MOBI-TWIN argues that global changes, such as the green and digital transitions, require a redefinition of regional attractiveness to capture the changes in mobility drivers and impacts. The twin transition affects the attractiveness of regions and creates opportunities for lagging areas to attract people through better living and environmental conditions and accessibility to jobs. This leads to new mobility patterns that create a balance between permanent, circular and temporary moves, benefiting both traditional and emerging regions. The project uses big data and agent-based modelling to assess the impact of these patterns on EU regions and develop policies that take into account the impact on demographics, society and labour markets.
The project has four main objectives: (i) to analyse the changing mobility drivers based on the behaviour and impact of the twin transition, (ii) to study the new mobility equilibrium between EU regions, (iii) to use agent-based modelling to study the impact on demographics, welfare and labour markets, and (iv) to develop place-based policies for positive outcomes of the twin transition. Particular attention will be paid to COVID-19 and the impact of Brexit on free movement.
The objectives include:
Assess changing mobility factors and regional attractiveness.
Understanding the balance between permanent, circular and temporary mobility in EU regions
Develop a regional typology to identify areas of demographic risk.
Use agent-based models to assess the impact of mobility on demographics, social systems and labour markets.
Involve regional decision-makers in the design of measures to promote resilience.
Emphasise the dissemination and promotion of policy application of results.