Big data has opened a wide spectrum of opportunities in the field of transport research. Observing the recent emergent interest in the application of big data within transport, as well as the extended scope of its applications, it is evident that most of the challenges have yet to be addressed. Leveraging Big Data to Manage Transport Operations (LeMO) project will explore the implications of the utilisation of big data to enhance the economic sustainability and competitiveness of European transport sector. The project will study and analyse big data in the European transport domain in particular with respect to five transport dimensions: mode, sector, technology, policy and evaluation. LeMO will accomplish this by conducting a series of case studies, in order to provide recommendations on the prerequisites of effective big data implementation in the transport field. Through case studies, LeMO will investigate methodological, technological, governmental and institutional issues, which in turn contribute to evidence-based decision making. LeMO will supplement these case studies with a horizontal analysis that identifies the barriers and limitations of the transportation system to exploit big data opportunities. In collaboration with strong advisory and reference group, and expert stakeholders, LeMO will devise and develop research and policy roadmap that will provide incremental steps necessary towards data openness and sharing to make transport safer, more efficient and more sustainable. Notably, LeMO will bring crucial issues linked to privacy, data security and legal aspects to the forefront, paving the way for future legal framework for the collection and exploitation of big data in transport. Furthermore, LeMO will disseminate project findings to a large population of stakeholders, including transport authorities and industries leading to better understanding of travellers' and consumers' behaviour, targeted information and identify policy interventions.
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DeCrises addresses the complex challenges of the European Union (EU)'s twin transition that is reshaping society, the economy, and infrastructure at every level of governance. Through four case studies from the EU and European Economic Area, our primary goal is to pinpoint the gaps in the existing Multilevel Governance (MLG) framework guiding the twin transition and propose solutions that pave the way for an equitable transition. While the EU committed to achieving carbon neutrality by 2050, recent global crises, such as the COVID-19 pandemic and geopolitical tensions, have added complexity to the twin transition. This underscores the importance of cross-border collaboration and coordinated strategies at various levels of governance. DeCrises focuses on five objectives: To conceptualise a bottom-up MLG framework to foster citizen participation and stimulate social innovation and collaboration for an inclusive twin transition; To develop a robust MLG implementation strategy to translate the vision of a just twin transition across all levels of governance within the EU; To develop an understanding of community-led social innovations as drivers of twin transition and their role in MLG processes; To identify strategies to enhance regional and intra-regional collaboration and resilience; To facilitate and establish channels of collaboration and knowledge exchange between a diverse set of actors and explore ways to enhance policy instruments at various levels of governance. Transitioning to a green future requires significant changes to institutions historically tied to fossil fuels and limited levels of digitalisation. We focus on a shift from top-down decision-making to a more inclusive, democratic approach involving various levels of governance, including governments, businesses, and civil society. Our project provides comprehensive policy recommendations for improvement of MLG to strengthen democratic governance in the EU and ensure a just twin transition.
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