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Urban Economic SEGregation: integrating explanatory mechanisms across geographical scales to compare remediatory policies in silico

Objective

The uneven concentration of people and economic resources in cities hampers the well-being and opportunities of poorer citizens and represents a threat to social cohesion. It is considered a major policy challenge by researchers and international institutions alike. My aim with the SEGUE project is to identify and model the combination of economic, geographical and demographical drivers of urban economic segregation in order to better understand its dynamics and to better assess possible remediatory policies. The existing literature on urban segregation mainly explains urban economic segregation with sociological and intra-city factors (resource accessibility, social networks, contextual effects and the urban form) but also acknowledges a link with the evolution of economic inequality. The existing literature on economic inequality, by contrast, mainly focuses on factors operating at the national and individual levels (selective migration, assortative mating, family inheritance, education). My project addresses this gap by spatialising the national and individual explanations of economic inequality relating to residential mobility or the tax and education system, and by integrating these into a simulation model of urban segregation. This model will be calibrated with a uniquely rich source of exhaustive and longitudinal individual data from the Netherlands. Its analysis will produce new insights about the interaction between drivers of economic inequality and segregation in cities and will provide a cost-effective tool to compare policies to reduce urban economic segregation at different scales of action (local, urban, national), ex ante (i.e. within the virtual laboratory of a simulation) instead of in situ with costly and risky experiments. The results obtained from the research should also open new perspectives to study various forms of inequality and facilitate the study of economic segregation in other national contexts.

Fields of science (EuroSciVoc)

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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)

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

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.

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.

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.

(opens in new window) ERC-2021-STG

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Host institution

TECHNISCHE UNIVERSITEIT DELFT
Net EU contribution

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.

€ 1 495 125,00
Total cost

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.

€ 1 495 125,00

Beneficiaries (1)

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