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Updated: Feb 17, 2026

Trajectory Data Analyses for Pedestrian Space-time Activity Study
Published on: February 25, 2013
Violence in public transportation: an approach based on spatial analysis
Daiane Castro Bittencourt de Sousa1, Cira Souza Pitombo2, Samille Santos Rocha2
1Universidade Federal da Bahia. Escola Politécnica. Departamento de Engenharia de Transportes e Geodésia. Salvador, BA, Brasil.
Spatial analysis identified high-risk public transportation robbery zones in Salvador using geostatistics. Key factors include escape routes, high foot traffic, and lack of policing, informing public policy for crime prevention.
Area of Science:
- Urban planning
- Criminology
- Geographic Information Systems (GIS)
Background:
- Public transportation systems are vulnerable to criminal activities like robberies.
- Understanding the spatial distribution of crime is crucial for effective law enforcement and public safety initiatives.
Purpose of the Study:
- To conduct a spatial analysis of public transportation robberies in Salvador, Bahia.
- To identify high-incidence regions and analyze contributing factors using geostatistics and multicriteria analysis within a GIS environment.
Main Methods:
- Utilized traffic analysis zones from the Origem-Destino survey (Salvador, 2013) as the unit of analysis.
- Georeferenced robbery data and performed spatial analysis to identify high-probability areas.
- Employed multicriteria analysis in GIS to examine potential causes of robberies in identified hotspots.
Main Results:
- Identified specific areas with a higher probability of public transportation robberies.
- Pinpointed three vulnerable road sections: Estrada da Liberdade, Rua Pero Vaz, and Avenida General San Martin.
- Found that proximity to escape routes, high pedestrian volume, and lack of police presence are significant contributing factors.
Conclusions:
- Indicator Kriging (geostatistical estimation) effectively creates spatial probability surfaces for policy implementation.
- Multicriteria analysis within a GIS framework enhances understanding of spatial factors influencing public transportation crime.
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