scholarly journals Examining Factors Explaining Intra- and Inter-offender Variation in Journey-to-crime Distance

2021 ◽  
Vol 48 (1) ◽  
pp. 1-15
Author(s):  
Kazuki HIRAMA ◽  
Kaeko YOKOTA ◽  
Yusuke OTSUKA ◽  
Hikari FUJIMURA ◽  
Kazumi WATANABE ◽  
...  
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2020 ◽  
Vol 69 ◽  
pp. 101707
Author(s):  
Ashley N. Hewitt ◽  
Julien Chopin ◽  
Eric Beauregard
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Author(s):  
J. O. Olusina ◽  
J. B. Olaleye

This paper describes some benefits of crime mapping in a Geographic Information Systems (G.I.S.) environment. The underlining principle of Journey to Crime was discussed. Crime Spots and Police Stations in the study area were mapped, Shortest-Path, Closest Facility, Service Area and OD (Origin – Destination) Cost Matrix were determined based on Dijkstra's Algorithm. Results show that the distribution of police stations does not correspond with the spread of crime spots.


2008 ◽  
pp. 601-601
Author(s):  
Shashi Shekhar ◽  
Hui Xiong

2011 ◽  
Vol 31 (1) ◽  
pp. 70-78 ◽  
Author(s):  
Stijn Van Daele ◽  
Tom Vander Beken
Keyword(s):  

2014 ◽  
Vol 55 (2) ◽  
pp. 399-420 ◽  
Author(s):  
Christophe Vandeviver ◽  
Stijn Van Daele ◽  
Tom Vander Beken

2004 ◽  
Vol 7 (4) ◽  
pp. 457-474 ◽  
Author(s):  
Richard Z. Gore ◽  
April Pattavina
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2018 ◽  
Vol 7 (8) ◽  
pp. 325 ◽  
Author(s):  
Luzi Xiao ◽  
Lin Liu ◽  
Guangwen Song ◽  
Stijn Ruiter ◽  
Suhong Zhou

Research on journey-to-crime distance has revealed the importance of both the characteristics of the offender as well as those of target communities. However, the effect of the home community has so far been ignored. Besides, almost all journey-to-crime studies were done in Western societies, and little is known about how the distinct features of communities in major Chinese cities shape residential burglars’ travel patterns. To fill this gap, we apply a cross-classified multilevel regression model on data of 3763 burglary trips in ZG City, one of the bustling metropolises in China. This allows us to gain insight into how residential burglars’ journey-to-crime distances are shaped by their individual-level characteristics as well as those of their home and target communities. Results show that the characteristics of the home community have larger effects than those of target communities, while individual-level features are most influential. Older burglars travel over longer distances to commit their burglaries than the younger ones. Offenders who commit their burglaries in groups tend to travel further than solo offenders. Burglars who live in communities with a higher average rent, a denser road network and a higher percentage of local residents commit their burglaries at shorter distances. Communities with a denser road network attract burglars from a longer distance, whereas those with a higher percentage of local residents attract them from shorter by.


Author(s):  
Lucia Summers ◽  
Rob T. Guerette

This chapter considers how offenders and victims make use of space and how variations in their patterns of movement influence the occurrence of crime. It examines examples of individual offender decision-making, such as how past experience informs future decisions (both legitimate and illegal), and how individual activity patterns can influence the broader social processes that take place within the environment. It begins with an exploration of the fundamental theoretical frameworks upon which environmental criminology is based. It then discusses how these frameworks inform various aspects of our endeavor to understand crime, the particular benefits of each theoretical approach, and how they complement and contrast with one another. Particular emphasis is placed on how potential offenders, victims, and others use space, and how this impacts upon crime patterns. This is followed by discussions of specific areas related to offender mobility, namely the journey to crime and displacement.


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