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In our recent publication “Exploring Factors that Influence Individuals’ Choice Between Internal Combustion Engine Cars and Electric Vehicles“, we use a large dataset of people owning both an Internal Combustion Engine (ICE) car as well as an Electric Vehicle (EV) to determine the impacts of various predictor variables on their choices between the two car types. The gained insights may give additional information to assess common uncertainties regarding EVs: “How far can I drive with a fully charged vehicle? How quickly does the battery wear out? Does the reduced range and/or lack of a substantial number of charging stations impact my mobility?”

We find that chocies between ICE cars and EVs are regular considering an individual user, but that it is almost impossible to guess how someone will choose for a given trip if nothing about the person is previously known. This is a strong indication that most trips can easily be performed with any of the two vehicle types, and only individual preferences and circumstances determine the choices.

The second phase of the FRS programme at the Singapore-ETH Centre officially started on April 1st with an online research kick-off meeting. It was launched in the midst of a global crisis – COVID-19, highlighting the need to better understand and foster resilience. Within FRS-II there is a particular emphasis on social resilience to enhance the understanding of how socio-technical systems perform before, during and after disruptions. MIE Lab researchers will contribute within a research cluster focusing on distributed cognition (led by Martin Raubal). More specifically, we will develop a methodology and prototype for detecting weak signals in mobility data to identify potential disruptions.

Our former lab member Dr. David Jonietz recently gave an interview regarding how geospatial data and a digital map of the world can help transform mobility. Currently a research group leader at HERE Technologies, David Jonietz points out how we can step beyond simple maps to create more comprehensive digital representations of reality, which in turn can be used for traffic prediction and management, optimization of mobility systems, and more.

Read the full interview on the SCCER Mobility homepage.

We are exited to announce that we have an open position in our lab. We are looking for a new post-doc to take over the team lead at the MIE-Lab as soon as possible. If you are interested, please check the description at the ETH jobpage:
https://jobs.ethz.ch/job/view/JOPG_ethz_7R9Rl0z6QH6GC0M9Cv

We welcome Jannik as our new team member! He holds a B.Sc. in Mathematics from FAU Erlangen and a M.Sc. in Statistics from ETH Zurich. His work will focus on applying machine learning and data analysis methods to problems in mobility and energy science.

Read more here!

We are happy to announce, that our team scored the second place at the IARAI Traffic4cast competition! The goal of the competition was to predict the traffic in 3 different major cities (Berlin, Istanbul, Moscow) based on high resolution traffic map movies.

Over 40 teams participated and submitted a total of over 4000 submissions in the competition. You can check out our code and the documentation!

As the second place we won 5000$ and an invitation to present at NeurIPS 2019.

Not all members of our competition team are officially affiliated with the MIE-Lab, so special thanks to Ye Hong, Christian Rupprecht and René Buffat!

With the Energy Strategy 2050, Switzerland committed to reduce greenhouse gas emissions by 43% until 2035. Currently, the transport sector is the only sector without a decrease in energy consumption.

In our recent publication (also presented at Scientifica 2019), we analyzed the energy and greenhouse gas reduction potentials when e-bikes are used instead of internal combustion engine cars for commuting. Our analysis includes different scenarios for the minimal temperature, maximal precipitation as well as trip duration acceptable to take the e-bike. The results show that energy reductions between 10% and 17.5% are possible.

If you are interested in the saving potentials in your municipality, please click the following link: https://mie-lab.github.io/commuter-ebikes-ch.

You can find the paper under https://www.researchgate.net/publication/335118713_Energy_and_greenhouse_gas_emission_reduction_potentials_resulting_from_different_commuter_electric_bicycle_adoption_scenarios_in_Switzerland.

In an interview with Basel Unterwegs (in German), Prof. Martin Raubal talks about trends in mobility, such as combined or shared mobility, mobility as a service, app-based tracking and billing, or how electric cars replace conventional ones. The rising number of bicycles on our roads, the fact that train stations increasingly have the character of shopping malls, or the large number of bike- and scooter-sharing companies further hint at changes in how we perceive and use mobility.

Hey Everybody,

we are looking for a new PhD student. We are looking forward to your application!

https://apply.refline.ch/845721/7060/pub/1/index.html