This article assesses the association between national welfare state regimes and public insecurities about crime across Europe. The point of departure is the idea that fear of crime expresses not just insecurities about safety but also broader societal anxieties. A multi-level analysis of respondents in 23 countries sampled in the 2004-05 European Social Survey finds a strong relationship between insecurities about crime and national levels of social expenditure and decommodification of social welfare policy. Some social protection measures seem more effective in preventing fear of crime than others, especially public non-monetary support for children and families which strengthen the individual's capacity to cope with problems on their own. We conclude with the notion that state-level social protections buffer the development of widespread fear of crime by mitigating various social and economic fears.
As a large-scale instance of dramatic collective behaviour, the 2005 French riots started in a poor suburb of Paris, then spread in all of France, lasting about three weeks. Remarkably, although there were no displacements of rioters, the riot activity did travel. Access to daily national police data has allowed us to explore the dynamics of riot propagation. Here we show that an epidemic-like model, with just a few parameters and a single sociological variable characterizing neighbourhood deprivation, accounts quantitatively for the full spatio-temporal dynamics of the riots. This is the first time that such data-driven modelling involving contagion both within and between cities (through geographic proximity or media) at the scale of a country, and on a daily basis, is performed. Moreover, we give a precise mathematical characterization to the expression “wave of riots”, and provide a visualization of the propagation around Paris, exhibiting the wave in a way not described before. The remarkable agreement between model and data demonstrates that geographic proximity played a major role in the propagation, even though information was readily available everywhere through media. Finally, we argue that our approach gives a general framework for the modelling of the dynamics of spontaneous collective uprisings.
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