Previous research has indicated that various deprivation indicators have a positive impact on crime rates at the community level. In this article, we investigate the impact of deprivation indicators on crime in Belgian municipalities (n = 589) for the period 2001–06. A spatial regression analysis demonstrates that unemployment figures have a strong and significant impact on crime rates, and this effect is stronger than the effect of income levels. Income inequality has a significant positive impact on property crime rates but a negative impact on violent crime. Crime is heavily concentrated in the urban centres of Belgium, but we also observe some important regional variations. Demographic structure was not related to crime levels, while spatial analysis shows there is a spill-over effect to neighbouring communities for property crime, but not for violent crime. We close with some theoretical and policy considerations on the relation between unemployment and crime.

It has been suggested that certain residents, such as those with a low socioeconomic status, the elderly, and women, may benefit more from the presence of neighbourhood green space than others. We tested this hypothesis for age, gender, educational level, and employment status in four European cities. Data were collected in Barcelona (Spain; n = 1002), Kaunas (Lithuania; n = 989), Doetinchem (The Netherlands; n = 847), and Stoke-on-Trent (UK; n = 933) as part of the EU-funded PHENOTYPE project. Surveys were used to measure mental and general health, individual characteristics, and perceived neighbourhood green space. Additionally, we used audit data about neighbourhood green space. In Barcelona, there were positive associations between neighbourhood green space and general health among low-educated residents. In the other cities and for the other population groups, there was little evidence that the association between health and neighbourhood green space differed between population groups. Overall, our study does not support the assumption that the elderly, women, and residents who are not employed full-time benefit more from neighbourhood green space than others. Only in the highly urbanised city of Barcelona did the low-educated group benefit from neighbourhood green spaces. Perhaps neighbourhood green spaces are more important for the health of low-educated residents in particularly highly urbanised areas.

Only since the beginning of this century, the prevention of radicalization has become an important topic in debates about terrorism and sustainable development in developing countries. Research has shown that radicalized individuals are not uneducated, but have often completed secondary or tertiary education. Additionally, it became clear that some extremist groups consider the school environment as an attractive recruitment place. These findings led to a new approach where the education sector is considered as a prominent partner in preventing and combating the radicalization of young individuals. In this article, the potential limitations of the role of the education sector in developing countries are exposed. Based on previous research, three bottlenecks in the education sector were found: unequal access to education, poor quality of education and the relationship between education and employment. In order to strengthen the role of education for sustainable development in developing countries, it is recommended that equal access to education is improved, that schools invest in the creation of safe spaces for their students, that not only secondary but also primary and tertiary education are involved in policy strategies regarding radicalization, and that the job market is adjusted to the educational level of graduated students.

This study examines to what extent new and emerging data sources or big data have been empirically used to measure key theoretical concepts within environmental criminology. By means of a scoping review, aimed at studies published between 2005 and 2018, insight is provided into the characteristics of studies that used big data sources within environmental criminology. The type and extent of big data sources used, as well as the strengths and weaknesses of these data sources, are synthesized. After the selection procedure, 84 studies were included for further analysis. Although the number of studies increased each year, there has been a remarkable increase in the number of studies since 2014. The findings suggest that most studies used administrative data or user-generated content as one type of research data. However, innovative data sources (automated and volunteered data) have gained in importance in recent years. Also, most studies are of a descriptive or predictive nature, predominantly conducted by computational (social) scientists. Since these approaches pay little to no attention to mechanisms that bring about social outcomes, an alternative philosophical framework is proposed. We put forward a scientific realist approach as a solution to integrate data-driven and theory-driven research. This approach responds to recent calls to move towards an ‘analytical criminology’. The results are discussed within this framework, and translated into avenues for future research.