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Abstract
The aim of this study is to assess the nature and space-temporal dynamics of property crimes (theft and robbery) in transport nodes, namely, metro stations and their immediate surrounding areas. The analysis is based on crime data over São Paulo’s metro system from 2010 to 2017. Drawing from environmental criminology theory, the methodology combines geographical information system (GIS) as well as statistical analysis using hypothesis testing and negative binomial regression models. Results show that thefts happen more often inside the station and robberies outside, with signs of possible interaction between these environments. Crime is often highly concentrated in a few inner city and end stations, but it varies depending on location and time. Future research and policy implications of the results add to the contribution of this current study.
Highlights
The aim of this study is to assess the nature and space-temporal dynamics of theft and robbery in metro stations and their immediate surrounding areas
This article makes a contribution to the way police recorded crime data can be aggregated in geographically detailed units and further analysed using geographical information system (GIS)
Visual inspection combined with rigorous statistical analysis, including binomial regression models, were useful to assess temporal and spatial patterns of crime using metro stations as reference
Summary
The aim of this study is to assess the nature and space-temporal dynamics of theft and robbery in metro stations and their immediate surrounding areas. This is an important topic because transit crime is a serious problem for public transportation operators all around the world This study is important because it contributes to the increasing literature on transit crime and, in particular, a better understanding of the nature of metro stations as criminogenic places and as ‘risky places’ (Block and Davis 1996; Block and Block 1999, 2000) or ‘risky facilities’ (Clarke and Eck 2007)
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