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Posts tagged Routine activity theory
Spatial Dynamics of Homicide in Medieval English Cities: The Medieval Murder Map Project

By Manuel Eisner,  Stephanie Emma Brown,  Nora Eisner &  Ruth Schmid Eisner 

This study examines the spatial patterns of homicide in three 14th-century English cities—London, York, and Oxford—through the Medieval Murder Map project, which visualizes 355 homicide cases derived from coroners’ inquests. Integrating historical criminology with contemporary spatial crime theories, we outline a new historical criminology of space, focused on how urban environments shaped patterns of lethal violence in the past. Findings reveal similarities in all three cities. Homicides were highly concentrated in key nodes of urban life such as markets, squares, and thoroughfares. Temporal patterns indicate that most homicides occurred in the evening and on weekends, aligning with routine activity theory. Oxford had far higher homicide rates than London and York, and a higher proportion of organized group-violence, suggestive of high levels of social disorganization and impunity. Spatial analyses reveal distinct areas related to town-gown conflicts and violence fueled by student factionalism. In London, findings suggest distinct clusters of homicide which reflect differences in economic and social functions. In all three cities, some homicides were committed in spaces of high visibility and symbolic significance. The findings highlight how public space shaped urban violence historically. The study also raises broader questions about the long-term decline of homicide, suggesting that changes in urban governance and spatial organization may have played a crucial role in reducing lethal violence.

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The Effect of COVID‑19 Restrictions on Routine Activities and Online Crime 

By Shane D. Johnson and  Manja Nikolovska

Objectives Routine activity theory suggests that levels of crime are affected by peoples’ activity patterns. Here, we examine if, through their impact on people’s on- and off-line activities, COVID-19 restriction affected fraud committed on- and off-line during the pandemic. Our expectation was that levels of online offending would closely follow changes to mobility and online activity—with crime increasing as restrictions were imposed (and online activity increased) and declining as they were relaxed. For doorstep fraud, which has a different opportunity structure, our expectation was that the reverse would be true. Method COVID-19 restrictions systematically disrupted people’s activity patterns, creating quasi-experimental conditions well-suited to testing the effects of “interventions” on crime. We exploit those conditions using ARIMA time series models and UK data for online shopping fraud, hacking, doorstep fraud, online sales, and mobility to test hypotheses. Doorstep fraud is modelled as a non-equivalent dependent variable, allowing us to test whether findings were selective and in line with theoretical expectations. Results After controlling for other factors, levels of crime committed online were positively associated with monthly variation in online activities and negatively associated with monthly variation in mobility. In contrast, and as expected, monthly variation in doorstep fraud was positively associated with changes in mobility. Conclusions We find evidence consistent with routine activity theory, suggesting that disruptions to people’s daily activity patterns afect levels of crime committed both on- and off-line. The theoretical implications of the findings, and the need to develop a better evidence base about what works to reduce online crime, are discussed. 

Journal of Quantitative Criminology, 2022.

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