Risky places and criminogenic facilities: Understanding property crime at micro-spatial units

Author: 
Date created: 
2019-06-24
Identifier: 
etd20373
Keywords: 
Crime and place
Street segments
Property crime
Count data
Theory integration
Zero-inflated negative binomial
Abstract: 

Criminologists have long-known that spatial crime patterns vary across different geographic areas. Until recently, research has shown that crime is highly concentrated at a small number of micro-places. Subsequent studies have found that these spatial patterns are generalizable across different urban settings and are relatively stable over time. Although more scholars are beginning to recognize the importance of measuring crime at places, little is known about the explanatory factors of crime at the micro-spatial scale. Using police incident data and land-use information obtain from the Vancouver Open-Data catalogue, zero-inflated negative binomial models were used to understand the spatial patterns of various types of property crimes at street segments. The results demonstrate that certain facilities have a significant impact on these crime types at the micro-spatial level. Depending on the crime type, the strength of the relationship varies in magnitude and level of significance.

Document type: 
Thesis
Rights: 
This thesis may be printed or downloaded for non-commercial research and scholarly purposes. Copyright remains with the author.
File(s): 
Supervisor(s): 
Martin Andresen
Department: 
Arts & Social Sciences: School of Criminology
Thesis type: 
(Thesis) M.A.
Statistics: