The Impact of Residents’ Daily Internet Activities on the Spatial Distribution of Online Fraud
An Analysis Based on Mobile Phone Application Usage
Bibliographic Data
| ID | 22033264 |
|---|---|
| Authors | G Song (0000-0002-0090-7118, Guangzhou University), Jiajun Liang (0000-0001-5059-8678, Guangzhou University), Linlin Wu (0000-0002-5567-8519, Guangzhou University), Lin Liu (0000-0002-7202-3418, Guangzhou University), Chunxia Zhang (0000-0003-4805-1109, Guangzhou Panyu Polytechnic, corresponding author) |
| Year | 2025 |
| Volume | 14 |
| Issue | 4 |
| Pages | 151 |
| Publication date | 2025-03-31 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS International Journal of Geo-Information (JOURNAL) |
| Journal identifiers | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ijgi14040151 |
| OpenAlex | W4409047511 |
| Language | EN |
| Citations received | 1 |
| References cited | 20 |
In recent years, there has been a sharp increase in the number of online fraud cases. However, research on crime geography has paid little attention to online crimes, especially to the influencing factors behind their spatial distributions. Online fraud is closely related to people’s daily internet use. The existing literature has explored the impact of internet use on online crimes based on small samples of individual interviews. There is a lack of large-scale studies from a community perspective. This study applies the routine activity theory to online activities to test the relationship between online fraud alert data and the usage durations of different types of mobile phone users’ applications (apps) for communities in ZG City. It builds negative binomial regression models for analyzing the impact of the usage of different types of apps on the spatial distribution of online fraud. The results reveal that the online fraud crime rate and the online time spent on a financial management app share the most similar spatial distribution. While financial management, online education, transportation, and search engine app usages have a significant positive association with online fraud, the use of a financial management app has the greatest impact. Additionally, time spent on social media, online shopping and entertainment, and mobile reading apps have a significant negative association with online fraud. As not all online activities lead to cybercrime, crime prevention efforts should target specific types of apps, such as financial management, online education, transportation, and search engines
Business · Internet privacy · Mobile phone · Phone · Telecommunications · The Internet · World Wide Web · Computer Science · Crime Patterns and Interventions · Cybercrime and Law Enforcement Studies · Mathematics · Spam and Phishing Detection
Online Routines and Identity Theft Victimization
The Spatiotemporal Pattern and Driving Factors of Cyber Fraud Crime in China
The Ponzi Scheme Puzzle
Communities, Crime and Social Capital in Contemporary China
Being Pursued Online
Poisson-Based Regression Analysis of Aggregate Crime Rates
Routine Online Activity and Internet Fraud Targeting
Geographies of identity theft in the U.S
Theft from the person in urban China
Social Change and Crime Rate Trends
Going Cyber
Applying Routine Activity Theory to Cybercrime
Examining the Applicability of Lifestyle-Routine Activities Theory for Cybercrime Victimization
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 1 |