ArticleThe Canadian geographer. Geographe canadien2018
Using tweets to understand changes in the spatial crime distribution for hockey events in Vancouver.
Article in The Canadian geographer. Geographe canadien, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed, 19 citations in OpenAlex.
- Comparative Study of Approaches for Detecting Crime Hotspots with Considering Concentration and Shape Characteristics.International journal of environmental research and public health · 2022Article
- Spatial crime distribution and prediction for sporting events using social media.International journal of geographical information science : IJGIS · 2020Article
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Authors and funding
3 authors at 3 institutions in 5 countries.
Funding
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Abstract
The use of social media data for the spatial analysis of crime patterns during social events has proven to be instructive. This study analyzes the geography of crime considering hockey game days, criminal behaviour, and Twitter activity. Specifically, we consider the relationship between geolocated crime-related Twitter activity and crime. We analyze six property crime types that are aggregated to the dissemination area base unit in Vancouver, for two hockey seasons through a game and non-game temporal resolution. Using the same method, geolocated Twitter messages and environmental variables are aggregated to dissemination areas. We employ spatial clustering, dictionary-based mining for tweets, spatial autocorrelation, and global and local regression models (spatial lag and geographically weighted regression). Findings show an important influence of Twitter data for theft-from-vehicle and mischief, mostly on hockey game days. Relationships from the geographically weighted regression models indicate that tweets are a valuable independent variable that can be used in explaining and understanding crime patterns.
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