TY  - JOUR
PY  - 2022//
TI  - Characterizing the temporal regularities of crime
JO  - Discrete dynamics in nature and society
A1  - Luo, Xiaohua
A1  - Peng, Jiaruo
A1  - Mao, Mingsong
SP  - e1217627
EP  - e1217627
VL  - 2022
IS  - 
N2  - There are a lot of studies that show that criminal activities exhibit certain temporal and spatial regularities. However, they often focus on either specific cities or types of crime and cannot clearly explain the patterns for the crime. What are the temporal patterns at the microlevel spatial scale? How general? Understanding the regularities of urban crime is important because it can help us improve the economy and safety of the cities and maintain harmony. This study analyzes the theft and burglary crime data from five cities in the United States. We successfully find the spatiotemporal patterns of two types of crime in different time series across cities.<p />  <p>Language: en</p>
LA  - en
SN  - 1026-0226
UR  - http://dx.doi.org/10.1155/2022/1217627
ID  - ref1
ER  -