Information fusion in crime event analysis: A decade survey on data, features and models
Crime event analysis (CEA) has become increasingly important in assisting humans in
preventing future crimes. A fundamental challenge in the research community lies in the …
preventing future crimes. A fundamental challenge in the research community lies in the …
A systematic review of multi-scale spatio-temporal crime prediction methods
Y Du, N Ding - ISPRS International Journal of Geo-Information, 2023 - mdpi.com
Crime is always one of the most important social problems, and it poses a great threat to
public security and people. Accurate crime prediction can help the government, police, and …
public security and people. Accurate crime prediction can help the government, police, and …
Linking Luojia 1-01 nightlight imagery to urban crime
Various environmental criminology theories and empirical studies have linked the urban
environment to crime. The crime pattern theory, in particular, argues that edges, either social …
environment to crime. The crime pattern theory, in particular, argues that edges, either social …
Contribution of built environment factors and their interactions with subway station ridership
Z Wang, S Li, J Song, S Liu, D Liu, J Jia - Public Transport, 2024 - Springer
Exploring the built environment's impact on subway station ridership can aid in developing
effective built environment update strategies. Previous studies lack an analysis of the impact …
effective built environment update strategies. Previous studies lack an analysis of the impact …
Urban crime mapping and analysis using GIS
On 22 April 2018, the authors were invited by the Editor-in-Chief, Prof. Wolfgang Kainz, to
establish a Special Issue in the ISPRS International Journal of Geo-Information on “Urban …
establish a Special Issue in the ISPRS International Journal of Geo-Information on “Urban …
Criminal psychology trend prediction based on deep learning algorithm and three-dimensional convolutional neural network
Y Fan - Journal of Psychology in Africa, 2021 - Taylor & Francis
In the modern era, the empirical analysis of countermeasures against crime has developed
rapidly from the perspective of crime causes. The concept of punishment based on …
rapidly from the perspective of crime causes. The concept of punishment based on …
Construction, detection, and interpretation of crime patterns over space and time
Z Wang, H Zhang - ISPRS International Journal of Geo-Information, 2020 - mdpi.com
Empirical studies have focused on investigating the interactive relationships between crime
pairs. However, many other types of crime patterns have not been extensively investigated …
pairs. However, many other types of crime patterns have not been extensively investigated …
The impact of criminal psychology trend prediction based on deep learning algorithm and three-dimensional convolutional neural network
Y Wu - Journal of Ambient Intelligence and Humanized …, 2021 - Springer
To enhance crime prevention, methods of predicting crime trends are researched. First, the
concepts and theories of criminal psychology are analyzed. Second, the Convolutional …
concepts and theories of criminal psychology are analyzed. Second, the Convolutional …
Need to go further: using INLA to discover limits and chances of burglaries' spatiotemporal prediction in heterogeneous environments
P Boqué, M Saez, L Serra - Crime Science, 2022 - Springer
Near-repeat victimization patterns have made predictive models for burglaries possible.
While the models have been implemented in different countries, the results obtained have …
While the models have been implemented in different countries, the results obtained have …
Exploring the Relative Importance and Interactive Impacts of Explanatory Variables of the Built Environment on Ride-Hailing Ridership by Using the Optimal …
The impact of the built environment on the ridership of ride-hailing results depends on the
spatial grid scale. The existing research on the demand model of ride-hailing ignores the …
spatial grid scale. The existing research on the demand model of ride-hailing ignores the …