2022
DOI: 10.3390/ijerph191710862
|View full text |Cite
|
Sign up to set email alerts
|

Identifying the Spatio-Temporal Characteristics of Crime in Liangshan Prefecture, China

Abstract: Crime prevention and governance play critical roles in public security management. Liangshan Yi Autonomous Prefecture in Sichuan Province has a high crime rate, and spatio-temporal analysis of crime in this region could assist with public security management. Therefore, Liangshan Prefecture was selected as the research object in this study. The spatial crime data were obtained from China Judgments Online, and property crime, violent crime, and special crime (i.e., pornography, gambling, drugs, and guns) were a… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
2
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(3 citation statements)
references
References 28 publications
0
2
0
Order By: Relevance
“…In another study, SDE was used to expose the various attributes of economic distribution accurately using spatial statistical analysis [29]. Another study used hotspot analysis, Mean Center, and standard deviation ellipse to examine the changing distribution of violent crime [30]. A fifth study used Mean Center and SDE to quantify the spatial distribution of geographic elements in terms of the center [31].…”
Section: Literature Reviewmentioning
confidence: 99%
“…In another study, SDE was used to expose the various attributes of economic distribution accurately using spatial statistical analysis [29]. Another study used hotspot analysis, Mean Center, and standard deviation ellipse to examine the changing distribution of violent crime [30]. A fifth study used Mean Center and SDE to quantify the spatial distribution of geographic elements in terms of the center [31].…”
Section: Literature Reviewmentioning
confidence: 99%
“…As noted, the body of evidence from non-Western countries on hotspots is limited, so whether the same spatial patterns emerge in other locations is generally unknown, and this problem is exacerbated when it comes to mass transit environments. This is particularly the case in Asia, where studies of this nature are lacking (however, see Cheng et al, 2022;Liu et al, 2016;Wang et al, 2011, Wang andZhao, 2016). Furthermore, we are unaware of hotspots studies that look at crime harm rather than crime counts in these environments.…”
Section: The Present Studymentioning
confidence: 99%
“…Thus, publicly available crime data are typically crime records posted on police departments' official websites, recording the location, time, and other attributes of each case. Crime point sets released by national police departments have been widely used in crime research [21][22][23][24][25][26]. For example, UCR (uniform crime reporting) has been applied to the study of the spatiotemporal evolution and prediction of crime [27][28][29].…”
Section: Crime Data Characteristicsmentioning
confidence: 99%