Using big data to develop best senior living concepts

“Data analytics helps design tailored living solutions for seniors”

Living independently until old age is becoming the norm. To facilitate this, insight into the housing needs of the seniors is necessary. This research uses (big) data to figure out how Dutch seniors make housing choices and what value they attribute to different properties of 
the home and the location. We show how these quantitative insights can be translated into attractive living concepts that meet various financial, geographical and other conditions.

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Key Takeaways for the Industry

  • (Big) data research shows what value seniors attribute to various characteristics of their home and location. This helps design a variety of attractive living concepts for the elderly.
  • It is not always possible to meet all housing preferences. Data analytics can help find the best trade-off between properties of the home and environment that are important to seniors.
  • In senior housing policy it is useful to distinguish target groups which differ in willingness to move and housing needs.

Want to know more?

Read the paper of Ioulia V. Ossokina and Theo A. Arentze “Met big data inspelen op woonwensen en woongedrag van ouderen: praktische inzichten voor ontwerp en beleid” (available in Dutch only).

Netspar, Network for Studies on Pensions, Aging and Retirement, is a thinktank and knowledge network. Netspar is dedicated to promoting a wider understanding of the economic and social implications of pensions, aging and retirement in the Netherlands and Europe.


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