The aim of the study is to detect geographical clustering of offences over time using Kulldorff’s scan test(SaTScan version 9.01; Kulldorff, 2010) and police recorded data over Stockholm city, the capital of Sweden.This technique has a rigorous inference theory for identifying statistically significant clusters. The space–timescan statistics are used in a single retrospective analysis using data from 1st January 2006 to 31st December2009. A four years’ dataset is collapsed into ‘one year’. All space-time dimensions of the data are kept except‘year’. Clusters over the hours of the day, weekday and weekend and by seasons were tested. Total populationbut also day-time and night-time populations were used as reference. Findings show clear distinct patterns ofconcentration for violence (assault and threat) and property crimes (theft, robbery and burglary) over time andspace. Whilst property crimes tend to happen more often in the afternoons in the center and regional commercialcenters in the southern and western parts of Stockholm, violence takes place more often in the night, and isheavily concentrated in large parts of the city center. Weekends are more targeted than weekdays for bothoffences. Regardless of day of the week, the main urban core of the city contains the most likely cluster thatextends to commercial and socially disorganized areas in the west and south Stockholm. Whilst property crimelevels do not show significant differences over the seasons, violent crimes levels do (winter and summer). Themost likely clusters tend to be fairly constant in space over time. The article ends with implications of the resultsfor both research and practice.

The aim of this article is to report on the security conditions in underground stations and surrounding areas in Stockholm, the capital of Sweden. The study is based on a comprehensive fieldwork combined with Geographical Information Systems techniques and regression models. Findings show that a relatively small share of reported events is crime; acts of public disorder are more common at the stations. Events tend to happen in the evenings - nights, holidays and weekends - and, at least for theft, in the hotter months of the year. Although the highest number of events is found in the central station, the so-called 'end-stations' show often higher rates than those located in the inner city. Results show that opportunities for crime are dependent on stations' environmental attributes, type of neighbourhood in which they are located and city context. These findings lend weight to principles of traditional urban criminology theory such as routine activity and social disorganisation. The article concludes with directions for future research and suggestions for policy.

The objective of this article is to propose an agenda for interventions to prevent or reduce crime and disorder at underground stations in Stockholm, the capital of Sweden. The article first reports the nature, the levels, and the patterns of crime and disorder across time and space. Different types of crime are analyzed and specific conclusions are drawn for each type of crime which relate to the suggested interventions presented in this article. Findings lend weight to principles of situational crime prevention to improve security in transport nodes, with overlaps with routine activity and social disorganization theories. Intervention measures comprehend suggestions on both environmental design related changes and more complex social aspects regarding the reduction of crime at transport nodes. Suggestions for interventions at Stockholm's underground stations, as presented here, constitute an illustration of what can be achieved with situational crime prevention principles; however, they may not be regarded as a "one-size-fits-all" solution to the demands and challenges of safety in transport nodes elsewhere.