[HTML][HTML] Mobile phone data: A survey of techniques, features, and applications

M Okmi, LY Por, TF Ang, CS Ku - Sensors, 2023 - mdpi.com
Due to the rapid growth in the use of smartphones, the digital traces (eg, mobile phone data,
call detail records) left by the use of these devices have been widely employed to assess …

Intelligent dual stream CNN and echo state network for anomaly detection

W Ullah, T Hussain, ZA Khan, U Haroon… - Knowledge-Based …, 2022 - Elsevier
Traditional video surveillance systems detect abnormal events via human involvement,
which is exhausting and erroneous, while computer vision-based automated anomaly …

[HTML][HTML] A systematic review of mobile phone data in crime applications: a coherent taxonomy based on data types and analysis perspectives, challenges, and future …

M Okmi, LY Por, TF Ang, W Al-Hussein, CS Ku - Sensors, 2023 - mdpi.com
Digital technologies have recently become more advanced, allowing for the development of
social networking sites and applications. Despite these advancements, phone calls and text …

Investigating the effect of people on the street and streetscape physical environment on the location choice of street theft crime offenders using street view images and …

H Yue, L Liu, L Xiao - Applied Geography, 2023 - Elsevier
As street crime occurs in the street, it is reasonable to assume that the location choice of
street crime offenders is affected by streetscape conditions and people on street. However …

[HTML][HTML] Modeling the effect of streetscape environment on crime using street view images and interpretable machine-learning technique

H Xie, L Liu, H Yue - … Journal of Environmental Research and Public …, 2022 - mdpi.com
Street crime is a common social problem that threatens the security of people's lives and
property. Understanding the influencing mechanisms of street crime is an essential …

Promise into practice: Application of computer vision in empirical research on social distancing

W Bernasco, E M. Hoeben, D Koelma… - Sociological …, 2023 - journals.sagepub.com
Social scientists increasingly use video data, but large-scale analysis of its content is often
constrained by scarce manual coding resources. Upscaling may be possible with the …

Effects of ambient population with different income levels on the spatio-temporal pattern of theft: a study based on mobile phone big data

G Song, L Cai, L Liu, L Xiao, Y Wu, H Yue - Cities, 2023 - Elsevier
Recent studies focus on how to accurately measure ambient population and its effects on
crimes. However, limited attention has been paid to the internal heterogeneity of ambient …

Associating street crime incidences with geographical environment in space using a zero-inflated negative binomial regression model

L Luo, M Deng, Y Shi, S Gao, B Liu - Cities, 2022 - Elsevier
Urban geographical environments play an important role in inducing the occurrences of
street crimes, so they have raised attention regarding the relationships between …

[HTML][HTML] Residents, employees and visitors: Effects of three types of ambient population on theft on weekdays and weekends in Beijing, China

G Song, Y Zhang, W Bernasco, L Cai, L Liu… - Journal of Quantitative …, 2021 - Springer
Objectives The residential population of an area is an incomplete measure of the number of
people that are momentarily present in the area, and of limited value as an indicator of …

[HTML][HTML] Changes in public attitudes toward CCTV installations in residential areas between 2008 and 2019

K Hino - Cities, 2022 - Elsevier
Despite a steady decline in crime, CCTV usage in public areas has increased rapidly,
spreading to residential areas and even non-metropolitan regions in Japan. However, few …