About the Council
The PhD-council is the bridge between the PhD-students and the TRAIL-management. We act as an advisory board for the TRAIL-management regarding the TRAIL strategy, the course program and the TRAIL congress. Moreover, we organize PhD activities or social events every now and then for you to socialize or network with your peers.
If you have any questions, suggestions, ideas, problems or complaints, you can contact us by email or in person. And don’t forget to become a member of the TRAIL Members group on LinkedIn!
(in alphabetical order)
New mobility innovations are entering the market, for example electric vehicles, shared mobility and autonomous vehicles. How these innovations will change the mobility system in the future is uncertain because travelers’ preferences for mobility innovations are unknown. My research will investigate what the travelers’ preferences are and how they will likely change over time. To be able to predict travelers’ preferences for unfamiliar mobility innovations my research aims to further develop stated choice experiments as a valid data collection method for studying complex, unfamiliar and future choices. I started my PhD at the Technology, Policy and Management faculty of TU Delft in September 2020.
Background and interests:
I have a Master of Science degree in Transport, Infrastructure and Logistics and a Bachelor of Science degree in Architecture, Urbanism and Building Sciences, both from Delft University of Technology. In my free time I like to go camping, cycling, visit museums and do sports (obstacle running, tennis and trying out new sports).
In my PhD project I study complexity and emergent behaviour in port hinterland systems. Hinterland transport networks exhibit complexity due to growing transport volumes, infrastructural and capacity limitations, a scattered landscape of decision makers, and multiple heterogeneous transport modes. The aim of this research is to explain how emergent behaviour arises from distributed decision making in hinterland transportation, i.e. for a transportation system that today seems barely predictable or explicable, it should be able to derive behaviour patterns that describe how micro-level behaviour affects macro-level behaviour and vice versa. Furthermore, understanding emergent behaviour is crucial to understand network performance. With the knowledge about how emergent behaviour reacts to individual behaviour, improvement potential of network performance can be identified.
Background and interest:
I studied Business Mathematics (B.Sc. and M.Sc.) at the university of Mannheim, Germany. My major academic interest lies in modelling and simulation of complex transportation networks. In my leisure time I enjoy being in nature for running, mountain biking, or orienteering.
Rural areas are confronted with declining accessibility as a result of urbanisation and concentration forces. This could lead to constraints with respect to activity participation and social inclusion. However, the nature of the impacts of these higher needs for mobility in peripheral rural areas will depend on how accessibility is perceived. While some may experience major barriers with respect to reaching activities they desire and consequently with respect to inclusion in society, others may not experience any problems regarding accessibility depending on the ability to cope with declining accessibility and expectations regarding accessibility. My PhD project aims for an understanding of how perceptions of accessibility relate to activity and mobility patterns in peripheral rural areas in the Netherlands.
Background and interests:
I have a bachelor in Human Geography & Urban and Regional Planning and a master in Economic Geography, both from the University of Groningen. During my bachelor I obtained a high school teaching degree in Geography and I also studied at TU Delft for a while (master Transport, Infrastructure and Logistics), prior to my PhD. I have also worked as an electronic music producer, which I still like to do from time to time.
There has been an increase in the deployment of automated vehicles on roads, and is expected to keep increasing in the coming years. A transition period will resultantly take place where automated vehicles will be driving on existing infrastructure alongside human-driven vehicles. Such mixed traffic conditions could result in possible new interactions between the human-driven and automated vehicles that could cause changes in the human drivers’ driving behaviour, known as Behavioural Adaptation. My PhD research aims to develop a behavioural and mathematical theory that would be able to explain the nature of these interactions between automated vehicles and human-driven vehicles, and to predict the factors that could affect human driver behavioural adaptation. Developing such a theory would be valuable to predict the effects that automated vehicles would have on human-driven vehicles, and also to estimate the effects on traffic safety and performance.
Background and interests:
Completed my Bachelors in Civil Engineering in Bengaluru, India. I then moved to the Netherlands and completed my Masters in Civil Engineering (Transport & Planning) at TU Delft. Started my PhD from Nov 2019. My interests include playing the Bansuri (Indian flute), Yoga, horse riding, badminton, and pool/snooker.
Xueting Ren is a Ph.D. Candidate of the Urban Planning and Transportation Group of the Eindhoven University of Technology. She received her Master degree in Urban and Rural Planning from Beijing Jiaotong University. Her research interests include the areas of urban planning for smart mobilities and healthy cities, activity-travel behaviour analysis and spatial analysis. Her current work primarily focuses on examining consumer acceptance of the smart new mobilities, especially on different types of e-bikes from the perspective of household portfolios of transportation modes under new marketing and environmental conditions to promote smart and healthy cities.
In my PhD project I focus on the interactions between government and citizens in the decision-making process surrounding sustainable mobility. Aiming to deal with climate change and ever-growing populations of our cities, there is a need for mobility and transport systems to become more sustainable. However, formulating sustainable mobility policies is not easy; decision-makers, innovators, and citizens deal with many uncertainties in terms of future (inter)national guidelines, new technologies, and shifting public opinion. Within the On the Move program different kinds of these uncertainties are investigated, with my research focusing on structuring the interactions between government policy-makers and their citizens. Delving into methods of participative planning, I aim to investigate how the decision-making process can be structured so that robust and effective sustainable mobility policies can be achieved with the support of local communities.
Background and interest:
During my Bachelors in Psychology and Masters in Behavioral Science at the Radboud University Nijmegen, the intersection between human behavior and technology captured my interest. Branching out to the realm of technological design, I completed a PDEng traineeship (Smart Buildings & Cities) at Eindhoven University of Technology. In my free time I enjoy many kinds of games and puzzles, pictures of alpacas, and movies featuring Brad Pitt.
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