The sense of safety and security of older people is a widely acknowledged action domain for policy and practice in age-friendly cities. Despite an extensive body of knowledge on the matter, the theory is fragmented, and a classification is lacking. Therefore, this study investigated how older people experience the sense of safety and security in an age-friendly city. A total of four focus group sessions were organised in The Hague comprising 38 older people. Based on the outcomes of the sessions, the sense of safety and security was classified into two main domains: a sense of safety and security impacted by intentional acts and negligence (for instance, burglary and violence), and a sense of safety and security impacted by non-intentional acts (for instance, incidents, making mistakes online). Both domains manifest into three separate contexts, namely the home environment, the outdoor environment and traffic and the digital environment. In the discussions with older people on these derived domains, ideas for potential improvements and priorities were also explored, which included access to information on what older people can do themselves to improve their sense of safety and security, the enforcement of rules, and continuous efforts to develop digital skills to improve safety online. Original article at MDPI; DOI: https://doi.org/10.3390/ijerph19073960
MULTIFILE
This study offers an overview of the natural development of the use of an activity tracker, as well as the relative importance of a range of determinants from literature. Decay is exponential but slower than may be expected from existing literature. Many factors have a small contribution to sustained use. The most important determinants are technical condition, age, user experience, and goal-related factors. This finding suggests that activity tracking is potentially beneficial for a broad range of target groups, but more attention should be paid to technical and user experience–related aspects of activity trackers.
MULTIFILE
Green spaces play an important role in urban areas. We study the accessibility of green urban areas by combining open data sets about green with population size data. We develop a mathematical model to define the population density of a green area and calculate the available green space depending on the location. To this end, we do not only consider walking distance to and size of the green area, but also take into account the local population size. Our model quantifies how the available green space depends on the location in the city, such that heavily populated areas have a small amount of green available, even when closely located to a green area.
DOCUMENT
