In a study commissioned by the Association of Dutch Municipalities (VNG), the applied research group European Impact has compiled the results from interviews executed by approximately 240 European Studies students at The Hague University of Applied Sciences. The purpose of this report is to compare and contrast the situation of intra-EU labor migrants (hereafter referred to as EU mobile citizens) in regard to registration, housing, and information flows in 12 different municipalities across the EU. Based on semi-structured interviews with municipal workers and individuals from employment agencies/companies from the selected municipalities, the picture that emerges is one of divergence. There are significant variations regarding the registration procedure and information flows for EU mobile citizens across the selected municipalities. For registration, differences include where the registration takes place, the amount of collaboration between municipalities and employment agencies/companies on registering EU mobile citizens, and the importance of addresses in the registration process. Regarding information flows across the selected municipalities, there are significant variations in the amount and type of information available to EU mobile citizens, the number of languages information is available in,as well as how the information is organized (i.e. in a centralized or decentralized way). Furthermore, while all the member states in which the selected municipalities are located provide information regarding registration on the Single Digital Gateway, not all provide information about renting housing. As for housing, the results revealed that most of the selected municipalities face issues with housing and that EU mobile citizens typically find housing either via their employers or personal network. Based on the results, a list of potential best practices and policy areas that could be improved was compiled. Furthermore, in order to have a stronger overview of policy developments in the field of EU mobile citizens among different municipalities, the VNG could consider hosting a Community of Practice with different municipalities across the EU as well as monitoring Interreg Europe projects focused on improving the situation of EU mobile citizens.
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BACKGROUND: The number of mobile apps that support smoking cessation is growing, indicating the potential of the mobile phone as a means to support cessation. Knowledge about the potential end users for cessation apps results in suggestions to target potential user groups in a dissemination strategy, leading to a possible increase in the satisfaction and adherence of cessation apps.OBJECTIVE: This study aimed to characterize potential end users for a specific mobile health (mHealth) smoking cessation app.METHODS: A quantitative study was conducted among 955 Dutch smokers and ex-smokers. The respondents were primarily recruited from addiction care facilities and hospitals through Web-based media via websites and forums. The respondents were surveyed on their demographics, smoking behavior, and personal innovativeness. The intention to use and the attitude toward a cessation app were determined on a 5-point Likert scale. To study the association between the characteristics and intention to use and attitude, univariate and multivariate ordinal logistic regression analyses were performed.RESULTS: The multivariate ordinal logistic regression showed that the number of previous quit attempts (odds ratio [OR] 4.1, 95% CI 2.4-7.0, and OR 3.5, 95% CI 2.0-5.9) and the score on the Fagerstrom Test of Nicotine Dependence (OR 0.8, 95% CI 0.8-0.9, and OR 0.8, 95% CI 0.8-0.9) positively correlates with the intention to use a cessation app and the attitude toward cessation apps, respectively. Personal innovativeness also positively correlates with the intention to use (OR 0.3, 95% CI 0.2-0.4) and the attitude towards (OR 0.2, 95% CI 0.1-0.4) a cessation app. No associations between demographics and the intention to use or the attitude toward using a cessation app were observed.CONCLUSIONS: This study is among the first to show that demographic characteristics such as age and level of education are not associated with the intention to use and the attitude toward using a cessation app when characteristics related specifically to the app, such as nicotine dependency and the number of quit attempts, are present in a multivariate regression model. This study shows that the use of mHealth apps depends on characteristics related to the content of the app rather than general user characteristics.
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The inefficiency of maintaining static and long-lasting safety zones in environments where actual risks are limited is likely to increase in the coming decades, as autonomous systems become more common and human workers fewer in numbers. Nevertheless, an uncompromising approach to safety remains paramount, requiring the introduction of novel methods that are simultaneously more flexible and capable of delivering the same level of protection against potentially hazardous situations. We present such a method to create dynamic safety zones, the boundaries of which can be redrawn in real-time, taking into account explicit positioning data when available and using conservative extrapolation from last known location when information is missing or unreliable. Simulation and statistical methods were used to investigate performance gains compared to static safety zones. The use of a more advanced probabilistic framework to further improve flexibility is also discussed, although its implementation would not offer the same level of protection and is currently not recommended.
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