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.
Christian Sailer has successfully defended his doctoral thesis on 25 May online via Zoom about the topic “Enhancing Knowledge, Skills, and Spatial Reasoning through Location-based Mobile Learning”.
Enhancing Knowledge, Skills, and Spatial Reasoning through Location-based Mobile Learning. In a few minutes I will defend my research of the last 6 years with #omleth. Many thanks for the collaboration @Innovedum @projuventute @SATW_ch @OpenDataZH @CeviSchweiz @schabelera pic.twitter.com/84Pf91TSlQ
— 𝓒𝓱𝓻𝓲𝓼𝓽𝓲𝓪𝓷 𝓢𝓪𝓲𝓵𝓮𝓻 (@csailer80) May 25, 2020
His research describes how an Location-based Mobile Learning (LBML) system utilizing GIS technology enhances the educational learning outcomes with a special focus on the spatial thinking process. Furthermore, this dissertation describes novel approaches of visual analytics with 2D and 3D map web components to produce new teaching strategies during the activities and new metacognitive strategies to evaluate and reflect the activity.
His presentation includes the study of case studies in universities, vocational schools, and informal education environments using design-based research to develop a mobile-friendly interactive mapping platform and the main study conducted in a secondary school under real conditions. Here, the evaluation focused on the impact of the technology regarding the learning performance and the teaching activities before, during, and after the activity. The results reveal a better cognitive learning outcome in classroom exams when a teaching sequence of several weeks includes an outdoor activity of a double lesson. Moreover, there is potential for enhancing learning beyond the outdoor part to improve spatial reasoning. Long-term self-assessment of the learners, however, resulted in no impact, whether cognitively or affectively. The workload for outdoor teaching compared to classroom teaching is higher mainly due to the profound inspections of the location. The findings and their implications for research and teacher education were discussed in order to corroborate the educational value of LBML to motivate educators using LBML strategies for teaching.
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.
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:
The “Tag der Geomatik” is the GISDay of the University of Applied Sciences and Arts Northwestern Switzerland (FHNW) and ETH Zurich and gives insight into the versatility of the field of geoinformatics and surveying.
Der #tagdergeomatik ist bereits am Laufen. Schon mehr als 200 Schülerinnen und Schüler besuchen unsere Ausstellung und die Module in Aarau. Die Ausstellung kann noch bis 16h von allen Interessierten besucht werden. @HABG_FHNW #geomatik #vermessung #fhnw #eth pic.twitter.com/vniz2iGIuq
— IGEO FHNW (@igeoFHNW) November 13, 2019
This year’s event took place as part of the “200yrs Swiss Geo X” events at the Culture and Convention Centre in Aarau and was held under the motto: how is our habitat recorded, what do we learn from the spatial data obtained and how do these data enable the sustainable design of our future habitat.
— Schweizer Weltatlas (@swissworldatlas) November 13, 2019
Our MIE-Lab module addressed the question whether we will lose spatial orientation in the future if we completely outsource navigation to a computer system and give up personal perception of space. This module with the ETH-App OMLETH took place outside in the old town of Aarau and provided GPS-based tricky exercises for spatial perception and orientation. Back in the congress centre the results were evaluated in classes, visualised (see the collection of six classes by 5 groups each) and discussed with the participants. A great event with a glittering feedback wall in the thumbs-up area.
— Christian Sailer (@csailer80) November 15, 2019
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.
As the second place we won 5000$ and an invitation to present at NeurIPS 2019.
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.