Focus topic: | Artificial Intelligence |
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Type of funding: | Project funding programmes |
Programme: | CZS Transfer |
Funded institution: |
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For a realistic calculation of the accessibility of care facilities for senior citizens, the project systematically combines data on age structures of single-family residential areas with data such as distances, barriers and terrain.
Goals
For elderly people, the way to the supermarket, pharmacy or doctor is often too far in rural regions. Single-family home areas are just as affected by supply bottlenecks as the centres of structurally weak villages. In addition, supply planning often only takes distances into account; stairs or high kerbs are often not taken into account, nor are existing age structures. At Mainz University of Applied Sciences, age structures of single-family home areas are now to be systematically combined with other data (e.g. on barriers and terrain). This will make it possible to develop realistic calculations for the accessibility of care facilities for senior citizens. In addition, specific needs are being investigated in consultation with the municipalities.
Involved persons:
Prof. Dr.-Ing. Markus Schaffert
Hochschule Mainz
Detailed information:
Focus topic: | Artificial Intelligence |
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Programme: | CZS Transfer |
Type of funding: | Project funding programmes |
Target group: | Professors |
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Funding budget: | 1.000.000 € |
Period of time: | April 2021 - Dezember 2024 |