Exploring spatiotemporal dynamics and influencing factors of cyber-fraud: a quantile regression approach in Xiaoshan district, China

This study utilizes data on cyber-fraud crimes from the Public Security Bureau in Xiaoshan District for the year 2021 as its case study. It examines the spatiotemporal distribution of various types of cyber-fraud and investigates the influencing factors from social and built environments. Additional...

Full description

Saved in:  
Bibliographic Details
Authors: Wu, Hequn (Author) ; Liu, Li (Author)
Format: Electronic Article
Language:English
Published: 2024
In: International journal of law, crime and justice
Year: 2024, Volume: 78, Pages: 1-12
Online Access: Volltext (kostenfrei)
Volltext (kostenfrei)
Journals Online & Print:
Drawer...
Check availability: HBZ Gateway
Keywords:
Cyber-fraud
Influencing factors
Quantile regression
Spatiotemporal dynamics
Description
Summary:This study utilizes data on cyber-fraud crimes from the Public Security Bureau in Xiaoshan District for the year 2021 as its case study. It examines the spatiotemporal distribution of various types of cyber-fraud and investigates the influencing factors from social and built environments. Additionally, quantile regression models are employed to analyze the variation in the number of cases across different quantiles of the influencing factors. The study reveals significant differences in individual characteristics among victims of different types of fraud. Cyber-fraud occurrences exhibit distinct temporal patterns across various temporal scales, with significant differences in the duration of crimes among different fraud types. Cyber-fraud demonstrates significant spatial clustering, mainly concentrated in residential areas. The results of quantile regression indicate that cyber fraud is influenced by both the built environment and social environment, with noticeable variations in the coefficient of influence across different quantiles of the independent variables.
Item Description:Literaturverzeichnis: Seite 11-12
Physical Description:Illustrationen
ISSN:1756-0616
DOI:10.1016/j.ijlcj.2024.100687