This European Call for Action on Rare Earth Magnets and Motors is the result of a stakeholder consultation process. It was conducted under the auspices of the European Raw Materials Alliance (ERMA), which was launched in 2020 by the European Commission under the leadership of Commissioner Thierry Breton and Vice President Maroš Šefčovič.
EIT KIC Reports
Minerals and metals are the lifeblood of our modern society and the key to a more sustainable future. The European Green Deal outlines the complex challenges Europe is facing on the way to carbon-neutrality and a zero-waste economy. A sustainable supply of non-fuel, non-agricultural raw materials from primary and secondary sources is crucial for the decarbonisation and functioning of Europe's industry.
The concept of a circular economy has recently gained traction in Europe as a positive, solutions-based perspective for achieving economic development within increasing environmental constraints. Raw, processed and advanced materials, from primary and secondary sources, are the backbone of the economy.
The constant introduction of new mobility options in urban transportation complexifies the mode choice of individual users. Relevant indicators have to give users a reliable guideline for mode choice as well as giving municipalities and industry a reasonable guideline for strategic orientation. Therefore, in this paper, a comprehensive assessment of transport options is conducted for indicators such as travel time, costs, CO2 emissions and external costs.
Mobility as a Service (MaaS) is considered a strategy that can provide potential solutions for a sustainable trans- port system. The current literature claims that MaaS can deliver net positive impacts for the transport system. However, whether these impacts are marginal or significant is unclear, as estimations typically are based on a few pilot tests. The lack of understanding of these impacts could create barriers for decision-making on policy and regulation in adopting MaaS strategy.
Public transit networks in cities are crucial in addressing the transforming mobility needs of citizens for work, ser- vices and leisure. The rapid changes in urban demographics pose several challenges for the efficient management of transit services. To forecast transit demand, planners often resort to sociological investigations, modeling or population data that are either difficult to obtain, inaccurate or outdated. How can we then estimate the variable demand for mobility?
The transport capacity of an urban railway line can be increased in many different ways. For planners and infrastructure managers it is vital to have all the tools available that allow choosing the most cost-effective solution among all the possibilities. This selection process can be complex sometimes and deciding how the available capacity should be increased is an important decision with significant financial consequences.
Many metropolitan regions are investigating Urban Air Mobility (UAM) as a new transport mode for medium distance intra-regional trips. In this paper, an agent-based travel demand model was developed to simulate UAM demand for the region surrounding Munich, Germany. Special attention was given to mode choice, vertiport access and egress, airport trips, and UAM vehicle capacity constraints. Under base conditions, the model predicts a rather small mode share for UAM of 0.61%.
The introduction of shared autonomous electric vehicles (SAEVs) brings along many advantages. Most of these advantages can be achieved when SAEVs are offered as on demand services by fleet operators. However, autonomous mobility on demand (AMoD) will only be established if fleet operation is economically worthwhile. This paper proposes a macroscopic approach to modeling two implementation scenarios of an AMoD fleet, differ- ing in the number of deployed SAEVs.
combined effort from five EIT KICs (EIT Manufacturing, EIT Urban Mobility, EIT Health, EIT Climate-KIC, and EIT Digital as coordinator). The EIT Knowledge and Innovation Communities represent the largest innovation ecosystem in Europe with more than 1,500 organisations from business, research, innovation, and higher education from all across Europe. By tapping into the vast innovation and application knowledge, the report identifies both general and sector specific concerns and opportunities for the further deployment of AI in Europe.