Public health and care policies across OECD (Organisation for Economic Co-operation and Development) countries increasingly encourage aging in place, enabled by both formal care networks, and informal (family) care and social solidarity in the neighborhood. However, little is known about how a person’s neighborhood might affect their aging in place. The COVID-19 crisis unintendedly offered a good opportunity to observe the neighborhood’s role in the provision of care. Since formal care services were often limited during the lockdown, informal caregiving may have increased. However, intergenerational contacts in and outside of the household were strongly discouraged by governments worldwide, adding another layer of complexity to caregiving. The aim of this qualitative study was to assess how informal caregivers in Flanders managed to provide care to their care receivers, and what role the neighborhood played in this provision of care. Sixteen qualitative Skype and telephone interviews with informal caregivers were conducted between June and December 2020 to understand their experiences and coping strategies. Overall, most respondents increased their frequency of caregiving during the first lockdown. They took on the extra care needs during the lockdown themselves, and did not actively invoke any kind of neighborhood support. The significance of the neighborhood seemingly remained limited. This was often not because no help was offered, but rather due to a sense of pride or the fear of infection, and an increased effort by family caregivers.

To limit additional (net) land take for economic activities, the reality of space use needs to be properly understood. This was assessed by comparing the spatial patterns obtained from a field inventory with those from existing data for five case areas in Flanders (Belgium). Each case area is a transect from a high-density urban area to a suburban neighborhood or even a semi-rural zone. The statistics on these areas, based on official data, mostly derived from tax returns, social security contributions, and on commercial retail data, were checked with field observations. The location of economic activities and the patterns of space use vary in different settlement environments, resulting in the identification of typical characteristics for eight location environment types. While in, for example, core shopping centers a strong convergence can be noticed between existing statistics and the field inventory (71% of companies and 93% of parcels are detected on the field), in residential areas (21% of companies and 17% of parcels are detected on the field) the convergence is very limited. In other words, in some environments, (the combination of) data and statistics give a good understanding of the space use while, in other environments, gaps with realities in the field are obvious. Therefore, a field inventory system can enrich the picture and present another reality to complement both existing statistics and other land-use data methods such as remote sensing and web data extraction.