AI-Generated Summary
Musterwohnung Pflege@Quartier (Model Apartment for Care in the Neighbourhood) is a Berlin smart city project located in the Märkisches Viertel housing estate that demonstrates how smart home technologies can support elderly and care-dependent residents in living independently in their own homes for longer. The model apartment is a fully furnished, publicly accessible demonstration space equipped with a comprehensive range of assistive technologies including sensor-based fall detection systems, automated lighting that responds to movement patterns, smart medication reminder devices, voice-controlled home appliances, telehealth terminals for remote medical consultations, and emergency call systems that alert carers or family members when unusual activity patterns are detected. The project addresses a critical demographic challenge facing Berlin and other European cities: an ageing population that wishes to remain in familiar surroundings rather than moving to institutional care facilities, combined with a growing shortage of professional care workers. By showcasing how relatively affordable smart home technologies can supplement human care, Musterwohnung Pflege@Quartier offers a practical vision for age-friendly urban living that balances independence, dignity, and safety. Visitors — including elderly residents, family carers, social workers, housing associations, and health professionals — can experience the technologies first-hand, ask questions, and receive guidance on which solutions might be suitable for their specific situations. The project is operated in collaboration between degewo (the municipal housing company managing Märkisches Viertel), health and social care providers, and technology companies, creating a cross-sector partnership model that can be replicated in other Berlin housing estates and across Germany. The initiative aligns with Berlin's smart city strategy and its commitment to inclusive digital transformation that improves quality of life for all residents, particularly vulnerable populations.