flanders

RESEARCH INSTITUTION

iMEC

WWW.IMEC-INT.COM

Background info

The population pyramid of the Flemish Region in 2019 shows the characteristic profile of an outdated population: a heavy peak and a narrow base. The category “50 to 64-year-old” weighs heavily in the population. It is therefore crucial that public services are tailored to the needs of this ever-growing but also evolving target group. Next to the inverted age pyramid, the problem of urban sprawling between the Flanders major cities causes specific problems in terms of equal accessibility of public services for vulnerable groups such as older people, today and tomorrow.

Problems to solve

Use case 1: Obstacles in the public domain can have a major impact on older adults and people with limitations of mobility.
Think of a walkway or road that is interrupted, an event that takes place, etc. Older adults should be informed, in order to organize themselves to cope with these obstacles. There is data about obstacles in the public domain and there is also data
about age, physical disabilities, places of residence, and points of interest. Through specific algorithms, it could be determined which people might experience potential nuisance But not all older people are digitally minded. We want to investigate how older people can be informed and what role the network of the older adults can play in this use case to react pro-actively to obstructions in the public domain.

Use case 2: Through evidence-based policy for the older adults based on historical, actual, and predictive information in the
social and geographical domain, we want to inform policy-making organs in the public services to improve short and mid-term decisions for older adults.

Why Urbanage solution?

  • Policymakers will be supported in their policy towards older people and evolving populations in neighborhoods through data-based evidence, unlocked by combining geo and social data.

  • Citizens may receive proactive notifications and report nuisances to increase the accuracy of the nuisance prediction algorithms.

expected benefits

  • Working with personal data is always a legal challenge. The result of this use case is a legal framework for data aggregation and automatic rights allocation.

  • Based on data and algorithms, we want to investigate how we can support decision processes. We want this both for the current situation and for long-term urban planning.

  • An important added value of the use case is the end-to-end approach. We translate the needs of the citizen into data and then into algorithms. Finally, we examine how we can get the result back to the citizen.

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FLANDERS REGION

Informatie vlaanderen

WWW.VLAANDEREN.BE