Experience virtual reality with research. A VR experiment will be conducted by Yan Feng, a PhD candidate from T&P department, Civil Engineering and Geoscience Faculty of the Delft University of Technology. This is part of her PhD project.
What is the VR experiment?
The VR experiment is to investigate pedestrian behaviour in a virtual building. We want to validate whether VR can be used as a research tool to study pedestrian behaviour. During the experiment, you will wear VR glasses and finish several tasks in the virtual environment by providing information.
When and where is it?
The experiment will be conducted from 18th- 30th November, between 9:00-17:00. Every experiment takes ca. 30 minutes to finish. The location will be at the campus of TU Delft.
Who can participate?
Anyone is welcome! If you are interested, please join by filling out the recruitment form and select an available time for you from here: https://calendly.com/y-feng/vr
Any help is valuable!
We want to recruit as many participants as possible, so please share this information with all of your colleagues and friends. All help is appreciated. If you have any questions, please feel free to contact Yan Feng, email@example.comThank you!
On September 20, some of the research performed as a joint effort of the Active Mode Lab and the UMO Lab was demonstrated during the TU Delft Campus kick-off event. The TU Delft Campus aims to bridge scientists, students, start-ups, companies and knowledge institutions, to facilitate the collaboration between academia and practitioners in an earlier stage.
One of the projects that were showcased at the event was the UMO (Urban Mobility Observatory) project, funded by the NWO large programme. During this project, an integrated platform will be developed, that will collect, combine and archive a multitude of mobility-related data sources (e.g., sensor data, camera data, surveys and mobile phone data). One of the strengths of the UMO platform is that it will allow researchers to combine different data sources to get a better understanding of mobility-related choices that people make.
During the TU Delft Campus kick-off event, we showed a sneak preview of the UMO platform features. A dashboard was configured that combined visualizations of GPS data and survey responses that were collected through a mobile phone application that was installed by a group of visitors of the event. Besides that, social media analyses were performed in real-time, resulting in a live word-cloud and a sentiment chart of all Twitter tweets related to the TU Delft Campus kick-off event. Finally, the dashboard showed a live video stream from the Leeghwaterstraat (Fietsstraat on the TU Delft campus). The social media analyses, the mobile phone application and the dashboard have all been developed in the last few years, mainly as part of the ALLEGRO project, and will be officially integrated with the UMO platform.
On the 17th of September Danique Ton has defended her thesis entitled ‘Unravelling mode and route choice behaviour of active mode users’ at the Delft University of Technology. Her thesis will soon be available and can be found in the repository of the TU Delft. We are happy to see that she passed this final hurdle with flying colours and wish the young new doctor all the best in her new position as a postdoc in our department.
In the morning, TRAIL organised a nice seminar to highlight this occasion, which was attended by more than 40 participants from TU Delft and other knowledge institutes in the Netherlands. Four experts in the field of travel behaviour modelling presented recent developments and applications. Prof. Patricia Mokhtarian presented a latent-class regression approach to determine the role of attitudes in perceptions of bicycle facilities. Prof. Elisabetta Cherchi studied latent constructs to model travel choice behaviour. Prof. Shlomo Bekhor discussed a new frequency-based transit assignment model which can consider online information and capacity restrictions. Prof. Bert van Wee closed the workshop with an introduction of a new concept in the field of policy-making for travel behaviour, namely that of ‘substitutability’.
This August we organized two full days of active mode research for 18 Bachelors and Masters students from the University of South Florida. Together with Prof. Robert Bertini, the organizer of the trip, the students were visiting TU Delft and the Netherlands as part of a two-week summer school on sustainable transportation.
PROGRAM SNEAK PEEK:
While the first day focused on Bicycle Queue Density and Discharge, the second-day program was built around Dutch Cycling Infrastructure and Perceptions. We had an excellent Allegro-lineup, and each of the two days included theory, experiments, data collection, data processing, analyses, discussions, and eventually barbecue & sports. Experiments and data collection were performed at the Green Village (a living lab for sustainable innovation on TU Delft campus), as well as on Delft’s cycle tracks.
COOL, AND HOW WAS IT?
The feedback we received from the students was excellent. We experienced them as being interested, energetic and always looking for interaction. They became active mode researchers for 2 days, by learning how to design their own experiments and data collection plans in order to answer research questions. In fact, they all collected their own data, processed and analyzed it and finally presented the results. The experiments and data analysis were not only for educational purposes, but the students actually were at the frontier of new science. In both their experiments as well as in their analyses, they contributed to the state-of-the-art research. But most of all, they had a GOOD TIME.
ALRIGHT, AND WHO DID ALL OF THIS?
Thanks to Professor Rober Bertini for designing the summer school and for initiating the cooperation with the Allegro group. Recognitions, to the fantastic team that made it all happen: Giulia Reggiani, Lara Zomer and Alphonse Vial for the entire organization, and for leading the day on Physical and Perceived Networks. Victor Knoop, Marie-Jette Wierbos and Martijn Sparnaaij, thank you for contributing to the whole first day of research at the Green Village with insight on Densities of Active Mode Users. Finally, the students benefited from the guidance of Tim van Oijen during the data analysis and presentation session.