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Yingjie Du and Ning Ding
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 citizens to carry out effective crime prevention measures. In this paper,...
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Hongjie Yu, Lin Liu, Bo Yang and Minxuan Lan
Crime prediction using machine learning and data fusion assimilation has become a hot topic. Most of the models rely on historical crime data and related environment variables. The activity of potential offenders affects the crime patterns, but the data ...
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Edward Helderop, Tony H. Grubesic, Dominique Roe-Sepowitz and Jorge A. Sefair
There is ongoing debate regarding the merits of decriminalization or outright legalization of commercial sex work in the United States. A few municipalities have officially legalized both the selling and purchasing of sex, while others unofficially crimi...
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Karl Vachuska
Much research has documented the contagiousness of violence. Some of this work has focused on contagiousness as operationalized by the spread across geographical space, while other work has examined the spread within social networks. While the latter bod...
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Qifen Dong, Yu Li, Ziwan Zheng, Xun Wang and Guojun Li
Crime prediction is crucial for sustainable urban development and protecting citizens? quality of life. However, there exist some challenges in this regard. First, the spatio-temporal correlations in crime data are relatively complex and are heterogenous...
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Miguel Saraiva, Irina Matijo?aitiene, Saloni Mishra and Ana Amante
Crimes are a common societal concern impacting quality of life and economic growth. Despite the global decrease in crime statistics, specific types of crime and feelings of insecurity, have often increased, leading safety and security agencies with the n...
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Anton Borg and Martin Svensson
The evidence that burglaries cluster spatio-temporally is strong. However, research is unclear on whether clustered burglaries (repeats/near-repeats) should be treated as qualitatively different crimes compared to spatio-temporally unrelated burglaries (...
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Miaomiao Hou, Xiaofeng Hu, Jitao Cai, Xinge Han and Shuaiqi Yuan
Crime issues have been attracting widespread attention from citizens and managers of cities due to their unexpected and massive consequences. As an effective technique to prevent and control urban crimes, the data-driven spatial?temporal crime prediction...
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Eunseo Kwon, Sungwon Jung and Jaewook Lee
Crime prediction research using AI has been actively conducted to predict potential crimes?generally, crime locations or time series flows. It is possible to predict these potential crimes in detail if crime characteristics, such as detailed techniques, ...
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Hong Zhang, Jie Zhang, Zengli Wang and Hao Yin
Effective predictive policing can guide police patrols and deter crime. Hourly crime prediction is expected to save police time. The selection of spatial resolution is important due to its strong relationship with the accuracy of crime prediction. In thi...
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Panagiotis Stalidis, Theodoros Semertzidis and Petros Daras
In this paper, a detailed study on crime classification and prediction using deep learning architectures is presented. We examine the effectiveness of deep learning algorithms in this domain and provide recommendations for designing and training deep lea...
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Areeba Umair, Muhammad Shahzad Sarfraz, Muhammad Ahmad, Usman Habib, Muhammad Habib Ullah and Manuel Mazzara
In today?s world, security is the most prominent aspect which has been given higher priority. Despite the rapid growth and usage of digital devices, lucrative measurement of crimes in under-developing countries is still challenging. In this work, unstruc...
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Yasmine Lamari, Bartol Freskura, Anass Abdessamad, Sarah Eichberg and Simon de Bonviller
While the use of crime data has been widely advocated in the literature, its availability is often limited to large urban cities and isolated databases that tend not to allow for spatial comparisons. This paper presents an efficient machine learning fram...
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Pawel Cichosz
Geographical information systems have found successful applications to prediction and decision-making in several areas of vital importance to contemporary society. This article demonstrates how they can be combined with machine learning algorithms to cre...
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Zengli Wang, Lin Liu, Hanlin Zhou and Minxuan Lan
Crime geographical displacement has been examined in many Western countries. However, little is known about its existence, distribution, and potential predictive ability in large cities in China. Compared to the existing research, this study contributes ...
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Yicheng Tang, Xinyan Zhu, Wei Guo, Ling Wu and Yaxin Fan
As a major social issue during urban development, crime is closely related to socioeconomic, geographic, and environmental factors. Traditional crime prediction models reveal the spatiotemporal dynamics of crime risks, but usually ignore the environmenta...
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Tongxin Chen, Kate Bowers and Tao Cheng
This study aimed to evaluate the relationships between different groups of explanatory variables (i.e., dynamic human activity variables, static variables of social disorganisation and crime generators, and combinations of both sets of variables) and pro...
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Paria Sarzaeim, Qusay H. Mahmoud, Akramul Azim, Gary Bauer and Ian Bowles
Smart policing refers to the use of advanced technologies such as artificial intelligence to enhance policing activities in terms of crime prevention or crime reduction. Artificial intelligence tools, including machine learning and natural language proce...
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Aynaz Lotfata, Stefanos Georganos, Stamatis Kalogirou and Marco Helbich
Some studies have established relationships between neighborhood conditions and health. However, they neither evaluate the relative importance of neighborhood components in increasing obesity nor, more crucially, how these neighborhood factors vary geogr...
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Anneleen Rummens, Thom Snaphaan, Nico Van de Weghe, Dirk Van den Poel, Lieven J. R. Pauwels and Wim Hardyns
This article assesses whether ambient population is a more suitable population-at-risk measure for crime types with mobile targets than residential population for the purpose of intelligence-led policing applications. Specifically, the potential use of a...
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