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Results for department of public security of the state of rio

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Author: Reis, Antonio Tarcisio

Title: Relationship Between Some Physical Spatial Variables and Four Types of Street Crimes

Summary: Abstract This paper’s objective is the investigation of the relationship between the occurrence of four types of street crimes (pedestrian mugging, robbery of vehicle, vehicle theft, and theft of items inside a vehicle) in four different periods of the day (each period with six hours, starting at 6:00 a.m.) and physical spatial variables (segments attributes) such as: segment length, connectivity, integration, choice, dwelling types (houses or buildings with three or more floors), land use (residential or nonresidential), visual and physical connections, physical and visual barriers, nonvisual physical barriers and street lighting in the segments. The investigation is carried out in two residential boroughs in Porto Alegre, Brazil, namely, Menino Deus and Rio Branco. Data regarding the occurrence of the four types of crimes in the streets were collected in the Department of Public Security of the State of Rio Grande do Sul for a five years period, from 2006 to 2010. These data were tabulated in ArcGIS and related to each segment. Some segment attributes were obtained through the analysis in Depthmap of a segment map obtained from the axial map of the two boroughs. Data regarding dwelling type and land use were collected in the Department of City Planning. Data analysis included a linear multiple regression analysis, having the rates of four types of crimes in the streets as dependent variables, in each of the four periods of the day, to be explained by the physical spatial variables as independent variables. Results show, for example, that theft of items inside a vehicle is the type of street crime with the greatest number of occurrences, followed by the number of robbery of vehicle and by the number of vehicle theft, either in Menino Deus or in Rio Branco Borough. In general, the greatest number of theft of items inside a vehicle occurs during the night period. This is also the period where most robbery of vehicles, vehicles theft, and pedestrians mugging occurs. The linear multiple regression analysis carried out revealed that none of the 14 independent variables explain either rates of theft of vehicles or rates of theft of items inside a vehicle during the morning and afternoon periods. Additionally, a clear tendency for variables related to spatial configuration being associated with a reduction in any of the four types of street crime was found. On the other hand, variables characterizing the relationship between buildings and the street tend to be associated with an increase in any of the four types of street crime.

Details: London, UK: Proceedings of the Tenth International Space Syntax Symposium, Space Syntax Laboratory, The Bartlett School of Architecture, 2015. 9p.

Source: Internet Resource: Accessed January 14, 2019 at: http://www.sss10.bartlett.ucl.ac.uk/wp-content/uploads/2015/07/SSS10_Proceedings_138.pdf

Year: 2015

Country: Brazil

URL: http://www.sss10.bartlett.ucl.ac.uk/wp-content/uploads/2015/07/SSS10_Proceedings_138.pdf

Shelf Number: 154168

Keywords:
Department of City Planning
Department of Public Security of the State of Rio
Dwelling Type
Land Use
Linear Multiple Regression Analysis
Pedestrian Mugging
Physical Spatial Variables
Robbery of Vehicle
Segment Attributes
Street Crimes
Street Lighting
Vehicle Theft