters delineating geometry, topography, geology, land use, and drainage along with nine “climatic” parameters describing temperatures, precipitation distributions, and potential evapotranspiration were defined and computed to characterize both gauged and ungauged catchments. The temporal variability of low flow events was then analysed for observed catchments in the two study areas. Over the past 30 years, the frequency of low flow events below the threshold has systematically increased, while the ten-year Q347 values for these catchments have decreased during the same period. Three multiple linear regression methods were developed and implemented to be coupled with two adjustment techniques supplementing truncated discharge time series. Validation of the proposed models showed reduced errors and increased linear correlations between estimated and observed values compared to standard models. Notably, a spatially more homogeneous yet catchment-specific distribution of estimated values is observable. The proposed models yielded promising results, particularly when time series remain unadjusted, or adjustment is done using the Antecedent Precipitation Index (API) combined with the flow duration curve of a donor basin (Ridolfi et al., 2020). Using recent data for parameter selection and model fitting, especially in the Zürich study area (2013-2022), often resulted in lower Q347 values compared to standard models, reflecting an adaptation to current climatic trends.06 - PräsentationPublikation How popular will ride hailing and ride pooling be with autonomous vehicles?(18.09.2024) van Eggermond, Michael; Erath, Alexander; Tanner, Reto06 - Präsentation