2016

 

Suicides in commuting railway systems: The case of Stockholm County, Sweden

 

The objective of this study is to understand the spatial and temporal dynamics of suicides in commuting railway environments. Data on suicides in Stockholm commuting railway from 2006 to 2013 was analysed. The study sets out to identify significant clusters in suicides then evaluate whether commuting railway environments affect variations in suicide rates. Fieldwork inspection, spatial cluster techniques (NNHC and Getis-Ord statistics) and regression models underlie the methodology of study. Findings show no seasonality was observed in suicide cases, but winter months concentrate a larger share of events…

 

 

 

2015

 

Temporal and spatial patterns of suicides in Stockholm’s subway stations

 

This paper investigates the potential temporal and spatial variations of suicides in subway stations in Stockholm, Sweden. The study also assesses whether the variation in suicide rates is related to the station environments by controlling for each station's location and a number of contextual factors using regression models and geographical information systems (GIS). Data on accidents are used as references for the analysis of suicides. Findings show that suicides tend to occur during the day and in the spring. They are concentrated in the main transportation hubs but, interestingly, during off-peak hours. However, the highest rates of suicides per passenger…

 

 

 

 

2014

 

Assessing guardianship opportunities at underground stations

 

Research has provided plenty of evidence on how crime is influenced by guardianship – people’s capacity to affect crime. The aim of this article is to examine whether opportunities for guardianship are in turn affected by the physical and social environments of underground stations. Stockholm, the capital of Sweden, is used as a case study. Guardianship here constitutes two dependent variables indicated by visibility and surveillance. The analysis combines data from fieldwork with secondary land use and socio-economic data as independent variables in a set of logistic regression models. After controlling for endogeneity, findings show that guardianship opportunities are affected by...

 

 

 

Space–Time Dynamics of Crime in Transport Nodes

 

This article assesses space–time variations of crime rates in underground stations. Drawing on assumptions from time geography, routine activity principles, and defensible space theory, the study investigates daily, weekly, and seasonal variations of crime at underground stations in the Swedish capital, Stockholm. Data from extensive field work at the stations was combined with crime records and passenger flow to test whether stations’ environmental attributes affect crime at different times. Geographical information systems, spatial statistic techniques, and modeling underpin the methodology used in the study. Findings show that crimes tend to happen more often in the evening, at night, on…

 

 

 

Safety in Stockholm’s Underground Stations: An Agenda for Action

 

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…

 

 

 

 

2012

 

Space-time Clusters of Crime in Stockholm, Sweden

 

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–time scan statistics are used in a single retrospective analysis using data from 1st January 2006 to 31st December 2009. 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…

 

 

 

 

2011

 

Security in Stockholm's underground stations: The importance of environmental attributes and context

 

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…