Project description
Examining mobility behaviour change
Several soft and hard measures and improved transport technologies are being applied to reduce carbon emissions in the sector. However, the results have not been successful. The ERC-funded URGENT project will provide knowledge for more effective intervention strategies by examining how people adapt their mobility behaviour and the mental mechanisms involved in this process. The project uses a comprehensive interdisciplinary approach based on a unique longitudinal dataset combining data collected via a bi-annual survey, case studies, in-depth interviews and an intelligent mobility diary app. URGENT will apply causal machine learning methods to detect which factors are the most relevant behaviour change initiators, examine the rebound effects of changed mobility behaviour, and interactions between behaviour change in different areas.
Objective
Despite various soft and hard measures as well as improved transport technologies, carbon emissions from transport are not decreasing. URGENT will provide the knowledge base for more effective intervention strategies. To this end, the project examines under which individual and contextual circumstances people change their mobility behaviour and what mental mechanisms are involved in these behaviour change processes.
The project uses a holistic interdisciplinary approach based on a unique longitudinal dataset. Over a 3-year period, data will be collected via a bi-annual survey combined with case studies including sub-samples of survey participants. Based on the survey, in-depth interviews and an intelligent mobility diary app, the case studies examine how people adapt their mobility behaviour in prospect and response to: (1) residential relocation, (2) anticipated vs. sudden life events and (3) transport technology adoption.
Applying causal machine learning methods, the project will uncover which personal, social, technical or spatial factors are most relevant initiators of behaviour change and will specify the causal relations between involved factors, informed by the case studies. URGENT will additionally examine rebound effects of changed mobility behaviour (e.g. car use reduction, electric vehicle adoption) and reveal under which conditions, and to what extent, behaviour change in one area (e.g. commuting) positively or negatively spills over to other areas (e.g. air travel, food consumption).
URGENT applies a novel analytical strategy that cross-fertilizes concepts from psychology (behaviour change models), human geography (mobility biographies approach), sociology (mobility cultures) and machine learning (causal discovery and causal inference). The project will not only fundamentally increase the understanding of behaviour change in transport, but also bears the potential to lead to a breakthrough in studying causality in transport research at large.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.1 - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-ERC - HORIZON ERC Grants
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2021-COG
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
2800 KONGENS LYNGBY
Denmark
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.