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URGENT

Financiado

Cerrado

Choice, necessity or chance? Understanding behaviouR chanGE iN Transport

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,... ver más

30/09/2027

TECHNICAL UNIVERSI...

2M€

Presupuesto del proyecto: 2M€

Líder del proyecto

DANMARKS TEKNISKE UNIVERSITET No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2022-08-05

ERC-2021-COG: ERC CONSOLIDATOR GRANTS Scope:Objectives

I+D

Cerrada hace 3 años

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Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

1 Participantes

TECHNICAL UNIVERSITY OF DENM...

1.94M€ | Lider

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Duración del proyecto: 61 meses Fecha Inicio: 2022-08-05
Fecha Fin: 2027-09-30

Líder del proyecto

DANMARKS TEKNISKE UNIVERSITET No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 2M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto 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.

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